Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Notice
This document has been produced by ATKINS for the Forestry Commission solely for the purpose of the ‘Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland’ project.
It may not be used by any person for any other purpose other than that specified without the express written permission of ATKINS. Any liability arising out of use by a third party of this document for purposes not wholly connected with the above shall be the responsibility of that party who shall indemnify ATKINS against all claims, costs, damages and losses arising out of such use.
Document History
JOB NUMBER: 5061146 DOCUMENT REF: Quantification Report Revision Purpose and Originated Checked Reviewed Authorised Date Description D12 Minor corrections for JB MM MM MM 19/09/2008 definitive publication D11 For publication MB, JB JB JB MB 19/08/2008 D7 For internal comment JDH, MB, JB, JH, JM IL MB MB MB 28/07/2008
MB – Mike Blanch. JDH – Joanna Hayduk. JM – James Mackellar. JH – Jim Handy. JB – James Blackwood, IL – Ingar Loftus, MM – Martin Mannion.
Contact Information
Mike Blanch Wind Energy Manager Atkins Chilbrook Oasis Business Park Eynsham OX29 4AH
Tel: 01865 734148 Fax: 01865 883060 Email: [email protected]
2 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Executive Summary
The quantification of wind energy potential on the Forestry Commission estate has been performed using a novel automated process, applied to the forest blocks that occupy approximately 10% of the land area of Scotland. This site selection exercise has been automated to a high degree using a specially developed GIS tool (the ‘Tool ’) which ascertains the suitability of each forest block based upon a set of constraints, chooses the most appropriate wind turbine type for those forest blocks and quantifies the potential energy yield and capacity. The Tool and its internal modelling methodologies have been tuned by Atkins wind experts to accurately reflect the potential suitability of land for the development of wind turbine projects (‘developability’). The Tool is a powerful and highly configurable ArcGIS® extension which itself is a deliverable from the project and is owned by the Forestry Commission. It allows the Forestry Commission to run various wind energy or constraint scenarios and is designed to allow an evolving model of site suitability in reaction to changes in constraints, wind profiles or turbine technology. The results generated by the Tool are presented using both graphical and tabular formats, which can be located in section 5 of this report. These results were produced using parameters that Atkins wind experts believe best illustrates the wind energy potential in the Forestry Commission estates as of July 2008, given the development constraints accounted for within the Tool at that date. Quantified in the Tool are seven major areas of constraint: 1. Wind speed - Adjusted NOABL wind speed at 45 m 2. Topography 3. Aviation interests 4. Environment designations 5. Ecology and landscape designations 6. Residential areas 7. Proximity to the electrical distribution network The tool does not currently include the ability to model grid connections (e.g. available capacity, load flows, etc) as this isn’t cost effective at such an early stage of a wind farm devel opment exercise and wouldn’t normally form a part of the site selection process. This is because grid access is a dynamic situation (especially since a recent BERR review on the current status of the transmission net work has proposed changes to the transmission system) and is invariably site specific, which makes it difficult to quantify without expending considerable effort. Grid access is therefore usually part of the ‘feasibility’ stage of wind development, undertaken only for the best sites emerging from a site sel ection exercise. In the feasibility stage, sites are examined in more detail. An initial turbine selection and layout is determined for the site giving an estimated capacity. Grid connection for that resulting capacity is assessed and consultation with key stakeholders (particularly the Distribution Network Operator) is undertaken. The table below shows the potential ‘net capacity’ available in the Forest ry Commission regions within Scotland, reported according to their ‘Developability’.
Capacity (MW) % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total 12.9 110.2 19.9 160.4 North Scotland 495.9 4749.3 5697.3 1478.4 177.6 12598.5 South Scotland 87.0 1915.0 3012.4 1605.5 24.0 6643.9 305.0 20555.2
Gross potential wind energy capacity on the Forestry Commission estates within Scotland.
3 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
However, some of this capacity is already accounted for by wind farm options on the Forestry Commission land in Scotland. The Tool also identified a number of forest blocks that might be able to accommodate wind farms in excess of 50 MW. For these forest bocks an additional analysis of their proximity to the transmission network was performed by Atkins within the ArcGIS® environment and wind farms not sufficiently close to the transmission network had their capacity capped at 50MW (which is the average maximum capacity where connection to the distribution network can be accommodated). Reducing the potential capacity by these existing options and the transmission network cap reduces the potential capacity on Forestry Commission land as illustrated in the following table.
Capacity (MW) % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total North Scotland 455.9 3502.3 4103.6 1025.4 117.6 9204.8
South Scotland 45.0 1289.0 2069.5 1444.5 24.0 4872.0
Net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options and capping wind farms at 50 MW if they are not within 20km of the transmission network
If it is assumed that the development success rate of these sites will be equivalent to the long term planni ng success rate in Great Britain of 65% then the potential capacity is reduced as shown in the table below and the number of associated projects in the table below that. .
Capacity (MW)
% of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total North Scotland 296.3 2276.5 2667.3 666.5 76.4 5983.1 South Scotland 29.3 837.9 1345.2 938.9 15.6 3166.8
Net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options, capping wind farms at 50 MW if they are not within 20km of the transmission network and applying a planning success rate of 65%
success rate osu % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total North Scotland 8 39 61 20 3 131 South Scotland 1 13 31 22 1 68
Number of likely net potential wind energy projects on the Forestry Commission estates within Scotland after removing options and capping wind farms at 50 MW if they are not within 20km of the transmission network and applying a planning success rate of 65% applying a planning success rate of 65%
4
The table below shows the spread on wind speed for the Scottish regions. Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission - The table below shows the spread on wind speed for the Scottish regions
Capacity (MW) Wind Speed (m/s) >= 8.0 < 8.0 >= 7.5 < 7.5 >= 7.0 < 7.0 >= 6.5 < 6.5 >= 5.8 Total
North Scotland 50.0 380.0 1693.9 3384.7 3696.2 9204.8 South Scotland 141.7 129.0 1007.4 1968.0 1625.9 4872.0
Wind speed segmentation for net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options and capping wind farms at 50 MW if they are not within 20km of the transmission network
The figure below illustrates the spread of wind speeds across given the ‘developability’ and net potential wind energy capacity on the Forestry Commissions estates within Scotland after removing options and capping wind farms at 50 MW if they are not within 20km of the transmission network.
Scottish sites with Adjusted NOABL 45 m agl wind speed across the viable cells
< 6.5 m/s >= 6.5 m/s < 7.0 m/s >= 7.0 m/s < 7.5 m/s >= 7.5 m/s < 8.0 m/s >= 8.0 m/s 100% 66% 33%
10
9
8
4
3
2
1 Developability 0
0 50 100 150 200 250 300 350 400 Capacity (MW)
Developability versus capacity for all of the forest blocks passing filter thresholds Capacity is the net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options and capping wind farms at 50 MW if they are not within 20km of the transmission network The slanted lines give an idea of how ‘Developability’ at larger site might translate if a smaller part of that site was developed, assuming a 10% standard deviation in master grid constraint numbers across the viable cells in a forest block.
To realise this capacity will require each wind project to secure connection to the electricity network. A determination of connectivity to the existing or proposed electricity network would form part of a future study. Projects less than 50 MW normally connect into the distribution network and their connection will depend on the local spare capacity, whilst larger wind farms above 50 MW are likely, and above 100 MW are certain, to require connection to the transmission network. Connection to the transmission network is known to be very limited at least until 2016, although implementation of the measures recommended in the recent Transmission Access Review may imp rove this situ ation. With a large portfolio of geog raphically diverse sites the Forestry Commission is in an ideal position to select the very best sites in respect of both ‘developability’ and capacity, which are likely to achieve connection to the relevant electricity network.
5 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Contents 1 Introduction ...... 7 2 Methodology ...... 8 2.1 Synopsis ...... 8 2.2 The Model ...... 8 2.3 Wind Expert Verification ...... 11 3 Key Development Considerations ...... 13 3.1 Development Process ...... 13 3.2 Planning Overview ...... 14 3.3 Grid Overview ...... 16 4 Results ...... 19 4.1 Results Format ...... 19 4.2 The GIS Tool ...... 19 4.3 The Results File ...... 19 4.4 Consultant Verification ...... 21 4.5 Graphical Results ...... 21 4.6 Tabular results from the results file ...... 24 5 Wind Energy Potential on Forestry Commission Estates within Scotland 25 5.1 Potential Capacity ...... 25 5.2 Capacity Deductions ...... 27 5.3 Capacity and Wind Speed ...... 29 5.4 Capacity and Developability ...... 29 5.5 Low Capacity Sites ...... 32 6 Appendix A – Definitions ...... 47 6.1 Terms ...... 47 6.2 Abbreviations ...... 47 7 Appendix B – Data Filters ...... 48 7.1 Forestry Commission Boundaries ...... 48 7.2 Model Filters ...... 50 7.3 Display ...... 69 8 Appendix C – Other Project Documents ...... 73 9 Appendix D – Developability ...... 74 10 Appendix E – Model Verification ...... 75 10.1 Verification of Sample Sites ...... 75 10.2 Verifying Sites from the Tool Output ...... 79 11 Appendix F – A Selection of Completed Manual Site Assessment Forms 12 Appendix G – Full Results Table 13 Appendix H – Results for Scottish Options 14 Appendix I – Long Term Planning Success Rates
6 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
1 Introduction
The Forestry Commission (FC) required the quantification of commercial wind energy generation potential across its managed land assets in Scotland. A GIS-based tool (the ‘Tool’) was developed by Atkins for this purpose. It allows the FC to identify the levels of constraint to wind energy development on its land assets using the most current constraints data. It is highly configurable so that it can be adjusted to run different constraint scenarios, adapt to future constraint changes, add additional constraints or reflect the impact of changes in turbine technology, should t his data become available in the future. Atkins’ wind experts have configured the Tool so that it identifies the best sites for wind energy development based upon the constraints accounted for within the Tool as at July 2008.
This report presents the results from executing the Tool against the FC’s forest blocks across Scotland. It should be noted that a written report can only give a flavour of the full results, which are more intuitively examined by interrogating the data within ArcGIS® and the Tool itself. The Tool passes 300m by 300m cells within the forest blocks through 7 filters related to various constraints, which have thresholds and scores. The Tool then displays the cumulative results of this scoring system on a single map (the master grid’ by using a colour scale). Green cells are least constrained whilst red cells are most constrained. At the forest block level, the Tool amalgamates the results of the 300m by 300m cells (including their suitability) within the block and then renders the block in colour, based upon its suitability.
The model outputs are then used to p redict the potential installed capacity and the resulting energy yield from the FC’s estates within Scotland.
The constraint filters are represented in The Tool as raster layers. The threshold values (e.g. of wind speed) and the weightings of the 7 filters applied to areas passing the threshold values are based on Atkins best judgement within the current wind energy development climate. The Tool is designed so that this configuration can be amended by the user to forecast on the basis of different scenarios.
The level and variation of constraints within the blocks is used to rank sites in order of suitability for potential commercial wind energy development or ‘developability’.
The Tool will not highlight every single site with wind energy potential. It is designed to highlight sites that are most likely to be suitable and warrant further investigation through a further ‘feasibility study’. A feasibility study would consider aspects of wind energy project development that cannot currently be realistically quantified at a national level (i.e. they need to be measured within a site’s immediate locality).
One example is connection to the electricity grid. Whilst proximity to the distribution network is included as a constraint and proximity to the transmission network is determined through results post-processing, the likelihood of connectivity to the grid is not included. The ability to connect to either the distribution or transmission networks is very site specific and can depend upon the infrastructure (current and planned), and the amount and location of others who are connected or who have applied to connect. Whilst beyond the scope of this work (it is a large piece of work in its own right), Atkins can conduct such a study and incorporate the results as an additional constraint layer. Given the scale of potential sites, the FC will need to discuss on a wider basis with the distribution network operators as to how the development of the wind energy potential on its land can best be achieved in the future.
The Functional Requirement Specification (FRS) document, the Data Specification document and the User Guide have been or will be supplied to the FC separately. These documents detail the requirements and implemented functions of the Tool, as previously agreed between the FC and Atkins.
Appendix A contains the definitions of terms.
7 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
2 Methodology
2.1 Synopsis
The methodology in quantifying the wind energy capacity involves a number of largely iterative processes. The Tool breaks the forest blocks into 300m by 300m grid squares (master grid cells). It then passes these through a number of filters that contain both thre sholds and scorings. Where a filter threshold is not passed (e.g. there isn’t sufficient wind speed) it means that the cell is not viable for that constraint so it is given a zero mark. Where this happens the master grid cell’s value is also set to zero. If it does pass all the thresholds then the score associated with all filters is summed to give a positive master grid cell value. Master grid cells are then coloured green, red or amber accordingly to their scores so that the better sites can be easily identified within the ArcGI S® application. The master grid cell value and the individual filter values can be seen by interrogating these layers within ArcGIS®.
Master grid cell values for the viable master grid cells are then used by the Tool to calculate the ‘developability’ (rank) for each forest block; this measures the potential suitability of a forest block for wind farm development. ‘Developability’ is then used to colour the forest blocks on a scale from red to green, indicating their suitability. The viable area for development within a forest block and the average wind speed within that viable area is used to determine the most appropriate turbine type, based upon the energy yield and lifetime operating cost of the turbine. The Tool is configured to evaluate 3 turbines with capacities of 900 kW, 2 MW and 3 MW respectively, although the turbine types and their characteristics may be configured within the tool (including the configuration of additional turbine types). The associated capacity and resulting energy is then calculated. Results data is output in GIS format and as a CSV results file, including the ‘developability’. During execution of the tool, an.XML file contai ning turbine calculations is also generated, principally for further analysis of the turbine, energy and cost calculations. Further analysis of the results is performed manually and plots of developability versus capacity are produced and discussed.
The results can be display ed in the Tool according to a number of different colour schemes, though red to green has been chosen at present. Furthermo re, since the data is output in a common ESRI shapefile and GRID format, the full power of the ArcGIS® application can be utilised to perform additional analysis on the results data. 2.2 The Model
The main purpose of the Tool is to model the energy potential and wind fa rm development suitability of real world objects. It does this by modelling a sequence of constraints (filters) to determine land area suitability, then uses turbine and wind speed data to determine energy potential.
The Tool uses a number of input parameters:
Filters: ESRI grid files that measure certain types of constraint (e.g. environmental, aviation, residential, topographical). The constraint will have some impact upon the potential suitability of an area of land for the purposes of wind farm development Degree of Influence: A change in relative impact, or controlled bias, applied to a filter by a llocating it a % influence on the model result, measured out of 100% Designation Layer: An ESRI shapefile containing the real world objects for which energy yield is to be determined and against which potential suitability for wind farm development is measured. Wind Speed Layer: An ESRI grid specifying the measured wind speed within a particular cell, used to calculate energy yield RAG threshold: RAG Threshold determines the colour of master grid cells and allows a visual determination of the suitability of individual cells within the designation objects. The green range depicts the most suitable cells, the amber range those that are suitable and the red range those that are least suitable.
8 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Turbine Types: A list of all the types of wind turbine that should be considered within the Tool, along with their attributes (manufacturer, model, capacity, cost, hub height, separation distance and power curve). Output Location: The location and name of the output files (Master Grid, Reporting Layer and Turbine Calculations). The Tool produces 3 outputs:
Reporting Layer: This is an ESRI shape file containing the results of the model aggregated to the real world objects that were defined by the designation layer. Output Grid: This is an ESRI GRID file containing the master grid layer, which represents the potential suitability of the master grid cells for wind farm development. Turbine Calculations: This is an XML file containing the num ber of turbines, capacity, CAPEX c ost over 20 years and energy yield for each turbine. The process for translating the inputs into the outputs is illustrated in Figure 1 below. Detail of the filters applied and their derivation is given in Appendix B of this report. Detailed information regarding the specification and operation of the Tool is located in the separate Functional Requirement Specification (FRS), Data Specification and User Guide.
2.2.1 Developability
Developability is a mechanism for determining the relative potential suitability of designation objects for wind farm development. It can be used to quickly determine those designation objects that are most li kely to receive consent for wind farm development.
It uses an algorithm reflecting that the presence of some low scoring constraints would greatly reduce the likely further development relative to others with the same average level of constraint.
Appendix D contains the table of theoretical sites ordered according to their likely development potential and shows how this is reflected in the ‘developability’ number defined there.
2.2.2 Adjusted NOABL Wind Speed and Threshold
Atkins has adjusted the BERR Annual Average Wind Speed Database for 1 km2 squares at 45 m height, which is derived from the NOABL fluid flow m odel. The adjustment takes into account the roughness (ground cover) in the 6 km area around the 1 km 2 square where the master grid square is located 1. This correction can reduce or increase the value of the NOABL wind speed; in extreme cases the difference between the original and the adjusted can be 25% (see Appendix B section 7.2.1). Areas that can seem to have an appropriate level of wind speed above the threshold when looking at the unadjusted NOABL wind speed may well fall under the threshold for the adjusted NOABL wind speed.
This adjusted NOABL wind speed will remove a number of poorer wind sites from consideration. In addition Atkins has revised the threshold from the original specification, which stated that only sites at a wind speed greater than 6.5m/s at hub height should pass through the tool. A wind speed of 6.5m/s, at a hub height of approximately 80m, equates to a wind speed of 6m/s at a height of 45m. In order to reduce the number of developable sites that cou ld have potentially been omitted as a result of this, a threshold value of 5.8 m/s has been applied. The wind speed of 5.8 m/s at 45m agl corresponds to approximately 6.3 m/s at a hub height of 80m, which is a commercially viable wind speed.
The functionality of the Tool also enables analysis to be performed using the original unadjusted BERR Annual Average Wind Speed Database which is available to be loaded. All analysis in this report used the adjusted database only.
1 Where a master grid cell straddles different 1 km2 square the wind speed is calculated on a pro rata basis.
9 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Figure 1: The GIS Tool Methodology
10 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
2.2.3 Turbine Types
The Tool estimates the potential installed capacity and energy yield that could be accommodated on land deemed potentially suitable for wind energy development within a forest block, by modelling the most cost effective turbine that could fit within this area. Three turbine models that span the range of large turbines available in the currrent market are used within the Tool. Their use does not indicate a recommended or preferred machine. These turbines all have different hub height options but reflect the height expected in medium to good wind speed regimes i.e. those that will be of main interest to develop.
Make and Model Rated Rotor Hub Height Notes Power Diameter (m) Output (kW) (m) Enercon E44 900 44 55 One of the smallest “large” turbines in the market. This would be one of the smallest turbines to be adopted on a block that would be expected to have a reasonable commercial viability. Vestas V80 2000 80 78 One of the many 2 MW turbines on the market. It is fairly typical of the dimensions of such models. Vestas V90 3000 90 80 The V90 is an example of one of the largest onshore wind turbines on the market, both in terms of physical size (rotor diameter) and generation capacity.
Table 1: Turbine Models used in the Tool
2.2.4 User Guide
The Tool is accompanied by a User Guide to lead the user through the inputs required for a successful run. The User Guide is a separate document that will be issued with the Tool. 2.3 Wind Expert Verification
The Tool brings together the sources of data used when manually undertaking a wind energy site identification exercise. In bringing these together on such a large scale, it was important to ensure that the sites identified by the Tool were as appropriate for wind development as it suggests.
Atkins’ wind consultants therefore verified the Tool in the following ways:
1. The 7 raster layers produced for the filters were each checked against the o riginal data supplied to produce them. They were then each given a check against other data e.g. the Aviation filter was checked against the Topographical Air Charts (VPN), since it was possible that the original data had omitted, for example, an airport and its associated exclusion zones.
2. After the first run of the Tool itself, the consultants reviewed the full results spreadsheet in order to understand the output and to identify any obvious errors/anomalies and make sure the raster layer filters were being applied as intended. As an initial check, sites that were known from previous experience to be developable and sites that were known to be unsuitable were checked to see that the GIS Tool results identified the limitations that had been found in practice (See Appendix E).
3. Once any issues from points 1 and 2 above were resolved, the Tool was run again. A selection of forest blocks (highly suitable, suitable and least suitable) underwent a manual check by the consultants to confirm that each of the filters had accurately identified constraints to development.
The checking process utilised the following data:
Proximity to aviation interests checked using aviation maps;
11 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Environmental designations such as National Parks checked using data from Scottish Natural Heritage 3; Ecological designations, such a s green belt and forest designations checked using data from Scottish Natural Heritage; Proximity to residential properties assessed using Ordnance Survey maps and satellite images; Topography using the Ordnance Survey online tool for the assessment of terrain slope; Wind speed from NOABL to confirm that wind speed adjustment factors look sensible; Estimated capacity based on the potential number of turbines that could be located on the site ; and Proximity to existing/planned wind farms using the BWEA interactive map and wind farm database. The form used for this checking is in Table 2 below:
4. Once the manual checks confirmed th e validity of The Tool, the table of results was manipulated to calculate possible energy yields across forest blocks, regions and nationally.
Appendix F includes a selection of the completed manual site assessment forms.
Site Reference No: A1 Site Name: Example Wood Grid Reference 123456, 123456 Raster Score Reviewer Comment Agree with tool? Y/N
Aviation insert Insert comments i.e. No known Y aviation constraints Ecology Environmental Electricity Residential Topography Wind Speed Total Master Grid Cell Score Estimated Reviewer Comment Is the predicted Capacity capacity realistic (MW) Y/N Insert Insert comments If no, insert new predicted estimated capacity capacity Summary:
Reviewer:
Table 2: Forest Block Post-Modelling Assessment Form
3 http://www.snh.org.uk/ (accessed 17/06/08)
12 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
3 Key Development Considerations
3.1 Development Process
The wind farm development process has a number of stages:
1. Site Selection – identifying sites with potential (i.e. the Tool output)
2. Feasibility Study – confirming data (the Tool already does this part inherently) and then going on to the first design layout for the site, accounting for local constraints, initial financial forecast, consultation on this layout with statutory stakeholders and initial discussion with the Distribution Network Operator.
3. Development Stage 1, Survey and Assessment - ensuring clear responses from the statutory stakeholders are received, analysing the risks identified in the feasibility study, performing a Key Area Review across about 20 key areas and a review of planning policy. Specialists examine and survey where appropriate the key areas with greatest risk with a view to risk mitigation. Electrical connection specialists will decide on a suitable point of connection points to the electrical network with the Distribution Network Operator. Initial financial modelling accounting for risk mitigation. The potential solution agreed upon is then discussed with planners at a screening meeting. An application for a Generation Licence to OFGEM for sites where clients do not already hold one is usually made.
The measurement of wind data for a period of 12 months is obtained. This is either from getting planning permission for meteorological mast(s) and then logging the data or by purchasing data where it is available (which is generally the exception). The wind data is necessary to determine the type of turbine to install and maximise the energy yield. It also provides the evidence required by manufacturers before a warranty can be given and is part of the mandatory information for third party finance. The wind data also allows for more accurate energy yields to be calculated.
4. Development Stage 2 - Planning development stages include applications for Screening and Scoping Opinions from the local planning authority (these can often be carried out at the same time as wind monitoring). Any environmental work that results from these applications is carried out (Environmental Statement, Environmental Impact Assessment or Environmental Report) in addition to public consultation and then a full planning application is submitted.
5. Design and Construction - Upon successfully gaining planning permission and discharging conditions, contracting, detailed design and construction occur.
There may be opportunities to bypass some part of this process. One such example is if the wind resource had previously been monitored nearby and the data can be used/obtained/purchased from its owners. The necessary acceptance of alternative data by the turbine manufacturer will depend on the terrain, local obstacles, and proximity to turbine class boundaries. In the event that such data is accepted, the Wind Monitoring Mast planning application, installation and period of wind monitoring can be avoided.
The Tool automates site selection and some of what a conventional feasibility study would check in terms of confirming available data. Feasibility would also produce an initial turbine layout, consider site-specific grid connection and confirm suitability (or at least lack of reasonable objection) by consultation with key stakeholders. Where a site still looks suitable for development, planning for a Meteorological Mast is usually sought and 12 months of data collected. Typically in parallel, the level of environmental survey and assessment is proposed/confirmed with the Local Plannin g Authority and then enacted. Provided the site still looks suitable a planning application will then be made. The long term UK planning success rate is 65%. If planning is achieved then detailed design commences and the contracts put in place for turbine supply and site build. Lead times on turbines an d transformers can be of the order of 16 months. Once these are delivered to site the wind farm is constructed normally at a rate of 1 turbine every 3 working days. The turbines can be operational soon after.
13 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
3.2 Planning Overview
It is crucial to note that all proposals for commercial wind energy development will require planning permission, which is determined by either the Local Planning Authority or at national level depending upon the scale of proposal and call-in powers. Whilst the Tool evaluates the key issues in respect of constraints to such development and ranks the suitability of sites accordingly as an important first stage of site selection, this approach is not comprehensive in its analysis of site suitab ility and the determination of a planning application could be significantly affected by factors that have not been considered as part of this evaluation process. A s such, the results of this exercise can only be used as a guide to areas of potentially low constraint, where applications for wind turbines may be considered more favourably. It is normal to then consider specific sites in a greater level of detail as part of a feasibility study. Some of that detail is helpfully already incorporated in the Tool, but site specific grid connection and confirmation of suitability from key stakeholders are two areas that would be addressed by the more detailed feasibility study.
This section outlines factors that could significantly affect the determination of planning applications on sites deemed to be potentially suitable as a result of this study.
3.2.1 Levels of Constraint
The Tool has identified key constraints to major wind energy development and, in most cases, where forest blocks fall within those identified areas of constraint or within a defined buffer distance, the site has either been discounted (i.e. deemed unsuitable) or has received a low score. Conversely, those sites falling outside the defined buffers have received higher scores. However, in reality each individual constraint identified will ultimately have varying degrees of sensitivity and this has not been factored into this initial study. For example, where a SSSI is designated due to its flora interests (such as special grasslands), then a wind farm is unlikely to have any impact upon this designation unless it is to be physically located within it. In contrast, should the SSSI be designated for important ornithological interests then wind turbines situated beyond the defined limits of the designation may cause concern as a result of potential ecological impacts. In such cases the buffer applied in the tool may not be sufficient should it be determined that the wind farm would be l ocated within an important corridor of bird flight. Another example of this can be explained in respect of Scheduled Ancient Monument (SAM) designations. An underground burial ground could be designated as a SAM and , as such, wind turbines may be tolerated closer to the designation subject to no demonstrable disturbance resulting from a proposal whilst again, conversely, wind turbines may not be considered acceptable where they adversely affect views of SAM’s above ground. Once again, subject to topography, the buffer applied by the tool may not be sufficient.
The weighting of these issues and impact of proposals upon individual constraints will be considered at the feasibility stage and planning application stage.
