1) Britain's energy policies are heavily influenced by the Climate Change Act of 2008 and the EU's Renewables Directive of 2009. These commitments require draconian cuts in greenhouse gas emissions and sourcing 15% of energy from renewables by 2020, adding significantly to business energy costs.
2) Britain's CO2 emissions make up only about 1.5% of the global total, and other major emitters like China and India have no plans to cut emissions, so Britain's efforts will have a negligible impact on global emissions.
3) Estimates of electricity generation costs show that coal is currently the cheapest option, but including carbon costs, gas is cheapest for new projects, while nuclear is che
The UK government's 2003 Energy White Paper aims to reduce carbon dioxide emissions 60% by 2050, maintain reliable energy supplies, promote competitive energy markets, and ensure affordable home heating. It focuses on cleaner energy sources like renewables and combined heat and power. However, targets for emissions reductions and renewable energy contributions may be difficult to achieve and could conflict with maintaining an open energy market. While energy efficiency is seen as the best way to meet objectives, regulations around emissions trading, building codes, and renewable energy targets may impact business costs and flexibility significantly. Environmental considerations have strongly influenced energy policy formation but pragmatic, non-ideological approaches are recommended going forward.
The document is COGEN Europe's response to the European Commission's Green Paper on energy policy. It supports the Green Paper's goal of establishing a sustainable and secure energy future for Europe. COGEN Europe argues that Europe should prioritize energy efficiency, cogeneration, and renewables. Specifically, it proposes that all new power investments be located on existing heat loads to facilitate cogeneration. COGEN Europe believes this integrated approach focusing on efficiency and decentralization will provide Europe with the cheapest and most sustainable energy system.
This document summarizes the key points from a report on the cost of power generation from renewable and traditional technologies. It covers the following main topics:
1. It introduces the concepts of capital cost and levelized cost of electricity as the two fundamental yardsticks used to compare generation costs. However, it notes limitations in accounting for risk.
2. It discusses how risk, volatility, and liberalized electricity markets have introduced new sources of risk for generation investments from factors like fuel price fluctuations. Portfolio management tools are now being used to manage these risks.
3. Historical cost data and trends are examined to understand past predictions and learn lessons that can inform future projections. Technology learning curves also reveal how costs change
This document discusses the need for the EU to establish renewable energy targets beyond 2020 when the current targets expire. Several stakeholders argue that a binding 45% renewable energy target for 2030 is needed to provide long-term policy stability and incentives for continued investment in renewable technologies. The EU has already committed to reducing greenhouse gas emissions 80-95% by 2050 but intermediary targets are required to achieve this goal. A 2030 target would help ensure the transition to a fully renewable electricity system by mid-century. Wind energy deployment has consistently exceeded expectations in Europe and could contribute 50% of renewable electricity by 2050 if supported by clear long-term policy signals.
This document provides a summary of a report on the economic impacts of Germany's promotion of renewable energies. It finds that Germany's feed-in tariff subsidy scheme has failed to ensure a cost-effective introduction of renewables. The net costs of subsidies for solar and wind energy between 2000-2010 are estimated to be over 70 billion euros, with consumer electricity prices increasing by 7.5% on average. Subsidies for solar in particular exceed the social costs of carbon emissions reductions through other means by over 50 times. While renewable capacity and production have increased, the policy lacks benefits for climate change, employment, energy security, or innovation.
This document discusses the effect of wind generation on combined heat and power (CHP) plants in Ireland. It finds that high levels of wind penetration can negatively impact the profitability of CHP in two key ways:
1) Increased wind lowers wholesale electricity prices during times of high wind output, reducing the revenue of CHP plants. Wholesale prices were found to be 21% lower on average under a scenario with 30% wind versus 10% wind.
2) Lower wholesale prices lead to a 19% reduction in gross savings for a model 1MWe CHP plant under high wind (30%) compared to low wind (10%).
3) However, the negative impacts of wind can be partially
The document discusses factors that determine the cost of electricity generation from different types of power plants. It analyzes construction costs, fuel costs, government incentives, and emissions controls for various conventional and renewable power plants. The lowest cost options are pulverized coal, natural gas combined cycle, and geothermal plants, which have costs around $60 per megawatt-hour. Wind, integrated gasification combined cycle coal, and nuclear plants have higher costs in the $80 per megawatt-hour range due to their high capital costs and financing charges. The natural gas combined cycle plant currently provides low-cost electricity generation throughout the United States.
The document discusses Malaysia's reliance on fossil fuels like coal, oil and gas for energy generation and the issues with this approach. It notes that fossil fuels and coal currently dominate 95% of energy generation. It outlines Malaysia's energy timeline and generation mix in 2010. The document discusses challenges like fluctuating oil and gas prices, gas supply shortages, and needing to import coal. It states that Green Constitutes aims to help clients save energy, money and benefit the environment by providing energy efficiency and renewable energy solutions. Key areas of focus are buildings, industry and data centers which account for a large portion of energy usage and greenhouse gas emissions. The company contributes solutions in areas like energy auditing, passive efficiency upgrades, active efficiency optimization
The UK government's 2003 Energy White Paper aims to reduce carbon dioxide emissions 60% by 2050, maintain reliable energy supplies, promote competitive energy markets, and ensure affordable home heating. It focuses on cleaner energy sources like renewables and combined heat and power. However, targets for emissions reductions and renewable energy contributions may be difficult to achieve and could conflict with maintaining an open energy market. While energy efficiency is seen as the best way to meet objectives, regulations around emissions trading, building codes, and renewable energy targets may impact business costs and flexibility significantly. Environmental considerations have strongly influenced energy policy formation but pragmatic, non-ideological approaches are recommended going forward.
The document is COGEN Europe's response to the European Commission's Green Paper on energy policy. It supports the Green Paper's goal of establishing a sustainable and secure energy future for Europe. COGEN Europe argues that Europe should prioritize energy efficiency, cogeneration, and renewables. Specifically, it proposes that all new power investments be located on existing heat loads to facilitate cogeneration. COGEN Europe believes this integrated approach focusing on efficiency and decentralization will provide Europe with the cheapest and most sustainable energy system.
This document summarizes the key points from a report on the cost of power generation from renewable and traditional technologies. It covers the following main topics:
1. It introduces the concepts of capital cost and levelized cost of electricity as the two fundamental yardsticks used to compare generation costs. However, it notes limitations in accounting for risk.
2. It discusses how risk, volatility, and liberalized electricity markets have introduced new sources of risk for generation investments from factors like fuel price fluctuations. Portfolio management tools are now being used to manage these risks.
3. Historical cost data and trends are examined to understand past predictions and learn lessons that can inform future projections. Technology learning curves also reveal how costs change
This document discusses the need for the EU to establish renewable energy targets beyond 2020 when the current targets expire. Several stakeholders argue that a binding 45% renewable energy target for 2030 is needed to provide long-term policy stability and incentives for continued investment in renewable technologies. The EU has already committed to reducing greenhouse gas emissions 80-95% by 2050 but intermediary targets are required to achieve this goal. A 2030 target would help ensure the transition to a fully renewable electricity system by mid-century. Wind energy deployment has consistently exceeded expectations in Europe and could contribute 50% of renewable electricity by 2050 if supported by clear long-term policy signals.
This document provides a summary of a report on the economic impacts of Germany's promotion of renewable energies. It finds that Germany's feed-in tariff subsidy scheme has failed to ensure a cost-effective introduction of renewables. The net costs of subsidies for solar and wind energy between 2000-2010 are estimated to be over 70 billion euros, with consumer electricity prices increasing by 7.5% on average. Subsidies for solar in particular exceed the social costs of carbon emissions reductions through other means by over 50 times. While renewable capacity and production have increased, the policy lacks benefits for climate change, employment, energy security, or innovation.
This document discusses the effect of wind generation on combined heat and power (CHP) plants in Ireland. It finds that high levels of wind penetration can negatively impact the profitability of CHP in two key ways:
1) Increased wind lowers wholesale electricity prices during times of high wind output, reducing the revenue of CHP plants. Wholesale prices were found to be 21% lower on average under a scenario with 30% wind versus 10% wind.
2) Lower wholesale prices lead to a 19% reduction in gross savings for a model 1MWe CHP plant under high wind (30%) compared to low wind (10%).
3) However, the negative impacts of wind can be partially
The document discusses factors that determine the cost of electricity generation from different types of power plants. It analyzes construction costs, fuel costs, government incentives, and emissions controls for various conventional and renewable power plants. The lowest cost options are pulverized coal, natural gas combined cycle, and geothermal plants, which have costs around $60 per megawatt-hour. Wind, integrated gasification combined cycle coal, and nuclear plants have higher costs in the $80 per megawatt-hour range due to their high capital costs and financing charges. The natural gas combined cycle plant currently provides low-cost electricity generation throughout the United States.
The document discusses Malaysia's reliance on fossil fuels like coal, oil and gas for energy generation and the issues with this approach. It notes that fossil fuels and coal currently dominate 95% of energy generation. It outlines Malaysia's energy timeline and generation mix in 2010. The document discusses challenges like fluctuating oil and gas prices, gas supply shortages, and needing to import coal. It states that Green Constitutes aims to help clients save energy, money and benefit the environment by providing energy efficiency and renewable energy solutions. Key areas of focus are buildings, industry and data centers which account for a large portion of energy usage and greenhouse gas emissions. The company contributes solutions in areas like energy auditing, passive efficiency upgrades, active efficiency optimization
The document discusses paying for renewable energy through policies like feed-in tariffs. It argues that well-designed renewable energy policies can create jobs and economic benefits while having costs outweighed by measurable benefits like those seen in Germany's policy. Ontario also expects economic benefits from developing renewable energy. The US policy framework is more complex and lacks elements like transparency and longevity needed for large-scale renewable investment.
1. The document outlines a partnership between the Canadian Academy of Engineering and the David Suzuki Foundation to identify energy strategies for Canada to reduce greenhouse gas emissions 80% below 1990 levels by 2050, make Canada a global leader in sustainable energy, and ensure all Canadians have access to needed energy.
2. It discusses conceptual frameworks for lowering emissions through increasing energy efficiency, fuel switching to lower carbon options, and carbon management.
3. Data is presented comparing Canada's energy use and emissions to other countries' illustrative low carbon scenarios, showing pathways to decarbonize energy systems and increase renewable energy and energy productivity.
This document discusses the integration of next-generation wind and solar power into power systems globally. As the share of variable renewable energy (VRE) increases, accounting for system value beyond generation costs alone becomes important. System value considers both the benefits, such as reduced fuel and emissions costs, and costs, such as increased cycling of backup plants, of adding VRE. Policies can maximize VRE system value through system-friendly deployment strategies including optimizing location, technology mix, generation profiles, and coordination with flexible resources. Reflecting system value in policy frameworks is key to enabling cost-effective high shares of VRE.
