Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus

Total Page:16

File Type:pdf, Size:1020Kb

Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus energies Article Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus Rajavelu Dharani 1, Madasamy Balasubramonian 1, Thanikanti Sudhakar Babu 2 and Benedetto Nastasi 3,* 1 Department of Electrical and Electronics Engineering, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, India; [email protected] (R.D.); [email protected] (M.B.) 2 Department of Electrical Power Engineering, Institute of Power Engineering, Universiti Tenaga National (UNITEN), Kajang, Malaysia; [email protected] 3 Department of Planning, Design, and Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, Italy * Correspondence: [email protected] Abstract: This paper analyzes the intelligent use of time-varying electrical load via developing efficient energy utilization patterns using demand-side management (DSM) strategies. This approach helps distribution utilities decrease maximum demand and electrical energy billing costs. A case study of DSM implementation of electric energy utility for an educational building Alagappa Chettiar Government College of Engineering and Technology (ACGCET) campus was simulated. The new optimum energy load model was established for peak and off-peak periods from the system’s existing load profile using peak clipping and load shifting DSM techniques. The result reflects a significant reduction in maximum demand from 189 kW to 170 kW and a reduction in annual electricity billing cost from $11,340 to $10,200 (approximately 10%) in the upgraded system. This work highlights the importance of time of day (TOD) tariff structure consumers that aid reduction in their distribution system’s maximum demand and demand charges. Citation: Dharani, R.; Keywords: building energy flexibility; HOMER software; peak clipping; load shifting; energy saving Balasubramonian, M.; Babu, T.S.; Nastasi, B. Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University 1. Introduction Campus. Energies 2021, 14, 558. The rising energy demands of further population and industrial growth, shortage of https://doi.org/10.3390/en14030558 fuel for power plants, and increasing costs of electrical energy require a more advanced, secure power system structure all over the world for economic growth [1] and satisfaction Received: 8 December 2020 of energy consumers as well as conceiving innovative technologies [2]. This leads to a Accepted: 19 January 2021 higher value of energy required to supply the needs of industrial, commercial, and all Published: 22 January 2021 other categories of end-user [3]. Like in most of the countries, India also encourages the initiate energy efficiency activities (Energy conservation Act 2001) based on Japan’s Energy Publisher’s Note: MDPI stays neutral Conservation (EC) Guidelines through Bureau of Energy Efficiency (BEE), which is an with regard to jurisdictional claims in agency of the Indian Minister of Energy. Activities carried out to prepare EC guidelines are published maps and institutional affil- (i) performance audits and sectoral study reports, (ii) original equipment manufacturers, iations. (iii) industries, (iv) sectoral experts, (v) stakeholder consultations with industries and industry associations, and (vi) secondary sources such as relevant websites. It provides direction for the preparation of its own “Energy Management planning Handbook” for the efficient operation of various types of energy consumer such as commercial, industrial, Copyright: © 2021 by the authors. and educational institute buildings. The main components of the guidelines are man- Licensee MDPI, Basel, Switzerland. agement and control; it plays a vital role in the energy conservation process in India [4]. This article is an open access article As result of the follow-up to these guidelines, the actual power deficit was reduced from distributed under the terms and 0.6% to 0.5% for the financial year 2019–2020, and the peak power deficit was reduced from conditions of the Creative Commons 0.8% to 0.7%, as reported by the Central Electricity Authority (CEA) [5]. Figure1 shows Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ the present Indian Energy scenario: power generation and peak demand deficit. In this 4.0/). scenario, to further reduce the deficit like other developing countries, a simple and cheap Energies 2021, 14, 558. https://doi.org/10.3390/en14030558 https://www.mdpi.com/journal/energies Energies 2021, 14, x FOR PEER REVIEW 2 of 16 Energies 2021, 14, 558 from 0.8% to 0.7%, as reported by the Central Electricity Authority (CEA) [5]. Figure2 of 16 1 shows the present Indian Energy scenario: power generation and peak demand deficit. In this scenario, to further reduce the deficit like other developing countries, a simple and cheapalternative alternative is essential is essential to provide to provide reliable reliable electricity electricity service andservice to attain and to the attain objective the objec- of tivebecoming of becoming a nation a nation of surplus of surplus electricity electric for theity growth for the ofgrowth a country’s of a country’s economy economy [6]. [6]. Figure 1. Present Indian Energy scenario: power generation and peak demand deficit from 2009–2021 as per the Central Figure 1. Present Indian Energy scenario: power generation and peak demand deficit from 2009–2021 as per the Central Electricity Authority (CEA). Electricity Authority (CEA). The continued growth and development of new power plants in particular of renew- ableThe energy continued plant units