3.2.2 Localised Constraints
Localised constraints have not been considered at this stage. Such constraints could significantly affect the feasibility of a wind energy scheme or impact upon the potential generating capacity of a site. Examples of such constraints are listed below (please note that this list is not exhaustive):
Residential property not identified by the data, i.e. temporary accommodation and tourist accommodation such as caravan parks and camp sites etc (impact upon amenity by virtue of noise, shadow flicker etc.) Access issues (impact of new road infrastructure, access for associated traffic) Localised wildlife habitats and interests Local landscape designations Proximity to overhead power lines Proximity to roads, footpaths, bridleways Proximity to underground services Potential impact upon radio communication links (this can be is especially limiting) Watercourses
14 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Localised topography Cumulative landscape impact (considering all other tall structures in the area) Local ground conditions
The aforementioned issues are all likely to be considered at the planning application stage.
3.2.3 A Dynamic Industry
The environment in which planning applications for wind energy schemes are assessed is extremely dynamic. For example, it is not unusual for proposals to receive at least holding objections from all licensed aerodromes consulted as part of the planning process (includes all licensed aerodromes situated within 30km of the application site) and also from the MoD (a statutory consultee on all such schemes), in respect of the potential impact upon air defence radar. At present this aviation issue is recognised as a significant barrier to development; however, a landmark agreement has been reached between the government and the industry. This aims to remove aviation and radar barriers to the major expansion of wi nd energy. This “Memorandum of Underst anding”, signed by government departments, agencies and industry follows the Prime Minister's commitment to find a technical solution to aviation and radar objections to wind farms.
Whilst the above is a positive example of the volatile industry environment, there is equally the potential for negative shifts to occur (although the aforementioned recent announcement by the government should minimize the occurrence of such events).
3.2.4 Policy The planning policy environment is also relatively dynamic. As a result of changes in planning legislation, at a local level, numerous Local Planning Authorities (LPA’s) a re currently in the process of preparing their Local Development Framework (LDF) which in time will replace outdated Local Plans. These documents could feasibly include prescriptive policies in respect of wind energy developments (i.e. preferred areas of development, ‘no-go’ areas, maximum capacity thresholds etc.). Planning applications that are considered contrary to such policies are unlikely to be determined favourably.
Strategic policy at both regional and national level could also affect specific proposals. As a result of these strategies, developers have concentrated their interests in those areas, resulting in cumulative landscape impact issues and a backlog of planning applications. It is difficult for the FC to entirely mitigate this risk since not every ongoing development will be in the public domain until the need arises for it to make a planning application.
3.2.5 The Determination
Whether they are approved or refused, planning applications seeking consent for wind turbines are, in most cases, viewed as being highly contentious. Whilst every planning application should be considered on its own merits and decisions made based purely on material planning grounds, there are numerous examples of applications being supported and recommended for approval by council officers and their recommendations being subsequently refused by council members. It is evident that strength of public opinion can clearly affect this decision making process.
3.2.6 Recommended Approach
In light of the above, it is recommended that the wind energy sites promoted in this study are viewed as preferred options in potentially less constrained areas only. The larger the potential site capacity, the more likely it will have at least some developable capacity once the non-quantifiable constraints have been accounted for.
Each site must be subject to further site-specific investigation and scrutiny to further determine its suitability. This is standard procedure and best-practise in major wind energy proposals. In addition to further detailed investigation, it is recommended that the LPA, all statutory consultees and other keystakeholders are consulted at an early stage to fully understand the significance of the issues identified and to ascertain the studies and mitigation that is necessary to satisfactorily address these issues. It is conceivable that,
15 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission following this more detailed appraisal, it becomes evident that a site previously considered suitable is in fact not viable for one or more of the aforementioned reasons. 3.3 Grid Overview
To realise a site’s capacity each wind project has to secure connection to the electricity network. A determination of connectivity to the existing or proposed electricity network would form part of future work. Projects less than 50 MW normally connect into the distribution network and their connection will depend on the local spare capacity, whilst larger wind farms above 50 MW are likely, and above 100 MW are certain, to need to connect to the transmi ssion network. Connection to the transmissio n network is known to be very limited at least until 2016 although measures recommended in the recent Transmission Access Review may improve this situation. With a wide portfolio of potential sites the Forestry Commission is in an ideal position to select the very best sites in respect of both ‘developability’ and capacity, which are likely to achieve connection to the relevant electricity network.
Connection to the electricity transmission network is currently a highly limiting factor particularly in Scotland. The transmission network there is close to saturation and within both Scottish Power's and Scottish and Southern’s seven year statements, there is mention of a large amount of additional wind developm ent to which they have already assigned connection capacity; there is already a large queue for further capacity.
If the capacity required to be connected is less than say, 99MW, then it may b e possible to connect directly into the distribution network (as embedded generation). A connection to the distribution network could be achieved earlier than 2016.
3.3.1 Grid Connection Risks
The main area of risk for a generation developer in respect of a grid connection is the possibility of delays associated with the construction of new substations and overhead lines. Much of this delay is caused by the requirement to apply for Section 37 of the Electricity Act for the construction of new overhead lines and Section 36 o f the Electrici ty Act for new sub stations. This could require a public inquiry and wayleave hearings.
It is possible to reduce the need for Section 37 by installing underground cables, but this does have a large cost impact of approximately 4 times that of a 132k V overhead line and up to 10 times that of a 275kV or 400kV overhead line.
3.3.2 Regulatory Overview
The Department for Busin ess Enterprise and Re gulatory Reform (BERR) with OFGEM are reviewing the framework for access to the transmission system. The Transmission Access Review4 (TAR) was published on 26 June 2008. Its chief aim is to support the delivery of the government’s aspiration to have 20 percent of Britain’s electricity supplied through renewable generation by 2020. Targets in Scotland are higher than this. Access to the grid is a key line of enquiry.
The Interim Report to the Secretary of State5 was published on 31/01/2008 and an A nalytical Discussion Document on 17/04/2008.
4 http://www.berr.gov.uk/files/file46774.pdf, Accessed July 2008 and 5http://www.ofgem.gov.uk/Networks/Trans/ElecTransPolicy/tar/Documents1/080131_TAR%20Interim%20Re port_Consultation_FINAL.pdf, Accessed June 2008
16 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
In terms of Access Reform the initial conclusions were:
1. Access regime changes required - in particular that 'renewable generators having achieved planning consent should be confident of well defined and bankable transmission rights without undue delay’
2. Certainty of connection - variable generation offers the opportunity to connect a higher proportion of generating capacity for a given amount of transmission capacity and a package of measures over the medium and long term is likely to achieve this.
3. Accuracy of access determination - Access model should be more holistic and determined from the 'bottom up'. It is not sufficient to merely adopt one or more of the three access models identified in the Call for Evidence. Rather it is necessary to develop detailed ‘straw-man’ models.
4. Urgency - in the short to medium term, renewable projects need to have confidence that, if they achieve planning consent, they will have a grid connection offer with appropriate defined and bankable transmission rights that are reasonably consistent with their likely development programme.
As part of the Transmission Access Review, BERR and OFGEM have made the following recommendations to improve access to the transmission network. The full OFGEM report on the Transmission Access Review (TAR) can be found at http://www.berr.gov.uk/files/file46774.pdf. Below is an extract of the summary of the main areas that will improve transmission grid access.
Short term measures
Given the current delays in connection, OFGEM and BERR believe that there should be urgent steps taken to connect new generation more quickly, and ahead of impleme ntation of the enduring access regime. This means that for an interim period there should be a form of “connect and manage” to accelerate new connections. Appropriate queue management is vital to enable viable generators to access the transmission system, and OFGEM will work with National Grid to ensure its revised methodology works appropriately. Time-limited GBSQSS derogations will be assessed by OFGEM and the Transmission Operators (TOs) to help connect more generators in the short -term, ahead of reform of the enduring access arrangements. In circumstances where the benefits do not justify the costs of derogations from the GBSQSS access sharing may prove to be the best way to accelerate connection. Existing CUSC modifications that support this proposal should be advanced more quickly by the relevant wo rking group to enable early decisions by the authority. This is particularly the position in the case of capacity sharing (i.e. CAP 163). These measures could allow around 1GW of new renewable connections including just under 600MW of projects that already have planning consent. The GBSQSS review should apply its findings to a wider review of the SQSS in light of the Transmission Access Review (TAR) amendment proposals, and Round 3 of offshore wind. There is a further range of operational measures that are in progress or are being developed which could have a significant effect on transmission system capability, and ultimately in connecting new capacity.
Long term measures
In addition to the significant amount of work that needs to be taken forward to revise the grid access arrangements and how capacity is acquired and used, the way in which new grid infrastructure is planned and developed also needs to be accelerated. OFGEM will initiate a workstream to consider the appropriate incentives on the TOs and GB System Operator (GBSO) to deli ver new grid infrastructure on time so that new arrangements can be put in place alongside the revised access regime. Alternative funding arrangements for building new infrastructure projects such as opening them up to competition may yield benefit to generators and consumers.
17 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
A significant system study setting out the necessary system capability to meet the 2020 targets will begin shortly and will conclude by the e nd of 2008. The Electricity Networks Strategy Grou p will have oversight of this study.
3.3.3 Security and Quality of Supply Standards
One of the key criteria for the grid connection is that it will need to conform to the current British Security and Quality of Supply Standards (SQSS). In summa ry, connections for onshore generation should be such that no more than 1000MW of ‘power in-feed’ should be lost in the event of any si ngle circuit fault and no more than 1320MW (soon to be revised when agreement is reached for new nuclear build) in the event of a double circuit overhead line fault or two concurrent single circuit faults.
Additionally due to the British electricity market rules (BETTA), generation connections are generally planned by the transmission licensee, such that generation output will not be constrained by operating secure against the risk of any single incident. However, this is currently under review due to the large amount of planned renewable energy connections and the requirement to meet the UK’s 202 0 projections for 20% renewable energy.
National Grid are currently considering the possibility for relatively large renewable projects to be connected to the grid via a single circuit with less substations, which are cheaper, simpler and quicker to gain consents. The disadvantage of this is that it does allow the grid connection to be easily expanded should more developers be interested in the same location
Large wind farms will need to comply with the Grid Code Requirements, in that there may be a requirement for reactive compensation. This should be sized to allow variations to the incoming power factor between 0.95 leading and lagging. If the wind farm is connected via an underground cable, then shunt compensation may be required to compensate for the surplus capacitive charging current produced by the underground cable.
3.3.4 Generation Connection Charges
The connection between the transmission network and individual power stations is called a ‘generation connection’. Within the charging principles of the British transmission system, charges which fall upon the generators are limited to those assets which are used solely by the generator. T he costs of assets that integrate the generation into the grid are classed as ‘infrastructure’ and socialised across all users, to which the generator would pay a reasonably high contribution.
3.3.5 Summary
Since electricity network connection is specific to localised distribution or transmission networks there may be some opportunity to connect at existing connection points or exploit spare capacity prior to 2016, but the location of a vailable capacity may not correspond to the location of the forest blocks. Given the wide geographical spread of the FC's potential site portfolio, it seems likely that some blocks will be able to exploit available capacity. However, overall grid connection will greatly limit the short to medium term development potential and/or involve an extra level of contractual agreement preventing the realisation of the full potential.
To improve the likelihood of a connection date earlier than 2018, the quality of the grid application to National Grid must be of a very high standard, with some optioneering having been undertaken by the developer in relation to grid connection. It would be advantageous to have gained the necessary consents for construction of a new overhead line before the application is made.
Another way of improving the likelihood of an earlier connection date is to share a connection with other developers. From a grid connections perspective, it will be important to determine the existence of other developers who may be interested in the same area. Developers would gain from an improved collective connection offer and from sharing the grid connection cost.
Amendments to the Connection and Use of System Code (CUSC) should be closely monitored, to measure its impact on new grid connection applications.
18 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
4 Results
4.1 Results Format
There are 3 main outputs from the Tool:
Graphical: Colour coded master grid cells Graphical: Colour coded forest blocks along with the calculated attributes Results in a CSV file that can be read by Excel. A turbine selection calculation is output as an XM L file whi ch can be used to analyse the output fo r any turbine for a particular forest block. 4.2 The GIS Tool
The way the Tool presents data ca n be configured. In this report the result s are presented as indicated below.
The master grid cells are graded as red, amber, green or transparent.
Red Least suitable for development Amber Suitable for development Green Most suitable for development No colour Unsuitable for development as one or more filters have identified the block as unviable.
Table 3: Master grid cell colours and their status
The forest blocks are graded on a graduated scale going from red, through amber, to green.
Red Less suitable for development Amber Suitable for development Green Most suitable for development
Table 4: Forest block colours and their status
It is very important to stress that the GIS tool is a strategy tool used to indicate the potential suitability of an area. Areas with a high ‘developability’ are not zero risk areas; all development areas carry risk. Although the Tool examines many key constraints that limit wind development, it does not address all the risks that may prevent development at a site. Conversely, it is also important to note that even when a forest block does not h ave a high ‘developability’, it does not mean that turbines cannot be located upon it, just that consideration must be given to the much higher level of associate risk. One way of managing risk is to attempt to develop a much lower capacity than the area is capable of, possibly with a mind to extending the capacity later. 4.3 The Results File
The results from the CSV results file are given n Appendix G. 8 of the columns (FOREST, EXTENT, CREATE_ID, BLKDATA_ID, BLK, OBJE CTID, SHAPE_AREA, SHAPE_LEN) represent the original forest block data supplied by the Forest Commission. The headings added by Atkins to display the results are explained in the table below.
19 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Column No. Name Content 10 ATMGV Total Average Master Grid Value i.e. the sum of the average individual filter results for the viable cells (columns 19 to 25) in the forest block 11 TurbineTyp The example model of turbine most suited to this site. This is just an indication of the type of model that can fit; it is not a recommendation of make/model. 12 NoTurbines The number of turbines of the specified turbine type that can fit in the viable area available within in the forest block. 13 EnergyYiel The total energy yield in MWh produced by the number of turbines of the specified turbine type. 14 Capacity The total installed wind turbine capacity or rated power in MW. 15 WindSpeed The average wind speed across the viable cells within a forest block, specified in metres per second. 16 RANK (Developability) The Total Average Master Grid Value adjusted to account for the spread of filter values in the forest block. 17 V_AREA The area of viable master grid cells within the forest block, measured in m2 18 V_CELL The number of viable master grid cells within the forest block 19 Avi The average “score” for the viable master grid cells within the forest block for the Aviation Interests filter. 20 Eco The average “score” for the viable master grid cells within the forest block for the Ecological and Landscape Designations filter. 21 Env The average “score” for the viable master grid cells within the forest block for the Environmental Designations filter. 22 Grid The average “score” for the viable master grid cells within the forest block for the Grid Connections filter. 23 Res The average “score” for the viable master grid cells within the forest block for the Residential Properties filter. 24 Wind The average “score” for the viable master grid cells within the forest block for the Adjusted Wind Speed filter. 25 Topo The average “score” for the viable master grid cells within the forest block for the Topography filter.
Table 5: Column Headings added by Atkins to the results file
For each filter, every one of the many 300x300m cells within the forest block is marked out of 10 for suitability. This value is then multiplied by the weighting applied to the filter:
Filter Degree of Influence Aviation 14% Ecology 14% Environmental 14% Electricity 14% Residential 14% Topography 15% Wind Speed 15% Total 100%
If a cell is allocated a value of 6 for Aviation, then this is adjusted for its filter weighting (degree of influence) of 14%: 6*0.14=0.84
20 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
The weighted values for all the cells through the single filter are averaged across the viable cells in the forest block to give a total filter score for the forest block. These are given under the seven filter column headings in the main results table. These headings are defined by the user within the Tool. The 7 filter values are then summed to give the Total Average Master Grid Cell Value (ATMGV).
The weightings are set at largely similar proportions in the run reported here as they all have the potential (via different concerns) to prevent development. However, the Tool allows the balance to be adjusted.
Any zeros that appear in the results columns indicate a forest block is unviable for development based on that particular filter. For example, some forest blocks have a zero under ‘Wind’ as the wind speed across the cells in the block has not reached the required 5.8 m/s at 45m above ground level. Another example would be any zeros under the ‘Env’ filter would indicate forest blocks that sit directly within a National Park. (therefore are considered unviable for development). Where a forest block has been assigned an ATMGV value of zero, but none of the individual filter values are zero, then it is the combination of two or more filters that is responsible for making the forest block unviable.
For blocks where only a handful of cells are viable within a filter, the total will be non-zero so will still pass through to be summed.
RAG status is applie d to the viable master grid cells across all land assets. The colour assigned to the master grid cell is decided by the value of that cell; the higher the score, the greater the suitability of the cell for development. The division of red, amber and green is given below:
Green –viable cells whose values sit in the top 25% of the range of master grid cell values Amber – viable cells whose values sit within the middle 50% of the range of master grid cell values Red – viable cells whose values sit in the bottom 25% of the range of master grid cell values
The forest block is then rendered in colour based upon its ‘developability’, with red forest blocks indicating low ‘developability’ and green forest blocks indicating high ‘dvelopability'.
One forest block was removed from the designation layer. - Toberchurn (block 68 in district 517). After the project had commenced, the Forestry Commission informed Atkins that this block had been sold and therefore it has been removed from this assessment. 4.4 Consultant Verification
Specific parts of the verification are reported in Appendix E. 4.5 Graphical Results
The results are shown for each of the 2 FC regions as illustrated in the figure below.
21 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Forest DiStricts & Regions c==J Nolih Scotland c==J South Scoilandl
Figure 2 Forest districts and regions
The following figures show the results for the 300m by 300m master grid cells.
22 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Figure 5: North Scotland GIS Output showing the 300 m by 300 m Master Grid Cells coloured according to constraint number
23 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
4.6 Tabular results from the results file
The full results are given in Appendix G – Full Results Table. The top sites by ‘developability’ (RANK) can be seen below with the top score of 9.66 being the maximum score given the degrees of influence used. It is noteworthy that the highest score of 9.6 refers to a single turbine at Denlethen whereas the second highest score of 9.37 refers to a large wind farm of 23 turbines of 39MW at Glen Shira.
In the following tables, the colour of the FOREST cells represents the region to which the forest block belongs. These colours can be matched against those in Figure 2 to identify the region.
1 2 3 6 10 11 12 13 14 15 16 19 20 21 22 23 24 25 FID FOREST EXTENT BLK ATMGV TurbineTyp NoTurbines Energy Yield (MWh/yr) Capacity (MW) WindSpeed (m/s) RANK Avi Eco Env Grid Res Topo Wind 27 513 Denlethen 3 10.0 E44 900kW 1 1964 0.9 7.0 9.66 1.4 1.4 1.4 1.4 1.4 1.5 1.5 1213 501 Glen Shira 13 9.8 V90 3.0 MW 13 88040 39.0 6.6 9.37 1.4 1.4 1.4 1.2 1.4 1.5 1.5 516 503 Barcaldine East 20 9.8 V90 3.0 MW 3 16309 9.0 6.0 9.24 1.4 1.2 1.4 1.4 1.4 1.5 1.5 212 518 Ach0shellach 9 9.8 V90 3.0 MW 3 17124 9.0 6.1 9.10 1.4 1.2 1.4 1.3 1.4 1.5 1.5 963 501 Kilmoray 21 9.7 V90 3.0 MW 14 81047 42.0 6.2 8.92 1.3 1.4 1.4 1.4 1.2 1.5 1.5 305 516 Invershin 46 9.6 V90 3.0 MW 8 48244 24.0 6.3 8.64 1.4 1.2 1.4 1.1 1.4 1.5 1.5 466 518 Morriston 5 9.6 V90 3.0 MW 18 103565 54.0 6.1 8.51 1.4 1.3 1.4 1.1 1.4 1.5 1.5 512 517 Strathgarve and Corriemoillie 82 9.6 V80 2.0 MW 2 8278 4.0 6.0 8.34 1.4 1.4 1.4 1.0 1.4 1.5 1.5
515 503 Northwest Mull 15 9.3 V80 2.0 MW 6 24834 12.0 6.0 8.19 1.4 1.3 1.4 1.1 1.1 1.5 1.5 88 714 Brownmoor 44 9.4 V90 3.0 MW 3 16309 9.0 6.0 8.14 1.0 1.4 1.4 1.4 1.2 1.5 1.5 432 518 Inch0cardoch 4 9.5 V90 3.0 MW 55 341260 165.0 6.4 8.04 1.4 1.4 1.4 0.9 1.4 1.5 1.5 226 516 Fourpenny 54 9.3 V80 2.0 MW 7 28973 14.0 6.0 8.00 1.4 1.0 1.4 1.2 1.4 1.5 1.5 434 518 South Loch Ness 3 9.2 V90 3.0 MW 11 66647 33.0 6.3 7.92 1.4 1.1 1.4 1.1 1.3 1.5 1.5 244 701 Strathlachlan 5 9.2 V90 3.0 MW 12 65238 36.0 6.0 7.85 1.2 1.4 1.1 1.1 1.4 1.5 1.5 635 503 Aintuim 9 9.1 V90 3.0 MW 20 130132 50.0 6.5 7.73 1.1 1.2 1.4 1.0 1.3 1.5 1.5 7 513 Fetteresso 7 9.0 V90 3.0 MW 25 177576 75.0 6.8 7.72 1.0 1.4 1.4 1.1 1.2 1.5 1.5 402 518 Glen Varagill 18 9.0 V90 3.0 MW 48 345345 144.0 6.8 7.66 1.0 1.2 1.4 1.1 1.3 1.5 1.5 28 513 South Drumtochty 4 9.2 V90 3.0 MW 24 168532 72.0 6.7 7.62 1.1 1.4 1.4 0.9 1.3 1.5 1.5
Table 10: Scotland top 20 forest blocks based upon developability
1 2 3 6 10 11 12 13 14 15 16 19 20 21 22 23 24 25 K K
489 FID 518 FOREST Glen Vicaskill EXTENT 19 BL 9.0 ATMGV V90 3.0 MW TurbineTyp 60 NoTurbines 4215Energy Yield 38 (MWh/yr) 180.0Capacity (MW) 6.7WindSpeed (m/s) 7.38 RANK 1.0 Avi 1.3 Eco 1.4 Env 1.0 Grid 1.4 Res 1.5 Topo 1.5 Wind 235 701 Corlarach 11 9.0 V90 3.0 MW 57 471647 171.0 7.3 7.46 1.1 1.1 1.4 0.9 1.4 1.5 1.5 432 518 Inch0cardoch 4 9.5 V90 3.0 MW 55 341260 165.0 6.4 8.04 1.4 1.4 1.4 0.9 1.4 1.5 1.5 402 518 Glen Varagill 18 9.0 V90 3.0 MW 48 345345 144.0 6.8 7.66 1.0 1.2 1.4 1.1 1.3 1.5 1.5 1198 501 Deucheran 34 9.1 V90 3.0 MW 40 286522 122.0 6.8 7.28 1.1 1.4 1.4 0.8 1.4 1.5 1.5 268 701 North Otter 15 9.0 V90 3.0 MW 37 302800 111.0 7.3 7.34 1.0 1.4 1.4 0.9 1.4 1.5 1.5 683 519 Clunes 61 9.1 V90 3.0 MW 28 213312 84.0 7.0 7.13 1.4 1.3 1.4 0.7 1.4 1.5 1.5 209 518 Strome 11 9.3 V90 3.0 MW 27 182187 81.0 6.6 7.32 1.4 1.4 1.4 0.7 1.4 1.5 1.5 7 513 Fetteresso 7 9.0 V90 3.0 MW 25 177576 75.0 6.8 7.72 1.0 1.4 1.4 1.1 1.2 1.5 1.5 671 511 Aultmore 18 8.8 V90 3.0 MW 25 212304 75.0 7.4 7.14 0.8 1.4 1.4 1.0 1.2 1.5 1.5 28 513 South Drumtochty 4 9.2 V90 3.0 MW 24 168532 72.0 6.7 7.62 1.1 1.4 1.4 0.9 1.3 1.5 1.5 1196 501 Grogport 33 9.3 V90 3.0 MW 23 129953 69.0 6.1 7.36 1.4 1.3 1.4 0.7 1.4 1.5 1.5 932 504 Montreathmont 33 9.2 V90 3.0 MW 22 123013 66.0 6.1 7.62 1.4 1.4 1.4 0.9 1.2 1.5 1.5 466 518 Morriston 5 9.6 V90 3.0 MW 18 103565 54.0 6.1 8.51 1.4 1.3 1.4 1.1 1.4 1.5 1.5 635 503 Aintuim 9 9.1 V90 3.0 MW 20 130132 50.0 6.5 7.73 1.1 1.2 1.4 1.0 1.3 1.5 1.5 632 503 Lettermore 10 9.1 V90 3.0 MW 54 390143 50.0 6.8 7.49 1.1 1.3 1.4 0.9 1.4 1.5 1.5 975 501 Brenchoillie 14 9.0 V90 3.0 MW 106 698460 50.0 6.5 7.28 1.3 1.1 1.4 0.8 1.4 1.5 1.5 200 518 Enrick 2 9.1 V90 3.0 MW 16 89410 48.0 6.1 7.11 1.4 1.2 1.4 0.7 1.4 1.5 1.5 963 501 Kilmoray 21 9.7 V90 3.0 MW 14 81047 42.0 6.2 8.92 1.3 1.4 1.4 1.4 1.2 1.5 1.5 1213 501 Glen Shira 13 9.8 V90 3.0 MW 13 88040 39.0 6.6 9.37 1.4 1.4 1.4 1.2 1.4 1.5 1.5
Table 11: Scotland top 20 forest blocks based upon capacity, as a subset of the top 40 forest blocks based upon developability
24
29 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
5 Wind Energy Potential on Forestry Commission Estates within Scotland
5.1 Potential Capacity
The table below shows the net capacity potentially available in the Scottish Forestry Commission regions segmented according to their developability score, which is shown in 20% increments of decreasing developability. The most suitable site given the filter weight ings could achieve a developability value of 9.66, so in the tables below the ‘top 20%’ have values approximately between 7.73 to 9.66, ’topmid 20%’ have values between 5.8 and 7.73, ‘mid 20%’ have values between 3.86 and 5.8, ’midlow 20%’ have values between 1.93 and 3.86, and ‘low 20%’ have values less than 1.93.
Capacity (MW) % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total North Scotland 495.9 4749.3 5697.3 1478.4 177.6 12598.5
South Scotland 87.0 1915.0 3012.4 1605.5 24.0 6643.9
Table 12: Gross potential wind energy capacity on the Forestry Commission estates within Scotland
Number of Wind Farm Projects % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total North Scotland 13 62 99 33 5 212 South Scotland 3 23 50 35 2 113
Table 13: Gross potential wind energy projects on the Forestry Commission estates within Scotland
However, some of this capacity is already accounted for by wind farm options on the Forestry Commission in Scotland ; the tables below show the effect of removing this capacity.