The executive summary/high level findings of the WEO report, published Nov. 2012. The report is an annual publication by the International Energy Agency. The 2012 version calls attention to the world-changing impact of hydraulic fracturing of shale gas and oil deposits in North America. Its worldwide impact, according to the report, is profound.
The document is an energy newsletter from February 2012. It discusses recent increases in electricity, gas, and oil market prices due to cold weather and supply issues. It reviews that electricity prices are at comparable levels from a year ago, while gas and oil prices are up 13.64% and 11.95% respectively from last year. All three energy markets saw price increases of over 6% from the previous month. The newsletter also discusses potential energy savings of £1.4 billion for UK industry through improved lighting technologies and a £1 billion UK government competition for carbon capture and storage projects.
The Rise And Fall And Rise Again Of A Department Of Energygm2240
This document summarizes a speech given by Ed Miliband, the Secretary of State for Energy and Climate Change, about the history and objectives of the UK Department of Energy. The key points are:
1) The Department of Energy has been abolished and reestablished multiple times depending on the key energy issues and assumptions of the time.
2) Three fundamental assumptions that shaped the original energy market framework have changed - climate change is now a key concern, the UK is no longer energy independent, and energy prices can no longer be assumed to remain low.
3) The energy policy approach needs to move from a solely "markets-only" view to one that combines dynamic energy markets with a strategic role for government
The UK has made progress transitioning to renewable energy and reducing greenhouse gas emissions through policies that promote low-carbon technologies like renewable energy, nuclear power, and carbon capture and storage. Currently, natural gas provides 30.2% of the country's electricity but renewable capacity has increased, particularly from wind and solar. The UK aims to source 15% of energy from renewables by 2020 and cut greenhouse gas emissions by at least 34% by 2020 and 80% by 2050 to meet climate change goals. Meeting future energy needs will be challenging as the population grows but renewable expansion can help reduce reliance on imported natural gas and oil.
The document provides information about Spencer Ogden, a specialist energy recruitment company.
The summary is:
Spencer Ogden is an energy recruitment firm that focuses on filling positions across various energy sectors, including oil and gas, nuclear, renewables, and more. They have extensive experience recruiting candidates for both national and international clients. Spencer Ogden aims to deliver high-quality service to both candidates and clients.
SPECIALE - Talking about energy - Maria ToftMaria Toft
This document provides an abstract and introduction to a master's dissertation examining why the "Energy Union" proposal is on the European policy agenda. The dissertation was written by Maria Toft and Svend Elberg Thomsen from the University of Copenhagen.
The dissertation aims to answer the research question "Why is 'the Energy Union' on the European policy agenda?" by exploring what the Energy Union is, how it entered the agenda, and why an agenda change took place. It uses interviews with energy policy experts and applies the Multiple Streams Framework and Discursive Institutionalism theories to analyze the case.
The introduction provides background on energy policy in the EU and outlines how the Energy Union proposal emerged unexpectedly in 2014-2015 despite
This presentation gives an overview on how our current unsustainable energy supply systems can be transformed to sustainable energy systems? There is a special focus on the challenges for developing countries. The findings are based on the book from Peter Hennicke & Susanne Bodach "Energierevolution - Effizienzsteigerung und erneuerbare Energien als neue globale Herausforderungen" (Oekon Verlag 2010).
Presentation held on World Environment Day 2010 (2010-06-06) in Kathmandu, Nepal.
Bridge Power Consulting provides customized energy consulting services and competitive pricing solutions to large commercial customers to help them navigate the unpredictable energy market. They offer market insights, access to wholesale pricing through supplier partnerships, and customized quotes based on clients' usage histories. Their services aim to reduce customers' exposures to price volatility and help them save over 20% compared to current pricing through negotiated fixed-price contracts.
Denmark aims to be independent of fossil fuels by 2050 through ambitious renewable energy targets. The country has already made significant progress, generating 33% of electricity from renewables like wind and biomass. New policies aim to reach 50% renewable electricity by 2020 through expanding wind power and converting buildings from coal to biomass heating. The transition is technically and economically feasible due to Denmark's energy efficiency gains and competitive clean technology industry. The long-term strategy has achieved broad political support through cost-effective subsidies and energy taxes that incentivize renewable energy development.
an-analysis-of-the-carbon-limits-and-energy-for-america2019s-renewal-clear-ac...Eric Williams
The document analyzes and compares the Carbon Limits and Energy for America's Renewal (CLEAR) Act cap-and-trade program to the Waxman-Markey bill analyzed by the EIA. Key findings include:
1) CLEAR allowance prices are estimated to be equal to the price ceiling from 2012-2030, while Waxman-Markey prices grow at a lower rate.
2) CLEAR results in higher cumulative CO2 emissions from 2012-2030 compared to Waxman-Markey due to the constraining price ceiling.
3) CLEAR GHG emissions in 2030 are estimated to be 5% below 2005 levels, while Waxman-Markey
The European Union's 20-20-20 energy policy of achieving 20% reductions in emissions, 20% renewable energy usage, and 20% improved energy efficiency by 2020 faces significant challenges and uncertainties. While the renewable energy and emissions reduction targets may be achieved through investment subsidies, this risks undermining non-renewable energy generators, burdening consumers, selecting commercial 'winners', and failing to incentivize broader decarbonization innovations. Achieving the efficiency target relies more on voluntary actions without strong mandates or investment incentives. Additionally, shifts in the global energy landscape towards cheap and abundant shale gas in North America could weaken Europe's negotiating position in future international climate agreements.
So here is Issue 4. This is a consolidation issue for the first two criterion of the Emissions Model, showing how they can be used to begin structuring of a national reduction plan.
Content_Ukraine is too poor to invest in green energyPublic Debate
Ukraine is too poor to invest in green energy. Green energy production in Ukraine costs on average 5 times as much as conventional energy due to high costs. Green energy currently accounts for less than 1% of Ukraine's energy production. Investing substantial government funds to increase green energy production would significantly increase Ukraine's budgetary burden due to the high costs of green energy technologies. It may be more reasonable for Ukraine to wait for costs of green energy technologies to decrease as rich countries further develop them.
TXU's integrated business model of both power generation and energy retail provides a natural hedge against falling natural gas prices. The combination of these businesses helps maintain sustainable retail margins during both gas price increases and decreases. Individually, TXU Power and TXU Energy are highly exposed to gas price volatility, but integrating the two reduces this volatility. Compared to other companies in the industry, TXU has a significantly reduced overall exposure to natural gas price changes in both absolute and relative terms due to its integrated business model.
The document is a response from EURELECTRIC, an association representing the electricity industry in Europe, to the European Commission's Green Paper on a strategy for sustainable, competitive and secure energy. EURELECTRIC welcomes many aspects of the Green Paper, including its support for balancing energy policy objectives and cost-effective policy options. However, the response also notes that the Green Paper could provide more clarity on resolving conflicts between policies and a long-term vision with stable regulation is needed to encourage investment in Europe's energy sector.
The document discusses the 2010 Dodge Ram 3500 truck. It provides details on the truck's Cummins Turbo Diesel V8 engine with 350 horsepower and 650 foot-pounds of torque. Color and interior options are listed, including silver, red, brown, black, metallic gray, tan, white, and blue. The document also notes the truck's towing capacity of 18,500 pounds and touts its ability to handle any towing job in all weather conditions.
The document discusses paying for renewable energy through policies like feed-in tariffs. It argues that well-designed renewable energy policies can create jobs and economic benefits while having costs outweighed by measurable benefits like those seen in Germany's policy. Ontario also expects economic benefits from developing renewable energy. The US policy framework is more complex and lacks elements like transparency and longevity needed for large-scale renewable investment.
1. The document outlines a partnership between the Canadian Academy of Engineering and the David Suzuki Foundation to identify energy strategies for Canada to reduce greenhouse gas emissions 80% below 1990 levels by 2050, make Canada a global leader in sustainable energy, and ensure all Canadians have access to needed energy.
2. It discusses conceptual frameworks for lowering emissions through increasing energy efficiency, fuel switching to lower carbon options, and carbon management.
3. Data is presented comparing Canada's energy use and emissions to other countries' illustrative low carbon scenarios, showing pathways to decarbonize energy systems and increase renewable energy and energy productivity.
This document discusses the integration of next-generation wind and solar power into power systems globally. As the share of variable renewable energy (VRE) increases, accounting for system value beyond generation costs alone becomes important. System value considers both the benefits, such as reduced fuel and emissions costs, and costs, such as increased cycling of backup plants, of adding VRE. Policies can maximize VRE system value through system-friendly deployment strategies including optimizing location, technology mix, generation profiles, and coordination with flexible resources. Reflecting system value in policy frameworks is key to enabling cost-effective high shares of VRE.
The executive summary/high level findings of the WEO report, published Nov. 2012. The report is an annual publication by the International Energy Agency. The 2012 version calls attention to the world-changing impact of hydraulic fracturing of shale gas and oil deposits in North America. Its worldwide impact, according to the report, is profound.
The document is an energy newsletter from February 2012. It discusses recent increases in electricity, gas, and oil market prices due to cold weather and supply issues. It reviews that electricity prices are at comparable levels from a year ago, while gas and oil prices are up 13.64% and 11.95% respectively from last year. All three energy markets saw price increases of over 6% from the previous month. The newsletter also discusses potential energy savings of £1.4 billion for UK industry through improved lighting technologies and a £1 billion UK government competition for carbon capture and storage projects.
The Rise And Fall And Rise Again Of A Department Of Energygm2240
This document summarizes a speech given by Ed Miliband, the Secretary of State for Energy and Climate Change, about the history and objectives of the UK Department of Energy. The key points are:
1) The Department of Energy has been abolished and reestablished multiple times depending on the key energy issues and assumptions of the time.
2) Three fundamental assumptions that shaped the original energy market framework have changed - climate change is now a key concern, the UK is no longer energy independent, and energy prices can no longer be assumed to remain low.
3) The energy policy approach needs to move from a solely "markets-only" view to one that combines dynamic energy markets with a strategic role for government
The UK has made progress transitioning to renewable energy and reducing greenhouse gas emissions through policies that promote low-carbon technologies like renewable energy, nuclear power, and carbon capture and storage. Currently, natural gas provides 30.2% of the country's electricity but renewable capacity has increased, particularly from wind and solar. The UK aims to source 15% of energy from renewables by 2020 and cut greenhouse gas emissions by at least 34% by 2020 and 80% by 2050 to meet climate change goals. Meeting future energy needs will be challenging as the population grows but renewable expansion can help reduce reliance on imported natural gas and oil.
The document provides information about Spencer Ogden, a specialist energy recruitment company.