growth can and minimize development the gap of between new power supply plants and in demand. particular However, of renew- ablethe energy integration plant of units renewable can minimize electricity the generation gap between systems supply in and most demand. countries However, is impos- the integrationsible because of ofrenewable resource restrictionselectricity generation like wind, solarsystems radiation, in most and countries storage capacityis impossible or becauselocal geographical of resource limitationrestrictions for like energy wind, harvesting solar radiation, [7,8]. To and control storage this capacity status, a well-or local geographicaldeveloped form limitation of a power for managementenergy harvesting system [7,8]. is essential To control to provide this status, for the a continued well-devel- opedsupply form and of tradea power of electricity management in a country.system is The essential power to management provide for systemthe continued is classified supply andinto trade two of main electricity categories in a such country. as supply-side The power management management and system demand-side is classified manage- into two mainment categories (DSM) [9]. such The firstas supply-side one focuses ma onnagement enhancing and the operatingdemand-side efficiency management of electricity (DSM) [9].production, The first one transmission focuses on and enhancing distribution. the Aop mainlyerating efficientefficiency generation of electricity of energy production, at a transmissionminimum cost, and by distribution. meeting the A energy mainly demand efficient without generation adding of energy a new at plant, a minimum decreases cost, the impact on the environment by operating the electricity system efficiently [10]. On the by meeting the energy demand without adding a new plant, decreases the impact on the other hand, DSM deal with consumers/utilities load levels and usage models and it is environment by operating the electricity system efficiently [10]. On the other hand, DSM insensitive to external factors. Therefore, for the past few decades, many countries decided dealto implement with consumers/utilities energy conservation load levels activities and mainly usage models through and the it DSM is insensitive approach to in external addi- factors.tion with Therefore, other simple for the approaches past few suchdecades, as using many energy-efficient countries decided equipment/appliances, to implement energy conservationsmart power activities strips, and mainly setting through up a programmable the DSM approach or intelligent in addition thermostat with inother various simple approachestypes of consumers such as using by giving energy-efficient contributions equipment/appliances, in electricity bill tariffs andsmart offer power energy strips, moti- and settingvation up programs a programmable that help make or intelligent energy efficiency thermostat a more in affordable various types and easy of consumers model [11]. by givingAmong contributions these, a lot of in research electricity focused bill ontariff thes DSMand approachoffer energy in terms motivation of load controlprograms tech- that helpniques, make economical energy efficiency benefits, a effects more onaffordable various kindsand easy of consumers, model [11]. role Among in the these, electricity a lot of researchmarket, impactfocused on on the the power DSM system approach reliability, in te etc.rms [ 12of– load15]. It control is implemented techniques, with economical exciting benefits,outcomes effects in different on various countries. kind DSMs of consumers, is has been demonstratedrole in the electricity as an essential market, strategy impact to on theachieve power energy system conservation reliability, andetc. to[12–15]. reduce It emissions is implemented in many with studies exciting in China outcomes [16]. It also in dif- ferentplays countries. a leading roleDSM in is real-time has been electricity demonstrat
Recommended publications
  • NRS 058: Cost of Supply Methodology
    NRS 058(Int):2000 First edition reconfirmed Interim Rationalized User Specification COST OF SUPPLY METHODOLOGY FOR APPLICATION IN THE ELECTRICAL DISTRIBUTION INDUSTRY Preferred requirements for applications in the Electricity Distribution Industry N R S NRS 058(Int):2000 2 This Rationalized User Specification is issued by the NRS Project on behalf of the User Group given in the foreword and is not a standard as contemplated in the Standards Act, 1993 (Act 29 of 1993). Rationalized user specifications allow user organizations to define the performance and quality requirements of relevant equipment. Rationalized user specifications may, after a certain application period, be introduced as national standards. Amendments issued since publication Amdt No . Date Text affected Correspondence to be directed to Printed copies obtainable from South African Bureau of Standards South African Bureau of Standards (Electrotechnical Standards) Private Bag X191 Private Bag X191 Pretoria 0001 Pretoria 0001 Telephone: (012) 428-7911 Fax: (012) 344-1568 E-mail: [email protected] Website: http://www.sabs.co.za COPYRIGHT RESERVED Printed on behalf of the NRS Project in the Republic of South Africa by the South African Bureau of Standards 1 Dr Lategan Road, Groenkloof, Pretoria 1 NRS 058(Int):2000 Contents Page Foreword ................................................................................................................................ 3 Introduction............................................................................................................................