25 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Capacity (MW) % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total North Scotland 465.9 3992.3 4398.6 1274.4 135.6 10266.8 . South Scotland 45.0 1399.0 2213.7 1605.5 27.0 5290.2
Table 14: Net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options
Number of Wind Farm Projects % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total North Scotland . 13 61 95 32 5 206 28 South Scotland 2 21 48 35 2 108
Table 15: Net potential wind energy projects on the Forestry Commission estates within Scotland after removing options
The Tool also identified a number of forest blocks that might be able to accommodate wind farms in excess of 50 MW. For these forest bocks an additional analysis of their proximity to the transmission network was performed by Atkins within the ArcGIS® environment and wind farms not sufficiently close to the transmission network had their capacity capped at 50 MW (which is the average maximum capacity where connection to the distri bution network can be a ccommodated). Reducing the potential capacity by these existing options and the transmission network cap reduces the potential capacity on Forestry Commission land as illustrated in the following table (the project numbers remain the same).
Capacitytop 20% (MW)topmid 20% mid 20% midlow 20% low 20% Total % of Maximum DeliverabilityNorth Scotland 455.9 3502.3 4103.6 1025.4 117.6 9204.8
. South Scotland 45.0 1289.0 2069.5 1444.5 24.0 4872.0.
Table 16: Net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options and capping wind farms at 50 MW if they are not within 20km of the transmission network
If it is assumed that the development success rate of these sites will be equivalent to the long term planni ng success rate in Scotland of 65% then the potential capacity is reduced
Appendix J explains how the long term planning success rate figure is derived. There are some reasons to believe that the planning success rate for a collection of blocks of a certain capacity might be higher than 65%: adopting a systematic and portfolio-based approach to obtaining wind farm consent, taking account of the conservative assumption of viable wind speed and other constraints in the Tool, any assuming some likelihood that forest blocks will have adjacent developable land may all increase the likelihood of planning success. Also the fact that some forest blocks do share boarders with each other increases the likelihood of successful combined project. However, a feasibility study will often uncover a number of local planning issues that, on average, are likely to temper the success rate of the full capacity identified.
26 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Capacity (MW) % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total
North Scotland 296.3 2276.5 2667.3 666.5 76.4 5983.1 . South Scotland 29.3 837.9 1345.2 938.9 15.6 3166.8
Table 17: Net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options, capping wind farms at 50 MW if they are not within 20km of the transmission network and applying a planning success rate of 65%
Number of Wind Farm Projects % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total
. North Scotland 8 39 61 20 3 131 . South Scotland 1 13 31 22 1 68
Table 18: Number of net potential wind energy projects on the Forestry Commission estates within Scotland after removing options, capping wind farms at 50 MW if they are not within 20km of the transmission network and applying a planning success rate of 65%
Points to Note: It is important to note that some of the constraints highlighted by the tool can occasionally be overcome at a local level (e.g. aviation issue s, proximity to ecological and landscape designations) but local planning policy is not something that could be incorporated into the tool within the scope of this site selection study.
When one or two filters score poorly and all the others score highly, it is important to investigate the reason for the poor scores. A low filter score could be a potential show-stopper (e.g. siting turbines on the edge of an RSPB reserve) or something much milder that could potentially be overcome (e.g . within close proximity of a registered park or garden or near an ancient monument). The ‘developability’ value avoids the situation where average high scores across a number of filters make a forest block appear fairly suitable for development, whilst the low score of just the one filter could prevent development from the outset. 5.2 Capacity Deductions
The following diagram illustrates the impact upon potential capacity within the Forestry Commission estates, of deducting the capacity of existing option areas, capping wind farms at 50 MW if they are not within 20km of the transmission network and reducing capacity to 65% base d upon the planning success rate across Great Britain.
27 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Scotland 81.38GW
Nett capacity for Scotland latter development filters applied}
Nett capacity for Scotland with options removed Nett capacity for Scotland with options removed and sites with poor transmission grid proxnmty capped at 50 MW \. \..
Nett capacity for Scotland wnh options removed and sites with poor transrrussion gnd proximity capped at 50 MW and a success rate of 65%
Figure 7: Funnel diagram illustrating the impact on gross potential wind energy capacity of deducti ng the capacity of areas already optioned and capping wind farms at 50 MW if they are not within 20km of the transmission network and applying a planning success rate of 65% Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
5.3 Capacity and Wind Speed
The table below details the breakdown of capacity within the Forestry Commission estates using wind speed ranges.
Capacity (MW) Wind Speed (m/s) >= 8.0 < 8.0 >= 7.5 < 7.5 >= 7.0 < 7.0 >= 6.5 < 6.5 >= 5.8 Total
North Scotland 50.0 380.0 1693.9 3384.7 3696.2 9204.8 South Scotland 141.7 129.0 1007.4 1968.0 1625.9 4872.0
Table 19: Wind speed segmentation for net potential wind energy capacity on the Forestry Commission estates within Scotland after removing options and capping wind farms at 50 MW if they are not within 20km of the transmission network 5.4 Capacity and Developability
The figure below plots ‘developability’ against capacity for all of the viable forest blocks (without any reductions or capping) and illustrates that there is a wide range of variability. Since it is possible to develop a smaller capacity on a site, the dashed lines give an dea of how developability might rise if a smaller capacity was developed on a site. This is derived by assuming that a developability of 7 at 100 MW is on the boundary between good a nd very good, assuming that the developability within a block has a standard deviation of 10% and that the distribution follows a normal distribution. The upper line represents 100% with the next line representing 66% and the lowest line representing 33%.
29 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Scottish Forest Blocks before reduction
10
9
8
7
6
5
4 Developability
3
2
01
0 100 200 300 400 500 600 700 Capacity (MW)
Figure 8: Developability versus gross capacity for all of the viable forest blocks on the Forestry Commission estates within Scotland. The slanted lines give an idea of how developability at larger site might translate if a smaller part of that site was developed assuming a 10% standard deviation in master grid cell values across the viable cells in a forest block.
The figures that follow illustrate the wind speed ranges for viable forest blocks, overlaid upon a graph of developability versus net capacity for those forest blocks. Net capacity is this instance is the forest block capacity after removing the capacity already optioned and capping wind farms at 50 MW if they are not within 20km of the transmission network. 30 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Scottish sites with Adjusted NOABL 45 m ag l wind speed averaged for the viable cells < 6.5 m/s >= 6.5 m/s < 7.0 m/s >= 7.0 m/s < 7.5 m/s >= 7.5 m/s < 8.0 m/s >= 8.0 m/s 100% 66% 33% 10
9
8
7
6
5
4 Developability
3
2
1
0 0 50 100 150 200 250 300 350 400 Capacity (MW)
Figure 10: D evelopability versus net c apacity for all of the vi able forest bl ocks on the For estry Commission estates within Scotland, after removing optioned areas, and capping wind farms at 50 MW if they are not within 20km of the transmission network. The slanted lines give an idea of how developability at larger site might translate if a smaller part of that site was developed assuming a 10% standard deviation in master grid cell values across the viable cells in a forest block.
31 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
5.5 Low Capacity Sites
There are a number of low capacity sites (those equal to or less than 10 MW of capacity for Scotland) and these are listed in the tables below. In Scotland there are 112 forest blocks with capacity less and equal to 10 MW with a total capacity of 540 MW
Capacity (MW) . % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total . North Scotland 22.9 65.3 191.3 80.4 12.6 372.5 South Scotland 9.0 10.0 77.4 68.5 3.0 167.9
Table 20: Net potential small scale wind energy capacity on the Forestry Commission estates within Scotland after removing existing options and SSAs
Number of Wind Farm Projects % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total
North Scotland 4 14 33 14 4 69 South Scotland 1 2 18 21 1 43
Table 21: Net potential small scale wind energy projects on the Forestry Commission estates within Scotland after removing existing options and SSAs
Capacity (MW) % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total
North Scotland 14.9 42.4 124.3 52.3 8.2 242.1 South Scotland 5.9 6.5 50.3 44.5 2.0 109.1
Table 22: Net potential small scale wind energy capacity on the Forestry Commission estates within Scotland after removing existing options, SSAs and applying a planning success rate of 65%
32 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Number of Wind Farm Projects % of Maximum Deliverability top 20% topmid 20% mid 20% midlow 20% low 20% Total
North Scotland 2 9 21 9 2 43
South Scotland 0 1 11 13 0 25
Table 23: Net potential small scale wind energy projects on the Forestry Commission estates within England and Scotland after removing existing options, SSAs and applying a planning success rate of 65%
\', ,~cottish si~es<= 10 MW (112 off, 540 MW) with Adjusted NOABL 45 m a91wind speed . < 6.5m/s • >= 6.5m/s < 7.0m/s • >= 7.0m/s < 7.5m/s • >= 7.5m/s < 8.0m/s • >= 8.0m/s - - 100% ----66% ----33% 10 • 9
- - - 8 ------t"- --- L_ _ 7 • ~ :c 6 ftI ------4 1------Q. 0 5 -; ._------> ------_. (I) 4 c ! 3+------~"~------~----I------~~----~__. ;-1. ______~------~------~------~------+_------+_----_1 ~~ ------.. ------_. 2+------~------~----_4~-----+------_+------~------~------~------~----~
0+------~------~----~------+------~------~------4------+------~----~ o 2 3 4 5 6 7 8 9 10 Capacity (MW)
Figure 14: Developability versus capacity for Scottish sites <= 10 MW Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
6 Appendix A – Definitions
The following section lists the terms, acronyms and abbreviations associated with the Tool. 6.1 Terms
Filters – A variety of factors affect the suitability of a site to host wind turbines (e.g. the location of environment designations, the wind speed, etc). Each factor is embodied within a filter. A filter is represented by a raster GIS ASCII grid layer which has been generated in the pre -processing stage of the project. An example of a filter would be the ‘environmental designations’, which would contain national parks.
Forestry Commission designation area – This is a vector GIS layer which represents a Forestry Commission designation region or area used to clip the master grid and calculate turbine and site suitability. Forest block, compartment and sub-compartment designations are all forms of Forestry Commission designation area.
Master Grid – This represents the raster output of the model run, it is an ASCII raster grid which holds the combined values of the input filters within master grid cells.
Raster – In its simplest form, a raster consists of a matrix of cells (or pixels) organised into rows and columns (or a grid) where each cell contains a value representing information (e.g. temperature, height, speed, etc). Rasters can be digital aerial photographs, imagery from satellites, digital pictures, or even scanned maps.
Forestry Commission Wind Farm Site Selection Tool – An ArcGIS 9.2 extension for ArcMa p developed for the purposes of this project to satisfy the requirements defined in the Functional Requirements Specification document. 6.2 Abbreviations
GIS – A geographic information system (GIS), also known as a geospatial information system, is a system for capturing, storing, analysing and managing data and associated attributes which are spatially referenced to the Earth.
47 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7 Appendix B – Data Filters
7.1 Forestry Commission Boundaries
Data supplied from: Forestry Commission forest blocks shapefile
As the objective of the Tool is to assess the viability of wind energy on F C land, it only required sufficient graphical data to assess these land areas so an FC boundary filter was set. The data is rasterised into the 300m by 300m cells. Where the cell is more than 50% occupied by FC land, the cell is included as viable. Cells that contain no FC land or less than 50% FC land are designated as unviable.
The results of the filter are shown in Figure 15.
One implication of this is that a master grid square may show up as suitable but if it contains a mere 51% of FC land, it could be third party land that is more suitable than the FC land. Areas where the opposite occurs (e.g. where 49% is the FCs) are equally likely to exist but these won’t show up in the analysis since they are excluded by this filter. So the error for the overall result can be assumed negligible although it should be noted that some individual master grid squares may show incorrect results.
48 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
• Forest Blocks
Figure 15 Raster output showing the forest block boundaries
49 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.2 Model Filters
When identifying a site for potential wind energy development, there are several elements that can reduce its viability. Seven of these factors have been assessed by assigning each one a filter:
Wind speed Topography Aviation interests Proximity to residential areas Areas of environmental Importance Areas of ecological and landscape importance Proximity to electricity distribution network
It is also possible to map the location of existing wind farms across Scotland; this information can then be used to manually assess the possible cumulative impact of other wind farms upon a development or to identify whether a wind farm already exists within a forest block.
When constructing these filters, constraint levels have been based upon large wind farms (> 5 turbines).
All the figures detailing the filters contain a rectangle designating the ‘Area of Interest’. This represents the Forestry Commission estates within Scotland. Data was not generated for land outside of this box as the FC did not have assets there; including data for this land would increase the quantity of data that would need to be processed by the tool thus increasing cost and run times.
Each filter is detailed below.
7.2.1 Adjusted Wind Speed
Data supplied from: Department for Business, Enterprise and Regulatory Reform (BERR) NOABL Wind Speed Database at 45m above ground level, CE H (Centre for Ecology and Hydrol ogy) Land Cover Map 2000 1km dominant version (Raster Dataset)
The NOABL wind speed database provides estimated values of wind speed at three different heights for 1 km2 grid squares across Great Britain, using a standard roughness length of 0.03 m. The wind speed at a particular 1 km2 grid square will vary depending on the roughness of the ground surface surrounding it for circa 6 km. This roughness varies from open sea or lakes (low wind resistance) to heavily built-up areas with low and high rise buildings (chaotic). Different types of vegetation and planting densities will also lead to different roughness values. It is well known in the wind industry that wind speeds over forests are lower than expected. Atkins has therefore adjusted the NOABL wind speed database to reflect the effect of ground cover which is especially pertinent since the land in a significant proportion of the forest blocks is likely to experience some level of wind speed reduction due to forestation on and around them.
The CEH Land Cover Map 2000 categorises the surface coverage in 1km blocks. Using this categorisation, roughness values are assigned to the 1km2 grid squares across Great Britain. The NOABL wind speed for each grid square is then adjusted based on the roughness values of its surrounding grid squares to give a wind speed that is more accurate. In more open areas the adjusted wind speed is actually higher than the original NOABL wind speed. The maximum difference between the original and adjusted NOABL wind speed at 45 m across Great Britain is +1.680 m/s, with the minimum being -2.516 m/s. A cross plot of the original and adjusted values is shown in the figure below.
50 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
14
Series1 Series2 12 Series3 Series4
Series5 Series6
10 Series7 Series8
Series9 Series10
8 Series11 Series12
Series13 Series14
6 Series15 Series16
Original NOABL Series17 Series18
Series19 Series20 4 45 deg line Series22
Series23 Series24 2 Series25
0 0 2 4 6 8 101214 Adjusted NOABL
Figure 16: Cross plot of adjusted and original NOABL wind speeds (m/s) at 45 m
Where master grid cells are in a 1km 2 grid square and the adjusted wind speed is less than 5.8m/s at 45m above ground level they are designated as unviable for wind development as the financial return on the turbines installed would be less commercially attractive.
Figure 17 shows the filter layer output for wind speed.
51 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Wind Speed Constraint
Most Suitable
Unsuitable
• Forest Blocks
Figure 17: Ra ster output for wind speed. Areas designated as "most suitable" have an adjusted wind speed above 5.Bmls at 45m agl.
52 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.2.2 Topography
Data supplied from: Ordnance Survey Panorama converted into ESRI GRID format by the Forestry Commission
The topography of forest blocks and the surrounding area can restrict wind farm development for two main reasons:
Turbines need land at a gradient less than 17° for a secure foundation and installation. The determination of slope is carried out using a standard ArcGIS ‘slope’ analysis offered in ArcGIS Spatia l Analyst and areas with slope greater than 17° are designated as non viable. If the turbine has a large hill situated to the south west, the prevailing wind is disrupted, either reducing the wind resource that reaches the turbine or increasing the turbulence. Whether the hill feature will adversely affect a turbine is determined by assessing the position of a wind turbine in relation to the surrounding topography. This done by calculating the separation distance required for the wind turbine from the height drop as shown in the figure below.
Figure 18: Determining the height drop
The height drop is measured as the distance from the bottom dead-centre tip height plus elevation minus the feature elevation represented by the surrounding topographic feature (e.g. hill, building, etc) in question.
The required separation distance is measured as a length calculated by the following equation:
Required separation distance [km] = ((height drop*5)/rotor diameter) + 1
This distance dictates the viability of the wind turbine location. Where a cell is closer to the hill than the required separation distance then it is not viable, as there would be insufficient wind energy. Conversely, where the required separation distance is less than the distance to the cell then this indicates sufficient space has been allocated between the proposed wind turbine location and the surrounding topographic feature, as shown in the figures below:
Figure 19: Positive and negative height drops
53 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Combining the outputs from the slope assessment and the height drop assessment will results in the following combinations:
Slope < 17° and positive separation distance = viable Slope < 17° and negative separation distance = unviable Slope > 17° and positive separation distance = unviable Slope > 17° and negative separation distance = unviable
The output of this filter is displayed in Figure 20.
54 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Topographic Constraints _ Most Suitable
Unsuitable
_FClrest Blocks
Figure 20: Raster output of topographical data.
55 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.2.3 Aviation Interests
Data supplied from: CAA, Met Office, Aviation Charts, and Pooley’s Flight Guide
Wind turbines can impact on the operational safety of aircraft and airports, affecting civilian (including National Air Traffic Service (NATS)) and military (MOD) installations. In particular, wind turbines can appear on radar scans as ghost ‘aircraft’ and/or present ground obstacles around airports and low flying areas.
There are exclusions based on:
Aerodrome safeguarding NATS radar MOD Radar Met Office Wind Profiling Radars
There are four datasets available for looking at potential constraints from aviation capabilities:
CAA Supplied Aerodrome and Radar Data
Aerodrome Data
The CAA have supplied a list of all licensed aerodromes, and a potentially incomplete list of unlicensed aerodromes (since it is not actively maintained ), across the UK Civil Aviation Authority (CAA). The data supplied has certain safeguarding distances already applied at 30km, 17km or 2km.
The CAA also sets forth some guidelines for wind development safeguarding distances within their CAP764 statement6 based upon the presence of radar facilities and/or runway length. David Payne7 of CAA advised that the 30km surveillance radar requirement in CAP764 refers to primary radar. For secondary radar a 15 km safeguarding guideline distance is suggested. It should be noted that a list of primary and secondary radar is not available and it is very difficult to accurately determine the radar type at aerodromes.
The listed CAA sites with safeguarding distances set at 30km perceivably correspond to sites with primary surveillance radar and those set to 17km are where the runway is greater than 1100m. Where the 17km distance corresponds to an aerodrome with a run way less than 1100m it is presumed that a secondary surveillance radar is in operation. When applying the 30km and 17km recommended constraints, constraint values have been applied to reflect a likely reduction in constraint the further the wind turbine is placed from the aerodrome.
We feel that following the CAA recommendations set out in CAP7 64, the sites listed with a safeguarding distance of 2km in the CAA data should have this revised upwards to
5km for licensed aerodromes with runways less than 1100m (with no radar), 4km for unlicensed aerodromes with runways greater than 800m and 3km for unlicensed aerodromes with runways less than 800m.
Unlicensed aerodromes tend to accommodate other activities such as parachuting and gliding etc which can affect the recommended safeguarding limits around them. Unlicensed aerodromes by their very nature are much more difficult to catalogue so the CAA does not guarantee its unlicensed aerodrome data; the data can therefore only be taken as a general estimate of possible locations. Some additional sites listed in Pooley’s Flight Guide8 have also been added to the list to increase the coverage. Due to the incomplete nature of the data, investigations into the feasibility of the sites recommended by this project may highlight unlicensed aerodromes not previously identified; this could further constrain these sites.
6 http://www.caa.co.uk/docs/33/Cap764.pdf 7 Telephone call with Mike Blanch on Thurs 14th February 2008 8 Pooleys Flight Guide United Kingdom, 2008, available from www.pooleys.com
56 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
A list of Government Aerodromes (MOD Sites) was also provided by the CAA. It is stated in the ‘Wind Energy and Aviation Interests – Interim Guidelines’9, that military sites can only be assessed on a site-by-site basis. This means that it is difficult to assign a safeguarding distance, as each site will have different facilities. The CAA list sets a buffer distance of 30km for this filter which we have adopted.
It should be noted that the safeguarding recommendations are not black and white. A turbine that is 29km from an aerodrome where a 30km limit has been set may well be viable. Where applicable this has been reflected as a sequence of buffers around an aviation interest, each buffer having a different constraint value (and generally becoming more viable the further a wind farm is located from an aviation interest).
Radar Data
The CAA also provided a list of radar and air safety facilities. The CAA set the safeguarding distance on the supplied data for most of the MOD radar as 74km. An MOD response to radar safeguarding trials10 written in May 2005 concluded that:
“It is highly desirable for the MoD to operate a single, coherent, policy with regard to wind turbine farm developments. Therefore, wind turbine farm developments should be subject to scrutiny when within LoS (line of site) of MoD airfield radar regardless of ra nge. Within the UK, it is likely that the vast majority of development sites would be beyond LoS before reaching the 80 nm range. Due consideration should be given to routine traffic patterns for individual airfields, size of turbines, number of turbines and proximity of other wind turbine developments.”
The 74km separation is a guideline that was previously used but is still valuable to highlight areas of land close to MOD facilities. It is interesting to note that some wind farms are within 15km of radar facilities so we have graded the severity of the constraint into buffer zones. The buffer distances and their corresponding constraint values are not definitive, but they represent Atkins’ considered view on the relative level of constraint; they should be considered guidance figures only. It is very important to engage in early consultation with the MOD once a site has been identified as having development potential.
The Interim Guidelines stated that in 2002 there were thirteen such military radar facilities whilst the CAA 2008 list prov ides only seven. Resea rch shows that some radar stations have closed si nce 2002 whilst some others have amalgamated. There are likely to be some radar stations not mentioned due to their sensitivity.
The other air safety facilities on the CAA list are NATS facilities that require a 30km safeguarding distance.
NATS Radar - blade tip risk
The second available data set is the NATS blade tip risk database (http://www.bwea.com/aviation/nats.html). This is used to assign the risk of interference by a turbine upon the National Air Traffic Control Service, using a number of turbine heights. This gives a useful indication of potential issues in relation to air traffic control though as with the safeguarding guidelines above, cannot be taken as a definitive indication of the likelihood of achieving wind farm consent. Further analysis to assess the visibility of wind farms by radar and a consultation with the CAA and MOD would be a necessary future step for any potential wind farm site . This would be conducted as part of any future feasibility work.
We have a ssigned a low constraint level to this data.We feel it is important to be aware of the NATS coverage but as the data does not provide point sources for the NATS facilities, it is difficult to judge the extent of the constraint. Consultation at feasibility stage is more important for accurately understanding the position of NATS on a development.
9 http://www.bwea.com/pdf/Wind-Energy-and-aviation-interim-guidelines.pdf (accessed 18/03/08) published in 2002 by the DTI (now BERR), MOD, CAA and BWEA 10 The Effects of Wind Turbine on ATC Radar http://www.mod.uk/NR/rdonlyres/AD982B44-E165-48CD-B3BA- A24DE166CAD0/0/wind_turbines_enc1.pdf (accessed 03/04/08)
57 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
MOD Radar - CAA VFR Aviation Charts
The third dataset is the CAA VFR Aviation Charts which contain aerodrome and some radar locations. We previously understood that this data was available in GIS format; however, we have since discovered that this is not the case. We have derived the MOD Radar sites from the list supplied by the CAA.
It should be noted that some of the radar sites listed in the CAA database are not identified on the Aviation Charts and conversely there are High Intensity Radio Transmission Areas (HIRTAs) that are marked on the charts but not on the CAA database. We added the CAA supplied radar data into the data layer with the safeguarding distances explained above and used the radar data on the Aviation Chart as a manual check for the top sites passing through the tool.
Met Office Wind Profiling Radar
The Interim Guidelines State that “accurate weather forecasting and reporting is highly important to aviation safety. One of the most important effects for aircraft is wind shear, where the winds at different altitudes may vary greatly in both direction and speed. Wind profiling radars are susceptible to spurious reflections and, for this reason, developers should avoid planning wind farms in close proximity (10km or less) to such radars.” There are five Wind Profiling Radars across Great Britain 11; a safeguarding distance of 10km has been used.
Combined Data
The table below summarises all the aviation interests included in the aviation filter and the associated ratings and grid values assigned. 57 different exclusion zones are incorporated in this filter.
Type of Aerodrome Safeguarding Rating Grid Guideline Distance Value 12 Licensed aerodromes with 30km (with radar ) or When safeguarding is set to 30km: runways of 1100 m or more 17km (without radar) 0 to 10km = Very High No Data >10 to 17km = High 1 >17 to 25km = Medium 5 >25 to 30km = Low 7 >30km = Unconstrained 10 When safeguarding is set to 17km: 0 to 10km = Very High No Data >10 to 17km = High 1 >17km = Unconstrained 10 Licensed aerodromes with 17km (with radar where When safeguarding is set to 17km: runways of less than 1100 m known) or 0 to 10km = Very High No Data 5km (without radar) >10 to 17km = High 1 >17km = Unconstrained 10 When safeguarding is set to 5km: 0 to 5km = High 1 >5km = Unconstrained 10 Unlicensed aerodromes with 4km 0 to 4km = High 1 runways of more than 800 m >4km = Unconstrained 10 Unlicensed aerodromes with 3km 0 to 3km = High 1 runways of less than 800 m >3km = Unconstrained 10
11 http://www.metoffice.gov.uk/corporate/interproj/cwinde/profiler/index.html (accessed 18/03/08) 12 Based on the safeguarding distances recommended in the aerodrome data sent through by the CAA
58 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Type of Aerodrome Safeguarding Rating Grid Guideline Distance Value Military Aerodromes and Glider Varies from 5km to 0 to 10km = Very High No Data 13 Launching Sites Licensed 30km >10 to 17km = High 1 depending on use (each site assign individual separation) >17 to 25km = Medium 5 >25 to 30km = Low 7 >30km = Unconstrained 10 Air and Safety MOD radar sites Set to 18km, 30km or When safeguarding is set to 74km: 74km 0 to 10km = Very High No Data >10 to 15km = High 1 >15k to 40km = Medium 5 >40k to 74km = Low 7 >74km = Unconstrained 10 When safeguarding is set to 30km: 0 to 10km = Very High No Data >10 to 15km = High 1 >15 to 30km = Medium 5 >30km = Unconstrained 10 When safeguarding is set to 18km: 0 to 18km = Very High No Data >18km = Unconstrained 10 Air and Safety NATS radar sites 30km 0 to 10km = Very High No Data >10 to 15km = High 1 >15k to 30km = Medium 5 >30km = Unconstrained 10 NATS 140m Blade Tip Defined by data Exclusion Areas = Low 7 provided Anything else = Unconstrained 10 Met Office wind profiling radar 10km 0 to 10km = High 1 sites >10km = Unconstrained 10
The influence of each of the nine aviation interests tabulated above gives a score of ‘No Data’, 1, 5, 7 or 10. The lowest value of the nine scores for each cell is taken as the overall score for the cell as this corresponds to the highest level of constraint. For example, if a cell scored: 5, 7, 10, 10, 10, 1, 7, 5, 7; the lowest score is 1 and the level of constraint is set as “High”. If a cell is unviable, the overall score will be zero and the cell is unsuitable for development. The constraints are then mapped onto an output filter as detailed in Figure 21.
