(DUKES), Chapter 6: Renewable Sources of Energy

Total Page:16

File Type:pdf, Size:1020Kb

(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). Renewable Heat Renewable heat increased by 12 per cent due to increases in plant biomass and anaerobic digestion schemes supported by the Renewable Heat Incentive (RHI) The RHI supported 15 per cent of renewable heat in 2016, an increase of 4.0 percentage points on 2015 Introduction 6.1 Energy from renewable sources has been steadily increasing since 2000 as a result of national and international incentives including the EU Renewable Energy Directive which requires the EU as a whole to achieve 20 per cent of its energy from renewable sources by 2020 (the UK’s target is set at 15 per cent) (see the technical annex for a description of the policy context). The UK has a varied mix of renewable technologies including biomass which is a key fuel source in both electricity generation and heat. Wind, solar photovoltaics, hydro and shoreline wave and tidal also contribute to electricity generation and active solar, heat pumps and deep geothermal are used in heat generation (see the technical annex for descriptions of the sources of renewable energy). Liquid biofuels in transport also contribute to the separate RED transport target (for the UK, this is set at 10 per cent). Although solar photovoltaics was the leading technology in 2016 (a third of total capacity), in generation terms, bioenergy accounted for the largest proportion (36 per cent) followed by onshore wind (25 per cent) and offshore wind (20 per cent). 6.2 The renewable energy flow chart on page 154 summarises the flows of renewables from fuel inputs through to consumption for 2016 and includes energy lost in conversion; the data are sourced from the commodity balance table 6.1 and table 6.4 for electricity outputs. 153 Renewables flow chart 2016 (thousand tonnes of oil equivalent) 15 4 Note: This flow chart is based on data that appear in Tables 6.1 and 6.4 Renewable fuel demand (Tables 6.1 and 6.6) 6.3 The commodity balances tables for renewables (tables 6.1 to 6.3) show that a large proportion (83 per cent) of renewable fuel sources are produced domestically, largely due to the local nature of utilising natural resources such as wind, solar and hydro. However, bio energy fuels are transportable and a significant proportion is imported (27 per cent in 2016, including wood and liquid biofuels). Plant biomass showed the largest proportion of imports at 61 per cent, mainly wood pellets for electricity generation. 6.4 The balances also show for the first time, a transfer out from bioenergy. This represents biogas generated from farm waste digestion and injected into the gas grid. This has also been included for 2014 and 2015 as a revision (see paragraph 6.51). The amount transferred is then included as a positive transfer in the natural gas balance of chapter 4 (table 4.1). 6.5 Unlike other fuel sources, the renewables energy balances have zero statistical differences as the data are mostly taken from a single source where there is less likelihood of differences due to timing, measurement, or differences between supply and demand. 6.6 Table 6.6 shows how renewable fuel demand (excluding non-biodegradable waste) by source (i.e. on an input basis1) is split between electricity generation, heat and as a fuel in transport. Excluding non-biodegradable energy from waste, total demand in 2016 increased by 4.3 per cent, to 17,296 ktoe. This growth was due to an increase in bio energy demand, particularly in biodegradable energy from waste and anaerobic digestion used for electricity generation and also plant biomass used for heating purposes. 6.7 In 2016, 72 per cent of renewable energy demand was accounted for by bioenergy with wind accounting for 19 per cent. Chart 6.1 shows a comparison for the key renewables sources; Chart 6.1: Renewable fuel use 2016 1 For combustible fuels used to generate electricity, this refers to the energy value of the fuel source rather than the actual electricity generated. For heat generation and primary electricity sources (solar photovoltaics, wind, hydro, and wave and tidal), the output energy is deemed to be equal to the fuel inputs. 