    [Show full text]
  • Bioenergy's Role in Balancing the Electricity Grid and Providing Storage Options – an EU Perspective
    Bioenergy's role in balancing the electricity grid and providing storage options – an EU perspective Front cover information panel IEA Bioenergy: Task 41P6: 2017: 01 Bioenergy's role in balancing the electricity grid and providing storage options – an EU perspective Antti Arasto, David Chiaramonti, Juha Kiviluoma, Eric van den Heuvel, Lars Waldheim, Kyriakos Maniatis, Kai Sipilä Copyright © 2017 IEA Bioenergy. All rights Reserved Published by IEA Bioenergy IEA Bioenergy, also known as the Technology Collaboration Programme (TCP) for a Programme of Research, Development and Demonstration on Bioenergy, functions within a Framework created by the International Energy Agency (IEA). Views, findings and publications of IEA Bioenergy do not necessarily represent the views or policies of the IEA Secretariat or of its individual Member countries. Foreword The global energy supply system is currently in transition from one that relies on polluting and depleting inputs to a system that relies on non-polluting and non-depleting inputs that are dominantly abundant and intermittent. Optimising the stability and cost-effectiveness of such a future system requires seamless integration and control of various energy inputs. The role of energy supply management is therefore expected to increase in the future to ensure that customers will continue to receive the desired quality of energy at the required time. The COP21 Paris Agreement gives momentum to renewables. The IPCC has reported that with current GHG emissions it will take 5 years before the carbon budget is used for +1,5C and 20 years for +2C. The IEA has recently published the Medium- Term Renewable Energy Market Report 2016, launched on 25.10.2016 in Singapore.
    [Show full text]
  • Technical and Economic Aspects of Load Following with Nuclear Power Plants
    Nuclear Development June 2011 www.oecd-nea.org Technical and Economic Aspects of Load Following with Nuclear Power Plants NUCLEAR ENERGY AGENCY Nuclear Development Technical and Economic Aspects of Load Following with Nuclear Power Plants © OECD 2011 NUCLEAR ENERGY AGENCY ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT Foreword Nuclear power plants are used extensively as base load sources of electricity. This is the most economical and technically simple mode of operation. In this mode, power changes are limited to frequency regulation for grid stability purposes and shutdowns for safety purposes. However for countries with high nuclear shares or desiring to significantly increase renewable energy sources, the question arises as to the ability of nuclear power plants to follow load on a regular basis, including daily variations of the power demand. This report considers the capability of nuclear power plants to follow load and the associated issues that arise when operating in a load following mode. The report was initiated as part of the NEA study “System effects of nuclear power”. It provided a detailed analysis of the technical and economic aspects of load-following with nuclear power plants, and summarises the impact of load-following on the operational mode, fuel performance and ageing of large equipment components of the plant. 3 Acknowledgements Valuable comments and contributions were received from Mr. Philippe Lebreton, Electricité de France, Dr. Holger Ludwig, Areva GMBH, Dr. Michael Micklinghoff, E.ON Kernkraft and Dr. M.A.Podshibyakin, OKB “GIDROPRESS”. This report was prepared by Dr. Alexey Lokhov of the NEA Nuclear Development Division. Detailed review and comments were provided by Dr.