Data Limitations
The data used for the aviation data layer has been supplied from the CAA and NATS with manual additions from the Pooley’s Flight Guide 2008. Due to the nature of unlicensed aerodromes, the list is not comprehensive so a site that may appear to have no constraints on passing through the Tool may later have an unlicensed aerodrome identified as part of a feasibility study.
It must also be emphasised that safeguarding distances are used for guidance only; aerodromes outside of the safeguarding distance may still object to a development and those within the distance could accept a development. The Tool cannot be considered a substitute for early consultation with likely affected parties. This point is especially pertinent towards MOD aerodromes where the use of a site and the equipment it contains may greatly affect the safeguarding distance required between any proposed turbines and the air base. This information can only be determined upon consultation.
In addition, the use of particular civil a nd military aerodromes can fluctuate over time which can result in changes in how the CAA and MOD perceive the aerodrome in terms of safeguarding required.
13 Based on the safeguarding distances recommended in the aerodrome data sent through by the CAA, with some alterations based on research into activities at the air base.
59 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Aviation Constraints
.. Lightly Constrained
.. Constrained
Lightly Constrained
Most Suitable
Least Suitable
_ Forest Blocks
Figure 21: Raster output for aviation constraints. Please note, as Fe do not own any offshore land assets, even though safeguarding constraints for aviation extend offshore, these are not included in the raster.
60 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.2.4 Residential Properties
Data supplied from: Ordnance Survey Address Point
Residential properties around or within the forest blocks have been identified using Ordnance Survey Address Point data. The data supplied by the FC was for properties up to 1km from the forest blocks. We have applied a 500m boundary around each property, within which the land is unsuitable for development. 500m is an approximate threshold where noise emitted from a large 2 or 3 MW turbine (a Vestas V90 for example) has dropped to a level that is considered acceptable for dwellings. Guidelines suggest that for quiet daytime the noise limits at residential properties should be between 35 and 40 dB (A), or should be 5 dB (A) above the prevailing background, whichever is greater. During the night the recommended noise limit is 43dB (A) or 5dB (A) above background, whichever is greater.
A second boundary at 600m around each property has also been applied with a lesser constraint to highlight that residential properties are close by, but not close enough to halt a development. If any of these properties were owned by FC, then it could be possible to site turbines closer than 500m but in this Tool, we are assuming that all residential properties are unrelated to the FC.
The filter is depicted in Figure 22.
61 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Residential Constraints
Highly Constrained
• Most Suitable
Unsuitable
• Forest Blocks
Figure 22: Raster output for residential constraints. Please note that address data was only provided within a 1km buffer around a Forest Block.
62 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.2.5 Environmental Designations
Data supplied from the Forestry Commission
Attempting to site turbines in National Parks (NP) would result in objections from stakeholders and local residents who are concerned that the turbines will destroy the natural beauty and landscape value of the surrounding area. This filter highlights areas designated with NP as non-developable and places a 2km boundary around these areas in which the development would be highly constrained. Areas outside of these boundaries are assigned are relatively unconstrained.
The filter is depicted in Figure 23.
63 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for th7 Forestry Commission
Environmental Constraints
• Highly Constrained
Most Suitable
Unsuitable
• Forest Blocks
Figure 23: Raster output of environmental constraints (only! National Parks).
64 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates withinScotland A Report for the Forestry Commission
7.2.6 Ecological and Landscape Designations
Data supplied from the Forestry Commission and SNH
There are several other environmental designations apart from NP that can affect a turbine development. These are:
Site of Special Scientific Interest (SSSI) Special Protection Area (SPA) Special Area of Conservation (SAC) National Scenic Areas National Nature Reserves (NNR) Royal Society for the Protection of Birds Reserves (RSPB) Heritage Coast RAMSAR Sites (RAMSAR list of Wetlands of International Importance) Cultural Heritage Sites Scheduled Ancient Monuments (SAM) Registered Historic Battlefields Registered Parks and Gardens
Any turbine placed directly on one of these designated areas is unlikely to be granted consent; therefore, these areas are marked as unsuitable for development. A 2km boundary is placed around the designated area and marked with a constraint. It is not impossible to place a turbine within 2km of a Scheduled Ancient Monument or Special Area of Conservation but could be more difficult to get consent than if it was placed further away.
The designations marked for fauna and for birds in particular (e.g. RAMSAR sites and RSPB sites) could have more severe objections to turbines of close proximity but acceptable distances would need to be determined on a site-by -site basis. Therefore this Tool is used as a guide to highlight landscape and ecological designations but individual discussions would be needed with the bodies affected as to what is accepted as a suitable separation distance from the designation.
The filter is depicted in Figure 24.
65 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Ecology and landscape Constraints
Highly Constrained
Most Suitable
Unsuitable
• forest Blocks
Figure 24: Raster output of ecological and landscape constraints.
66 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.2.7 Electrical Network Connection
Data supplied from: Individual Distribution Network Operator (DNO) Companies
In order to be able to feed the electricity generated by the turbines into the electricity network, the turbines need to be close enough to a suitable connection to make it viable. The further away from a suitable connection the turbines are, the more expensive it is to enable the connection to take place. This cost can prevent the wind farm from being commercially attractive.
The electricity distribution network filter represents the location of distribution network lines of 132 KV and below for Scotland, these have been collated (the vast majority of which Atkins’ digitised) from information provided by the following Distribution Network Operator (DNO) Companies:
Distribution Company Region 22kV 33kV 66kV 132kV
SSE Power Distribution Scotland 9 9 Scottish Power Southern Scotland 9 9
Table 27: Data Supplied from the Individual Energy Distribution Companies
To accommodate the issue of increasing costs for connection with distance from the turbine, the filter has a series of buffers around the distribution network; the constraint increases the further a turbine is located from the distribution network. The four levels have corresponding levels of constraint:
Most Suitable - Master grid cell within 1km of Electrical Grid line Highly Constrained - Master grid cell between 1km and 5km of Electrical Grid line Constrained - Master grid cell between 5km and 10km of Electrical Grid line Unsuitable - Master grid cell > 10km from Electrical Grid line
The filter is depicted in Figure 25.
67 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Grrd Connection Constraints
• Highly Constrained
Constrained
Most Suitable
Unsuitable
• Forest Blocks
Figure 25: Raster output for electricity distribution network constraints.
68 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.3 Display
7.3.1 Existing Wind Farms
Data supplied from: British Wind Energy Association
The presence of existing wind farms in close proximity to a site presents a constraint that cannot be easily defined. The constraint is based on the cumulative effect of more than one wind farm on a specific area such as increased visual intrusion.
The existing wind farm layer (Figu re 26) is not applied as a constraint within the Tool, but is instead used to highlight wind farms near to (or within) forest blocks so as to inform the results analysis process.
69 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
British Wind Farms
• Consented
• Under Construction
• Operational
• Planned
Forest Blocks
Figure 26: Vector output showing the position of wind farms that have a status of 'existing', 'under construction', 'consented' and 'under planning'. This output is not part of the Tool; it is us ed for the post-rna delling review by wind consultants.
70 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
7.3.2 Filter Summary
The filters detailed above are summarised in the table below:
Filter Layers Threshold Value Potential Markings/ Constraint Filter limits Weighting Raster Filter Forestry 300 m by 300m cell Cells containing ≥50% FC land None – (Figure 15) Commission contains more than included in analysis defines the Boundaries 50% FC land areas to search Filter 1 Adjusted NOABL Wind speed to be > 5.8 Most Adjusted Wind Speed 15% Wind Speed m/s at 45m agl Suitable ≥ 5.8 m/s (at 45m agl) ( Figure 17) Unsuitable Adjusted Wind Speed < 5.8m/s (at 45m agl) Filter 2 Topography Slope < 17° and a Most Slope less than 17° 15% positive separation Suitable AND a positive distance separation distance (Figure 20) Unsuitable Slope more than 17° OR a negative separation distance Filter 3 Aviation Interest Most The grading is 14% Suitable determined by the highest level of (Figure 21) Lightly constraint identified Constrained for licensed and Constrained unlicensed aerodromes, MOD Highly facilities, MOD radar, Constrained NATS, and Met 14 Office Radar sites . Filter 4 Residential Residential properties ≥ Most Residential 14% Properties 500m away from Suitable Properties ≥ 600m of Master Grid Cell Grid Cell (Figure 22) Highly Residential Constrained Properties between 500-600m of Grid Cell Unsuitable Residential Properties < 500m of Grid Cell Filter 5 Environmental National Park Most AONB or NP ≥ 2km 14% Designations (NP) not in Forest Block Suitable from master Grid Cell (Figure 23) Highly AONB or NP < 2km Constrained from master Grid Cell Unsuitable AONB or NP in master Grid Cell Filter 6 Ecological and Ecological or landscape Most Ecological or 14% Landscape designation not in Suitable landscape Designations Forest Block designation ≥ 2km (Figure 24) from master Grid Cell Highly Ecological or Constrained landscape designation < 2km
14 This is defined thoroughly in the Quantification of Renewable Energy (Wind) Potential on Forestry Commission Estate Technical Report
71 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Filter Layers Threshold Value Potential Markings/ Constraint Filter limits Weighting from master Grid Cell Unsuitable Ecological or landscape designation in master Grid Cell Filter 7 Grid Connections Master grid cell within Most Master grid cell within 14% 10km of a grid line Suitable 1km of Electrical Grid line (Figure 25) Constrained Master grid cell between 1km and 5km of Electrical Grid line Highly Master grid cell Constrained between 5km and 10km of Electrical Grid line Unsuitable Master grid cell > 10km from Electrical Grid line Display Existing Wind None None – Projects (single provides turbines and wind information (Figure 26) farms) for review after modelling
Table 28: Summary of thresholds and constraint levels within the filters
72 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
8 Appendix C – Other Project Documents
The following documents have also been produced and supplied to the Forestry Commission separately
Functional Requirement Specification Data Specification User Guide
73 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
9 Appendix D – Developability
The table below shows a number of theoretical sites ordered by Atkins’ wind experts (Manual Site Order) as to their potential for development and the ‘developability' can be seen to reflect this order. The actual calculation in the Tool also incorporates an adjustment of each filter score by its filter’s weighting.
Average of viable master grid values from the filters:
SD of Develop Average Average ability = Total Total Average Master Master Master Manual Grid Grid Grid site Value Value value - Site order Avi Eco Env Grid Res Wind Topo (ATMGV) (ATMGV) 7*SD topmarks 1 10 10 10 10 10 10 10 10.0 0.00 10.0 neartopmarks7 2 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 0.00 8.5 eighter 3 8 8 8 8 8 8 8 8.0 0.00 8.0 neartopmarks4&3 4 7 7 7 10 10 10 10 8.7 0.23 7.1 3seven4nines 5 7 7 7 9 9 9 9 8.1 0.15 7.1 neartopmarks4&3 6 6 7 8 10 10 10 10 8.7 0.24 7.0 midmarks 7 6 6 6 6 6 6 6 6.0 0.00 6.0 topmarks6low1 8 1 10 10 10 10 10 10 8.7 0.49 5.3 fiver 10 5 5 5 5 5 5 5 5.0 0.00 5.0 midmarks5low2 11 3 4 6 6 6 6 6 5.3 0.18 4.0 midmarks6low1 12 1 6 6 6 6 6 6 5.3 0.27 3.4 midmarks4&3 13 3 3 3 7 7 7 7 5.3 0.31 3.1 midmarks4&234 14 2 3 4 7 7 7 7 5.3 0.32 3.1 topmarks5low2 15 1 1 10 10 10 10 10 7.4 0.63 3.0 topmarks4low3 16 1 1 1 10 10 10 10 6.1 0.69 1.3
Table 29: Developability matching the actual ordering of potential development of sites
74 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
10 Appendix E – Model Verification
Consultant validation of the Tool occurred whilst the Red/Amber/Green status was being applied at a forest block level (not just at master grid cell level). The testing highlighted the need for ‘developability’ to be assessed in more detail to give a ranking to forest blocks. The sites detailed below (and in Appendix I) therefore refer to the RAG status of the forest blocks, though this is no longer applicable as the Tool has since been improved. 10.1 Verification of 12 Sample Sites
12 non-FC grid references were supplied by our consultants representing 6 sites known to be potentially developable and 6 sites that are unlikely to be considered suitable for development. An input area of 1km2 was used in the model for each site. Only 5 of the 12 sites passed the filter for wind speed set at 5.8 m/s at 45m agl (above ground level). The inputted wind speeds were as follows:
Non-developable Sites (m/s at 45m agl): 5.9, 6.2, 6.7, 6.8, 7.1, 8 Developable Sites (m/s at 45m agl): 6, 6.2, 6.2, 6.4, 6.5, 7.7 Once the wind speed adjustment tool was applied, it was not surprising that so fe w sites passed the 5.8m/s threshold value and it shows how significant surface roughness can be on wind speed. The sites passing that threshold were the top three non-developable sites and the top two developable sites. All the other sites automatically defaulted to undevelopable status. This suggests that at a future stage, the FC may wish to lower the threshold to identify sites that may be viable with a slightly less commercial wind speed.
As so few sites passed the wind speed filter, to enable an assessment of the tool, the scores on the individual filters were assessed for each site against prior knowledge about the sites:
FID Avi Eco Env Grid Res Wind Topo Wind Aviation Grid Speed Site ID Filter Ecological Environment Connections Residential Filter Topography Number Score Filter Score Filter Score Filter Score Filter Score Score Filter Score
Since all the 12 inputted sites had the same area, it enabled a direct comparison between sites on the individual filter scores. If the sites had been different sizes, this would not have been possible as the filter score is a sum of the master cells which would have been different in quantity.
Site 0 Wind Threshold: Not Met RAG Status: Red FID Avi Eco Env Grid Res Wind Topo 0 0.56 0.14 1.4 1.4 1.4 0 1.5
The site does not meet the wind speed threshold but scores fairly high in all filters except the ecology and landscape filter. This accurately reflects the real site that is adjacent to drainage ditches known as a habitat for protected species. This site has been deemed potentially suitable for development subject to ecological issues and had the wind speed threshold been met, this site would have scored highly overall.
Site 1 Wind Threshold: Not Met RAG Status: Red FID Avi Eco Env Grid Res Wind Topo 1 0.14 0.14 1.4 0.7 0.77 0 1.5
75 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
The tool correctly identifies that the site is close to aviation interests, residential areas and sites of ecological importance. If the wind threshold had been met then this site would probably have been identified as potentially developable as further investigation into the three areas of concern have demonstrated that these factors are not critical constraints to wind development.
Site 2 Wind Threshold: Met RAG Status: Amber FID Avi Eco Env Grid Res Wind Topo 2 0.7 0.14 0.14 0.14 1.4 1.5 1.5
With the NOABL Adjustment, the wind speed has come out at 6m/s at 45m agl, which when scaled up to a hub height of 80m (typic al V80) would correspond to a wind speed of 6.5m/s. Even though the wind speed criterion has been met, it is possible to identify this site as very poor for development. The ecological, environmental and grid filters are all very low. The site is close to an estuary with heavy ecological designations upon it and is also next to a World Heritage Site. Those two factors combined with distance from a suitable grid connection make this site unviable, which is reflected in the filter scores.
Site 3 Wind Threshold: Met RAG Status: Amber FID Avi Eco Env Grid Res Wind Topo 3 0.7 0.14 1.4 0.7 1.4 1.5 1.5
This site scores relatively highly in all areas except for ecology. There is known to be local nature reserve nearby and a few Scheduled Ancient Monuments which explains the low score. The site is actually under development which is reflected by all the other high scores and the high wind speed.
Site 4 Wind Threshold: Not Met RAG Status: Red FID Avi Eco Env Grid Res Wind Topo 4 0.14 0.14 1.4 0.856 1.4 0 1.5
In addition to not passing the wind threshold, this site scores very poorly on aviation and ecology. This site is known to be in close proximity to a NATS radar which explains the very low score on that filter. It is therefore a non-developable site.
Site 5 Wind Threshold: Not Met RAG Status: Red FID Avi Eco Env Grid Res Wind Topo 5 0.7 1.4 1.4 1.4 1.4 0 1.5
This site scores very highly in every filter except wind speed as it doesn’t pass the threshold. If it had passed the threshold, the site may well have been assigned a high developability status which would reflect the fact that the site has been recently consented for the installation of turbines. The wind speed may have been too low for the FC but as stated at the beginning of this section, the FC may wish to reduce the wind threshold at some point to include areas similar to this test area that are commercially viable at lower wind speeds.
Site 6 Wind Threshold: Not Met RAG Status: Red FID Avi Eco Env Grid Res Wind Topo 6 0.14 0.14 1.4 0.7 1.4 0 1.5
In addition to not passing the wind threshold, this site scores very poorly on aviation and ecology. This site is known to be in close proximity to large licensed aerodrome which explains the very low score on that filter.
76 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
There are also som e Scheduled Ancient Monuments within 1km of the site which explains the low ecology score. It is therefore a non-developable site.
Site 7 Wind Threshold: Not Met RAG Status: Red FID Avi Eco Env Grid Res Wind Topo 7 0.7 0.14 1.4 1.283 1.4 0 1.5
The site scores very highly across all the filters except ecological and wind (as it does not pass the threshold). This site has gained planning permission for a wind farm and the only ecological designation in close proximity to the site is a registered park or garden. This is a fairly weak constraint that has caused the ecological filter to score poorly. However, if the wind had met the threshold, the site would certainly have a relatively high developability status due to the strength of the other filters.
Site 8 Wind Threshold: Met RAG Status: Amber FID Avi Eco Env Grid Res Wind Topo 8 0 0.28 1.4 0.778 1.4 1.5 1.5
This site is unviable from an aviation constraint perspective, and scores poorly in ecology and grid proximity. The aviation score is due to the proximity of a major licensed aerodrome and the ecological score is from a registered park or garden (a much weaker constraint compared to aviation). This site is in reality not developable.
Site 9 Wind Threshold: Not Met RAG Status: Red FID Avi Eco Env Grid Res Wind Topo 9 0 0.14 1.4 1.4 1.4 0 1.5
In addition to not passing the wind threshold, this site scores very poorly on ecology and is in fact unviable on aviation. This site is known to be in close proximity to large licensed aerodrome which explains the very low score on that filter. There are also ecological designations on the nearby estuary which reflects the low ecological score. It is therefore a non-developable site.
Site 10 Wind Threshold: Met RAG Status: Amber FID Avi Eco Env Grid Res Wind Topo 10 0.14 0.14 1.4 0.14 1.4 1.5 1.5
This site passes the wind threshold and scores very highly in wind, topography, residential and environmental. It scores fairly low in aviation, reflecting MOD interests in the vicinity and scores poorly in ecology (again this is for a registered park or garden which is a softer constraint). The low score on the grid may make the site less commercially viable yet a planning decision has been sought on this land. Potentially the commercial attractiveness of the wind strength overcomes the additional cost needed for grid connection.
Site 11 Wind Threshold: Met RAG Status: Amber FID Avi Eco Env Grid Res Wind Topo 11 0.7 0.14 1.4 1.225 1.4 1.5 1.5
The site scores fairly highly in all filters except ecology. The low ecological score is due to the many Scheduled Ancient Monuments surrounding the site. It is known that this site has not been chosen for development for that reason but also because it is in close proximity to a telecommunications facility which in
77 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission this instance is a significant constraint which unfortunately cannot be applied in a filter.This does highlight that some sites may potentially appear attractive for development but be subject to high constraints that are not part of the model.
78 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission
Overall
The filters are produ cing scores that seem sensible based upon prior knowledge of the site . The low wind speeds of many of the 12 sites selected for the exercise has resulted in some sites being rejected by the Tool that have been designated as developable by other developers. 10.2 Verifying 30 Sites from the Tool Output
After a second run of the Tool, 30 forest block sites were selected (10 Green, 10 Amber, and 10 Red) for a fuller assessment of the Tool output.
The following sites were selected:
RAG Status Selection Criteria Green 5 highest energy yields 1 lowest energy yield 4 sites distributed between highest and lowest to give a distribution of forest districts and turbine numbers Amber 2 highest energy yields 2 lowest energy yields 6 sites distributed between highest and lowest to give a distribution of forest districts and turbine numbers Red – sites that 1 highest energy yield pass all the filter 1 lowest energy yield thresholds 3 sites distributed between highest and lowest to give a distribution of forest districts and turbine numbers Red – non- 5 sites distributed across the forest districts viable sites that contain a 0 in a filter
Following the review it was judge d that the tool had performed well and that the majority of the results were as expected. However, the scores given on a number of the sites for topography were thought to be possibly too high and that the corresponding number of turbines was unrealistically high. For these sites the topography was steeper than would have been expected and could potentially rule out these locations.
Since the number of turbines seemed unrealistic in some cases, the estimated capacity predicted by the tool exceeded that which was thought possible at the reviewed locations. Often the topography was the main limiting factor with addition al detail such as rivers, roads and paths (i.e. localised constraints) that are not taken into account by the tool further reducing the potential for turbine placement.
A selection of the completed check-sheets for each site can be found in Appendix F. Subsequent refinement of the Tool has been performed to eliminate some of the deficiencies noted above and to raise the importance of constraints around the aviation interests. As a result, the sites detailed in Appendix F may have a marginally different rank or scoring than they do from the Tool in its present state.