155 6.8 Whilst several renewable technologies are specific to either electricity generation or heat production, combustible fuels are used for both purposes. In 2016, 68 per cent of biomass was used in electricity generation. Chart 6.2 below shows a further breakdown of biomass by source and also how its use is split between heating and electricity generation. Chart 6.2: Biomass fuel use 2016 6.9 Where biofuels are used for generation, a comparison is made in the electricity generation section (paragraph 6.11) between the fuel input split and actual output generation. Comparison of fuel use in heat consumption and electricity generation (Tables 6.6 and 6.4) 6.10 While bioenergy dominates on a fuel input basis (chart 6.1), hydroelectricity, wind power and solar together provide a larger contribution when the output of electricity is being measured as chart 6.3 shows; Chart 6.3: Electricity generation by fuel source 2016 156 This is because on an energy supplied basis the inputs are deemed to be equal to the electricity produced for hydro, wind, wave and solar, i.e. are deemed to be 100 per cent efficient (see Chapter 5, paragraph 5.71). However for landfill gas, sewage sludge, municipal solid waste and other bioenergy sources a substantial proportion of the energy content of the input is lost in the process of conversion to electricity (6,075 ktoe in 2016), as the renewables flow chart (page 154) illustrates. 6.11 Generally growth in bioenergy fuels used in electricity generation will be similar to the growth in output generation unless there is a change in thermal efficiency (the amount of fuel required to produce a unit of electricity). Table 6.1 below shows the comparative growth rates between 2015 and 2016 for bioenergy fuel inputs and generation outputs; Table 6A: Growth in fuel inputs versus generation for bioenergy Growth between 2015 and 2016 Fuel use Generation (table 6.6) (table 6.4) Bioenergy: Landfill gas -3.5% -3.5% Sewage sludge digestion 6.3% 6.3% Biodegradable energy from waste 23.4% 6.0% Co-firing with fossil fuels -34.8% -35.9% Animal Biomass -2.2% 0.4% Anaerobic digestion 39.5% 39.5% Plant Biomass 0.6% 1.3% Total bioenergy 5.0% 2.7% 6.12 For the majority of biofuels, growth in fuel use is similar to generation growth with the exception of energy from waste. This is due to a drop in efficiency between 2015 and 2016. 157 Trends in Overall Electricity Generation and Capacity (table 6.4) 6.13 Although total generation capacity increased between 2015 and 2016 (by 16 per cent to 35.7 MW), generation actually fell (by 0.2 per cent to 83.2 GWh). Charts 6.4 and 6.5 below show the long term trends, highlighting 2016 as the first year to show a decrease (although generation supported by the Renewables Obligation showed an increase, by 0.8 per cent, table 6.4); Chart 6.4: Electrical generating capacity of renewable energy plant (1) All waste combustion plant is included because both biodegradable and non-biodegradable wastes are burned together in the same plant. (2) Hydro includes both large scale and small scale, and shoreline wave (13.5 MW in 2016). Chart 6.5: Electricity generation by main renewable sources 158 6.14 The fall in generation in 2016 is due to lower wind and hydro generation; wind speeds were considerably lower than in 2015 and rainfall (in the main catchment areas) was also comparatively low. This is despite an increase in wind generation capacity, mostly in onshore wind which increased by 18 per cent to 10.9 GW, ahead of closure of the Renewables Obligation (RO) on 31 March 2017 (see para 6.57). Hydro generating capacity also increased; although large scale capacity is fairly stable, small scale increased by 20 per cent though from a small base (0.3 GW).
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]
  • Electric Power Business—Characteristics and Strengths Wholesale Electric Power Business Thermal Power
    Electric Power Business—Characteristics and Strengths Wholesale Electric Power Business Thermal Power (Matsushima Thermal Power Plant, Nagasaki Prefecture; Maximum capacity: 500 MW x2). We have also enjoyed substantial economies of scale by pioneering the build- ing of large-scale coal-fired power plants. Coal is a natural resource found in abundance throughout the world and is arguably the most economically stable fossil fuel available. This has become even more noticeable in light of the significant volatility in oil prices in recent times. These strengths contribute to the formation of attractive rates, and our long-term contracts with Tachibanawan Thermal Power Plant (Tokushima Prefecture) EPCOs, generate synergetic effects for forming a stable J-POWER’s key strength in thermal power generation is earnings foundation. our focus on coal-fired power generation, which has As of March 31, 2009, we operate seven coal-fired strong cost competitiveness and fulfills base demand for power plants with a total capacity of 7,812 MW, electricity with a high load factor. We have long main- representing 21% of the coal-fired power generation tained the number one share in coal-fired power facilities in Japan. For fuel, we procure coal from several generation capacity since becoming the first company in countries, mainly from Australia, based on long-term or Japan to use overseas coal in a thermal power plant yearly contracts. SHARE OF COAL-FIRED POWER GENERATION CAPACITY LARGE-SCALE COAL-FIRED UNIT CAPACITY AND FIRST YEAR OF (As of March 31, 2009) OPERATION ● J-POWER Generation capacity (MW) n Others 1,250 TACHIBANAWAN NO.
    [Show full text]