    [Show full text]
  • An Analysis of Load Factors in Generation Power Plants
    Does vertical integration have an effect on load factor? – A test on coal-fired plants in England and Wales N° 2006-03 February 2006 José A. LÓPEZ Électricité de France Evens SALIES OFCE Does vertical integration have an effect on load factor? – A test on coal-fired plants in England and Wales * José A. LÓPEZ** Électricité de France Evens SALIES*** OFCE Abstract Today in the British electricity industry, most electricity suppliers hedge a large proportion of their residential customer base requirements by owning their own plant. The non-storability of electricity and the corresponding need for an instantaneous matching of generation and consumption creates a business need for integration. From a sample of half-hour data on load factor for coal-fired power plants in England and Wales, this paper tests the hypothesis that vertical integration with retail businesses affects the extent to which producers utilize their capacity. We also pay attention to this potential effect during periods of peak demand. Keywords: panel data, vertical integration, electricity supply. JEL Classification:C51, L22, Q41. * Acknowledgements: we thank Guillaume Chevillon, Lionel Nesta and Vincent Touzé for their comments and suggestions. The authors are solely responsible for the opinion defended in this paper and errors. ** [email protected]; *** [email protected], corresponding author. Table of contents 1 Introduction ....................................................................................................... p. 1 2 Vertical integration as a natural structure in an industry subject to particularities..................................................................................................... p. 4 2.1 Fragmentation of UK coal-fired electricity generation capacity....................p. 4 2.2 Drivers behind vertical integration.................................................................p. 4 2.2.1 Hedging customers .............................................................................p.
    [Show full text]
  • Understanding Load Factor Implications for Specifying Onsite Generators
    tecHnical article Understanding load factor implications for specifYing onsite generators One of the important steps in sizing generator sets for any application is to determine the application’s average load factor. Understanding this parameter is essential not only for proper power system sizing but also for operability and reliability. By ISO-8528-1 limits the 24-hour average load factor average load factor. It also suggests strategies to Brandon Kraemer on most standby generator sets to 70 percent of ensure backup power availability during extended Application Engineering Supervisor MTU Onsite Energy Corporation nameplate capacity. For utility outages lasting a utility outages and in applications with minimal few minutes or a few hours, one or two times a load profile variability. year, standby generator sets are designed to be loaded to 100 percent of nameplate capacity for the duration of the outage. However, if an outage average load factor lasts days instead of hours and figUre 1. average load factor the standby power system is The average load factor of a power system is loaded to 100 percent of its determined by evaluating the amount of load and nameplate capacity, it is likely the amount of time the generator set is operating that the 24-hour average load at that load. Since the loads are normally variable, 90 will exceed the power system’s the result is found by calculating multiple load 80 design parameters. levels and time periods. See Figure 1 for a graph 70 % of rated power (P) 70 of a hypothetical standby load profile: 60 While running a generator 50 set at an average load factor In Figure 1, the 24-hour average load factor is over 70 percent is unlikely to derived from the formula shown under the graph, result in a catastrophic failure where P is power in kW and t is time.
    [Show full text]
  • IPGCL MYT Petition for the Period FY 07-08 to FY 10-11 46C401E1
    IPGCL MYT Petition for the Period FY 07-08 to FY 10-11 BEFORE THE DELHI ELECTRICITY REGULATORY COMMISSION Filing No: Case No. : IN THE MATTER OF Filing of Multi Year Tariff Petition under section 62 of the Electricity Act, 2003 for determination of Generation Tariff for the Financial Year FY 2007-08 to FY 2010-11 and truing up for FY 2006-07. AND IN THE MATTER OF Indraprastha Power Generation Company Limited “Himadri”, Rajghat Power House Complex, New Delhi - 110002 PETITIONER THE APPLICANT ABOVE NAMED RESPECTFULLY SUBMITS 46C401E1-6D3D-084570.doc Page 1 of 51 IPGCL MYT Petition for the Period FY 07-08 to FY 10-11 Table of Contents Chapter 1 : Background..............................................................................................4 1.1 Introduction.....................................................................................................4 1.2 Brief Company Profile ...................................................................................4 Chapter 2 : Submissions ...............................................................................................6 2.1 Submission Plan ..............................................................................................6 2.2 Financial Viability of IPGCL and prayer to the Commission.................6 Chapter 3 : Estimation of Plant wise Variable & Fixed Cost...............................14 3.1 Estimation of Variable Cost .......................................................................14 3.1.1 Norms for Operation............................................................................14
    [Show full text]
  • Battery Energy Storage System for Peak Shaving and Voltage Unbalance Mitigation
    International Journal of Smart Grid and Clean Energy Battery energy storage system for peak shaving and voltage unbalance mitigation Kein Huat Chua*, Yun Seng Lim, Stella Morrisa Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Genting Klang, 53300, Kuala Lumpur, Malaysia Abstract Over the last decade, the battery energy storage system (BESS) has become one of the important components in smart grid for enhancing power system performance and reliability. This paper presents a strategy to shave the peak demand and mitigate the voltage unbalance of the electrical networks using a BESS. The BESS is developed to reduce the peak demand and consequently the electricity bill of customers. With the foreseeable large use of BESS, the stress of utility companies can be reduced during high peak power demands. BESS is also equipped with the ability to mitigate voltage unbalance of the network. This indirectly improves the efficiency which in turn, prolongs the life span of three phase machines. The proposed strategy to control BESS has been developed by using the LabVIEWTM graphical programming software. An experimental test bed has been setup at the Universiti Tunku Abdul Rahman (UTAR) campus to evaluate the performance of the system. The experimental results show that the BESS can effectively restrict the power demand from exceeding the pre-determined value and suppress the voltage unbalance factor within the recommended value. Keywords: Battery energy storage system, peak demand shaving, voltage unbalance 1. Introduction Power demand varies from time to time in accordance with customers’ activities. To ensure that the varying power demand is met at all times, smaller capacity power plants such as gas power plants are usually used as standby plants during the peak demand hours.