79 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 11 Appendix F - A Selection of Completed Manual Site Assessment Forms
Atkins Site Reference Number 90
Site Name: Clauchne
Grid Reference Estimate: 292165, 589208
Raster Filter Reviewer Comment Agree/Disagree with tool I Score I Aviation 26.6 No major aviation interests noted dose Agree I by hence the high score I Ecology 26.6 No National Par1 I Environmental 26.6 No ecological or landscape designations Agree Scotland - http://www.snh org.ukl Electricity 13.3 Residential 22.8 OS Map search and check aerial photograph resources (Live Search, MultiMap, A few individual properties located to the Agree and Google Earth). north of the site which is reflected in the score Topography 28.5 OS Map Search Land is hilly but site topography seems Agree suitable Vllind Speed 6.6m1s http://www.berr.gov.uklenerg~/sourceslrenewabiesle)(plainedlwindlwinds!;!eed· NOABL lists as 7.6m/s so allowing for Agree database/page27326.html roughness adjustment, 6.6m1slooks fair Please be aware that the wind speed has been adjusted to accommodate the forest coverage so is likely to be different than the estimated NOABL value TOTAL SCORE 172.9 RAG Status GREEN Estimated Reviewer Comment Is the predicted capacity Capacity (MW) realistic YIN 27MW There is a 15 )( 2MW wind farm under construction in Dalswinton. approximately 4km SSW.This could cause issues when it comes to cumulative impact 9 )(V90 turbines could fit on the site. This is a large figure for a relatively small Fe therefore potentially only about miaht be possible. Summary: The filters highlight that the forest block IS very promiSing from wind development. The pro)(imity of a nearby wind farm however may mean that this is now unviable. ReVIewer. J Hayduk Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission Atkins Site Reference Number 483 Site Name Glenkir'K Gnd Reference Estimate: 284348, 832868 Raster Filter Reviewer Comment Agree/Disagree with tool Score Aviation 165.2 No major aviation interests noted close Agree by hence the high filter score Ecology 126.1 No designations near Agree Scotland - httJ2:1Iwww.snh.org.ukl Environmental 165.2 None near Agree Scotland - httQ:lIwww.snh.org.ukl Electricity 41.2 Residential 163.2 OS Map search and check aerial photograph resources (live Search, MultiMap. Scattered residences around southern Agree and Google Earth). and western boundaries Topography 177 OS Map Search 310-468m height variations - site looks Disagree quite undulating Wind Speed 7.8898 httQ:IIwww.berr.gov.uklenerg:t/sou rces/renewables/exJ2lainedlwin dlwindslleed- 7.6 NOABl. the roughness adjustment Agree databaseJpage27326.html has increased the wind speed slightly Please be aware that the wind speed has been adjusted to accommodate the forest coverage so is likely to be different than the estimated NOABL value TOTAL Master 1015.6 RAG status > Amber Grid SCORE Estimated 265 turbines is rather excessive Capacity (MW) Insert 265·900=238500 kW predicted capacity Summary: I agree with The Tool that the deSignations look reasonable. however the number of turbines predicted on site looks excessive FARR Wind farm is close by which could produce planning constraints. Reviewer' James Mackellar Quantification 01 RenewableEnergy(Wind) Potentialon the ForestryCommissionEstateswithin Scolland A Reportfor the FOfestryCommission Atkins Site Reference Number: 6 Site Name: Drumtochty Forest Gnd Reference Estimate: 370340, 783615 Raster Filter Reviewer Comment AgreelOlsagree with tool Score Aviation 241.9 8km from Fordoun unlicensed aerodrome Ecology 340.2 Drumtochty Castle sits within/adjacent to Agree Scotland - http://www.snh.org.uk/ the forest block. Views from and to the Castle may be an important consideration. Otherwise relatively unconstrained Environmental 340.2 The site may be situated within a local Agree Scotland - http://www.snh.org.ukl landscape designation. Electricity 157.8 Residential 332.6 OS Map search and check aerial photograph resources (Live Search, MultiMap. Relatively unpopulated Agree and Google Earth). Topography 364.5 OS Map Search Steep slopes and valleys Disagree subject to comments Wind Speed 6.9547 Windspeed Database 7.8 Parts of the site may be affected by Agree, subject to comments topography. NOABL ws 7.3m/s TOTAL 2141.7 RAG Status G SCORE Estimated Reviewer Comment 548 turbines in completely unrealistic. There would appear to be one other wind fann already consented within Is the predicted capacity Capacity this forest area with a further operational and consented wind fann to the south west As a result of localised constraints, topography, reallstJc N (MW) impact upon local landscape designation and cumulative impact one would expect the capacity to be reduced by 95%+ Insert As a result of localised constraints and topography one would expect the capacity to be reduced by 95%+ predicted capacity Summary: The positive scoring In respect of this site would appear to be fair (with the possible exception of topography); however, for the above reasons the estimated capacity is considered to be grossly ambitious. The site may be situated within a local landscape designation. Drumlochty Castle sits within/adjacent to the forest block. Views from and 10 the Castle may be an important consideration. ReViewer: Jim Handy Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission Atkins Site Reference Number 513 Site Name: Strathgarve and Corriemoillie Gnd Reference Estimate: 238624, 863168 I Raster Filter Reviewer Comment AgreelOisagree with tool i Score I Avlation 7 No major aviatlon interests noted close Agree i by hence the high filter score il Ecology 7 No designations noted within 2km Agree though would expect , Scotland - tlttp:/lwww.snh.org.ukl this filter score to be higher Environmental 7 There is a SSSI just on the border of the Agree Scotland - h.ttR:/Iwww.snh.org.ukl 2km buffer Electricity 4.2 I Residential 7 OS Map search and check aerial photograph resources (Live Search, MultiMap, Several Residential Properties noted Agree ' and Google Earth). around the border of the FB ' Topography 7.5 OS Map Search FB is in the valley of a very hilly area Agree Wind Speed 6.4 m/s http://www.berr.goll.uklenergy/sources/renewables/explainedtwindlwindsoeed- NOABL for the centroid is 4.8 but Agree database/page27326.html increases as high as 6.3 in the Please be aware that the wind speed has been adjusted to accommodate the surrounding km square blocks. The forest cove rage so is likely to be different than the estimated NOABL value forest adjustment can increase the wind speed by up to 25% so the wind speed across the block is fair TOTAL Master 47.2 RAG Status RED Grid SCORE Estimated Reviewer Comment Isthe predicted capacity Capacity realistic YIN (MW) 6MW 2 x 3MW turbines however, with poor grid connection, the commerciality of the development is questionable If no, insert new estimated capacity Fairburn Estate (20 x 2MW turbines) and Novar Extension (50 x 2MW) turbines are the closest in proximity but not within range to be much of a cumutauve impact Summary: The filter score of 7 for a large block is not a strong score. The culmination of these scores and especially the low score of Grid means that this site is lIery poor for development and hence gillen a Red status. Relliewer: J Hayduk Quan1ification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report fOl' the FOI'estry Commission Atkins Site Reference Number. 297 Site Name: Ki~ton/Monachyle Gnd Reference Estimate: 249986. 722262 Raster Filter Reviewer Comment Agree/Disagree with I Score Aviation 200.2 No major aviation interests noted close by hence the high score Ecology 91.8 SSSI and SAC in dose proximity to the Agree Scotland - htt(1:IIww.v.snh org.uk! site Environmental 0 Adjacent to National Park and within Agree Scotland - httg:/lww.v.snh.org.uk! National Scenic Area Electricity 63.1 Residential 175.6 OS Map search and check aerial photograph resources (Live Search, MultiMap, Sparsely populated and separation Agree and Google Earth). distances could be achieved Topography 43.5 OS Map Search Steeply sloping, hilly terrain Agree \Mnd Speed 0 NOABL for centre of block gives a wind speed of 8.6 before adjustment but the NOABL wind speed drops to 6km in neighbouring areas. The wind speed may well meet the threshold but as the block as scored unviable in the Environmental filter, the wind speed is not aiven. TOTAL 0 RAG Status R SCORE Estimated Reviewer Comment: Agree with zero estimate Is the predicted Capacity capacity reaUstlc Y (MW) Insert predicted capacity ------Summary: Given the landscape constraints identified. this site should not be actively pursued. The Tool has designated this site as unvlable due to the proximity to the National Pa~ and National Scenic Area. Reviewer. jim Handy Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland AReport for the Forestry Commission ------======-- 12 Appendix G - Full Results Table The following listing is for all Scottish forest blocks ondered by FOREST and then BLK. .-- 'I -2 3 - --- .- '·~-~=F'-' - 8 --.~1O'OO'"------., •••• ttl ;~.'k4 ... ~, _" _.".~ It .1 , ./ Jr:. i . ,.' W!c ...... ' ... ' .' lii :z 9t; W ~i W ~i >:! ~ .:ei'J _'r:.,,'. ; . . .,'" '~ l, '.' ~ ~ s ~ ~ i i ~~ i;': ..l f'· ,'.) >'.1 !, j 1 ! ! II .. - ' 154 317 SIOCl 970 SOl Achacheno I 1179 739827.1 9882.613 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 1.23 0.77 1.SO 0.00 971 SOl Collatg 2 1180 9073099 33069.15 0.00 0 0 0 0 0.0 0,00 0 0 1.40 0.91 1.40 0.89 1.40 1.SO 0.00 974 SOl InveriOn 3 1189 23517276 44696.65 9.00 V903.0MW 14 79494 42 6.1 6.26 3240000 36 lAO 1.40 1.40 0040 1.40 1.50 1.SO 977 SOl LocMAvlcM 4 1183 20481409 36847.05 9.14 V903,OMW 53 299148 159 6.1 6.98 12240000 136 1.40 1.40 1.40 0.62 1.33 1.50 1.50 1237 501 Iny.'h8yel 5 1208 51847327 48674.58 8.75 V903.0 MW 58 349850 174 6.3 5.71 13500000 150 1.26 1.40 lAO 0.28 1.40 1.50 1.SO 961 SOl Salachry 7 1184 2073352 9345.036 8.53 V903.0MW 2 15237 6 7.0 5.12 540000 6 1.40 1.40 lAO 0.14 1.19 I.SO. I.SO Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 964 501 Ormaig 8 1187 7381273 16603.27 8.33 V90 3.0 MW 16 120282 48 7.0 4.87 3870000 43 0.99 1.40 1.40 0.14 1.40 1.50 1.50 965 501 Ardchonnel 9 1188 5244087 20966.15 9.30 V80 2.0 MW 9 42932 18 6.4 7.33 1800000 20 1.40 1.40 1.40 0.70 1.40 1.50 1.50 967 501 Eredine 10 1191 43350945 42110.47 9.01 V90 3.0 MW 78 568988 234 6.9 6.97 18090000 201 1.12 1.40 1.40 0.69 1.40 1.50 1.50 968 501 Three Bridges 12 1192 8778537 17364.65 9.30 V80 2.0 MW 8 45598 16 7.0 7.33 1530000 17 1.40 1.40 1.40 0.70 1.40 1.50 1.50 1213 501 Glen Shira 13 1205 28374630 52431.04 9.85 V90 3.0 MW 23 146436 69 6.4 9.34 5490000 61 1.40 1.34 1.40 1.31 1.40 1.50 1.50 975 501 Brenchoillie 14 1193 48382907 53786.1 9.01 V90 3.0 MW 119 786677 357 6.5 7.25 27450000 305 1.25 1.17 1.40 0.79 1.40 1.50 1.50 969 501 Mi0rd Castle 16 1178 1691248 9509.138 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 1.40 0.14 1.50 0.00 962 501 Ardcastle 17 1185 3261364 9992.35 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 1.01 1.30 1.50 0.00 1236 501 Kilmichael 18 1207 77116600 133192 8.83 V90 3.0 MW 82 473676 246 6.2 6.67 18990000 211 1.05 1.36 1.40 0.65 1.36 1.50 1.50 963 501 Kilmoray 21 1186 5958085 19005.77 9.66 V90 3.0 MW 14 81047 42 6.2 8.92 3330000 37 1.26 1.40 1.40 1.36 1.23 1.50 1.50 976 501 K0pdale 22 1194 57338690 120685 7.72 V90 3.0 MW 99 705781 297 6.8 4.30 22770000 253 0.99 0.19 1.40 0.77 1.37 1.50 1.50 1197 501 Inverneil 25 1198 8182921 16648.13 7.91 V90 3.0 MW 21 148363 63 6.7 4.89 4950000 55 0.98 0.43 1.40 0.70 1.40 1.50 1.50 1221 501 Torinturk 26 1206 15047831 24160.74 8.29 V90 3.0 MW 14 97841 42 6.7 5.39 3420000 38 0.98 1.17 1.40 0.35 1.40 1.50 1.50 1238 501 Meall Mhor 27 1209 11004191 22898.1 8.22 V80 2.0 MW 9 40242 18 6.2 5.71 1710000 19 0.98 0.74 1.40 0.70 1.40 1.50 1.50 972 501 Coulaghailtro 28 1181 16410585 19652.43 7.62 V90 3.0 MW 66 502807 198 7.0 4.09 15210000 169 0.99 0.75 1.40 0.14 1.34 1.50 1.50 973 501 Corranbuie 29 1182 16046471 23095.06 8.20 V90 3.0 MW 33 230050 99 6.7 5.46 7560000 84 1.13 0.52 1.40 0.76 1.40 1.50 1.50 1195 501 Skipness 30 1196 13011115 22082.26 8.00 V90 3.0 MW 32 255416 96 7.2 5.19 7470000 83 0.98 0.55 1.40 0.69 1.39 1.50 1.50 1199 501 West Carradale 32 1200 11241775 16955.06 8.83 V90 3.0 MW 49 390051 147 7.2 6.12 11340000 126 1.22 1.40 1.40 0.41 1.40 1.50 1.50 1196 501 Grogport 33 1197 13627392 26973.68 9.26 V90 3.0 MW 23 129953 69 6.1 7.36 5490000 61 1.40 1.34 1.40 0.72 1.40 1.50 1.50 1198 501 Deucheran 34 1199 33571317 45051.99 9.04 V90 3.0 MW 66 445002 198 6.6 7.19 15210000 169 1.14 1.34 1.40 0.76 1.40 1.50 1.50 1194 501 Deer Hill 35 1195 8517973 24360.36 0.00 0 0 0 0 0.0 0.00 0 0 1.37 1.40 1.40 1.20 1.25 1.50 0.00 966 501 Guesdale 36 1190 7085739 19025 8.13 V90 3.0 MW 12 89053 36 6.9 4.53 2970000 33 0.14 1.40 1.40 0.79 1.40 1.50 1.50 1212 501 East Lussa 37 1204 48086441 52983.44 7.75 V90 3.0 MW 108 877439 324 7.2 4.19 24840000 276 0.14 1.08 1.40 0.73 1.40 1.50 1.50 1207 501 West Lussa 39 1203 24820139 35669.34 7.07 V90 3.0 MW 56 384601 168 6.7 3.09 13050000 145 0.14 0.60 1.40 0.53 1.40 1.50 1.50 1200 501 Beinn Ghuilean 40 1201 1439996 5323.285 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.40 1.40 0.70 1.31 1.50 1.50 1206 501 Dalbuie 41 1202 19120137 31203.21 6.80 V90 3.0 MW 32 284379 96 7.6 2.46 7380000 82 0.14 0.77 1.40 0.14 1.35 1.50 1.50 645 503 Tiroran 1 560 7920866 25367.29 8.44 V90 3.0 MW 20 190300 60 7.9 5.08 4770000 53 1.33 0.14 1.40 1.22 1.35 1.50 1.50 669 503 Ardura 2 569 2006626 18984.18 7.48 V90 3.0 MW 3 18764 9 6.4 3.03 720000 8 1.40 0.14 1.40 0.14 1.40 1.50 1.50 668 503 Lochdon 3 568 2177099 6792.268 7.90 V90 3.0 MW 1 5436 3 6.0 4.44 360000 4 1.40 0.14 1.40 0.88 1.09 1.50 1.50 685 503 Garmony 5 567 14024355 52736.95 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.14 1.40 1.27 1.21 1.50 0.00 634 503 Glen Forsa 6 589 10125813 35813.24 8.07 V90 3.0 MW 12 102172 36 7.4 4.66 2790000 31 1.40 0.59 1.40 0.32 1.36 1.50 1.50 639 503 Salen 7 558 6559676 14121.84 7.55 V80 2.0 MW 5 22010 10 6.2 3.92 1080000 12 0.91 0.14 1.40 0.70 1.40 1.50 1.50 537 503 Crannich 8 550 12272839 24431.37 8.68 V90 3.0 MW 17 93267 51 6.0 6.69 3960000 44 1.11 1.00 1.40 0.76 1.40 1.50 1.50 635 503 Aintuim 9 590 9811654 32623.91 9.06 V90 3.0 MW 20 130132 60 6.5 7.73 4590000 51 1.10 1.23 1.40 1.02 1.33 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 8 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 632 503 Lettermore 10 554 19429550 39738.92 9.07 V90 3.0 MW 54 390143 162 6.8 7.49 12420000 138 1.09 1.32 1.40 0.89 1.36 1.50 1.50 813 503 Aros 11 581 12310389 20744.41 8.44 V90 3.0 MW 14 83725 42 6.3 6.19 3240000 36 1.02 0.95 1.40 0.68 1.40 1.50 1.50 517 503 Aros Park 12 586 2916568 31225.23 0.00 0 0 0 0 0.0 0.00 0 0 1.28 0.56 1.40 0.14 1.29 1.50 0.00 631 503 Ardmore 13 553 11214809 27921.5 7.12 V90 3.0 MW 14 101592 42 6.8 3.19 3240000 36 0.98 0.14 1.40 0.34 1.26 1.50 1.50 518 503 Quinish 14 587 6779899 16800.49 7.58 V90 3.0 MW 23 145612 69 6.4 4.00 5490000 61 0.98 0.14 1.40 0.70 1.36 1.50 1.50 515 503 Northwest Mull 15 551 6937161 41574.89 9.31 V80 2.0 MW 6 24834 12 6.0 8.19 1170000 13 1.37 1.30 1.40 1.13 1.11 1.50 1.50 516 503 Barcaldine East 20 552 12515974 35796.88 9.84 V90 3.0 MW 3 16309 9 6.0 9.24 720000 8 1.40 1.24 1.40 1.40 1.40 1.50 1.50 638 503 Barcaldine West 21 557 13823579 49951.45 9.15 V80 2.0 MW 9 37251 18 6.0 7.59 1710000 19 1.40 1.14 1.40 0.88 1.33 1.50 1.50 637 503 Glen Creran 22 556 26708747 42571.09 8.36 V90 3.0 MW 16 111372 48 6.7 4.94 3870000 43 1.36 1.06 1.40 0.14 1.40 1.50 1.50 759 503 Cadderlie 23 573 15768234 28991.94 7.48 V80 2.0 MW 4 18661 8 6.3 3.03 810000 9 1.40 0.14 1.40 0.14 1.40 1.50 1.50 760 503 Fearnoch 30 574 12892471 27894.67 8.81 V90 3.0 MW 11 75547 33 6.7 6.22 2610000 29 1.40 0.44 1.40 1.26 1.31 1.50 1.50 852 503 Inverawe 31 583 4201252 12568.77 7.92 V80 2.0 MW 7 43390 14 7.3 4.35 1350000 15 1.40 0.14 1.40 0.75 1.23 1.50 1.50 686 503 Glen 0nt 32 571 3317272 10307.89 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.00 1.40 1.12 1.40 1.50 0.00 519 503 Balinoe 33 588 14659761 29632.1 8.90 V90 3.0 MW 9 48928 27 6.0 6.91 2250000 25 1.40 1.00 1.40 0.76 1.35 1.50 1.50 647 503 Duror 40 563 17619214 28061.69 8.39 V90 3.0 MW 12 78337 36 6.5 4.99 2880000 32 1.40 1.09 1.40 0.14 1.36 1.50 1.50 644 503 Appin 41 559 6333115 24280.02 8.27 V90 3.0 MW 1 5436 3 6.0 4.78 270000 3 1.40 0.93 1.40 0.14 1.40 1.50 1.50 853 503 Gle0chulish 42 584 11209966 32878.74 8.04 E44 900kW 3 4078 2.7 6.0 4.36 180000 2 1.40 0.70 1.40 0.14 1.40 1.50 1.50 648 503 Glencoe 43 564 1368943 5475.614 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.35 0.90 1.50 0.00 812 503 Brecklet 44 580 5437549 12917.91 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.33 1.50 0.00 646 503 Bealach 45 561 18731999 28369.57 7.35 V90 3.0 MW 7 58848 21 7.4 3.10 1710000 19 1.20 0.21 1.40 0.14 1.40 1.50 1.50 854 503 Glen Orchy 50 585 37783309 55153.43 8.08 V90 3.0 MW 1 5436 3 6.0 4.64 360000 4 1.40 0.46 1.40 0.42 1.40 1.50 1.50 809 503 Glen Lochy North 51 577 10816372 26135.74 7.75 V90 3.0 MW 10 61068 30 6.3 4.98 2340000 26 1.40 0.92 0.53 0.70 1.21 1.50 1.50 810 503 Tyndrum 52 578 1473818 9872.929 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 1.18 1.17 1.50 1.50 811 503 Auch 53 579 5820703 24770.44 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.71 1.18 1.17 1.31 1.50 0.00 687 503 Ki0chreachan 54 572 4539048 18942.08 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 1.37 1.27 1.50 0.00 725 503 Succoth 55 570 24901788 92713.81 8.05 V90 3.0 MW 8 48244 24 6.3 4.78 1980000 22 1.40 0.20 1.00 1.05 1.40 1.50 1.50 814 503 Glen Lochy South 56 582 17641706 43894.44 6.74 V90 3.0 MW 9 61219 27 6.6 2.68 2160000 24 1.35 0.35 0.14 0.61 1.30 1.50 1.50 762 503 Benmore 57 576 6539163 12932.26 0.00 0 0 0 0 0.0 0.00 0 0 1.38 0.14 0.00 1.00 1.40 1.50 1.50 761 503 Inverardan 58 575 7250594 19220.71 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 1.07 1.35 1.50 1.50 667 503 Ewich 59 566 6501738 22191.93 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.23 0.00 0.89 1.30 1.50 0.00 666 503 Barr 70 565 17054125 25532.22 0.00 0 0 0 0 0.0 0.00 0 0 1.28 0.36 1.40 0.15 1.40 1.50 1.50 633 503 Lochaline North 71 555 12100025 19027.84 0.00 0 0 0 0 0.0 0.00 0 0 1.28 0.64 1.40 0.76 1.34 1.50 1.50 656 503 Lochaline South 72 562 37244193 60603.76 8.18 V90 3.0 MW 93 705932 279 7.0 5.40 21420000 238 1.05 0.91 1.40 0.43 1.39 1.50 1.50 941 504 Errochty 2 1164 32040211 38323.24 8.58 V90 3.0 MW 9 51279 27 6.1 5.19 2250000 25 1.40 0.14 1.40 1.29 1.35 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 8 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 942 504 Allean 3 1165 8629514 21911.96 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.12 1.29 1.50 0.00 943 504 Ky0chan 4 1166 818882.3 5203.799 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.40 0.77 1.50 0.00 936 504 Frenich 5 1158 3051162 11098.72 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.24 1.35 1.50 0.00 937 504 Dom0heiche 6 1159 15237556 21554.54 8.36 V90 3.0 MW 14 102657 42 6.9 5.46 3420000 38 1.36 0.42 1.40 0.81 1.37 1.50 1.50 938 504 Foss/Tombreck 7 1160 4662122 19584.88 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.64 1.40 1.37 1.40 1.50 0.00 954 504 Faskally I & II 8 1172 3648169 18924.7 8.57 V90 3.0 MW 3 16309 9 6.0 5.16 720000 8 1.40 0.14 1.40 1.23 1.40 1.50 1.50 955 504 Fo0b 9 1173 8071478 19916.42 9.18 V90 3.0 MW 2 10873 6 6.0 7.23 540000 6 1.40 1.28 1.40 0.70 1.40 1.50 1.50 956 504 Boreland 10 1174 3416748 11338.36 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.40 1.20 1.50 0.00 957 504 Kepranich 11 1175 4530514 12891.02 8.22 V80 2.0 MW 5 28499 10 7.0 5.01 1080000 12 1.37 0.35 1.40 0.70 1.40 1.50 1.50 945 504 Drummond Hill 12 1168 10274321 18816.19 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.00 1.16 1.50 0.00 951 504 Dull/Camserney 13 1169 5247378 11020.31 9.02 V80 2.0 MW 4 16556 8 6.0 6.32 810000 9 1.40 0.42 1.40 1.40 1.40 1.50 1.50 952 504 Weem/Glassie 14 1170 9991384 22182.34 8.97 V80 2.0 MW 9 43973 18 6.5 6.91 1710000 19 1.40 1.07 1.40 0.70 1.40 1.50 1.50 958 504 South Rannoch 16 1176 35356764 47903.2 7.78 V80 2.0 MW 6 29924 12 6.5 3.80 1170000 13 1.40 0.14 1.40 0.44 1.40 1.50 1.50 919 504 Barracks/Invercomrie 17 1144 45269069 49123.98 8.38 V90 3.0 MW 29 157658 87 6.0 5.44 6750000 75 1.40 0.50 1.40 0.69 1.40 1.50 1.50 953 504 Lassintulloch 18 1171 2194137 8267.422 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.33 1.50 1.50 926 504 Talladh-a-Bheithe 19 1150 13903421 27950.38 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.11 1.31 1.50 0.00 927 504 Camusericht 20 1151 5946323 18001.11 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.32 1.40 0.96 1.40 1.50 0.00 921 504 Rannoch Lodge 21 1146 2602254 9511.622 8.74 V80 2.0 MW 4 16556 8 6.0 5.30 900000 10 1.40 0.14 1.40 1.40 1.40 1.50 1.50 960 504 Craigvinean 22 1161 19353926 49148.48 8.39 V90 3.0 MW 3 17124 9 6.1 4.95 720000 8 1.40 1.05 1.40 0.14 1.40 1.50 1.50 923 504 Grandtully 23 1147 6324644 17697.55 9.30 V90 3.0 MW 2 10873 6 6.0 7.33 540000 6 1.40 1.40 1.40 0.70 1.40 1.50 1.50 924 504 Five Mile Wood 24 1148 1345905 7688.141 7.39 V90 3.0 MW 3 16309 9 6.0 4.16 720000 8 0.98 0.30 1.40 0.63 1.09 1.50 1.50 925 504 Taymount 25 1149 1565234 13784.77 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.70 0.14 1.50 0.00 920 504 Keillour 26 1145 4452244 18526.9 8.46 V90 3.0 MW 12 65238 36 6.0 5.92 2790000 31 1.40 0.51 1.40 0.99 1.16 1.50 1.50 917 504 Murrays Hill 27 1142 979626.8 4887.434 9.30 V90 3.0 MW 1 5436 3 6.0 7.33 270000 3 1.40 1.40 1.40 0.70 1.40 1.50 1.50 939 504 Deuchny Wood 28 1162 2292146 14592.31 6.36 V80 2.0 MW 4 22799 8 7.0 2.15 810000 9 0.14 0.14 1.40 0.70 0.98 1.50 1.50 940 504 Paddockmuir 29 1163 301458.6 3922.371 0.00 0 0 0 0 0.0 0.00 0 0 0.70 0.14 1.40 0.93 1.40 1.50 0.00 934 504 Hallyburton 30 1156 3882482 21057.85 7.12 V90 3.0 MW 13 113273 39 7.5 2.84 3150000 35 0.14 0.14 1.40 1.18 1.26 1.50 1.50 935 504 Dronley Wood 32 1157 507408.8 3133.754 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.40 1.40 1.40 0.56 1.50 1.50 932 504 Montreathmont 33 1154 9967845 42398.09 9.21 V90 3.0 MW 22 123013 66 6.1 7.62 5040000 56 1.40 1.38 1.40 0.88 1.15 1.50 1.50 933 504 Glen Isla 35 1155 16226038 26803.17 8.49 V80 2.0 MW 4 16556 8 6.0 5.08 900000 10 1.15 1.40 1.40 0.14 1.40 1.50 1.50 930 504 Glen Markie 36 1152 4417686 14432.94 8.25 V80 2.0 MW 5 20695 10 6.0 4.84 1080000 12 1.02 1.40 1.40 0.14 1.30 1.50 1.50 931 504 Glen Head 37 1153 3360537 11082.3 8.74 V90 3.0 MW 5 38920 15 7.1 5.30 1170000 13 1.40 1.40 1.40 0.14 1.40 1.50 1.50 918 504 Glen Prosen 38 1143 8772070 23076.97 0.00 0 0 0 0 0.0 0.00 0 0 1.35 0.61 0.00 0.00 1.40 1.50 1.50 915 504 Glen Doll 39 1140 7029121 18718.57 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.00 1.36 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 944 504 Blackcraig 40 1167 8745984 20862.99 0.00 0 0 0 0 0.0 0.00 0 0 1.14 0.14 1. 