The summary is:
Spencer Ogden is an energy recruitment firm that focuses on filling positions across various energy sectors, including oil and gas, nuclear, renewables, and more. They have extensive experience recruiting candidates for both national and international clients. Spencer Ogden aims to deliver high-quality service to both candidates and clients.
SPECIALE - Talking about energy - Maria ToftMaria Toft
This document provides an abstract and introduction to a master's dissertation examining why the "Energy Union" proposal is on the European policy agenda. The dissertation was written by Maria Toft and Svend Elberg Thomsen from the University of Copenhagen.
The dissertation aims to answer the research question "Why is 'the Energy Union' on the European policy agenda?" by exploring what the Energy Union is, how it entered the agenda, and why an agenda change took place. It uses interviews with energy policy experts and applies the Multiple Streams Framework and Discursive Institutionalism theories to analyze the case.
The introduction provides background on energy policy in the EU and outlines how the Energy Union proposal emerged unexpectedly in 2014-2015 despite
This presentation gives an overview on how our current unsustainable energy supply systems can be transformed to sustainable energy systems? There is a special focus on the challenges for developing countries. The findings are based on the book from Peter Hennicke & Susanne Bodach "Energierevolution - Effizienzsteigerung und erneuerbare Energien als neue globale Herausforderungen" (Oekon Verlag 2010).
Presentation held on World Environment Day 2010 (2010-06-06) in Kathmandu, Nepal.
Bridge Power Consulting provides customized energy consulting services and competitive pricing solutions to large commercial customers to help them navigate the unpredictable energy market. They offer market insights, access to wholesale pricing through supplier partnerships, and customized quotes based on clients' usage histories. Their services aim to reduce customers' exposures to price volatility and help them save over 20% compared to current pricing through negotiated fixed-price contracts.
Denmark aims to be independent of fossil fuels by 2050 through ambitious renewable energy targets. The country has already made significant progress, generating 33% of electricity from renewables like wind and biomass. New policies aim to reach 50% renewable electricity by 2020 through expanding wind power and converting buildings from coal to biomass heating. The transition is technically and economically feasible due to Denmark's energy efficiency gains and competitive clean technology industry. The long-term strategy has achieved broad political support through cost-effective subsidies and energy taxes that incentivize renewable energy development.
an-analysis-of-the-carbon-limits-and-energy-for-america2019s-renewal-clear-ac...Eric Williams
The document analyzes and compares the Carbon Limits and Energy for America's Renewal (CLEAR) Act cap-and-trade program to the Waxman-Markey bill analyzed by the EIA. Key findings include:
1) CLEAR allowance prices are estimated to be equal to the price ceiling from 2012-2030, while Waxman-Markey prices grow at a lower rate.
2) CLEAR results in higher cumulative CO2 emissions from 2012-2030 compared to Waxman-Markey due to the constraining price ceiling.
3) CLEAR GHG emissions in 2030 are estimated to be 5% below 2005 levels, while Waxman-Markey
The European Union's 20-20-20 energy policy of achieving 20% reductions in emissions, 20% renewable energy usage, and 20% improved energy efficiency by 2020 faces significant challenges and uncertainties. While the renewable energy and emissions reduction targets may be achieved through investment subsidies, this risks undermining non-renewable energy generators, burdening consumers, selecting commercial 'winners', and failing to incentivize broader decarbonization innovations. Achieving the efficiency target relies more on voluntary actions without strong mandates or investment incentives. Additionally, shifts in the global energy landscape towards cheap and abundant shale gas in North America could weaken Europe's negotiating position in future international climate agreements.
So here is Issue 4. This is a consolidation issue for the first two criterion of the Emissions Model, showing how they can be used to begin structuring of a national reduction plan.
Content_Ukraine is too poor to invest in green energyPublic Debate
Ukraine is too poor to invest in green energy. Green energy production in Ukraine costs on average 5 times as much as conventional energy due to high costs. Green energy currently accounts for less than 1% of Ukraine's energy production. Investing substantial government funds to increase green energy production would significantly increase Ukraine's budgetary burden due to the high costs of green energy technologies. It may be more reasonable for Ukraine to wait for costs of green energy technologies to decrease as rich countries further develop them.
TXU's integrated business model of both power generation and energy retail provides a natural hedge against falling natural gas prices. The combination of these businesses helps maintain sustainable retail margins during both gas price increases and decreases. Individually, TXU Power and TXU Energy are highly exposed to gas price volatility, but integrating the two reduces this volatility. Compared to other companies in the industry, TXU has a significantly reduced overall exposure to natural gas price changes in both absolute and relative terms due to its integrated business model.
The document is a response from EURELECTRIC, an association representing the electricity industry in Europe, to the European Commission's Green Paper on a strategy for sustainable, competitive and secure energy. EURELECTRIC welcomes many aspects of the Green Paper, including its support for balancing energy policy objectives and cost-effective policy options. However, the response also notes that the Green Paper could provide more clarity on resolving conflicts between policies and a long-term vision with stable regulation is needed to encourage investment in Europe's energy sector.
The document discusses the 2010 Dodge Ram 3500 truck. It provides details on the truck's Cummins Turbo Diesel V8 engine with 350 horsepower and 650 foot-pounds of torque. Color and interior options are listed, including silver, red, brown, black, metallic gray, tan, white, and blue. The document also notes the truck's towing capacity of 18,500 pounds and touts its ability to handle any towing job in all weather conditions.
Regione Toscana - Attività di promozione economica 2011VISITMAREMMA
Attività di promozione economica 2011 - Regione Toscana e Toscana Promozione - Governance di sistema dopo la soppressione delle APT -Innovazione di processo
This document discusses strategies for providing effective feedback on student writing. It defines feedback as a formative response from readers to help students improve their work, as opposed to summative evaluation. Specific feedback is important to help students make meaning and develop problem-solving skills. Good feedback questions are open-ended, diagnostic, and prompt extension and action. When working in teams, clear roles and processes for feedback are important. Overall, the document emphasizes making feedback specific and focused on moving the work forward.
Yaakov Kirschen MEMES and the viral spread of IdeasAnochi.com.
This document summarizes Yaakov Kirschen's work studying political cartoons and antisemitism as a visiting fellow at YIISA. It describes how he collected cartoons from different time periods and places dating back to the 19th century, and categorized the common codes and tropes used to dehumanize and stereotype Jews. These included depicting Jews as demonic, blood-drinking vermin who control the banks/media and kill babies. The document outlines how these codes have evolved and spread over time and locations like viruses, with some motifs remaining consistent from Nazi propaganda to modern cartoons. It stresses the importance of documenting these trends to understand the "viral" nature of antisemitism and resist its normalization
Un usuario creó un álbum de imágenes favoritas de la ciudad de Poznan. El álbum contiene fotos de los lugares más emblemáticos y pintorescos de la ciudad para mostrar la belleza y encanto de Poznan.
Dr. Frank Shostak is an economist who works for MMG Economics & Research Ltd in Israel. The document appears to be a presentation or report by Dr. Shostak analyzing economic data and frameworks. It includes various charts and graphs tracking economic indicators in both the US and Israel over time, such as GDP, unemployment, inflation, interest rates, housing prices, and stock market indexes. The presentation also discusses concepts like wealth creation, the effects of money supply and monetary policy, and prices.
One of three slides sets from a workshop on Universal Design for Learning. Other slidesets focus on creating presentation slides and enacting accessible discussions.
שקפים מתוך הרצאה שהועברה ב-9 במאי במכללה למדינאות בירושלים. ההרצאה עסקה בשוק הדבש ושוק הגז והעוקץ שמשותף לשניהם - הוא העוקץ שחווים כלל אזרחי ישראל שזכויות הקניין שלהם מופרות ברגל גסה.
This document provides a skeptical perspective on mainstream assessments of climate change and its impacts on the tourism industry. It summarizes recent research that questions whether human activity is the primary cause of global warming, whether climate change poses serious threats, and whether radical policy responses are warranted. The document argues that tourism scholars have largely endorsed alarming views of climate change without critically examining ongoing scientific debates. It recommends tourism researchers adopt a more cautious approach and consider alternative explanations to the prevailing climate change narrative.
October 20, 2010 at the Virginia State Capitol
The Art of Pro Bono, presented by Bob Tarren, Virginia Museum of Fine Arts
Summary: Stretching a dollar is just as important as ever, especially for non-profits. Learn how the VMFA used private partners to make every dollar feel like three.
Degree of economic_freedom_and_relationship_to_economic_growthAnochi.com.
Freedom is an intrinsic element of the life of every person, yet is often noticed only
in the event that attempts are made at limiting it. It is possible today to select many
areas in which it is more or less consciously diminished. One of these is the field of
economic freedom, which may be reduced through bureaucracy for example, as well as
through various forms of concession. The means of preventing this particular
weakening of the development of an economy may be a gradual liberalization of it.
Individuals aspire to gain happiness through the fulfillment of their needs, assistance
in which may be provided by an increase in income. Economic growth triggers an
increase in the income of individuals, but is also equated with an increase in access to
such goods as better medical care or education. On account of this it becomes vital to
investigate the influence of the liberalization of an economy on economic growth
This presentation created and addressed by Gonzalo Saenz de Miera in the intensive three day course from the BC3, Basque Centre for Climate Change and UPV/EHU (University of the Basque Country) on Climate Change in the Uda Ikastaroak Framework.
The objective of the BC3 Summer School is to offer an updated and multidisciplinary view of the ongoing trends in climate change research. The BC3 Summer School is organized in collaboration with the University of the Basque Country and is a high quality and excellent summer course gathering leading experts in the field and students from top universities and research centres worldwide.
Energy Transition in Belgium – Choices and CostsIEA-ETSAP
The document summarizes modeling work done to assess energy transition scenarios for Belgium's power sector from 2016 to 2040. The modeling analyzed scenarios including a nuclear phase-out, increased renewable energy targets, and variations in natural gas and fossil fuel prices. Key results found that renewable energy expansion is necessary to meet demand but natural gas will remain important for flexibility. Annual power costs are highly sensitive to fuel prices. Extending nuclear capacity by 2GW provided only minor cost savings that did not persist in the long-run.
The document provides an overview and highlights from DNV's Energy Transition Outlook 2022 report. It summarizes that high energy prices and security concerns due to the war in Ukraine will not slow the long-term energy transition, though some short-term impacts are expected. Electricity remains the main driver of the transition and will more than double by 2050 as renewables like solar and wind grow rapidly. However, the report finds that global efforts have fallen short of the urgent action needed to limit warming to 1.5°C, and additional policies and measures are required to achieve net zero emissions by 2050.