    [Show full text]
  • U.S. Electric Company Investment and Innovation in Energy Storage Leading the Way U.S
    June 2021 Leading the Way U.S. Electric Company Investment and Innovation in Energy Storage Leading the Way U.S. ELECTRIC COMPANY INVESTMENT AND INNOVATION IN ENERGY STORAGE Table of Contents CASE STUDIES CenterPoint Energy (In alphabetical order by holding company) 14 Solar Plus Storage Project AES Corporation Consolidated Edison Company of New York AES Indiana 15 Commercial Battery Storage 1 Harding Street Station Battery (Beyond Behind-the-Meter) Energy Storage System 16 Gateway Center Mall Battery 17 Ozone Park Battery Alliant Energy Dominion Energy 2 Decorah Energy Storage Project 3 Marshalltown Solar Garden and Storage 18 Bath County Pumped Storage Station 4 Sauk City Microgrid 5 Storage System Solar Demonstration Project DTE Energy 6 Wellman Battery Storage 19 EV Fast Charging-Plus-Storage Pilot Ameren Corporation Duke Energy Ameren Illinois 20 Rock Hill Community 9 MW Battery System 7 Thebes Battery Project 21 Camp Atterbury Microgrid 22 Nabb Battery Site Avangrid New York State Electric & Gas Edison International 8 Aggregated Behind-the-Meter Energy Storage Southern California Edison 9 Distribution Circuit Deployed Battery 23 Alamitos Energy Storage Storage System Pilot Project 24 Ice Bear 25 John S. Eastwood Pumped Storage Plant Rochester Gas & Electric Corporation 26 Mira Loma Substation Battery Storage Project 10 Integrated Electric Vehicle Charging & Battery Storage System Green Mountain Power 11 Peak Shaving Pilot Project 27 Essex Solar and Storage Microgrid 28 Ferrisburgh Solar and Storage Microgrid Berkshire Hathaway Energy 29 Milton Solar and Storage Microgrid MidAmerican Energy Company Hawaiian Electric Companies 12 Knoxville Battery Energy Storage System 30 Schofield Hawaii Public Purpose Microgrid PacifiCorp – Rocky Mountain Power 13 Soleil Lofts Virtual Power Plant i Leading the Way U.S.
    [Show full text]
  • Press Release Re Conclusion of State of NY Public Svc Commission
    THURSDAY AM DECEMBER 4, 1969 PSC CONCLUDES INVESTIGATION OF CON ED ELECTRIC SUPPLY New York, Dec. 3 The Public Service Commnission announced today the conclusion of its investigation of the pas t and future power supply situation in the territory served by'Consolidated Edison Company of New York, Inc., with .the approval of a 14,000-word opinion by Commissioner: John T. Ryan which after a review of the power situation in New York City and Westchester for 1969 and future years found ° 1. Con Ed did not have a sufficient reserve capacity in 1969 with a resultant requirement that it reduced voltage on several days, requested large power users to curtail consumption on four days and made similar requests to the general public on three days. 2. The company's power deficiency situation- "on any of those days was not sufficiently grave to warrant fear on the par-t of the public that a 'blackout' was imminent. No such 'blackout' occurred," 3. Due to its inability to complete construction of proposed additions to its generating facilities, Con Ed "may be unable (part-icu-larly in the first part of the summer of 1970) to supply all demands made upon it by all of its customers without again reducing voltage, shedding load or by the use of other means." 4. Con Ed's Revised Ten Year Plan "would appear to be adequate to meet the demands of its customers for power in future yea-rs- -doveo6d by the plan if it is able to carry it out as.scheduled,". somethihg it has been prevented from doing in the past.