40 0.59 1.23 1.50 0.00 916 504 Kindrogan 41 1141 11365484 20903.35 7.12 V90 3.0 MW 8 43492 24 6.0 2.79 1980000 22 1.04 0.14 1.40 0.14 1.40 1.50 1.50 908 504 Easter Bleaton 42 1133 1818463 5768.265 8.01 V90 3.0 MW 3 18764 9 6.4 4.60 720000 8 0.98 0.14 1.40 1.40 1.09 1.50 1.50 909 504 Dalrulzion 43 1134 3681063 8568.187 0.00 0 0 0 0 0.0 0.00 0 0 1.16 0.27 1.40 0.77 1.32 1.50 0.00 910 504 Kynballoch 46 1135 1283207 5663.845 8.32 V90 3.0 MW 1 6163 3 6.3 4.85 270000 3 0.98 0.14 1.40 1.40 1.40 1.50 1.50 911 504 Smyr0 47 1136 629299.3 3510.329 9.08 V80 2.0 MW 2 11399 4 7.0 7.33 450000 5 0.98 1.40 1.40 1.40 0.90 1.50 1.50 912 504 Craighead 48 1137 4697071 8572.471 7.62 V90 3.0 MW 13 102242 39 7.1 4.01 3150000 35 0.98 0.14 1.40 0.70 1.40 1.50 1.50 913 504 Laggan 50 1138 617982.1 6302.355 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.40 1.50 0.00 914 504 Glen Devon 54 1139 7233868 21126.36 8.37 V90 3.0 MW 25 188798 75 7.0 5.93 5850000 65 0.99 1.15 1.40 0.53 1.30 1.50 1.50 904 504 Glen Sherup 55 1131 4598631 14018.34 8.07 V90 3.0 MW 9 73969 27 7.3 5.49 2250000 25 1.05 0.69 1.40 0.63 1.30 1.50 1.50 907 504 Ladybank 56 1132 2813527 23699.34 0.00 0 0 0 0 0.0 0.00 0 0 0.70 1.08 1.40 0.66 0.50 1.50 0.00 922 504 Pitmedden/Weddersby 58 1130 6705303 37755.11 7.55 V90 3.0 MW 14 101592 42 6.8 4.05 3240000 36 0.70 0.14 1.40 1.23 1.09 1.50 1.50 903 504 Tentsmuir 59 1129 15690571 34687.84 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.14 1.40 0.69 1.33 1.50 1.50 650 511 Culbin 1 595 31322037 65761.9 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.17 1.40 0.81 1.33 1.50 0.00 642 511 Newtyle 2 593 7167487 26135.66 8.74 V80 2.0 MW 6 24834 12 6.0 5.30 1260000 14 0.14 1.40 1.40 1.40 1.40 1.50 1.50 649 511 Mo0ughty 3 594 14703515 30809.3 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.38 1.40 0.70 1.31 1.50 1.50 641 511 Dallas 4 592 6403590 31937.89 8.19 V90 3.0 MW 16 100601 48 6.4 4.89 3690000 41 0.15 1.22 1.40 1.11 1.31 1.50 1.50 659 511 Roseisle 5 602 7328002 34652.12 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.28 1.40 0.75 1.29 1.50 1.50 654 511 Quarry Wood 6 600 2512278 15180.27 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.44 1.40 1.40 0.77 1.50 1.50 658 511 Lossie 7 601 8177766 27177.71 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.14 1.40 0.58 1.25 1.50 0.00 653 511 Castle Hill & Bal0coul 8 598 5773125 38313.65 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.40 1.40 1.02 1.03 1.50 0.00 657 511 Teindland 9 599 12932104 41030.16 8.10 V90 3.0 MW 16 96329 48 6.3 5.59 3690000 41 0.65 1.06 1.40 0.72 1.28 1.50 1.50 652 511 Elchies 10 597 15015702 20490.19 8.22 V90 3.0 MW 41 222896 123 6.0 5.42 9540000 106 0.70 1.22 1.40 0.52 1.38 1.50 1.50 651 511 Scootmore 11 596 4583697 15012.55 0.00 0 0 0 0 0.0 0.00 0 0 1.39 0.14 1.40 0.74 1.23 1.50 0.00 640 511 Deer Park & Whiteash 12 591 16901533 60238.58 8.48 V90 3.0 MW 20 128033 60 6.4 6.31 4680000 52 0.70 1.01 1.40 1.00 1.38 1.50 1.50 675 511 Ben Aigan 13 609 14200848 35128.6 7.44 V90 3.0 MW 20 126700 60 6.4 3.94 4590000 51 0.70 0.26 1.40 0.70 1.38 1.50 1.50 688 511 Rosarie & Greenhills 14 610 9864497 44072.98 8.42 V90 3.0 MW 11 76625 33 6.7 6.31 2700000 30 0.98 1.06 1.40 0.70 1.27 1.50 1.50 673 511 Morinsh 15 607 9084528 26335.38 7.48 V90 3.0 MW 8 44283 24 6.0 3.03 1980000 22 1.40 0.14 1.40 0.14 1.40 1.50 1.50 672 511 Glenfiddich & Blackwater 16 606 10907884 23704.92 7.72 V90 3.0 MW 32 225122 96 6.7 4.11 7380000 82 1.20 0.56 1.40 0.20 1.37 1.50 1.50 674 511 Cairds Wood 17 608 1431544 7592.338 8.79 V80 2.0 MW 4 17259 8 6.1 6.94 810000 9 0.98 0.84 1.40 1.17 1.40 1.50 1.50 671 511 Aultmore 18 605 24131933 44028.84 8.76 V90 3.0 MW 85 652632 255 7.0 6.77 19530000 217 0.91 1.40 1.40 0.80 1.24 1.50 1.50 670 511 Maud 19 604 3686375 15335.68 8.48 V90 3.0 MW 8 52225 24 6.5 6.27 1980000 22 0.98 1.40 1.40 0.70 1.00 1.50 1.50 660 511 Ordiequish 20 603 23618700 57992.22 8.47 V90 3.0 MW 66 397309 198 6.3 6.37 15120000 168 0.71 0.97 1.40 1.08 1.30 1.50 1.50 58 513 Coreen Hills 1 41 14828285 39124.33 7.46 V90 3.0 MW 46 358778 138 7.1 4.15 10710000 119 0.96 0.62 1.40 0.28 1.20 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 990 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 26 513 Inglismaldie 2 33 2690125 12944.42 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.94 1.40 0.91 0.14 1.50 0.00 27 513 Denlethen 3 34 674917.5 3572.992 10.00 E44 900kW 1 1964 0.9 7.0 9.66 90000 1 1.40 1.40 1.40 1.40 1.40 1.50 1.50 28 513 South Drumtochty 4 35 8651700 20528.46 9.16 V90 3.0 MW 24 168532 72 6.7 7.62 5580000 62 1.15 1.40 1.40 0.89 1.32 1.50 1.50 6 513 North Drumtochty & Glenfarquhar 5 14 28094561 27975.94 8.80 V90 3.0 MW 92 691603 276 7.0 6.54 21240000 236 0.99 1.40 1.40 0.64 1.37 1.50 1.50 33 513 Ben0chie 6 22 23779962 50213.93 8.02 V90 3.0 MW 60 460499 180 7.0 5.38 13770000 153 0.69 1.02 1.40 0.61 1.30 1.50 1.50 7 513 Fetteresso 7 15 30023996 42312.93 8.97 V90 3.0 MW 106 762396 318 6.8 7.16 24300000 270 0.98 1.40 1.40 0.86 1.34 1.50 1.50 19 513 Pitfichie 8 7 14438049 46466.21 8.51 V90 3.0 MW 18 117091 54 6.5 6.03 4230000 47 0.70 1.40 1.40 0.72 1.29 1.50 1.50 8 513 Dunnottar 9 16 334802.3 9158.629 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 1.40 0.00 1.50 0.00 9 513 Durris (Main Block) 10 17 15825262 40344.83 8.76 V90 3.0 MW 51 385163 153 7.0 6.77 11790000 131 0.70 1.19 1.40 1.12 1.35 1.50 1.50 29 513 Durris Outliers (Mulloch) 11 31 6546564 58912.58 8.88 E44 900kW 1 1359 0.9 6.0 6.73 90000 1 0.98 1.40 1.40 0.70 1.40 1.50 1.50 34 513 Maryculter 12 23 1457607 10427.37 6.22 E44 900kW 1 1359 0.9 6.0 1.31 90000 1 0.14 0.14 1.40 1.40 0.14 1.50 1.50 25 513 Peterculter 13 32 2057029 15917.88 7.48 E44 900kW 1 1359 0.9 6.0 3.03 90000 1 0.14 1.40 1.40 1.40 0.14 1.50 1.50 13 513 Countesswells 14 1 2637442 27433.59 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.24 1.40 1.36 0.00 1.50 1.50 57 513 Parkhill 15 40 434972.4 4537.396 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.14 1.40 1.40 0.00 1.50 1.50 55 513 Kirkhill 16 38 4941458 27145.73 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.40 1.40 0.77 1.13 1.50 1.50 24 513 Balbithan 17 30 1308763 8846.804 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.14 1.40 1.30 0.64 1.50 1.50 10 513 Midmar 18 18 6148628 19061.36 8.64 V80 2.0 MW 8 33855 16 6.1 6.16 1530000 17 0.70 1.40 1.40 0.74 1.40 1.50 1.50 36 513 Banchory Woods 19 26 4733681 35845.01 0.00 0 0 0 0 0.0 0.00 0 0 0.83 0.14 1.40 1.22 0.46 1.50 0.00 21 513 Blackhall 20 27 10939549 25244 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.69 1.15 1.50 1.50 11 513 Balfour 21 19 2407110 7185.084 7.25 V90 3.0 MW 2 10873 6 6.0 3.20 540000 6 0.98 0.14 1.40 0.33 1.40 1.50 1.50 12 513 Lumpha0n 22 20 2319043 13413.91 8.25 V80 2.0 MW 4 22799 8 7.0 6.01 900000 10 0.98 1.27 1.40 0.70 0.90 1.50 1.50 32 513 Pan0nich 23 21 2564750 8412.567 0.00 0 0 0 0 0.0 0.00 0 0 1.27 0.14 0.00 0.70 1.12 1.50 1.50 22 513 Cambus O May 24 28 2831531 7161.406 0.00 0 0 0 0 0.0 0.00 0 0 1.32 0.00 0.00 1.40 1.29 1.50 1.50 23 513 Inver 25 29 2026513 11417.47 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.00 1.09 1.50 0.00 37 513 Corrennie 26 42 10300509 49299.67 8.55 V90 3.0 MW 16 111956 48 6.7 6.51 3780000 42 0.89 1.40 1.40 0.85 1.01 1.50 1.50 14 513 Kem0y Woods 27 2 5748499 55119.11 7.48 E44 900kW 1 1359 0.9 6.0 3.03 90000 1 0.14 1.40 1.40 1.40 0.14 1.50 1.50 38 513 Brownside & Maryhill 28 43 1099478 6805.957 8.88 E44 900kW 3 4972 2.7 6.5 6.73 180000 2 0.98 1.40 1.40 0.70 1.40 1.50 1.50 30 513 Turriff Woods 29 36 4096074 27956.66 8.28 V80 2.0 MW 6 33497 12 6.9 5.83 1170000 13 0.77 1.40 1.40 0.70 1.01 1.50 1.50 1 513 Sillyearn 30 9 3599320 16606.12 6.36 V90 3.0 MW 1 7618 3 7.0 2.15 360000 4 0.98 0.14 1.40 0.70 0.14 1.50 1.50 3 513 Balloch 31 11 10441642 31699.23 8.51 V90 3.0 MW 29 187594 87 6.5 6.68 6660000 74 0.98 1.03 1.40 0.87 1.23 1.50 1.50 0 513 Rothiemay 32 8 2226194 26406.01 8.40 V80 2.0 MW 2 9540 4 6.4 6.57 450000 5 0.98 1.15 1.40 0.98 0.90 1.50 1.50 18 513 Kinnoir 33 6 3862671 24647.76 8.48 V80 2.0 MW 6 26188 12 6.1 6.32 1260000 14 0.98 1.40 1.40 0.75 0.95 1.50 1.50 17 513 Bin 34 5 12449857 43882.18 7.41 V90 3.0 MW 10 54365 30 6.0 3.99 2340000 26 0.98 0.14 1.40 0.78 1.11 1.50 1.50 31 513 Ardo0ld 35 37 3865555 23280.41 8.88 V90 3.0 MW 1 5436 3 6.0 6.73 360000 4 0.98 1.40 1.40 0.70 1.40 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 56 513 Braes of Gight 36 39 1336312 14070.78 6.98 V80 2.0 MW 3 15784 6 6.7 3.39 630000 7 0.70 0.14 1.40 0.70 1.04 1.50 1.50 20 513 Clashindarroch 37 25 59212813 88189.28 7.88 V90 3.0 MW 170 ###### 510 6.6 4.82 39060000 434 0.98 0.87 1.40 0.31 1.32 1.50 1.50 5 513 Gartly Moor 39 13 12505169 38611.06 8.61 V90 3.0 MW 47 394939 141 7.4 6.53 10800000 120 0.98 1.16 1.40 0.71 1.36 1.50 1.50 15 513 Asloun 40 3 4198653 18509.15 8.66 V90 3.0 MW 12 84083 36 6.7 6.23 2880000 32 0.98 1.40 1.40 0.56 1.32 1.50 1.50 4 513 Cushnie 41 12 9654691 45029.88 8.68 V90 3.0 MW 17 119436 51 6.7 6.57 3960000 44 0.98 1.40 1.40 0.70 1.20 1.50 1.50 16 513 Aucher0ch 42 4 3348296 15876.59 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.16 0.71 1.50 1.50 2 513 Bunzeach 43 10 18159330 40292.96 0.00 0 0 0 0 0.0 0.00 0 0 1.33 0.78 0.00 1.01 1.28 1.50 1.50 35 513 Stonehaven 98 24 122703.4 2994.471 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 1.40 0.14 1.50 0.00 300 516 Stroupster 1 203 4269631 14157.4 6.22 V90 3.0 MW 14 94800 42 6.6 1.31 3240000 36 0.14 0.14 1.40 0.14 1.40 1.50 1.50 318 516 Stanstill 2 214 856506.6 7812.146 8.49 V80 2.0 MW 2 10167 4 6.6 5.08 450000 5 0.14 1.40 1.40 1.40 1.15 1.50 1.50 319 516 Brawlbin and Olgrinmore 4 215 5092584 18657.06 7.96 V90 3.0 MW 22 119603 66 6.0 4.33 5040000 56 1.36 0.14 1.40 0.70 1.36 1.50 1.50 320 516 Braehour 5 216 15858019 26390.96 7.76 V90 3.0 MW 60 332940 180 6.1 4.39 13950000 155 0.97 0.21 1.40 0.80 1.38 1.50 1.50 321 516 Halsary 6 217 8839843 18220.63 7.89 V90 3.0 MW 30 164807 90 6.0 4.49 6930000 77 0.69 0.22 1.40 1.24 1.34 1.50 1.50 329 516 Achairn 7 218 17909876 26562.77 7.00 V90 3.0 MW 31 201935 93 6.5 2.95 7110000 79 0.14 0.46 1.40 0.60 1.40 1.50 1.50 330 516 Rowens 8 219 4024180 9150.385 6.62 V90 3.0 MW 14 90586 42 6.5 2.11 3420000 38 0.14 0.14 1.40 0.54 1.40 1.50 1.50 331 516 Toftgun 9 220 10411898 16985.93 6.36 V90 3.0 MW 42 375535 126 7.6 1.63 9810000 109 0.14 0.29 1.40 0.14 1.39 1.50 1.50 332 516 Camster 10 221 1010682 4453.486 5.86 V80 2.0 MW 3 17099 6 7.0 1.17 630000 7 0.14 0.14 1.40 0.14 1.04 1.50 1.50 238 516 Rumster 11 259 7147311 17158.94 7.98 V90 3.0 MW 29 286766 87 8.1 5.33 6750000 75 0.70 0.78 1.40 0.74 1.37 1.50 1.50 333 516 Golticlay 12 222 7209667 11583.82 7.27 V90 3.0 MW 30 287243 90 7.9 3.52 6930000 77 0.68 0.19 1.40 0.61 1.40 1.50 1.50 251 516 Borgie 15 262 31298758 55010.29 7.73 V90 3.0 MW 70 453973 210 6.5 3.67 16110000 179 1.40 0.14 1.40 0.39 1.40 1.50 1.50 334 516 Dyke 16 223 14257958 16467.31 7.85 V90 3.0 MW 40 217460 120 6.0 3.96 9180000 102 1.40 0.14 1.40 0.51 1.40 1.50 1.50 335 516 Forsi0in 17 224 4952093 10079.53 8.36 V90 3.0 MW 20 121543 60 6.3 4.91 4590000 51 1.40 0.14 1.40 1.02 1.40 1.50 1.50 336 516 Syre 20 225 4254399 11121.47 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.00 1.34 1.50 0.00 139 516 Rosal 21 235 32084170 45514.41 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.00 1.37 1.50 1.50 285 516 Rimsdale 22 196 11415506 20983.92 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.00 1.40 1.50 1.50 271 516 North Dalchork 24 192 61490826 94644.6 8.12 V90 3.0 MW 55 388501 165 6.7 4.56 12690000 141 1.40 0.77 1.40 0.16 1.39 1.50 1.50 272 516 Corries 25 193 10973189 21854.49 8.51 V90 3.0 MW 38 252685 114 6.6 5.10 8910000 99 1.40 1.17 1.40 0.14 1.40 1.50 1.50 286 516 South Dalchork 26 197 30848848 45860.94 8.06 V90 3.0 MW 24 154128 72 6.5 4.47 5580000 62 1.40 0.20 1.40 0.66 1.40 1.50 1.50 273 516 Sallachy South 27 194 5023876 9653.042 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.40 1.50 0.00 274 516 Gunns Wood 28 195 691326.1 4248.829 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.40 0.00 1.50 0.00 239 516 Ferry Wood 29 260 4813018 27765.69 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.71 1.40 0.85 1.17 1.50 0.00 275 516 Sallachy 30 198 2998269 7363.667 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.31 1.50 0.00 287 516 Raemore 31 199 5247502 16308.08 8.49 V80 2.0 MW 6 24834 12 6.0 6.11 1260000 14 1.40 0.77 1.40 0.70 1.22 1.50 1.50 231 516 Gruids 32 258 2479688 8807.269 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 0.98 1.33 1.50 0.00 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 307 516 Ledmore 33 210 10378810 24720.29 7.39 V80 2.0 MW 6 24834 12 6.0 2.99 1260000 14 1.40 0.14 1.40 0.14 1.31 1.50 1.50 315 516 Benmore 34 211 35346094 51845.82 7.48 V90 3.0 MW 7 53328 21 7.0 3.03 1800000 20 1.40 0.14 1.40 0.14 1.40 1.50 1.50 316 516 Craggie 35 212 18659352 22484.44 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.60 1.40 0.00 1.39 1.50 1.50 317 516 Caplich 36 213 1957168 7166.714 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.00 1.24 1.50 1.50 288 516 Craggan 37 200 8135145 17185.34 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.00 1.35 1.50 1.50 289 516 Einig 38 201 2747162 10326.56 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.00 1.40 1.50 1.50 290 516 Loubcroy 39 202 4639855 9275.378 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.15 1.40 0.00 1.40 1.50 1.50 337 516 Rosehall 40 226 2382115 15601.65 8.11 V90 3.0 MW 1 5436 3 6.0 4.73 360000 4 1.40 1.09 1.40 0.14 1.09 1.50 1.50 240 516 Inveroykel 41 261 28709958 35355.44 8.74 V90 3.0 MW 8 46804 24 6.2 5.30 1890000 21 1.40 1.40 1.40 0.14 1.40 1.50 1.50 301 516 Deer Park 42 204 3842514 10215.01 7.35 V80 2.0 MW 9 39383 18 6.2 2.97 1800000 20 1.40 0.14 1.40 0.14 1.27 1.50 1.50 302 516 Linside 43 205 5891018 20284.31 7.87 V80 2.0 MW 7 28973 14 6.0 4.26 1350000 15 1.40 0.14 1.40 0.70 1.23 1.50 1.50 303 516 Rhelonie 44 206 2829352 13493.45 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.63 1.04 1.50 0.00 304 516 Achany 45 207 7551499 21578.76 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.65 1.40 1.08 1.21 1.50 0.00 305 516 Invershin 46 208 4901769 9568.769 9.57 V90 3.0 MW 8 48244 24 6.3 8.64 1980000 22 1.40 1.23 1.40 1.15 1.40 1.50 1.50 140 516 Balblair 47 237 3317655 11916.59 7.94 V80 2.0 MW 6 27020 12 6.2 4.31 1170000 13 1.40 0.14 1.40 0.70 1.30 1.50 1.50 237 516 Carbisdale 48 257 17454486 40464.38 9.30 E44 900kW 3 4078 2.7 6.0 7.33 180000 2 1.40 1.40 1.40 0.70 1.40 1.50 1.50 141 516 Braelangwell 49 238 1912531 7875.486 8.72 V90 3.0 MW 3 21225 9 6.8 5.68 720000 8 1.40 1.40 1.40 0.28 1.24 1.50 1.50 222 516 Strathcarron 50 248 3856276 15831.82 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.92 1.40 0.86 0.83 1.50 0.00 223 516 Achormlarie 51 249 20423927 24013.28 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.85 1.37 1.50 1.50 224 516 Rogart 52 250 2884011 11140.97 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.98 1.26 1.50 0.00 225 516 Camore 53 251 1014515 5849.592 0.00 0 0 0 0 0.0 0.00 0 0 0.48 0.14 1.40 0.70 0.39 1.50 0.00 226 516 Fourpenny 54 252 3047199 13692.52 9.35 V80 2.0 MW 7 28973 14 6.0 8.00 1350000 15 1.40 0.98 1.40 1.17 1.40 1.50 1.50 227 516 Skelbo 55 253 1340229 8059.734 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 0.98 1.50 0.00 228 516 Harriets 56 254 2564236 7382.817 7.79 V80 2.0 MW 2 8909 4 6.2 4.66 450000 5 1.40 0.90 1.40 0.70 0.39 1.50 1.50 229 516 Mid Fearn 57 255 2330540 8541.028 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.40 1.17 1.50 0.00 230 516 Struie 58 256 1507606 7511.252 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.28 1.19 1.50 0.00 338 516 Morangie 59 227 16039779 24704.99 7.62 V90 3.0 MW 1 5436 3 6.0 4.01 360000 4 0.98 0.14 1.40 0.70 1.40 1.50 1.50 339 516 Lamington 60 228 5427731 18768.46 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.99 1.37 1.50 1.50 345 516 Strathrory 61 229 21243313 33177.57 7.72 V90 3.0 MW 36 231645 108 6.5 4.26 8460000 94 1.00 0.19 1.40 0.73 1.40 1.50 1.50 340 516 Kildermorie 62 230 2918795 7873.403 8.74 V80 2.0 MW 4 17819 8 6.2 5.30 900000 10 1.40 1.40 1.40 0.14 1.40 1.50 1.50 346 516 Strathrusdale 63 231 8963345 34814.2 8.71 V90 3.0 MW 15 102551 45 6.6 5.28 3510000 39 1.40 1.40 1.40 0.14 1.37 1.50 1.50 347 516 Cnoc 0 Sroine 64 232 9617651 25331.24 8.04 E44 900kW 1 1359 0.9 6.0 4.36 90000 1 1.40 1.40 1.40 0.70 0.14 1.50 1.50 142 516 Dam Wood 65 239 5335178 20102.49 7.62 V80 2.0 MW 5 20695 10 6.0 4.01 990000 11 0.98 0.14 1.40 0.70 1.40 1.50 1.50 143 516 Stittenham 66 240 2560015 15376.61 7.69 V90 3.0 MW 2 10873 6 6.0 4.14 540000 6 0.98 0.14 1.40 1.40 0.77 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 144 516 Wallace Hill 67 241 11012311 26586.82 7.70 V90 3.0 MW 10 63253 30 6.4 4.15 2430000 27 0.98 0.14 1.40 0.78 1.40 1.50 1.50 145 516 Cnoc 0vie 68 242 2362123 9321.084 7.48 V80 2.0 MW 9 39383 18 6.2 3.99 1800000 20 0.70 0.14 1.40 1.16 1.09 1.50 1.50 217 516 Marybank 69 243 508280.5 3865.462 0.00 0 0 0 0 0.0 0.00 0 0 0.70 0.14 1.40 1.40 0.00 1.50 1.50 306 516 Leinster Park 70 209 763062.1 3749.448 7.06 E44 900kW 1 1359 0.9 6.0 2.73 90000 1 0.98 0.14 1.40 1.40 0.14 1.50 1.50 218 516 Wilderness 71 244 2167184 8194.932 7.68 V80 2.0 MW 3 12417 6 6.0 4.08 630000 7 0.70 0.14 1.40 1.40 1.04 1.50 1.50 219 516 Badacho0char 72 245 1202121 7276.764 6.78 E44 900kW 3 4078 2.7 6.0 2.37 180000 2 0.70 0.14 1.40 1.40 0.14 1.50 1.50 220 516 Morrich More 73 246 1428494 5438.667 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.00 1.40 0.70 1.32 1.50 0.00 221 516 Braemore 74 247 3055998 7842.33 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.33 1.40 0.70 1.40 1.50 0.00 348 516 Tain Hill CCF 80 233 2204471 7495.265 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.00 1.40 1.18 1.34 1.50 1.50 350 516 Inchindown CCF 81 236 1126445 4491.15 0.00 0 0 0 0 0.0 0.00 0 0 0.87 0.00 1.40 0.81 1.12 1.50 1.50 349 516 Lamington CCF 82 234 3830004 10884.57 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.00 1.40 1.32 1.15 1.50 1.50 482 517 Glenkirk 2 432 11867052 14834.07 7.92 V90 3.0 MW 47 445127 141 7.9 4.78 10800000 120 0.70 1.08 1.40 0.36 1.39 1.50 1.50 474 517 Moy 3 430 5245596 24613.27 8.33 V90 3.0 MW 15 94975 45 6.4 5.34 3510000 39 0.33 1.40 1.40 0.93 1.27 1.50 1.50 475 517 Meallmore and Inverarnie 4 431 16366219 46125.96 7.65 V90 3.0 MW 18 108472 54 6.3 4.50 4320000 48 0.56 0.59 1.40 0.70 1.40 1.50 1.50 470 517 Glenferness 11 426 3952679 22517.89 9.12 V80 2.0 MW 3 12417 6 6.0 7.15 630000 7 0.70 1.40 1.40 1.40 1.22 1.50 1.50 471 517 Assich 12 427 4417368 17977.04 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.30 1.40 1.09 0.98 1.50 1.50 472 517 Laiken 13 428 2183639 10146.12 0.00 0 0 0 0 0.0 0.00 0 0 0.14 1.40 1.40 0.70 0.61 1.50 0.00 473 517 Daviot 14 429 3483348 9175.488 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.79 1.40 1.40 1.21 1.50 0.00 456 517 Culloden Moor 15 419 3793454 16889.59 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.24 1.40 1.17 1.21 1.50 0.00 440 517 Culloden 2 16 417 1840668 16006.47 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.49 1.40 1.36 0.14 1.50 0.00 438 517 Craig Phadraig 17 415 839608.8 8462.037 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.14 1.40 0.70 0.00 1.50 0.00 439 517 Farr 19 416 6262327 20692.15 9.03 V90 3.0 MW 16 124307 48 7.1 7.06 3870000 43 0.70 1.40 1.40 1.19 1.34 1.50 1.50 436 517 Boblainy 21 413 10853816 33311.37 0.00 0 0 0 0 0.0 0.00 0 0 1.39 1.39 1.40 0.67 1.29 1.50 0.00 437 517 Aigas 22 414 3137927 20997.76 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 0.98 1.24 1.50 0.00 503 517 Batten and Reelig 23 443 4466212 16899.96 0.00 0 0 0 0 0.0 0.00 0 0 0.94 0.14 1.40 0.70 0.84 1.50 0.00 500 517 Auchmore and Clashwood 24 441 2497146 15261.42 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.34 1.40 1.23 0.77 1.50 0.00 501 517 Muir of Ord 25 442 1195007 9969.071 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.15 1.40 1.40 0.14 1.50 0.00 499 517 Glenmore 31 440 35662429 50797.29 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.28 1.35 1.50 1.50 504 517 Inshriach 41 444 36886014 80597.13 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.88 1.23 1.50 1.50 505 517 Strathmashie 42 445 13486152 34976.9 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.53 0.00 0.78 1.33 1.50 1.50 511 517 Slattadale 51 446 4784831 26209.56 8.74 V90 3.0 MW 1 5436 3 6.0 5.30 360000 4 1.40 0.14 1.40 1.40 1.40 1.50 1.50 485 517 Black Isle Main Block and Culbokie 61 435 32550978 69002.05 7.34 V90 3.0 MW 75 493893 225 6.5 3.78 17280000 192 0.14 0.84 1.40 0.72 1.24 1.50 1.50 486 517 Eathie 62 436 3972272 17026.46 7.84 V90 3.0 MW 7 53328 21 7.0 4.00 1710000 19 0.14 0.54 1.40 1.36 1.40 1.50 1.50 487 517 Drumsmittal and Corrachie 63 437 2781821 17177.9 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.42 1.40 0.94 1.09 1.50 0.00 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 9.. 