Impacts of deep decarbonization pathways on the Italian energy intensive indu...IEA-ETSAP
This document summarizes the results of a study exploring the impacts of different decarbonization pathways for Italy's energy system and industries to achieve an 80% reduction in CO2 emissions by 2050 compared to 1990 levels. Three scenarios were modeled - one with high deployment of CCS, one focusing on energy efficiency, and one with limited CCS and high energy prices. The scenarios showed large reductions in energy use and CO2 emissions but varying economic impacts, with GDP declining more in scenarios with limited decarbonization options for industry. Macroeconomic effects included changes in output, employment and trade balances across economic sectors.
High Efficiency - A Green Revolution In Dc PowerEltek
This document discusses how adopting more efficient DC power systems can help reduce electricity usage and carbon emissions for telecommunications companies. It notes that DC power systems, which convert AC to DC, are a major source of energy consumption due to inherent inefficiencies. Modern rectifiers used in these systems have improved and can achieve efficiencies over 90%, but further gains are possible. Adopting higher efficiency rectifiers, like 92% efficient models, can significantly reduce power losses and associated costs. For a sample 8,000W system, 92% rectifiers provide a 21.7% reduction in losses compared to 90% rectifiers. This equates to annual energy and cost savings, as well as reduced CO2 emissions.
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Iniciativas de Eficiência Energética na Ásia e Pacífico slides-mci
1. Japan has significantly improved its energy efficiency over the past 40 years through policies like the Energy Conservation Law and Top Runner Program. These policies have led to a 40% improvement in primary energy use per real GDP since 1973.
2. Japan faces an ongoing challenge to further improve energy efficiency by 35% by 2030 while replacing nuclear power and shifting to renewable energy to reduce greenhouse gas emissions.
3. New technologies and energy management systems are playing a key role, like smart communities and net zero energy buildings that optimize energy use across homes and buildings through systems like HEMS and BEMS.
This document discusses active energy efficiency, which is defined as effecting permanent change through measurement, monitoring and control of energy usage. It argues that meeting greenhouse gas emissions targets will require active rather than just passive energy efficiency measures. Various technical solutions for optimizing energy usage in buildings, industry and infrastructure are described, including lighting control, variable speed drives, power quality improvements, and remote energy consumption monitoring. Active energy efficiency is presented as a relatively low-cost way to significantly reduce energy usage and costs within a few years.
This document summarizes the transformation underway in the electricity sector due to factors like climate change mitigation efforts, renewable energy targets in the Paris Agreement, and the increasing competitiveness of renewable technologies. It shows how the traditional electricity value chain centered around fossil fuels is shifting to incorporate more renewable sources like solar and wind. Charts and data from countries in Europe demonstrate how renewable capacity, particularly from solar and wind, has significantly increased in places like Germany, France, Italy, Spain, and the UK over the last decade as these countries pursue their climate and renewable goals.
The document discusses how information technology can play a role in reducing greenhouse gas emissions through various strategies. It identifies key investment areas like solar and wind power where IT can help harness clean energy sources, as well as hybrid vehicles where IT can help reduce transportation emissions. The document recommends adding small positions in Sunpower Corp. and Xantrex to take advantage of opportunities in solar power and power conversion devices. It also discusses longer term opportunities in technologies like IGBT semiconductors that can help renewable energy grow.
This document is a student assignment on energy policy and economics that analyzes installing a combined heat and power (CHP) system for a manufacturing plant. It includes an introduction on energy policies, a feasibility evaluation of the plant's energy needs, an analysis of the costs and emissions reductions of a CHP system compared to the plant's current electricity and heating sources, and a payback calculation showing the CHP system would pay for itself in under 2 years. Key details provided include the plant's electrical and thermal load requirements, current energy costs, specifications of the proposed CHP system, estimated costs and savings, and reductions in CO2 and other emissions.
This document summarizes the key challenges facing Britain's transition to lower carbon energy sources. It outlines that electricity demand has fallen while renewables like wind and solar have grown. Policies like contracts-for-difference support renewable expansion but challenges remain around buildings, industry, and balancing decarbonization, security, and affordability. The levy control framework sets spending limits to manage costs but significant barriers persist in deploying technologies like solid wall insulation at scale.
Global environmental tendencies and energy sustainabilitypvsinbloom
The document summarizes the global and European renewable energy picture and the EU's 2020 strategy for promoting renewable energy and energy efficiency. It discusses how renewable energy accounted for an estimated 16% of global energy consumption in 2010 and how the EU aims to source 20% of its energy from renewables by 2020. It also outlines the opportunities for promoting the EU 2020 strategy in Central and Eastern European countries through increasing their use of renewable energy and improving energy efficiency, especially in buildings.
The Positive Environmental and Economical Impact of CHPDr. Roger Achkar
By capturing waste heat from electricity production, CHP systems require less fuel than separate heat and power systems, reducing greenhouse gas emissions like CO2 and air pollutants such as NOx. If 20% of US power came from CHP by 2030, it could eliminate 848 million tons of CO2 emissions, equivalent to removing 154 million cars from the road. CHP also provides economic benefits like reduced energy costs, offset capital costs, and a hedge against volatile energy prices. For example, using CHP in Saudi Arabia could increase crude oil exports by 150,000 barrels per day, increasing national revenues by around 14 billion Saudi Riyals annually.
Presentation from Business Link's 'Boost your marketing strategy' event at Center Parcs Longleat Forest on 2nd March 2011. Dr. Jeff Kenna's (Camco) presentation looks at green energy futures and how businesses can make the most of current and up and coming opportunities.
Renewable heating technologies provide an important opportunity for UK businesses and consumers to reduce energy bills and carbon emissions. Heating accounts for over 78% of energy usage in homes and 55% of non-domestic buildings, and produces 38% of UK carbon emissions. However, awareness and understanding of renewable heating solutions like biomass boilers and heat pumps is currently low in the UK. Increased education is needed to help households and businesses recognize these proven technologies as modern, efficient alternatives to fossil fuel heating.
This document summarizes the future prospects for solar power in the United Kingdom across three markets: large-scale solar farms, commercial rooftop solar, and residential rooftop solar. It finds that all three solar markets could be economic without government support within the next decade as solar costs continue to fall rapidly. Residential solar with battery storage may achieve payback periods of less than 10 years by 2025, driving widespread adoption. However, integrating high levels of variable solar power will involve some grid costs such as more flexible power scheduling and storage options that need to be weighed against environmental and energy security benefits.
הטמפרטורה העולמית הממוצעת היא הפרמטר המופיע ברוב הגרפים המתארים את השתנות הטמפרטורה עם הזמן.
גרפים אלה מוצגים כדי להציג בפני קהל הקוראים והשומעים את המגמה העולה של הטמפרטורה הממוצעת העולמית.
בדיון על גרפים אלה לא מציינים בפני הקוראים שתי עובדות חשובות:
האחת כל "בנקי הנתונים" בעולם מתקנים את הנתונים שנמדדו, לדוגמה הגרף הבא מציג את נתוני הטמפרטורה לפני התיקון ואחריו.
2022 marks the 6th year in which the Israeli Atlas Award event will be held in cooperation with the Ayn Rand Center, TheMarker and other leading partners such as the Prometheus foundation, Dow Gr. and Karyopharm Therapeutics. The prize will be granted to the Israeli start-up company which created a new technology, idea or product of exceptional value in Israel and worldwide.
This document summarizes a study conducted by the Nuclear Energy Agency (NEA) on the system costs of decarbonizing electricity generation with high shares of nuclear power and renewables. The study models eight scenarios with different technology mixes to achieve a 50g CO2/kWh target by 2050. It finds that a balanced mix of variable renewables, nuclear, and other dispatchable generation results in the lowest system costs. High shares of variable renewables increase costs due to integration challenges, though these costs can be reduced through policies that value reliability and flexibility. The study provides policymakers with insights on cost-effectively achieving deep decarbonization of the electricity sector.
יום ראשון השבוע אזל החשמל בישראל. ככה. כמו שקראתם. כושר הייצור פשוט מוצה. תחנות הכוח שלנו הגיעו לקצה יכולתן.
לכן, בשעה 13:00 קיבלו צרכני חשמל גדולים הודעה שלפיה אם למשך ארבע שעות, בין 17:30 ל-21:30, יואילו בטובם להתנתק מהרשת ולא לצרוך חשמל — הם יקבלו בתמורה סכום נדיב למדי. עד פי 15 מעלות החשמל שהיו צורכים, היישר לכיס. דיל לא רע. "השלה מרצון" שמו.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
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Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
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Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
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How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
3. Contents
Executive summary ....................................................................................................................ii
Chapter 1: Energy policy and climate change ........................................................................... 1
Introduction ........................................................................................................................... 1
Energy policy and climate change: CO2 emissions ................................................................ 1
Legislation affecting the UK energy policy ............................................................................ 4
Carrots and sticks .................................................................................................................. 6
References ............................................................................................................................. 8
Chapter 2: Electricity generation costs ................................................................................... 11
Preliminary remarks ............................................................................................................ 11
Estimates of electricity generation costs: Mott MacDonald ............................................... 11
Mott MacDonald: chosen near-term project ...................................................................... 12
Mott MacDonald: chosen medium-term project ................................................................ 13
Wind: a special case ............................................................................................................ 14
Conclusions from the Mott MacDonald report: levelised costs.......................................... 18
Levelised generation costs: further reports ........................................................................ 20
References ........................................................................................................................... 24
Chapter 3: Cutting greenhouse gas emissions ........................................................................ 26
Britain’s greenhouse gas emissions..................................................................................... 26
The challenge: draconian cuts in CO2 emissions ................................................................. 28
Wind-power is not effective in cutting CO2 emissions ........................................................ 29
Conclusions.......................................................................................................................... 30
References ........................................................................................................................... 31
Annex ....................................................................................................................................... 32
i
4. Executive summary
Britain’s energy policies are heavily influenced by the Climate Change Act (2008) and the
EU’s Renewables Directive (2009). Under the Climate Change Act Greenhouse Gas (GHG)
emissions are to be cut by 34% by 2018-22 and by 80% by 2050 compared with the 1990
level. These are draconian cuts. Under the Renewables Directive Britain is committed to
sourcing 15% of final energy consumption from renewables by 2020. (Chapter 1)
These commitments add to energy costs and undermine business competitiveness.
(Chapter 1)
Britain’s zeal in cutting carbon emissions should be seen in a global context. Britain’s CO2
emissions are about 1.5% of the world total and even the EU27’s share is only 12% of
the world total. No other major emitters have binding policies to cut back their
emissions. China’s emissions are, for example, rising quickly. (Chapter 1)
Using estimates on the costs of electricity generation compiled by engineering
consultants Mott MacDonald (MM) (chapter 2):
o Excluding carbon costs, coal-fired power stations are the least expensive technology
for generating electricity for both near-term and medium-term projects.
o Including carbon costs, gas-fired power stations are the cheapest option for near-
term projects, but nuclear power is the least expensive in the medium-term. Other
things being equal this would suggest that investment should be concentrated in gas
and nuclear technologies. A mix of technologies is preferable for operational
reasons. Coal-fired power stations become relatively uneconomic, reflecting the
heavy carbon costs, especially in the medium-term.
o Onshore wind looks relatively competitive on the MM data. But MM exclude the
additional costs associated with wind-power. When allowance is made for these
additional costs, the technology ceases to be competitive for both near-term and
medium-term projects.
o Offshore wind (even before allowing for additional costs) and Carbon Capture and
Storage (CCS) technologies are inordinately expensive.