    [Show full text]
  • Chapter 10, Peak Demand and Time-Differentiated Energy
    Chapter 10: Peak Demand and Time-Differentiated Energy Savings Cross-Cutting Protocols Frank Stern, Navigant Consulting Subcontract Report NREL/SR-7A30-53827 April 2013 Chapter 10 – Table of Contents 1 Introduction .............................................................................................................................2 2 Purpose of Peak Demand and Time-differentiated Energy Savings .......................................3 3 Key Concepts ..........................................................................................................................5 4 Methods of Determining Peak Demand and Time-Differentiated Energy Impacts ...............7 4.1 Engineering Algorithms ................................................................................................... 7 4.2 Hourly Building Simulation Modeling ............................................................................ 7 4.3 Billing Data Analysis ....................................................................................................... 8 4.4 Interval Metered Data Analysis ....................................................................................... 8 4.5 End-Use Metered Data Analysis ...................................................................................... 8 4.6 Survey Data on Hours of Use .......................................................................................... 9 4.7 Combined Approaches ..................................................................................................... 9
    [Show full text]
  • Assessing the Flexibility of Coal-Fired Power Plants for the Integration of Renewable Energy in Germany
    Assessing the flexibility of coal-fired power plants for the integration of renewable energy in Germany October 2019 2 / 70 Table of contents Executive summary 7 1 The flexibility challenge 11 1.1 Flexibility requirements: The demand side 14 1.2 Flexibility options: The supply side 18 2 Coal-fired power plants and their flexibility characteristics 21 2.1 Basics of coal-fired power plants 21 2.2 Operational flexibility of thermal power plants 22 3 Assessing the flexibility provision from coal-fired power plants in Germany 27 3.1 Framing the quantitative analysis 27 3.2 The historical perspective 30 3.2.1 The electricity market and the energy transition 30 3.2.2 The coal-fired power plant fleet at a glance 31 3.2.3 Methodology of the simulations 34 3.2.4 Insights from 2015 and 2018 36 3.3 A prospective view 40 3.3.1 Methodology of the simulations 40 3.3.2 Assessing a power system with large shares of variable renewable energies 41 3.3.3 A focus on mid-term flexibility 47 3.3.4 A focus on thermal storage retrofits 52 3.4 Discussion of results 58 Appendix A 60 Appendix B 61 Appendix C 62 References 64 Disclaimer – Limits and scope of our intervention This report (hereinafter "the Report") was prepared by Deloitte Finance, an entity of the Deloitte network, at the request of Verein der Kohlenimporteure e.V. (hereinafter “VDKi”) according to the scope and limitations set out below. The Report may be made public, in its entirety and without any change in form or substance, under the sole responsibility of VDKi.
    [Show full text]
  • (DUKES), Chapter 6: Renewable Sources of Energy
    Chapter 6 Renewable sources of energy Key points Progress against the Renewable Energy Directive (RED) target In 2016, 8.9 per cent of total energy consumption came from renewable sources; up from 8.2 per cent in 2015. Renewable electricity represented 24.6 per cent of total generation; renewable heat 6.2 per cent of overall heat; and renewables in transport, 4.5 per cent. The UK has now exceeded its third interim target; averaged over 2015 and 2016, renewables achieved 8.5 per cent against its target of 7.5 per cent Trends in generation Electricity generation (table 6.4) in the UK from renewable sources fell marginally by 0.2 per cent between 2015 and 2016, to 83.2 TWh. Lower rainfall and wind speeds resulted in lower hydro and wind generation, more than offsetting a 16 per cent increase in total capacity, to 35.7 GW in 2016 (table 6.4). For the second year running, solar photovoltaics were the leading technology in capacity terms at 11.9 GW, representing a third of total electricity capacity. This resulted in a 38 per cent increase in generation (table 6.4). Onshore wind generation fell by 8.4 per cent to 21.0 TWh and offshore fell by 5.8 per cent to 16.4 GWh. Wind speeds were lower than in 2015 which had been the highest in fifteen years, more than offsetting additional capacity for both onshore and offshore winds (table 6.4). Generation from hydro sources fell by 14 per cent to 5.4 TWh in 2016, although 2015 had seen the second highest rainfall during the preceding 15 years (table 6.4).
    [Show full text]