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 459 517 Shantullich 64 422 1834846 11648.06 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.85 1.40 1.00 0.14 1.50 0.00 460 517 Mo0dh Mor 65 423 4711671 22137.52 6.87 V80 2.0 MW 5 20695 10 6.0 3.22 990000 11 0.55 0.14 1.40 0.96 0.83 1.50 1.50 461 517 Ord Hill 66 424 1624425 8388.202 6.22 E44 900kW 3 4078 2.7 6.0 1.31 180000 2 0.14 0.14 1.40 1.40 0.14 1.50 1.50 469 517 Black Isle small woods 67 425 989211.7 8015.329 0.00 0 0 0 0 0.0 0.00 0 0 0.22 0.59 1.40 1.00 0.98 1.50 0.00 506 517 Belton Wood 69 448 4395906 27392.91 6.62 V80 2.0 MW 3 13770 6 6.3 2.45 630000 7 0.14 0.14 1.40 0.90 1.04 1.50 1.50 483 517 Lael 71 433 8738240 31630.93 8.25 V90 3.0 MW 1 7618 3 7.0 4.88 360000 4 1.40 0.14 1.40 1.23 1.09 1.50 1.50 458 517 Strathbran 80 421 10352364 32451.59 8.74 V90 3.0 MW 8 43492 24 6.0 5.30 1980000 22 1.40 0.14 1.40 1.40 1.40 1.50 1.50 457 517 Longart and Garbat 81 420 32239232 42588.74 8.42 V90 3.0 MW 33 257351 99 7.1 5.53 7560000 84 1.40 0.50 1.40 0.72 1.40 1.50 1.50 512 517 Strathgarve and Corriemoillie 82 447 10577215 58831.18 9.58 V80 2.0 MW 2 8278 4 6.0 8.34 450000 5 1.40 1.40 1.40 0.98 1.40 1.50 1.50 455 517 Strathconnon 85 418 5410604 19254.85 8.56 V80 2.0 MW 6 26188 12 6.1 5.15 1260000 14 1.40 1.40 1.40 0.14 1.22 1.50 1.50 426 517 Torrachilty 86 412 34494630 67164.05 7.90 V90 3.0 MW 31 187707 93 6.3 4.33 7290000 81 1.33 0.36 1.40 0.42 1.40 1.50 1.50 497 517 Achilty_Comrie_Garve 88 438 13751540 38134.42 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.23 1.40 1.21 1.30 1.50 0.00 498 517 Blackmuir and Strathpeffer 89 439 1808564 15488.3 0.00 0 0 0 0 0.0 0.00 0 0 0.85 0.14 1.40 0.70 0.14 1.50 0.00 484 517 Aline 91 434 43843.66 1230.158 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 411 517 Moorfield and Dor0muick outliers 99 411 154820.5 3625.832 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.70 1.40 0.00 0.14 1.50 0.00 490 518 Upper Beauly 1 364 1.69E+08 210761.2 0.00 0 0 0 0 0.0 0.00 0 0 1.39 0.36 1.40 0.58 1.37 1.50 1.50 200 518 Enrick 2 350 33604787 99057.27 9.10 V90 3.0 MW 16 89410 48 6.1 7.11 3870000 43 1.40 1.20 1.40 0.70 1.40 1.50 1.50 434 518 South Loch Ness 3 360 44022738 159897.9 9.20 V90 3.0 MW 11 66647 33 6.3 7.92 2520000 28 1.36 1.09 1.40 1.05 1.31 1.50 1.50 432 518 Inch0cardoch 4 358 44441543 46596.77 9.50 V90 3.0 MW 55 341260 165 6.4 8.04 12780000 142 1.40 1.40 1.40 0.90 1.40 1.50 1.50 466 518 Morriston 5 362 55168418 152602.4 9.56 V90 3.0 MW 18 103565 54 6.1 8.51 4320000 48 1.40 1.30 1.40 1.07 1.40 1.50 1.50 395 518 Glen Sheil 6 354 4950867 28942.69 8.58 V80 2.0 MW 4 23473 8 7.1 5.18 810000 9 1.40 1.24 1.40 0.14 1.40 1.50 1.50 433 518 Loch Duich 7 359 15543555 53371.79 8.75 V90 3.0 MW 9 60041 27 6.6 6.43 2070000 23 1.40 1.00 1.40 0.60 1.35 1.50 1.50 465 518 Glenelg 8 361 15664684 25837.09 8.70 V90 3.0 MW 14 98432 42 6.7 6.61 3330000 37 1.29 0.74 1.40 0.91 1.37 1.50 1.50 212 518 Ach0shellach 9 349 15351716 59520.38 9.76 V90 3.0 MW 3 17124 9 6.1 9.10 720000 8 1.40 1.24 1.40 1.31 1.40 1.50 1.50 210 518 North Strome 10 352 8864375 30130.16 0.00 0 0 0 0 0.0 0.00 0 0 1.29 1.18 1.40 0.38 1.28 1.50 0.00 209 518 Strome 11 351 16659156 51125.36 9.28 V90 3.0 MW 27 182187 81 6.6 7.32 6300000 70 1.40 1.40 1.40 0.70 1.38 1.50 1.50 423 518 Balmacara 13 357 11184629 27695.81 8.23 V90 3.0 MW 22 165970 66 7.0 4.72 5220000 58 1.40 0.14 1.40 0.89 1.40 1.50 1.50 208 518 Kinloch Hills 14 348 73839928 57371.1 7.60 V90 3.0 MW 44 319290 132 6.8 4.00 10260000 114 1.00 0.14 1.40 0.69 1.38 1.50 1.50 199 518 Sleat 15 347 4406165 10416.48 7.77 V90 3.0 MW 9 80186 27 7.6 4.26 2070000 23 1.31 0.74 1.40 0.14 1.18 1.50 1.50 198 518 Broadford 16 346 3691724 15918.52 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.32 1.37 1.50 0.00 422 518 Glen Brittle 17 356 39124363 45319.57 7.23 V90 3.0 MW 47 387820 141 7.3 3.24 10980000 122 0.98 0.14 1.40 0.35 1.36 1.50 1.50 402 518 Glen Varagill 18 355 18233690 65900.59 9.04 V90 3.0 MW 48 345345 144 6.8 7.66 11070000 123 0.98 1.19 1.40 1.14 1.34 1.50 1.50 489 518 Glen Vicaskill 19 363 19041011 64377.39 9.01 V90 3.0 MW 60 421538 180 6.7 7.38 13860000 154 0.98 1.28 1.40 0.95 1.40 1.50 1.50 394 518 Raasay 21 353 2904909 19411.13 7.53 V90 3.0 MW 3 26830 9 7.6 3.49 720000 8 1.40 0.14 1.40 0.35 1.24 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 662 519 Callart 11 522 2865208 9616.231 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.30 1.50 1.50 850 519 Glenrigh 12 548 20593878 24316.72 8.39 V90 3.0 MW 1 5436 3 6.0 4.95 360000 4 1.40 0.14 1.40 1.05 1.40 1.50 1.50 849 519 Glen Nevis 21 547 9546336 31378.61 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.24 1.40 0.84 1.28 1.50 0.00 851 519 Lea0chan 31 549 29673379 35127.73 8.04 V80 2.0 MW 6 24834 12 6.0 4.36 1260000 14 1.40 0.14 1.40 0.70 1.40 1.50 1.50 663 519 GG Cattle Ranch Woods 32 523 10051850 35374.04 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.53 1.40 0.93 1.19 1.50 0.00 665 519 Mucomuir 33 525 2531997 6371.308 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.38 0.98 1.50 0.00 802 519 Glen Roy 34 539 20388554 46191.9 7.97 V80 2.0 MW 7 28973 14 6.0 4.21 1350000 15 1.40 0.14 1.40 0.63 1.40 1.50 1.50 681 519 Corrour 41 526 27436986 31305.71 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.75 1.40 0.14 1.40 1.50 1.50 664 519 Callop 51 524 7306502 23510.25 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.50 1.40 0.94 1.31 1.50 0.00 682 519 Glen Loy 53 527 10405302 25565.25 8.95 V80 2.0 MW 7 34491 14 6.5 6.07 1440000 16 1.40 1.40 1.40 0.35 1.40 1.50 1.50 684 519 Gairlochy 54 529 1245936 4735.823 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.12 1.50 0.00 683 519 Clunes 61 528 25263241 36287.79 9.12 V90 3.0 MW 28 213312 84 7.0 7.13 6480000 72 1.35 1.28 1.40 0.68 1.40 1.50 1.50 719 519 North Arkaig Woods 62 530 4818335 15124.61 8.52 V80 2.0 MW 8 33855 16 6.1 5.11 1530000 17 1.40 1.18 1.40 0.14 1.40 1.50 1.50 720 519 Glen Mallie 63 531 5772240 12236.99 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.93 1.40 0.21 1.36 1.50 0.00 721 519 South Loch Arkaig 64 532 5190828 12481.41 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.10 1.40 0.00 1.40 1.50 0.00 803 519 South Laggan 70 540 17080792 31780.61 8.18 V90 3.0 MW 14 106656 42 7.0 4.81 3240000 36 1.40 0.28 1.40 0.70 1.40 1.50 1.50 804 519 50 Acre Wood 71 541 205297.1 2142.712 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 1.17 0.14 1.50 0.00 722 519 Craig Liath 72 533 11608968 16754.55 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.63 1.40 1.15 1.29 1.50 0.00 723 519 Dry0chan 73 534 8507357 22143.23 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.30 1.40 1.35 1.31 1.50 0.00 756 519 Glengarry 74 536 1.22E+08 62196.69 8.99 V90 3.0 MW 49 323759 147 6.5 6.21 11250000 125 1.40 1.40 1.40 0.39 1.40 1.50 1.50 757 519 Ardochy 76 537 2601439 15355.42 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 1.40 1.10 1.50 0.00 724 519 Lochshiel 81 535 18112426 28088.56 7.17 V80 2.0 MW 5 32207 10 7.5 2.83 1080000 12 1.09 0.14 1.40 0.14 1.40 1.50 1.50 758 519 Glenhurich 82 538 43996917 39302.77 7.34 V90 3.0 MW 31 213961 93 6.7 2.96 7110000 79 1.28 0.14 1.40 0.14 1.38 1.50 1.50 661 519 Achanellan 83 521 12390526 27309.46 8.04 E44 900kW 3 4078 2.7 6.0 4.36 180000 2 1.40 0.14 1.40 0.70 1.40 1.50 1.50 805 519 Drim0torran 84 542 9539882 29232.09 8.04 V90 3.0 MW 1 5436 3 6.0 4.36 270000 3 1.40 0.14 1.40 0.70 1.40 1.50 1.50 806 519 Kilcamb 85 543 875727.3 4135.78 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.40 1.40 1.50 0.00 808 519 Longrigg 86 546 294214.9 3377.202 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.40 0.00 1.50 0.00 848 519 Loch Su0rt 87 544 7352969 37189.88 0.00 0 0 0 0 0.0 0.00 0 0 1.37 0.14 1.40 1.11 1.03 1.50 1.50 807 519 Ardmolich 88 545 924602.3 5102.683 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 1.34 1.27 1.50 0.00 343 701 Cruach Tarbeirt 1 182 8954756 30320.46 0.00 0 0 0 0 0.0 0.00 0 0 1.17 0.14 0.00 1.10 1.23 1.50 0.00 326 701 Glen Croe 2 152 30840338 57097.04 0.00 0 0 0 0 0.0 0.00 0 0 1.24 0.99 0.00 0.78 1.33 1.50 1.50 256 701 Ardgartan Peninsula 3 161 33526063 34925.64 0.00 0 0 0 0 0.0 0.00 0 0 1.23 1.40 0.14 0.70 1.38 1.50 1.50 314 701 Loch Goil 4 179 41796690 60465.74 0.00 0 0 0 0 0.0 0.00 0 0 1.26 1.00 0.14 0.88 1.34 1.50 1.50 244 701 Strathlachlan 5 154 18689110 48791.45 9.15 V90 3.0 MW 12 65238 36 6.0 7.85 2880000 32 1.18 1.40 1.12 1.05 1.40 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 328 701 Strath-0n-lub 6 180 31975309 57726.08 8.30 V90 3.0 MW 66 436014 198 6.5 5.95 15120000 168 1.14 1.29 0.64 0.84 1.40 1.50 1.50 313 701 Glenbranter 7 176 36103495 59130.23 8.11 V90 3.0 MW 1 7618 3 7.0 4.63 360000 4 1.30 1.40 0.14 0.88 1.40 1.50 1.50 216 701 Loch Eck 8 185 19118921 76245.21 0.00 0 0 0 0 0.0 0.00 0 0 1.24 0.14 0.00 0.47 1.17 1.50 1.50 342 701 Glen Fi0rt 9 181 26003073 59750.41 0.00 0 0 0 0 0.0 0.00 0 0 1.00 0.67 0.00 1.04 1.34 1.50 1.50 284 701 Cruach Benmore 10 172 16649300 51174.07 0.00 0 0 0 0 0.0 0.00 0 0 1.08 0.89 0.00 0.90 1.23 1.50 1.50 235 701 Corlarach 11 186 27072273 34466.46 8.97 V90 3.0 MW 57 471647 171 7.3 7.46 13230000 147 1.13 1.13 1.40 0.94 1.37 1.50 1.50 249 701 Ormidale 12 189 9225751 24018.42 8.63 V90 3.0 MW 16 113414 48 6.8 6.51 3690000 41 0.98 1.15 1.40 0.70 1.40 1.50 1.50 282 701 Acharossan 13 170 15934793 24580.39 8.82 V90 3.0 MW 55 421513 165 7.0 6.93 12690000 141 1.02 1.23 1.40 0.78 1.39 1.50 1.50 283 701 Butterbridge 14 171 635102.8 3995.621 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.70 1.40 0.00 1.50 268 701 North Otter 15 166 11453977 17131.76 9.04 V90 3.0 MW 37 302800 111 7.3 7.34 8550000 95 0.98 1.36 1.40 0.91 1.39 1.50 1. 50 269 701 Clachaig 16 167 1711418 7163.685 8.74 E44 900kW 1 1359 0.9 6.0 5.30 90000 1 1.40 1.40 0.14 1.40 1.40 1.50 1.50 270 701 Gle0n 17 168 1451721 8169.417 8.38 V80 2.0 MW 2 11399 4 7.0 6.07 450000 5 0.98 1.40 1.40 0.70 0.90 1.50 1.50 281 701 Achray East1 20 169 7046931 17044.25 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.35 1.36 1.50 0.00 266 701 Achray West 21 164 17957591 26298.01 0.00 0 0 0 0 0.0 0.00 0 0 1.23 0.17 0.00 0.39 1.33 1.50 1.50 327 701 Achray North 22 153 1.02E+08 198792.1 0.00 0 0 0 0 0.0 0.00 0 0 1.23 1.00 0.00 0.63 1.36 1.50 1.50 312 701 Achray East2 23 149 8698423 28471.38 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.73 1.30 1.50 1.50 324 701 Cardross/Rednock 24 150 3872883 15065.47 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.36 0.36 1.18 1.50 0.00 325 701 Lendrick/Milton 25 151 1584458 6202.975 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 0.00 0.70 1.32 1.50 1.50 267 701 Flanders 26 165 8232563 31003.6 0.00 0 0 0 0 0.0 0.00 0 0 1.29 0.27 0.60 0.75 1.34 1.50 0.00 236 701 South Loch Ard 30 187 13312604 30530.48 0.00 0 0 0 0 0.0 0.00 0 0 1.22 0.80 0.00 1.12 1.26 1.50 1.50 298 701 Loch Chon 31 177 17816905 28495.93 0.00 0 0 0 0 0.0 0.00 0 0 1.04 1.40 0.00 0.77 1.31 1.50 1.50 299 701 Beinn Bhan 32 178 10501731 17110.71 0.00 0 0 0 0 0.0 0.00 0 0 1.28 0.19 0.00 0.97 1.40 1.50 1.50 255 701 Corrie 33 160 11753088 21540.61 0.00 0 0 0 0 0.0 0.00 0 0 1.01 0.64 0.00 0.76 1.34 1.50 1.50 250 701 Drumore 34 190 21878529 37328.02 0.00 0 0 0 0 0.0 0.00 0 0 1.29 0.20 0.00 1.00 1.25 1.50 0.00 254 701 Greenburn 35 159 9046221 29537.31 7.62 E44 900kW 1 1359 0.9 6.0 4.01 90000 1 0.98 1.40 0.14 0.70 1.40 1.50 1.50 344 701 Corrigren0n 36 183 12255962 20328.84 0.00 0 0 0 0 0.0 0.00 0 0 1.28 0.85 0.00 0.78 1.38 1.50 1.50 258 701 East Loch Lomond 60 191 9859626 38625.58 0.00 0 0 0 0 0.0 0.00 0 0 1.15 0.14 0.00 0.14 1.16 1.50 1.50 246 701 Garadbhan 61 156 4407304 21195.65 0.00 0 0 0 0 0.0 0.00 0 0 0.70 0.50 0.00 1.00 1.24 1.50 1.50 247 701 Balmaha 62 157 572230.8 4963.962 0.00 0 0 0 0 0.0 0.00 0 0 0.70 0.14 0.00 0.70 0.00 1.50 0.00 253 701 Ptarmigan 64 158 9132741 17849.77 0.00 0 0 0 0 0.0 0.00 0 0 1.27 0.14 0.00 0.64 1.37 1.50 1.50 245 701 Ross Priory 65 155 706432.1 4740.57 0.00 0 0 0 0 0.0 0.00 0 0 0.70 0.14 0.00 1.40 0.77 1.50 0.00 297 701 Kirkton/Mo0chyle 80 175 12634447 38888.93 0.00 0 0 0 0 0.0 0.00 0 0 1.35 0.64 0.00 0.44 1.36 1.50 1.50 248 701 Strathyre East 81 188 13436610 43607.47 0.00 0 0 0 0 0.0 0.00 0 0 1.18 0.16 0.00 1.20 1.27 1.50 1.50 138 701 Strathyre West 82 184 13979394 39559.1 0.00 0 0 0 0 0.0 0.00 0 0 1.39 0.17 0.00 0.98 1.33 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 295 701 Strathyre South 83 173 15213275 35740.05 0.00 0 0 0 0 0.0 0.00 0 0 1.22 0.31 0.00 1.00 1.34 1.50 1.50 296 701 Torrie 84 174 3646012 13198.49 6.78 E44 900kW 3 4078 2.7 6.0 2.37 180000 2 1.40 0.14 0.14 0.70 1.40 1.50 1.50 265 701 Callander Crags 85 163 2034262 16183.63 0.00 0 0 0 0 0.0 0.00 0 0 1.38 0.14 0.00 1.07 0.61 1.50 0.00 257 701 Letter 88 162 3436760 10317.94 0.00 0 0 0 0 0.0 0.00 0 0 1.29 0.38 0.00 0.70 1.26 1.50 1.50 1179 704 Cardenden 1 986 1288301 17295.64 8.04 V80 2.0 MW 4 16556 8 6.0 5.03 810000 9 0.70 0.42 1.40 1.40 1.12 1.50 1.50 1163 704 Cullaloe 2 983 350647.7 4198.447 6.85 E44 900kW 3 5891 2.7 7.0 2.47 180000 2 0.14 0.14 1.40 1.40 0.77 1.50 1.50 1177 704 Be0rty 4 984 595294 5409.508 0.00 0 0 0 0 0.0 0.00 0 0 0.70 0.14 1.40 0.70 1.40 1.50 1.50 1178 704 Dean 5 985 795454.8 5018.308 8.60 V80 2.0 MW 2 8278 4 6.0 5.48 450000 5 0.25 1.40 1.40 1.40 1.15 1.50 1.50 1155 704 Blairadam 6 975 12334383 43510.51 7.26 V90 3.0 MW 31 212549 93 6.7 3.83 7200000 80 0.70 0.22 1.40 0.76 1.18 1.50 1.50 1119 704 Carnock 7 968 488794 3711.829 6.78 E44 900kW 3 5891 2.7 7.0 2.37 180000 2 0.70 0.14 1.40 1.40 0.14 1.50 1.50 1120 704 Cleish Hills 8 969 183295.6 1649.454 7.62 E44 900kW 1 1359 0.9 6.0 4.01 90000 1 0.98 1.40 1.40 0.70 0.14 1.50 1.50 929 704 Devilla / Balgownie 9 997 8298261 33734.39 7.72 V90 3.0 MW 9 48928 27 6.0 4.17 2070000 23 0.71 0.14 1.40 1.34 1.13 1.50 1.50 1075 704 Gartmorn 11 951 723893.6 7326.005 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 1.40 1.40 1.50 0.00 1076 704 Forest Mill 12 952 559951.4 3194.627 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.70 0.14 1.50 0.00 1077 704 Gartarry 13 953 112390 1673.998 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 1.40 1.40 1.50 0.00 1096 704 Pat0 32 958 5766598 16950.6 8.42 V90 3.0 MW 9 48928 27 6.0 5.93 2250000 25 0.63 1.40 1.40 0.78 1.20 1.50 1.50 1117 704 Kyle North & South 33 966 65994304 93726.59 8.51 V90 3.0 MW 141 899488 423 6.4 6.00 32490000 361 0.76 1.31 1.40 0.64 1.40 1.50 1.50 1118 704 Pencloe 39 967 8245734 14153.75 8.47 V80 2.0 MW 7 28973 14 6.0 5.37 1350000 15 0.98 1.40 1.40 0.29 1.40 1.50 1.50 1137 704 Whitelee 40 970 59984524 118953.3 8.21 V90 3.0 MW 206 ###### 618 6.5 4.96 47250000 525 0.84 1.39 1.40 0.25 1.32 1.50 1.50 1180 704 Aucheleffan 51 987 16065663 24178.22 7.35 V90 3.0 MW 41 343294 123 7.4 3.55 9450000 105 0.98 0.14 1.40 0.49 1.34 1.50 1.50 1078 704 Garbad 52 954 11579084 27517.32 7.52 V90 3.0 MW 35 351871 105 8.2 3.97 8100000 90 0.98 0.14 1.40 0.70 1.30 1.50 1.50 1080 704 Gle0shdale 53 956 5601507 15873.36 8.00 V90 3.0 MW 16 116929 48 6.9 4.59 3780000 42 0.98 0.14 1.40 1.08 1.40 1.50 1.50 1095 704 Dyemill 54 957 12733285 19099.09 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.15 1.40 0.93 1.37 1.50 1.50 1097 704 Glenrickard 55 959 18117311 35873.8 7.95 V80 2.0 MW 8 33112 16 6.0 4.53 1530000 17 0.98 0.14 1.40 1.03 1.40 1.50 1.50 877 704 Merkland/Sannox 56 990 8080722 25556.83 7.62 V80 2.0 MW 7 35586 14 6.6 4.01 1350000 15 0.98 0.14 1.40 0.70 1.40 1.50 1.50 1138 704 Glenscorradale 57 972 9077960 18290.35 7.45 V90 3.0 MW 16 136980 48 7.4 3.61 3870000 43 1.03 0.14 1.40 0.48 1.40 1.50 1.50 878 704 Shedog/Kilpatrick 58 991 17797440 30985.97 7.43 V90 3.0 MW 46 457841 138 8.1 3.57 10710000 119 1.06 0.14 1.40 0.45 1.38 1.50 1.50 1079 704 Machrie/Torr Righ 59 955 11723948 31343.22 8.17 V90 3.0 MW 26 200551 78 7.0 4.80 6120000 68 1.23 0.14 1.40 1.04 1.36 1.50 1.50 928 704 Limerigg/Barns/Drumbow 61 996 7363917 51374.72 6.05 V90 3.0 MW 7 46547 21 6.6 1.89 1620000 18 0.14 0.35 1.40 0.39 0.77 1.50 1.50 905 704 Kilpatrick Hills 63 994 22812713 67621.75 6.90 V90 3.0 MW 42 284944 126 6.6 2.72 9630000 107 0.14 0.26 1.40 0.75 1.35 1.50 1.50 1098 704 Garshellach 64 960 1739994 8357.129 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.14 1.40 0.17 1.16 1.50 0.00 1099 704 Pendreich 65 961 763634.6 4840.155 7.68 V80 2.0 MW 2 11399 4 7.0 4.28 450000 5 0.98 0.14 1.40 1.26 0.90 1.50 1.50 906 704 Carron Main Block 66 995 24832758 37418.91 7.41 V90 3.0 MW 7 47400 21 6.6 3.00 1620000 18 0.14 1.33 1.40 0.14 1.40 1.50 1.50 1121 704 Cairnoch 67 971 6519128 15723.69 7.39 V90 3.0 MW 22 158544 66 6.8 2.99 5220000 58 0.14 1.34 1.40 0.14 1.38 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 1050 704 Callendar Wood 70 946 949522.8 5606.956 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.00 1.40 1.01 0.00 1.50 0.00 1051 704 Lennox 71 947 3057458 14833.85 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.42 1.40 0.70 1.21 1.50 0.00 1156 704 Twechar 72 976 2051116 13809.32 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.58 1.40 1.07 1.21 1.50 0.00 1052 704 Arns/Fannyside 73 948 1804310 9204.305 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.14 1.40 1.40 1.32 1.50 1.50 1053 704 Brackenhirst 74 949 471691.5 3358.871 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.14 1.40 0.70 0.00 1.50 1.50 1074 704 Nether Braco 75 950 1628879 7870.218 7.72 V80 2.0 MW 8 33112 16 6.0 3.79 1620000 18 0.14 1.40 1.40 0.45 1.33 1.50 1.50 1182 704 South Rigg 76 989 771045.4 5182.056 0.00 0 0 0 0 0.0 0.00 0 0 0.70 1.40 1.40 1.00 1.09 1.50 1.50 1158 704 West Dunsyston 77 978 1360955 13054.74 6.78 E44 900kW 1 1359 0.9 6.0 2.37 90000 1 0.14 0.14 1.40 0.70 1.40 1.50 1.50 1159 704 Murdostoun & Mossband 78 979 1963098 10699.79 8.98 V90 3.0 MW 7 53328 21 7.0 7.47 1710000 19 0.98 1.14 1.40 1.40 1.07 1.50 1.50 1160 704 Spoutscross 79 980 295915.1 3831.923 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 0.70 0.00 1.50 1.50 1161 704 Kingshill 82 981 3599955 9512.527 9.44 V90 3.0 MW 14 105817 42 7.0 8.17 3240000 36 0.98 1.40 1.40 1.40 1.26 1.50 1.50 879 704 Forth 85 992 946766.3 9959.492 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.60 1.40 0.34 0.00 1.50 1.50 1162 704 Blacklaw Moss 86 982 198675.1 2936.29 6.64 V90 3.0 MW 1 7618 3 7.0 2.48 270000 3 0.98 0.14 1.40 0.14 0.98 1.50 1.50 1139 704 The Mosses 87 973 2591342 16873.29 7.22 V80 2.0 MW 5 25937 10 6.7 3.58 1080000 12 0.93 0.56 1.40 0.14 1.19 1.50 1.50 1140 704 Campwood 88 974 124451.2 1651.07 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.70 0.00 1.50 1.50 880 704 Heathland/Mountainblaw 89 993 11803949 32015.88 8.00 