Nuclear power and gas-fired CCGT are therefore the preferred technologies for
generating reliable and affordable electricity. There is no economic case for wind-power.
(Chapter 2).
ii
5. Wind-power is also an inefficient way of cutting CO2 emissions, once allowance is made
for the CO2 emissions involved in the construction of the turbines and the deployment of
conventional back-up generation. Nuclear power and gas-fired CCGT, replacing coal-fired
plant, are the preferred technologies for reducing CO2 emissions. (Chapter 3)
Wind-power is therefore expensive (chapter 2) and ineffective in cutting CO2 emissions
(chapter 3). If it were not for the renewables targets set by the Renewables Directive,
wind-power would not even be entertained as a cost-effective way of generating
electricity and/or cutting emissions. The renewables targets should be renegotiated with
the EU.
iii
6. Chapter 1:
Energy policy and climate change
Introduction
Economic growth, or the lack of it, is now central to any economic debate. On a related
issue, Britain has lost competitiveness since the late 1990s. One of the most authoritative
sources of comparative material on competitiveness is the World Economic Forum (WEF),
which compiles an index of competitiveness, a weighted average of a large range of relevant
social and economic indicators. The WEF’s The Global Competitiveness Report for 2011-12
showed the UK in 10th position, well down on the UK’s ranking in 1998, when it was fourth.1
The British economy needs a really radical growth strategy in order to reverse the lost
competitiveness experienced since 1998 and stimulate the economy.2 One area which
should be tackled is energy policy, where “green policies” are adding to business’s costs,
especially manufacturing.3 The Autumn Statement included some growth measures,
including some help on energy costs for energy intensive industries, but they were far too
modest.4
Energy policy and climate change: CO 2 emissions
The latest DECC estimates for the costs of “green policies” are shown in table 1. They show,
for example, that such policies could be adding 45% to electricity costs by 2030 for medium-
sized business users, on DECC’s central case.5,6 In 2009 the estimates of the green “add-ons”
were, if anything, higher.7
1
7. Table 1: Estimated impacts of energy & climate change policies on average electricity
prices, 3 scenarios
2011 2020 2030
Household:
Low fossil fuel prices 15% 41% 37%
Central case 15% 27% 28%
High fossil fuel prices 15% 21% 17%
Medium-sized business users:
Low prices 22% 51% 58%
Central case 22% 34% 45%
High prices 22% 26% 29%
Large energy intensive users:
Low prices 11 to 16% 14 to 44% 27 to 53%
Central case 11 to 16% 8 to 28% 27 to 41%
High prices 11 to 16% 5 to 21% 19 to 25%
Source: DECC, “Estimated impacts of energy and climate change policies on energy prices and bills”, November
2011. The 3 scenarios are:
Low fossil fuel prices: gas prices 35p/therm, oil $79pb, coal $79/tonne in 2020.
Central fossil fuel prices: gas prices 68p/therm, oil $118pb, coal $109/tonne in 2020.
High fossil fuel prices: gas prices 92p/therm, oil $134pb, coal $150/tonne in 2020.
These extra costs damage competitiveness and undermine viability, especially high energy
users. They risk driving industry to migrate overseas, along with their CO2 emissions, thus
having zero net impact on global emissions totals. Indeed such migration could increase
global CO2 emissions if the recipient country is less energy efficient than the UK. Suffice to
say the supply of competitively-priced, secure and reliable sources of electricity is vital to
modern industry.
The Government’s energy policy is inextricably tied up with its climate change policy, which
is principally concerned with cutting greenhouse gas emissions, especially CO2, in order to
“mitigate dangerous manmade global warming”. We will not discuss the scientific evidence
for or against this phenomenon in this paper, but will note that the UK was responsible for
just 1.7% of total global emissions in 2008 and 1.6% in 2009.8 The direct impact of the UK’s
decarbonising “green” credentials on world emissions should therefore be kept in
perspective. We are shrinking into irrelevance as a carbon-emitting nation. Even if Britain’s
2
8. economy were to be completely decarbonised the saving in global emissions, other things
being equal, would be less than 0.5bn metric tonnes. In 2009 China’s CO2 emissions
increased by over 0.3bn metric tonnes, to 6.8bn metric tonnes. Between 2007 and 2009 the
increase in China’s emissions was 0.8bn metric tonnes, over one and half times Britain’s total
emissions.
Chart 1 shows the CO2 emissions from fuel combustion for the world, China, the USA, the
EU27, India, Russia, Japan and the UK for selected years. Between 1971 and 2009, world
emissions more than doubled, even though they fell back slightly in 2009, to around 29
billion metric tonnes, reflecting the “great recession”. Early data from the International
Energy Agency (IEA) suggest that emissions in 2010 were around a record 30.5 billion metric
tonnes as the western economies partly recovered and growth in the emerging economies
forged ahead.9
The change in country composition over the period 1971-2009 is startling. The USA was by
far the largest emitter in 1971, followed by the USSR and Germany. But by 2009 China was
the greatest emitter (accounting for 23.6% of total emissions), followed by the USA (17.9%)
and India (5.5%). Taking the EU27 in total, the bloc accounted for 12.3% of emissions,
approximately half of China’s. Given the EU’s current strategy of leading the fight against
manmade global warming, these basic data put the EU’s ambitions into perspective.10 The
EU is, in reality, quite a minor player.
Chart 1: CO2 emissions from fuel combustion, billion metric tonnes (Mt), selected years
35
30
25
20
15
10
5
0
1971 1975 1980 1985 1990 1995 2000 2005 2007 2008 2009 2010p
World China USA EU27 India Russia Japan UK
3
9. Sources: (i) International Energy Agency (IEA), CO2 emissions from fuel combustion, highlights, 2011
edition, www.iea.org. Data for the EU27 and the Russian Federation are only available from 1990; (ii)
the provisional 2010 figure is from IEA, “CO2 emissions reach record high in 2010”, May 2011.
Chart 2 shows the shares of the global emissions by the top 18 emitters in 2009. In total they
accounted for over 75% of the world total. The chart highlights the huge gulf in emissions
between China and the US, on the one hand, and the other largest emitters, on the other.
Chart 2: CO2 emissions from fuel combustion, top 18 emitters, % of global total, 2009
25
20
15
10
5
0
% of global total % of global total (EU27) % of global total (UK)
Source: International Energy Agency (IEA), CO2 emissions from fuel combustion, highlights, 2011
edition.
Legislation affecting the UK energy policy
There are two crucial pieces of climate change legislation that affect energy policy:
The Climate Change Act (2008), which is driving the draconian reduction in greenhouse
gas (GHG) emissions. Under this Act GHG emissions are to be cut by 34% by 2018-22 and
by 80% by 2050 compared with the 1990 level. This represents the near-decarbonisation
of the economy and has huge implications for the energy sector, in particular, and the
economy, more generally. As the consultants Redpoint Energy point out “…meeting
these targets will mean a radical change in the way the UK produces and consumes
energy over the coming decades.”11 The EU’s target is for a less draconian 20% reduction
in GHG emissions by 2020, compared with the 1990 level.
4
10. The EU’s Renewables Directive (2009) whereby the UK is committed to sourcing 15% of
final energy consumption (f.e.c.) from renewables by 2020. Renewable energy sources
include wind, hydro and biomass, but not nuclear power. Given the very low renewables
base from which Britain has to meet this target, the challenge is very great indeed.12
There is, arguably, little chance that Britain will be able to meet the renewables target.
Note that the Renewables Directive does not add to the pressures on Britain to cut GHG
emissions further, it merely insists that renewables must contribute to the overall
emissions cuts dictated by the climate change legislation.
In order to reach the 80% cut by 2050, the Government has set the first four 5-year Carbon
Budgets as steps to the overall target. The first three budgets were set in May 2009, the
fourth in May 2011. Table 2 shows the prescribed cuts in greenhouse gases under these
budgets.
Table 2: Greenhouse gas (GHG) emissions, metric tonnes carbon dioxide equivalent
(MtCO2e)
Years Carbon Budget MtCO2e, million Compared with 1990 level
5-year periods:
2008-12 First 3018 -22%
2013-17 Second 2782 -28%
2018-22 Third 2544 -34%
2023-27 Fourth 1950 -50%
2050 Target -80%
Source: DECC website, www.decc.gov.uk
Chris Huhne, Secretary of State for Energy and Climate Change, announced that there would
be a review of policy “in early 2014 to ensure our own carbon targets are in line with the
EU’s” when he released the details of the Fourth Carbon Budget.13 This is a sensible
development. But he should also be considering developments in the rest of the world as
well. Many nations regard the EU’s decisions as of little consequence.
5
11. Chart 3 shows the change in CO2 emissions between 1990 and 2009 for selected key
economies, alongside the EU’s and Britain’s targets. It is highly unlikely the emerging
economies will risk damaging their growth by curbing their use of fossil fuels as Britain plans
to do. And the outcome of the latest climate change talks in Durban (December 2011) will
almost certainly do nothing to change this situation. It was agreed that talks would start on a
new deal in 2012 and end by 2015, coming into effect in 2020 – nearly a decade away.14
Britain’s draconian decarbonising policies, indeed the EU’s, are arguably futile.
Chart 3: CO2 emissions, % changes compared with 1990
250
200
150
100
50
0
-50
-100
1990-2009, % change 1990-2020, target 1990-2050, target
Source of back data: International Energy Agency (IEA), CO2 emissions from fuel combustion,
highlights, 2011 edition.
Carrots and sticks
As part of its decarbonising strategy, the Government is incentivising investment in low-
carbon technologies in general and renewables technologies in particular by an assortment
of carrots and sticks, some of which serve to increase the relative price of fossil fuels vis-à-vis
other fuels. These carrots and sticks mainly comprise:
The Climate Change Levy (CCL), introduced in April 2001, is a tax on the use of energy in
industry, commerce and the public sector (i.e. all non-domestic sectors). The CCL is
intended to encourage energy efficiency and reduce carbon emissions. There are
6
12. exemptions but, notably, nuclear generated electricity is not one of them - despite the
fact such generation has no carbon emissions.
The Renewables Obligation (RO), introduced in 2002, is the obligation placed on licensed
electricity suppliers to deliver a specified amount of their electricity from eligible
renewable sources. The costs associated with the RO are rising reflecting increasing
obligation levels. The RO is currently the primary mechanism to support deployment of
large-scale renewable electricity generation.
Compliance with the EU’s Emissions Trading System (ETS). The ETS is the EU-wide “cap
and trade” scheme which started in 2005. Phase I ran from 2005 to 2007, phase II is
currently operative (2008 to 2012). The allocation of free permits (or carbon credits) will
be substantially reduced under phase III (2013-2020) and there will be no free
allowances whatsoever for the power sector. Carbon costs associated with the ETS can
be expected to rise significantly.
The Feed-in Tariffs (FiTs) scheme was introduced in April 2010. The scheme provides a
fixed payment for the electricity generated privately from renewable or low-carbon
sources called the “generation tariff”. Any unused electricity can be exported to the grid.
FiTs work alongside the Renewables Obligation (RO). They will also work alongside the
Renewable Heat Incentive (RHI) which, when implemented, will support the generation
of heat from renewable sources.
In addition, the Carbon Price Floor (CPF) due to start in April 2013, will raise the carbon costs
of fossil fuel energy sources further.15,16,17 The CPF is intended to “provide greater support
and certainty to the price of carbon in the power sector to encourage investment in low-
carbon electricity generation”.
7
13. References
1. WEF’s The Global Competitiveness Report for 2011-12, 2011.
2. Ruth Lea, “Britain needs a really radical growth programme”, in The Future of
Conservatism, editors David Davis, Brian Binley and John Baron, ConservativeHome,
2011.
3. Ruth Lea and Jeremy Nicholson, British Energy Policy and the Threat to Manufacturing
Industry, Civitas, July 2010.
4. DECC, Estimated impacts of energy and climate change policies on energy prices and
bills, November 2011. The energy division of BERR and the climate change
responsibilities of DEFRA were transferred to the new Department of Energy and
Climate Change (DECC) in October 2008. Website: www.decc.gov.uk. These costs mainly
comprise Feed-in Tariffs, the Climate Change Levy (CCL), Carbon Price Floor (CPF, from
2013), Renewables Obligation (RO) and the EU Emissions Trading System (ETS). The data
were released before the Autumn Statement.
5. HM Treasury, Autumn Statement 2011, Cm8231, November 2011. The Autumn
Statement announced that “…the Government intends to implement measures to
reduce the impact of policy on the costs of electricity for the most electricity-intensive
industries, beginning in 2013 and worth around £250m over the Spending Review
period. As part of this the Government will: (i) compensate key electricity-intensive
businesses to help offset the indirect cost of the carbon price floor and the EU Emissions
Trading System, subject to state aid guidelines; and (ii) increase the level of relief from
the climate change levy on electricity for Climate Change Agreement participants to
90%.” The Treasury’s measures are unlikely to offset the extra costs arising from “green
energy” policies.
6. Previous estimates were released in DECC, Provisional estimates of the impacts of
energy and climate change policies on prices and bills of large energy users, July 2011.
7. HM Government, The UK Renewable Energy Strategy, July 2009.
8. International Energy Agency (IEA), CO2 emissions from fuel combustion, highlights, 2011
edition, www.iea.org. CO2 emission sources include emissions from the energy industry,
8
14. from transport, from fuel combustion in industry, services, households, etc. and
industrial processes, such as the production of cement.
9. IEA, “Prospect of limiting the global increase in temperature to 2oC is getting bleaker”,
May 2011, www.iea.org. The IEA wrote “…while the IEA estimates that 40% of global
emissions came from OECD countries in 2010, these countries only accounted for 25% of
emissions growth compared to 2009. Non-OECD countries – led by China and India - saw
much stronger increases in emissions as their economic growth accelerated.”
10. Under the Kyoto Protocol (1997) the EU15 agreed to cut GHG emissions by 8% by 2008-
12 compared with 1990 levels. Under the “burden sharing” scheme of 2002, different
member states were allocated different emissions targets. Germany, for example,
agreed to a cut of 21% (possible because of the collapse of much of eastern Germany’s
industry) whilst the UK agreed to a cut of 12.5%. Spain, on the other hand, was
permitted an increase of 15% and Greece an increase of 25%. The planned cut in the
UK’s first Carbon Budget (2008-12) is 22%. Kyoto’s GHG comprise: CO2, methane, nitrous
oxide, hydrofluorocarbons, perflurocarbons & sulphur hexafluoride, converted into CO2
equivalent units.
11. Redpoint Energy, Electricity market reforms: an analysis of policy options, December
2010.
12. Ruth Lea and Jeremy Nicholson, British Energy Policy and the Threat to Manufacturing
Industry, Civitas, July 2010, discusses the challenges presented by the Renewables
Directive.
13. DECC, “Fourth Carbon Budget: oral ministerial statement by Chris Huhne”, 17 May 2011.
14. BBC, “Climate talks end with late deal”, 11 December 2011.
15. HM Treasury and HMRC, “Carbon price floor: support and certainty for low-carbon
investment”, consultation document, December 2010.
16. The Government announced in the March 2011 Budget that the carbon price support
would be introduced via the Climate Change Levy and fuel duty with a target price of
£30 per tonne of carbon dioxide (£30/tCO2) in 2020. See House of Commons Library,
9
15. “Carbon Price Support”, October 2011.
17. DECC, “Planning our electric future: a White Paper for secure, affordable and low-carbon
electricity: Electricity Market Reform (EMR) White Paper 2011”, July 2011.
10
16. Chapter 2:
Electricity generation costs
Preliminary remarks
Electricity generation is a major contributor to Britain’s CO2 emissions. In 2010 it accounted
for nearly a third of total emissions.1 The sector is significantly affected by the Government’s
climate change and renewables policies. And the carrots and sticks listed at the end of
chapter 1 are very relevant to electricity generation, adding to costs.
Britain’s technology of choice in order to meet the twin targets of cutting CO2 emissions and
boosting renewables is wind power, which is very costly. The Government is also pressing for
new nuclear build in order to reduce CO2 emissions.
Estimates of electricity generation costs: Mott MacDonald
The engineering consultancy Mott MacDonald was commissioned by DECC to update UK
electricity generation costs in 2009 and its report was released in June 2010.2 They
calculated the “levelised generation costs” for several technologies, which can be defined as
“the lifetime discounted costs of ownership of using a generation asset, converted into an
equivalent unit cost of generation in £/MWh or p/kWh”. These costs are sometimes called
the “life cycle costs”, emphasising the “cradle to grave” aspect of the definition.
Mott MacDonald emphasised that estimating such costs was far from straightforward, there
were great uncertainties and that many assumptions about fuel prices and the maturity of
technology have to be made (for example). They costed both major and minor electricity
generating technologies including biomass and hydro, see annex table 1 for details.
The major technologies included the following:
Gas-fired combined-cycle gas turbines (CCGT).
Advanced supercritical (ASC) coal-fired power plants.
Gas CCGT with carbon capture and storage (CCS).
Coal (ASC) with CCS.
11
17. Onshore wind.
Offshore wind.
Nuclear pressurised water reactors (PWR).
For the major technologies Mott MacDonald considered ten different cases, using different
assumptions about the timing of the project, the discount rate used, the maturity of certain
technologies, and fuel and carbon prices. The maturities of the technologies were assigned
as either “first of a kind” (FOAK) for new, immature technologies and “nth of a kind” (NOAK)
for mature technologies.
The ten cases are listed in annex table 2. For this paper just two have been chosen:
Case 2, a near-term project: taking 2009 for the start date, with a 10% discount rate,
mixed maturity of technologies and using DECC’s central fuel and carbon prices
projections (annex table 3 lists the detailed projections). CCGT, ASC coal and onshore
wind were regarded as mature (NOAK) technologies. The other technologies were not
(i.e. they were FOAK).
Case 5, a medium-term project: taking 2017 for the start date, with a 10% discount rate,
all mature (NOAK) technologies and using DECC’s central fuel and carbon prices
projections.
Mott MacDonald: chosen near-term project
Charts 1a and 1b show the levelised generation costs (LGC) of electricity for the chosen near-
term project (2009, case 2), in terms of £/MWh.3
Chart 1a omits the carbon costs. Under these circumstances the ASC coal-fired plants and
the unabated gas CCGTs are clearly the lowest cost generators. Offshore wind and gas and
coal with CCS are the most costly. Integrating CCS into coal or gas-fired plant substantially
raises the capital costs.
If the carbon costs are taken into account (chart 1b) the gas CCGT is the least costly, with
onshore wind in second place. Coal-fired plants without CCS especially suffer from the
imposition of carbon costs. But, as we discuss below, the costs of wind generation as
calculated by Mott MacDonald significantly underestimate the true costs. The discussion
12
18. below shows that the inclusion of the additional costs associated with wind generation
radically undermines wind’s relatively favourable cost position.
Chart 1a: MM case 2, 2009 project start, levelised generation costs excluding carbon costs,
£/MWh
160
CO2 transport &
140 storage
120 Decomm. & waste
fund
100
Fuel costs
80
60 Variable operating
40 costs
Fixed operating costs
20
0 Capital costs
Gas CCGT Gas CCGT + ASC coal ASC coal + Onshore Offshore Nuclear
CCS CCS wind wind PWR
Chart 1b: MM case 2, 2009 project start, levelised generation costs including carbon costs,
£/MWh
160
140
120
100 Carbon costs
80
60 Total exc carbon
40 costs
20
0
Gas CCGT Gas CCGT + ASC coal ASC coal + Onshore Offshore Nuclear
CCS CCS wind wind PWR
Source: Mott MacDonald, UK electricity generation costs update, June 2010.
Mott MacDonald: chosen medium-term project
Charts 2a and 2b show Mott MacDonald’s cost estimates for the chosen medium-term
project, with a project start-date of 2017 (case 5).
Before the additions of the carbon costs (chart 2a), coal and gas remain the cheapest
technologies, with nuclear a close third. After taking carbon costs (chart 2b) into account
13
19. nuclear is the most cost-effective, with gas and especially coal significantly more expensive
because of the high (and increasing) carbon costs. Onshore and offshore wind as calculated
by Mott MacDonald are more expensive than nuclear, even before taking into account the
very significant additional costs.
Chart 2a: MM case 5, 2017 project start, levelised generation costs excluding carbon costs,
£/MWh
120
100 CO2 transport & storage
80 Decomm. & waste fund
Fuel costs
60
Variable operating costs
40
Fixed operating costs
20
Capital costs
0
Gas CCGT Gas CCGT ASC coal ASC coal + Onshore Offshore Nuclear
+ CCS CCS wind wind PWR
Chart 2b: MM case 5, 2017 project start, levelised generation costs including carbon costs,
£/MWh
140
120
100
80 Carbon costs
60
Total exc carbon costs
40
20
0
Gas CCGT Gas CCGT ASC coal ASC coal + Onshore Offshore Nuclear
+ CCS CCS wind wind PWR
Source: Mott MacDonald, UK electricity generation costs update, June 2010.