V90 3.0 MW 38 254016 114 6.6 4.52 8820000 98 0.83 1.40 1.40 0.15 1.22 1.50 1.50 1100 704 Woodmuir 90 962 3675397 14187.87 8.27 V80 2.0 MW 7 30354 14 6.1 5.46 1440000 16 0.70 1.40 1.40 0.53 1.24 1.50 1.50 1181 704 Fauldhouse 93 988 2464487 13378.56 8.62 V80 2.0 MW 3 12417 6 6.0 6.42 630000 7 0.90 1.40 1.40 0.70 1.22 1.50 1.50 1157 704 West Benhar 94 977 2814997 15873.29 8.31 V90 3.0 MW 8 46654 24 6.2 5.92 1980000 22 0.98 0.83 1.40 0.70 1.40 1.50 1.50 1101 704 Selm Muir 97 963 915197.9 7684.901 6.05 V90 3.0 MW 1 5436 3 6.0 1.26 360000 4 0.14 0.14 1.40 1.23 0.14 1.50 1.50 1115 704 Camilty & Buteland 98 964 7844598 35073.78 7.05 V90 3.0 MW 29 166061 87 6.1 3.37 6750000 75 0.31 0.69 1.40 0.39 1.25 1.50 1.50 1116 704 Disposals 99 965 298616.7 4990.501 0.00 0 0 0 0 0.0 0.00 0 0 0.14 0.64 1.40 0.98 0.00 1.50 1.50 397 710 Shalloch 1 367 63609604 50558.58 0.00 0 0 0 0 0.0 0.00 0 0 1.26 0.84 1.40 0.14 1.36 1.50 1.50 491 710 Rowantree 3 385 13989063 19777.39 0.00 0 0 0 0 0.0 0.00 0 0 1.38 1.40 1.40 0.00 1.38 1.50 1.50 403 710 Drumjohn 4 368 27735672 30849.47 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.39 1.40 0.00 1.38 1.50 1.50 382 710 Kirriedarroch 6 402 16119854 31102.4 0.00 0 0 0 0 0.0 0.00 0 0 1.39 0.67 1.40 0.14 1.34 1.50 1.50 369 710 White Clauchrie 9 399 31543517 36108.58 8.72 V90 3.0 MW 58 416335 174 6.8 5.29 13320000 148 1.39 1.40 1.40 0.14 1.38 1.50 1.50 454 710 Minniwick 10 377 6883199 16506.56 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 0.14 1.17 1.50 0.00 467 710 Loch Trool 11 378 31136323 39538.53 7.48 V90 3.0 MW 1 7618 3 7.0 3.03 360000 4 1.40 0.14 1.40 0.14 1.40 1.50 1.50 376 710 Brigton 12 401 34186488 44219.97 7.98 V90 3.0 MW 57 422411 171 6.9 4.53 13140000 146 1.26 0.72 1.40 0.21 1.39 1.50 1.50 384 710 Lamachan 13 404 19475152 21208.31 8.77 V90 3.0 MW 27 204053 81 7.0 6.71 6390000 71 1.14 1.15 1.40 0.68 1.40 1.50 1.50 399 710 Queensway 15 406 33317813 58457.61 8.60 V90 3.0 MW 42 291467 126 6.7 6.39 9810000 109 1.15 0.66 1.40 0.98 1.40 1.50 1.50 375 710 Kirroughtree 16 400 11340523 58896.27 8.04 V80 2.0 MW 4 16556 8 6.0 4.36 900000 10 1.40 0.14 1.40 0.70 1.40 1.50 1.50 383 710 Arecleoch 17 403 34030362 39251.18 7.85 V90 3.0 MW 40 247682 120 6.3 4.39 9360000 104 0.94 0.96 1.40 0.14 1.40 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 425 710 Kilgallioch 19 410 25826580 52998.26 0.00 0 0 0 0 0.0 0.00 0 0 0.85 1.01 1.40 0.14 1.38 1.50 1.50 398 710 Tannylaggie 20 405 21877679 47105.19 7.34 E44 900kW 1 1359 0.9 6.0 3.59 90000 1 0.70 0.14 1.40 0.70 1.40 1.50 1.50 510 710 Penninghame 21 392 36790903 82514.53 0.00 0 0 0 0 0.0 0.00 0 0 0.99 0.37 1.40 0.48 1.29 1.50 0.00 494 710 Glencaird hill 25 388 5013980 14281.15 0.00 0 0 0 0 0.0 0.00 0 0 1.40 1.40 1.40 0.00 1.29 1.50 0.00 409 710 Girvan Road 26 408 10275054 40139.57 0.00 0 0 0 0 0.0 0.00 0 0 1.39 1.39 1.40 0.00 1.35 1.50 0.00 495 710 Merton Hall 27 389 3191799 17874.59 6.95 V80 2.0 MW 2 8278 4 6.0 3.31 450000 5 0.31 0.39 1.40 0.70 1.15 1.50 1.50 354 710 Kilsture 28 394 2036115 15837.19 7.72 V80 2.0 MW 3 13094 6 6.1 5.25 630000 7 0.98 0.86 1.40 0.80 0.68 1.50 1.50 492 710 Moss of Cree 29 386 3535529 11141.07 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.96 1.32 1.50 0.00 355 710 Glenwhan 30 395 6529227 14183.74 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.11 1.40 0.73 1.38 1.50 1.50 357 710 Torrs Warren 31 397 2025732 20029 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.14 1.40 1.34 1.30 1.50 1.50 368 710 Knock of Luce group 32 398 22803793 90296.96 6.72 V90 3.0 MW 82 489171 246 6.2 2.48 18900000 210 0.45 0.16 1.40 0.36 1.35 1.50 1.50 356 710 Auchleand 33 396 2511044 10302.57 0.00 0 0 0 0 0.0 0.00 0 0 1.02 0.94 1.40 1.10 1.14 1.50 0.00 502 710 Fleet Basin 50 391 57802108 66851.46 7.14 V90 3.0 MW 37 214573 111 6.2 2.94 8640000 96 0.98 0.15 1.40 0.21 1.40 1.50 1.50 496 710 Knockbain and outliers 53 390 1464413 6625.826 7.79 V80 2.0 MW 7 38475 14 6.9 4.19 1350000 15 1.40 0.14 1.40 0.70 1.15 1.50 1.50 468 710 Laurieston 56 379 30365892 56114.58 7.70 V90 3.0 MW 62 420878 186 6.6 4.50 14400000 160 0.98 0.53 1.40 0.44 1.35 1.50 1.50 493 710 Round Fell 57 387 13689304 17993.41 7.59 V80 2.0 MW 8 33112 16 6.0 3.95 1530000 17 0.98 0.14 1.40 0.67 1.40 1.50 1.50 479 710 Back Hill of Bush 58 382 51521668 35980.69 7.61 V90 3.0 MW 85 682989 255 7.2 3.71 19530000 217 1.23 0.14 1.40 0.44 1.40 1.50 1.50 424 710 Castlemaddy 59 373 28760367 66262.53 7.06 V80 2.0 MW 3 16446 6 6.9 2.73 630000 7 0.98 0.14 1.40 0.14 1.40 1.50 1.50 435 710 Ben0n 60 374 56365908 54929.27 8.24 V90 3.0 MW 33 179404 99 6.0 5.75 7650000 85 1.02 0.81 1.40 0.63 1.39 1.50 1.50 352 710 Clatteringshaws 65 365 49111359 53285.24 8.50 V90 3.0 MW 31 176119 93 6.1 6.50 7200000 80 0.99 0.80 1.40 0.97 1.34 1.50 1.50 396 710 Gala Lane 66 366 36775811 35243.57 7.59 V90 3.0 MW 40 266160 120 6.6 3.39 9360000 104 1.36 0.14 1.40 0.29 1.40 1.50 1.50 452 710 Carrick Forest Drive 67 375 62685336 48269.12 8.26 V90 3.0 MW 37 201150 111 6.0 4.90 8550000 95 1.11 1.24 1.40 0.14 1.37 1.50 1.50 453 710 Tairlaw 68 376 11016301 27847.25 8.26 V90 3.0 MW 8 43492 24 6.0 4.82 1980000 22 0.98 1.40 1.40 0.14 1.34 1.50 1.50 408 710 Carrick 69 407 38673242 54813.26 7.79 V90 3.0 MW 22 120446 66 6.0 4.38 5130000 57 0.98 0.94 1.40 0.14 1.33 1.50 1.50 404 710 Changue 70 369 23285913 31149.4 8.61 V90 3.0 MW 9 54415 27 6.3 5.20 2250000 25 1.27 1.40 1.40 0.14 1.40 1.50 1.50 410 710 Finlas 71 409 9003057 21216.46 0.00 0 0 0 0 0.0 0.00 0 0 1.13 0.68 1.40 0.42 1.35 1.50 0.00 405 710 Barhill 81 370 161904.3 2854.052 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.70 0.00 1.50 1.50 353 710 Fleet Oak woods 82 393 3079522 23552.28 0.00 0 0 0 0 0.0 0.00 0 0 1.09 0.14 1.40 0.94 0.68 1.50 1.50 477 710 Auchenvey and Garcrogo 84 380 10329210 34907.99 7.90 V90 3.0 MW 1 5436 3 6.0 4.47 270000 3 0.98 1.40 1.40 0.14 0.98 1.50 1.50 478 710 Creetown 86 381 970306.8 13856.6 0.00 0 0 0 0 0.0 0.00 0 0 1.26 0.46 1.40 0.88 0.56 1.50 1.50 480 710 Corriedoo 87 383 4180203 14187.2 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 0.32 1.26 1.50 0.00 481 710 Auldcraigoch 88 384 5810441 13447.85 8.65 V90 3.0 MW 9 51480 27 6.1 6.18 2070000 23 0.75 1.40 1.40 0.70 1.40 1.50 1.50 406 710 Eriff & Bellsbank 89 371 4877786 14524.85 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 1.03 1.26 1.50 0.00 407 710 Disposal 90 372 520.7809 142.4742 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 68 714 Mabie 1 75 10731229 37961.89 8.39 V90 3.0 MW 10 54365 30 6.0 6.31 2340000 26 0.98 1.10 1.40 0.70 1.21 1.50 1.50 67 714 Mark Hill 2 76 1309243 6392.206 6.54 V90 3.0 MW 1 5436 3 6.0 2.64 360000 4 0.98 0.56 1.40 0.14 0.46 1.50 1.50 69 714 Nether Hill 3 77 880559.7 5294.415 7.94 V90 3.0 MW 1 5436 3 6.0 4.96 360000 4 0.98 1.40 1.40 0.70 0.46 1.50 1.50 81 714 Twiglees 4 86 14405230 29577.37 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.28 1.40 0.14 1.33 1.50 1.50 82 714 Castle Oer 5 87 10863459 30103.9 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.34 1.40 0.14 1.20 1.50 1.50 72 714 Screel 6 80 5693728 21635.04 7.87 V90 3.0 MW 9 49783 27 6.0 4.77 2070000 23 0.98 0.39 1.40 0.70 1.40 1.50 1.50 71 714 The Cote 7 79 6172217 20055.55 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.40 1.40 0.00 1.20 1.50 0.00 76 714 Nether Linkins 9 62 3485206 14194.31 8.49 V90 3.0 MW 12 109418 36 7.7 6.43 2790000 31 0.98 1.17 1.40 0.70 1.24 1.50 1.50 77 714 Buittle Hill 10 63 265855.1 2064.981 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 1.40 0.14 1.50 0.00 78 714 Regio0l office 11 64 3003.855 221.5565 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 63 714 Rascarrel Moss 12 71 1678843 9569.952 7.06 V90 3.0 MW 1 5436 3 6.0 2.73 270000 3 0.98 0.14 1.40 0.14 1.40 1.50 1.50 79 714 Dalmacallan 14 65 7034763 16405.35 8.32 V90 3.0 MW 1 5436 3 6.0 4.85 270000 3 0.98 1.40 1.40 0.14 1.40 1.50 1.50 80 714 Queensberry 17 66 18563655 22931.58 8.50 V90 3.0 MW 41 265965 123 6.5 5.09 9540000 106 1.16 1.40 1.40 0.14 1.40 1.50 1.50 60 714 Greskine 18 68 8412665 16815.95 8.32 V80 2.0 MW 5 20695 10 6.0 4.85 1080000 12 0.98 1.40 1.40 0.14 1.40 1.50 1.50 59 714 Old Forest 19 67 17915407 33121.85 8.38 V80 2.0 MW 6 24834 12 6.0 4.94 1260000 14 1.04 1.40 1.40 0.14 1.40 1.50 1.50 89 714 Kirkland 21 83 23170115 48067.3 8.34 V90 3.0 MW 77 518169 231 6.6 4.91 17640000 196 1.03 1.39 1.40 0.14 1.37 1.50 1.50 70 714 Criffel 22 78 2092555 6910.774 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.14 1.27 1.50 0.00 90 714 Clauchrie 24 84 2355184 8217.673 8.68 V90 3.0 MW 7 47714 21 6.6 6.57 1710000 19 0.98 1.40 1.40 0.70 1.20 1.50 1.50 91 714 Longbedholm 25 85 4443951 12205.52 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 0.63 1.12 1.50 0.00 40 714 Craigieburn 26 45 7905999 16959.33 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.09 1.40 0.45 1.37 1.50 1.50 39 714 Southwick 27 44 4980403 13302.19 7.85 V90 3.0 MW 13 146939 39 8.9 4.46 3060000 34 1.01 0.98 1.40 0.14 1.33 1.50 1.50 41 714 Heathhall 28 46 1528485 9467.067 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 0.79 1.40 1.50 0.00 42 714 Auchenroddan 33 47 2943284 8275.903 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.61 1.40 1.40 1.35 1.50 1.50 43 714 Craigielands 34 48 354959.7 4615.892 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.40 1.40 0.93 0.00 1.50 0.00 44 714 Shinnelhead 35 49 8426071 16836.01 8.32 V90 3.0 MW 24 130476 72 6.0 4.85 5670000 63 0.98 1.40 1.40 0.14 1.40 1.50 1.50 45 714 Kinharvie 36 50 19398258 25972.58 8.23 V90 3.0 MW 31 274370 93 7.6 5.01 7290000 81 0.98 1.24 1.40 0.22 1.40 1.50 1.50 46 714 Southwick Station 37 51 634359.7 8410.795 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 1.05 0.14 1.50 1.50 73 714 Euchanhead 38 81 4016824 15926.27 9.03 V80 2.0 MW 9 37251 18 6.0 7.18 1710000 19 0.98 1.40 1.40 0.85 1.40 1.50 1.50 61 714 Cairnhead 39 69 13506030 17182.05 8.39 V90 3.0 MW 23 154346 69 6.6 4.95 5400000 60 1.05 1.40 1.40 0.14 1.40 1.50 1.50 62 714 Blacklaw 43 70 2533437 8408.771 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 0.43 1.35 1.50 0.00 88 714 Brownmoor 44 82 1152799 5198.088 9.42 V90 3.0 MW 3 16309 9 6.0 8.14 720000 8 0.98 1.40 1.40 1.40 1.24 1.50 1.50 50 714 Dalbeettie 45 55 11153328 42588.05 8.22 V90 3.0 MW 17 97346 51 6.1 5.70 4050000 45 0.98 1.00 1.40 0.53 1.32 1.50 1.50 47 714 Rivox 49 52 9789179 16851.76 8.32 E44 900kW 3 4078 2.7 6.0 4.85 180000 2 0.98 1.40 1.40 0.14 1.40 1.50 1.50 48 714 Gledenholm 54 53 1477707 5191.183 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.14 1.29 1.50 0.00 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 64 714 Plascow 58 72 8697809 17539.93 8.85 V90 3.0 MW 34 273823 102 7.2 6.61 8010000 89 0.99 1.40 1.40 0.66 1.40 1.50 1.50 54 714 Burnfoot 59 59 2915221 12951.11 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.40 1.40 0.70 1.40 1.50 1.50 74 714 Garwaldshiels 60 60 12211669 22147.33 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.40 1.40 0.14 1.39 1.50 1.50 75 714 Earshaigs 66 61 11573508 29086.31 0.00 0 0 0 0 0.0 0.00 0 0 1.01 1.40 1.40 0.40 1.32 1.50 0.00 51 714 Garrowgill 84 56 10075463 18525.48 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.30 1.40 0.42 1.36 1.50 1.50 52 714 Lochar Moss 86 57 10874333 33420.76 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.60 1.40 0.78 1.34 1.50 1.50 53 714 Stiddrigs 91 58 9779511 15693.07 0.00 0 0 0 0 0.0 0.00 0 0 1.13 1.40 1.40 0.19 1.37 1.50 0.00 65 714 Little Clyde 92 73 6665680 12883.13 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 0.00 1.36 1.50 1.50 66 714 Lockerbie Hse Wd 96 74 188416.4 1869.944 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.40 1.40 1.40 0.00 1.50 1.50 49 714 Polskeoch 97 54 8181959 16430.98 8.82 V90 3.0 MW 22 150810 66 6.6 6.54 5130000 57 0.98 1.40 1.40 0.64 1.40 1.50 1.50 92 714 Euchanhead South 99 88 3093372 7950.935 9.04 V90 3.0 MW 11 63792 33 6.2 7.23 2700000 30 0.98 1.40 1.40 0.86 1.40 1.50 1.50 1023 715 Shankend 1 941 9540719 29459.85 7.06 E44 900kW 1 1359 0.9 6.0 2.73 90000 1 0.98 1.40 1.40 0.14 0.14 1.50 1.50 1022 715 Whitrope 2 940 15028055 21748.66 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.08 1.40 0.00 1.37 1.50 1.50 1020 715 Wauchope Burn 3 938 15313719 18910.96 0.00 0 0 0 0 0.0 0.00 0 0 0.98 1.00 1.40 0.14 1.38 1.50 1.50 900 715 Hyndlee 4 913 13393580 32716.4 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.79 1.40 0.14 1.35 1.50 0.00 873 715 Lethem 5 917 23375877 29022.29 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.32 1.40 0.00 1.40 1.50 1.50 875 715 Peel 6 919 6464800 15672.09 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.00 1.34 1.50 1.50 980 715 Gair 8 921 7561126 19537.61 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.91 1.40 0.14 1.40 1.50 1.50 876 715 Grey Hill 9 920 7818119 14819.17 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.10 1.40 0.14 1.36 1.50 1.50 1019 715 Craikhope 10 937 8506534 18441.04 0.00 0 0 0 0 0.0 0.00 0 0 0.00 1.39 1.40 0.14 1.32 1.50 1.50 981 715 Meadshaw 11 922 8316485 18285.16 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.35 1.40 0.17 1.37 1.50 1.50 982 715 Crooked Loch 12 923 10343981 16704.27 7.84 V80 2.0 MW 3 12417 6 6.0 3.93 630000 7 1.40 0.50 1.40 0.14 1.40 1.50 1.50 1046 715 Newcastleton 14 942 27364772 34055.31 7.24 V90 3.0 MW 29 161821 87 6.1 3.19 6840000 76 0.98 0.32 1.40 0.14 1.40 1.50 1.50 983 715 Tinnisburn 16 924 10711209 24685.16 7.85 V90 3.0 MW 29 196192 87 6.6 5.05 6660000 74 0.70 0.65 1.40 0.75 1.35 1.50 1.50 984 715 Falside 20 925 5889888 17455.65 6.43 E44 900kW 3 4078 2.7 6.0 2.24 180000 2 0.98 0.14 1.40 0.14 0.77 1.50 1.50 985 715 Swinnie 21 926 1707190 7755.404 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.87 1.40 0.70 1.26 1.50 0.00 986 715 Gamescleuch 25 927 4770130 10599.13 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.14 1.40 0.00 1.14 1.50 1.50 995 715 Yair 30 928 8177579 23973.6 0.00 0 0 0 0 0.0 0.00 0 0 1.12 0.17 1.40 0.77 1.34 1.50 0.00 996 715 Elibank 31 929 10502696 19745.73 8.38 V90 3.0 MW 8 57788 24 6.8 4.94 1980000 22 1.04 1.40 1.40 0.14 1.40 1.50 1.50 1047 715 Traquair 32 943 15285311 25160.55 8.26 V80 2.0 MW 7 44072 14 7.4 4.85 1350000 15 1.01 1.32 1.40 0.14 1.40 1.50 1.50 1048 715 Thornylee 33 944 1216621 4882.57 6.64 E44 900kW 3 4078 2.7 6.0 2.39 180000 2 1.19 0.14 1.40 0.14 0.77 1.50 1.50 1154 715 Caberston 34 911 8398368 18468.09 7.06 E44 900kW 3 4078 2.7 6.0 2.73 180000 2 0.98 0.14 1.40 0.14 1.40 1.50 1.50 1176 715 Cardro0 36 912 7380845 26669.36 7.66 V80 2.0 MW 3 15116 6 6.6 3.83 630000 7 1.22 0.50 1.40 0.14 1.40 1.50 1.50 1049 715 Glentress 37 945 11395096 26701.67 8.16 V90 3.0 MW 16 108924 48 6.6 5.78 3870000 43 1.11 0.76 1.40 0.67 1.22 1.50 1.50 . Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 1 2 3 6 7 8 9 10.00 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 FID FOREST EXTENT BLK OBJECTID SHAPE_AREA SHAPE_LEN ATMGV TurbineTyp NoTurbines EnergyYiel Capacity WindSpeed RANK V_AREA V_CELLS Avi Eco Env Grid Res Topo Wind 874 715 Eshiels 38 918 68988.14 2451.818 0.00 0 0 0 0 0.0 0.00 0 0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 870 715 Cademuir 39 914 1497173 6091.286 0.00 0 0 0 0 0.0 0.00 0 0 1.40 0.14 1.40 0.70 1.32 1.50 0.00 871 715 Hallmanor 40 915 4155253 11514.93 7.31 V80 2.0 MW 2 8278 4 6.0 2.94 450000 5 1.23 0.14 1.40 0.14 1.40 1.50 1.50 872 715 Dollar 41 916 1856643 6532.508 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.00 1.33 1.50 0.00 997 715 Cloich 42 930 10942917 29274.39 8.54 V90 3.0 MW 28 170009 84 6.3 6.47 6480000 72 0.95 1.05 1.40 0.76 1.38 1.50 1.50 1021 715 Leadburn 43 939 93750.4 1589.927 0.00 0 0 0 0 0.0 0.00 0 0 0.70 0.14 1.40 1.40 0.00 1.50 1.50 1000 715 E/W Deans 44 933 592292.2 5357.939 7.28 V80 2.0 MW 2 8278 4 6.0 3.49 450000 5 0.70 0.14 1.40 1.40 0.64 1.50 1.50 998 715 Ladyurd 45 931 2880179 13188.69 8.09 V90 3.0 MW 1 5436 3 6.0 4.68 270000 3 0.98 1.17 1.40 0.14 1.40 1.50 1.50 999 715 Stobo 46 932 1271788 7263.514 7.06 E44 900kW 1 1359 0.9 6.0 2.73 90000 1 0.98 0.14 1.40 0.14 1.40 1.50 1.50 1003 715 Altarstone 47 936 1307263 7202.343 0.00 0 0 0 0 0.0 0.00 0 0 1.10 0.00 1.40 0.14 1.15 1.50 0.00 1001 715 Greenwood 52 934 226305.7 3928.743 0.00 0 0 0 0 0.0 0.00 0 0 0.98 0.14 1.40 0.14 0.00 1.50 1.50 1002 715 Renton 53 935 157911.3 2129.539 7.06 E44 900kW 3 7714 2.7 8.0 2.73 180000 2 0.98 0.14 1.40 0.14 1.40 1.50 1.50 Table 30: Full results listing Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 14 Appendix I – Long Term Planning Success Rates The planning success rate in Great Britain is approximately 65%, which is reflected at a similar level within Scotland (where most of the potential wind sites within the Forestry Commission estates are located) and for all projects with a capacity greater than 40 MW. This analysis is based upon a corrected version of the RESTATS database as of July 2008. If withdrawals are also considered then the success rate is even lower, The Tool has identified that the Forestry Commission potentially has a good portfolio of wind farm sites across a wide geographical area, so it is likely that 65% is an accurate reflection of planning consent success rate, provided the best sites are adressed first. Where withdrawals are plotted those without associated dates are included in July 2008 i.e. this does not signify a sudden dramatic rise in withdrawals. Capacity Number of Sites Approved Refused Total Approved Refused Total . Scotland 3,819 2,093 5,912 117 39 156 65% 35% 100% 75% 25% 100% Capacity >= 40 MW 3,072 1,744 4,816 34 14 48 64% 36% 100% 71% 29% 100% Table 32: Long term wind farm planning success rates, excluding withdrawn planning applications Capacity Number of Sites Approved Refused Withdrawn Total Approved Refused Withdrawn Total . Scotland 3,819 2,093 1,888 7,800 . 117 39 35 191 49% 27% 24% 100% 61% 20% 18% 100% Capacity >= 40 MW 3,072 1,744 2,199 7,015 . 34 14 70 118 44% 25% 31% 100% 29% 12% 59% 100% Table 33: Long term wind farm planning success rates, including withdrawn planning applications 103 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission Scottish Onshore Wind Planning Record Approved Refused Withdrawn 4500 4000 3500 3000 2500 2000 1500 Cumulative Capacity (MW) Capacity Cumulative 1000 500 0 9 0 1 2 3 4 5 6 7 8 9 00 01 02 03 04 05 06 07 8 9 0 198 199 199 199 199 199 199 199 199 199 199 20 20 20 20 20 20 20 20 200 200 201 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 0 0 0 /0 /0 /0 /0 /0 /0 /0 /0 0 0 0 0 0 0 0 0 0 0 0 01/ 01/ 01/ 01 01 01 01 01 01 01 01 01/ 01/ 01/ 01/ 01/ 01/ 01/ 01/ 01/ 01/ 01/ Figure 30: Onshore wind planning record for Scotland, categorised by cumulative capacity. Withdrawls without assigned dates are plotted as if in July 2008. 129 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission Scottish Onshore Wind Planning Record Approved Refused Withdrawn 140 120 100 80 60 Cumulative Capacity (MW) Capacity Cumulative 40 Cumulative Number of Projects of Number Cumulative 20 0 9 0 1 2 3 4 5 6 7 8 99 00 01 02 03 04 05 06 07 08 09 10 98 99 99 99 99 99 99 99 99 99 9 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 2 2 /2 /2 /2 /2 /2 /2 /2 /2 /2 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 /0 /0 /0 /0 /0 /0 /0 /0 /0 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Figure 31: Onshore wind planning record for Scotland, categorised by cumulative number of projects. Withdrawls without assigned dates are plotted as if in July 2008. 130 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 3500 Large (>=40 MW) Onshore Wind Planning Record Approved Refused Withdrawn 3000 2500 2000 1500 1000 Cumulative Capacity (MW) 500 0 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 98 99 99 99 99 99 99 99 99 99 99 00 00 00 00 00 00 00 00 00 00 01 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /2 /2 /2 /2 /2 /2 /2 /2 /2 /2 /2 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Figure 32: Onshore wind planning record for sites in excess of 40MW, categorised by cumulative capacity. Withdrawls without assigned dates are plotted as if in July 2008. 131 Quantification of Renewable Energy (Wind) Potential on the Forestry Commission Estates within Scotland A Report for the Forestry Commission 40 Large (>=40 MW) Onshore Wind Planning Record Approved Refused Withdrawn 35 30 25 20 15 Number of ProjectsNumber 10 5 0 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 98 99 99 99 99 99 99 99 99 99 99 00 00 00 00 00 00 00 00 00 00 01 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /1 /2 /2 /2 /2 /2 /2 /2 /2 /2 /2 /2 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 01 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 1/ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Figure 33: Onshore wind planning record for sites in exces s of 40MW, categorised by cumulative number of projects. Withdrawls without assigned dates are plotted as if i n July 2008. 132