Wind: a special case
As we have already pointed out the estimates by Mott MacDonald flatter wind-power as
they made no allowance for any add-on costs. One of the main reasons is that wind-power is
unreliable and requires conventional back-up generating capacity when wind speeds are, for
example, very low or rapidly varying, which increases the overall costs of wind-power. Mott
14
20. MacDonald assumed load factors of just 25-31% for onshore wind and 35-45% for offshore
wind.4
However it should be noted that even these figures for load factors can give an impression
of greater reliability than is actually the case. In spells of very cold weather associated with
high pressure areas, when there is enhanced demand for electricity, there tends to be very
little wind. This analysis was confirmed by BBC weatherman Paul Hudson, who wrote in
January 2011:5
“…during the recent intense cold weather, it’s been our traditional coal and gas fired
power stations that have been working flat out to keep our homes and businesses
warm. And for the third winter running, the intense cold has gone hand in hand with
periods of little or no wind. This should come as no surprise since prolonged cold is
invariably associated with areas of high pressure”.
The following chart (chart 3) was included in this BBC report. Wind’s contribution to total
electricity output (53,020 Megawatts) on 21 December 2010 was, according to the BBC,
0.04%. This insight is a useful answer to those who say “the wind is always blowing
somewhere” in defence of wind-power. In Britain on very cold days it effectively is not.
Twenty Megawatts of generation should also be seen in the context of the estimates for
plant capacity. Plant capacity has been calculated to be over 5½ thousand Megawatts, see
annex table 4b.
Chart 3: Electricity generation, 21 December 2010, Megawatts
25,000 23,000
22,000
20,000
15,000
Electricity
generation
10,000 8000
5,000
20
0
Coal Gas Nuclear Wind
Source: Paul Hudson, “Coal takes the strain...again”, BBC website, 10 January 2011.
15
21. There are several estimates of the additional costs associated with wind-power. For example
Parsons Brinckerhoff (PB) Power, in a report for the Royal Academy of Engineering (RAE),
estimated in 2004 that stand-by costs could add around 45% to the costs for onshore wind
and 30% to the costs for offshore wind.6
More recent and detailed estimates are provided in a paper by Colin Gibson, Power Network
Director at the National Grid Group (1993-97),7 which are quoted in a recent paper by the
Renewable Energy Foundation.8 Gibson’s cost estimates, the caveats on the accuracy of
which are discussed in his paper, are shown in table 1 below.
Gibson identifies three separate additional costs: 9
The Extra System Costs, which refer to the costs of fast response plant to address the
intermittency, the uncontrolled variability, of wind in the operational timescale, i.e. in
the very short term, or minutes or hours.10
The Planning Reserve, which refers to the need to maintain an under-utilized
conventional fleet equivalent to peak load (plus a margin) to cover periods when output
from the wind fleet falls to extremely low levels – in common parlance “when there’s
little or no wind”. Gibson assumes a level of 8% of installed wind capacity.
Required Transmission, which describes the cost of grid needed to transport energy
from wind sites to consumers. Wind farms tend to be situated in the north of the
country in order to exploit higher wind speeds to improve load factors. But demand is
weighted towards the south of the country. This exacerbates the existing north to south
flow of power and brings forward requirements to reinforce the system.
Table 1: Additional system costs for onshore and offshore wind, £/MWh of wind-power
generated
Capital charges Total capital charges
Extra system
Technology for extra planning for required Total
operation costs
reserve transmission
Onshore 16 24 20 60
Offshore 16 28 23 67
Source: Renewable Energy Foundation, Energy policy and consumer hardship, 2011.
16
22. Incorporating the additional costs, and taking our two chosen Mott MacDonald cases as
illustrations, the cost of onshore wind would become quite uneconomic and offshore wind
even more absurdly expensive. Charts 4a and 4b show the effective generating costs
including the additional costs.
Chart 4a: MM case 2, 2009 project start, including additional costs, £/MWh
250
200 Additional costs
150
Carbon costs
100
Total exc carbon
50 costs
0
Gas CCGT Gas CCGT ASC coal ASC coal + Onshore Offshore Nuclear
+ CCS CCS wind wind PWR
Chart 4b: MM case 5, 2017 project start, including additional costs, £/MWh
200
180
160
140 Additional costs
120
100 Carbon costs
80
Total exc carbon
60
costs
40
20
0
Gas CCGT Gas CCGT ASC coal ASC coal + Onshore Offshore Nuclear
+ CCS CCS wind wind PWR
Main source: Mott MacDonald, UK electricity generation costs update, June 2010.
17
23. The costing of wind-power electricity generation is clearly very complex. But one conclusion
can safely be drawn and that is that wind-power is expensive – especially offshore. Under
these circumstances it seems unwise to be embarking on a huge programme of investment
in wind generated electricity, especially when the country is facing grave economic
challenges. This analysis also ignores the perceived environmental costs of wind-power,
especially onshore wind turbines.
Conclusions from the Mott MacDonald report: levelised costs
Tables 2a and 2b below rank the levelised costs, as calculated by Mott MacDonald, of the
seven technologies chosen for this paper. They are ranked in order from the least costly to
the most costly.
Table 2a: MM case 2, 2009 project start, levelised generation costs ranked
Excluding carbon Including carbon Also including
costs costs additional costs
Least expensive ASC coal Gas CCGT Gas CCGT
2nd Gas CCGT Onshore wind Nuclear
rd
3 Onshore wind Nuclear ASC coal
4th Nuclear ASC coal Gas + CCS
5th Gas + CCS Gas + CCS Coal + CCS
6th Coal + CCS Coal + CCS Onshore wind
Most expensive Offshore wind Offshore wind Offshore wind
18
24. Table 2b: MM case 5, 2017 project start, levelised generation costs ranked
Excluding carbon Including carbon Also including
costs costs additional costs
Least expensive ASC coal Nuclear Nuclear
2nd Gas CCGT Onshore wind Gas CCGT
3rd Nuclear Gas CCGT Gas + CCS
4th Onshore wind Gas + CCS Coal + CCS
5th Gas + CCS Coal + CCS ASC coal
6th Coal + CCS Offshore wind Onshore wind
Most expensive Offshore wind ASC coal Offshore wind
Main source: Mott MacDonald, UK electricity generation costs update, June 2010.
The main conclusions may be drawn for the MM data are:
Excluding carbon costs, coal-fired power stations would be the cheapest form of
generation for both the near-term and medium-term projects.
Including carbon costs, gas-fired power stations are the cheapest option for the near-
term projects, but nuclear power is the least expensive in the medium-term. Other
things being equal this would suggest that investment should be concentrated in gas and
nuclear technologies. A mix of technologies is preferable for operational reasons. Coal-
fired power stations become relatively uneconomic, reflecting the heavy carbon costs,
especially in the medium-term.
Onshore wind looks a relatively attractive proposition on the MM data, but once
allowance is made for the additional costs associated with wind-power, the attraction
fades. For both near-term and medium-term projects, onshore wind ceases to be a
competitive technology. The only rationale for Britain’s current “rush for wind” is the
Government’s attempt to meet its renewables target under the EU’s Renewables
Directive. There is no economic case for wind-power. Moreover, there is not even a CO2-
cutting case for wind-power, as is discussed in chapter 3.
Offshore wind, even before allowing for additional costs, and CCS technologies are
inordinately expensive.
19
25. Levelised generation costs: further reports
Since the release of the Mott MacDonald report DECC has commissioned two updates, see
annex table 6 for details:
For conventional electricity generation by Parsons Brinckerhoff (PB).11
For renewables by Ove Arup.12
Both PB and Arup considered two cases:
Case 1: near-term project, 2011 project start, FOAK/NOAK mix, an approximate update
of Mott MacDonald’s case 2 (2009 start data).
Case 2: medium-term project, 2017 project start, all NOAK, an approximate update of
Mott MacDonald’s case 5.
Charts 5a and 5b show the comparative estimates by PB and MM for conventional
technologies and by Arup and MM for renewables.13 We have included Round 3 (R3) of
offshore wind, as an eighth technology, in the charts below. The detailed calculations are
shown in annex table 7.
Chart 5a: Comparison of MM (case 2) and PB & Arup (case 1), levelised costs, £/MWh:
near-term project
200
180
160
140
120
100
80
60
40
20
0
MM, case 2 PB, case 1 MM, case 2 Arup, case 1
20
26. Chart 5b: Comparison of PB & Arup (case 2) and MM (case 5) levelised costs, £/MWh:
medium-term project
140
120
100
80
60
40
20
0
MM, case 5 PB, case 2 MM, case 5 Arup, case 2
Sources: Parsons Brinckerhoff, Electricity Generation Cost Model – 2011 update revision 1, for DECC,
August 2011; Mott MacDonald, UK electricity generation costs update, June 2010; Ove Arup &
Partners, Review of the generation costs and deployment potential of renewable electricity
technologies in the UK, for DECC, June 2011. The onshore wind figures refer to capacity greater than
5MW.
The final set of charts, 6a and 6b, make allowance for the additional costs of wind-power. As
with the calculations above, we have assumed additional costs of £60MWh for onshore wind
and £67MWh for offshore wind.
Chart 6a: Comparison of MM (case 2) and PB & Arup (case 1), levelised costs, £/MWh:
near-term project, including additional costs (wind)
300
250
200
150
100
50
0
MM, case 2 PB, case 1 MM, case 2 Arup, case 1
21
27. Chart 6b: Comparison of PB & Arup (case 2) and MM (case 5) levelised costs, £/MWh:
medium-term project, including additional costs (wind)
250
200
150
100
50
0
MM, case 5 PB, case 2 MM, case 5 Arup, case 2
Finally, tables 3a and 3b rank the levelised costs, as calculated by Parsons Brinckerhoff and
Arup, of the eight technologies chosen for this paper. They are ranked in order from the
least costly to the most costly. The main conclusions from the MM study of the comparative
costs of the different technologies are not fundamentally changed by the PB and Arup
analysis. Nuclear and gas remain the most competitive conventional technologies, given the
high carbon costs factored in, whilst onshore wind gives the superficial appearance of being
competitive but when allowance is made for the substantial add-on costs it loses its appeal.
Offshore wind, even without any add-on costs, remains expensive, especially R3. Specifically,
PB costings show that nuclear has an advantage over gas both for the near-term and the
medium-term projects.
22
28. Table 3a: PB/Arup case 1, 2011 project start, levelised generation costs ranked
Including carbon costs Also including additional costs
Least expensive Nuclear Nuclear
2nd Gas CCGT Gas CCGT
3rd Onshore wind ASC coal
4th ASC coal Gas + CCS
5th Gas + CCS Coal + CCS
6th Coal + CCS Onshore wind
7th Offshore wind Offshore wind
Most expensive Offshore wind, R3 Offshore wind, R3
Table 3b: PB/Arup case 2, 2017 project start, levelised generation costs ranked
Including carbon costs Also including additional costs
Least expensive Nuclear Nuclear
2nd Onshore wind Gas CCGT
3rd Gas CCGT Coal + CCS
4th Coal + CCS Gas + CCS
5th Gas + CCS ASC coal
6th ASC coal Onshore wind
7th Offshore wind Offshore wind
Most expensive Offshore wind, R3 Offshore wind, R3
23
29. References
1. DECC, “UK climate change sustainable development indicator: 2010 greenhouse gas
emissions, provisional figures”, March 2011. See also table 1, chapter 3.
2. Mott MacDonald, UK electricity generation costs update, June 2010.
3. Kilowatt hour (kWh) = 103 watt hours; Megawatt hour (MWh) = 106 watt hours;
Gigawatt hour (GWh) = 109 watt hours; Terawatt hour (TWh) = 1012 watt hours.
4. The load factor (or capacity factor) is the ratio of the actual output of a power plant over
a period of time and its potential output if it had operated at full “nameplate capacity”
the entire time.
5. Paul Hudson, “Coal takes the strain...again”, BBC website, www.bbc.co.uk, 10 January
2011.
6. RAE, “The cost of generating electricity”, Parsons Brinckerhoff (BP) Power, 2004.
7. Colin Gibson, “A Probabilistic Approach to Levelised Cost Calculations For Various Types
of Electricity Generation”, the Institution of Engineers and Shipbuilders in Scotland,
Energy Strategy Group, October 2011, www.iesisenergy.org/lcost. Gibson places caveats
on the accuracy of his cost estimates, which should be noted.
8. Renewable Energy Foundation, Energy policy and consumer hardship, 2011.
9. In addition, there are constraint costs. Congestion or constraint is the name given to the
access rights that cannot be used due to insufficient network capacity. Generators who
have paid for their access rights are entitled to compensation, constraint payments, if
their rights cannot be honoured. They are paid not to produce. Constraint payments are
higher for wind power generators than for fossil fuel generators. For example, BBC
Scotland, “Scots windfarms paid cash to stop producing energy”, 1 May 2011, reported
that 6 Scottish windfarms had been paid up to £300,000 to stop producing energy. The
details emerged following research by the Renewable Energy Foundation (REF).
10. UKERC defined the “system reliability costs of intermittency” as the difference between
the contributions to reliability made by intermittent generation plant, on the one hand,
and by conventional generation plant, on the other. See UKERC, “The costs and impacts
24
30. of intermittency: an assessment of the evidence on the costs and impacts of
intermittent generation on the British electricity network”, March 2006.
11. Parsons Brinckerhoff, Electricity Generation Cost Model – 2011 update revision 1, for
DECC, August 2011, available from www.pbworld.co.uk
12. Ove Arup & Partners, Review of the generation costs and deployment potential of
renewable electricity technologies in the UK, for DECC, June 2011, available from
www.arup.com
13. The Renewable Energy Foundation (REF), Renewable energy in the countryside: rewards
and risks: a study for CPRE Devon, September 2011, discusses both the PB and the Arup
reports.
25
31. Chapter 3:
Cutting greenhouse gas emissions
Britain’s greenhouse gas emissions
The UK’s greenhouse gas emissions are shown in table 1. They totalled 492MtCO2e in 2010,
over 16% lower than in 1990. The Energy sector emitted nearly 40% of these greenhouse
gases (191MtCO2e) in 2010, with power stations contributing nearly a third of the total
(156MtCO2e).1
Table 1: Sources of greenhouse gas emissions, 1990, 2009, 2010, MtCO2e
2010 Change (%)
1990 2009 2010
(% share) 1990-2010
Energy supply 241 185 191 38.8% -20.8%
Of which:
Power stations 203 150 156 31.7% -23.1%
Transport 120 121 121 24.6% +0.8%
Residential 79 75 85 17.3% +13.3%
Business 110 76 78 15.9% -29.1%
Other 40 17 17 3.5% -57.5%
Total 590 474 492 100.0% -16.6%
Source: DECC, “UK climate change sustainable development indicator: 2010 greenhouse gas emissions,
provisional figures”, March 2011. Emissions related to the use of electricity generation are attributed to power
stations, the source of these emissions, rather than homes and businesses where the electricity is used. There
are rounding errors in the table.
Even though there was an increase in overall energy consumption between 1990 and 2010,
emissions from the energy sector fell by around 21%. Concerning power stations only, the
final consumption of electricity was around 18% higher in 2010 than in 1990 according to
DECC, with domestic electricity consumption almost 27% higher. However, emissions from
electricity generation decreased by 23% over the same period. The main reasons were:
firstly, improvements in the efficiency of electricity generation; and secondly, switching from
coal to less carbon intensive fuels such as gas. Clearly, the more efficient the plant, the lower
the emissions per unit of output will be, other things being equal. And, equally clearly,
26
32. switching from high carbon intensive coal to lower carbon intensive gas, the lower the
emissions per unit of output will be, other things being equal.
In 2010, gas usage for generation was at historically high levels, whilst use of coal in
generation had roughly halved since 1990. Gas-fired combined-cycle gas turbines (CCGTs)
represented around 37% of the total plant capacity (see table 6 in the annex), the majority
of which has been brought on-stream since 1990. Coal’s share of plant capacity is around
32%, although a significant proportion of this is scheduled to close over the next one to two
decades in response to EU Directives on emissions.2 Nuclear and wind currently account for
around 12% and 5-6% of plant capacity respectively.
The energy sector’s emissions rose by 3% in the year 2010. The increase can almost entirely
be attributed to power stations. Part of the increase was explained by higher demand for
electricity. But because of technical problems at some nuclear power stations, there was less
nuclear power available for electricity generation than in 2009, and more coal and gas were
used instead. This resulted in an increase of around 4% in emissions from electricity
generation.
Overall CO2 emissions reflect, of course, the mix of fuels used to generate electricity. The
proportions of coal (32.3%), gas (40.4%), nuclear (17.5%) and other fuels used for electricity
generation in 2010 are shown in chart 1. Note that the use of coal was roughly in proportion
to its share of plant capacity, whilst the deployment of gas and especially nuclear power was
higher than their share of plant capacity. Wind-power was significantly lower by a factor of
about five. Its contribution to Britain’s electricity demands was almost risible.
27
33. Chart 1: Fuel used for generation, all generating companies, share (%), in 2010
1.25
0.4 1.1
Coal
5.5
Oil
32.3 Gas
17.5
Nuclear
Hydro
Wind
1.5 Other
renewables
40.4
Other
Source: DECC, “Digest of UK energy statistics” (DUKES), annual tables, www.decc.gov.uk. The basic
data are in million tonnes of oil equivalent (Mtoe).
The challenge: draconian cuts in CO2 emissions
As discussed in chapter 1, the Government has set draconian emissions cutting targets.
Planned cuts are 28% (for 2012-17), 34% (2018-22) and 50% (2023-27) compared with the
1990 level. The overall target is to reduce emissions by 80% by 2050. Putting aside doubts
over the strategy, of which there are many, the key issue then becomes the most effective
way in which the cuts may be achieved.
As mentioned already a switch from coal-fired to gas-fired power stations reduces CO2
emissions. Redpoint Energy recently provided some calculations which suggested that, by
continuing with this policy, there could be a potential further 30% of CO2 emissions savings.3
Redpoint’s main conclusions were:
On a unit output basis, emissions averaged 452g/kWh of all electricity generated in
2009, down from 496g/kWh in 2008. Fossil fuel plants were responsible for the majority
of the emissions in 2009. On a unit output basis, these plants emitted 573g CO2/kWh of
electricity generated.4
However, there was a significant difference between the average CO2 emissions per unit
of output of a coal-fired generation plant (882g/kWh) and a gas-fired generation plant
28
34. (376g/kWh). The emissions per unit of output of a coal-fired plant were effectively over
twice that of a gas-fired plant. Total emissions were, therefore, very sensitive to the
relative balance of coal versus gas in the generation mix.
Redpoint calculated that if all of the electricity output produced by CCGT plant in 2009
had been generated from coal instead, there would have been an increase of around
75Mt in total CO2 emissions (40% above the actual 2009 level). Conversely, if all of the
output produced by coal plant in 2009 had instead been generated from CCGTs, there
would have been a reduction in CO2 of around 55Mt (30% below the actual 2009 level).
Continuing the switch from coal to gas is, therefore, an efficient way of cutting CO2
emissions. And as discussed in chapter 2, gas is one of the most cost-effective ways of
generating electricity. Policy-makers are of course also looking to other technologies to
reduce emissions, especially wind-power and nuclear power and also carbon capture and
storage (CCS). Again as discussed in chapter 2, nuclear power is cost effective, whilst wind-
power and CCS are not.
Wind-power is not effective in cutting CO 2 emissions
At first glance it could be assumed that wind-power could play a major part in cutting CO2
emissions. Once the turbines are manufactured (an energy-intensive business in itself) and
installed then emissions associated with the electricity could be expected to be zero - as
indeed for nuclear power.
But, as pointed out in chapter 2, wind-power is unreliable and intermittent and requires
conventional back-up plant to provide electricity when the wind is either blowing at very low
speeds (or not at all) or with uncontrolled variability (intermittency). Clearly the CO2
emissions associated with using back-up capacity must be regarded as an intrinsic aspect of
deploying wind turbines. This is all the more relevant given the relatively high CO2 emissions
from conventional plants when they are used in a back-up capacity.
As energy consultant David White has written: 5
“… (fossil-fuelled) capacity is placed under particular strains when working in this
supporting role because it is being used to balance a reasonably predictable but
fluctuating demand with a variable and largely unpredictable output from wind turbines.
29
35. Consequently, operating fossil capacity in this mode generates more CO2 per kWh
generated than if operating normally.”
“…it seems reasonable to ask why wind-power is the beneficiary of such extensive
support if it not only fails to achieve the CO2 reductions required, but also causes cost
increases in back-up, maintenance and transmission, while at the same time
discouraging investment in clean, firm generation.”6
In a comprehensive quantitative analysis of CO2 emissions and wind-power, Dutch physicist
C. le Pair has recently shown that deploying wind turbines on “normal windy days” in the
Netherlands actually increased fuel (gas) consumption, rather than saving it, when
compared to electricity generation with modern high-efficiency gas turbines.7,8 Ironically and
paradoxically the use of wind farms therefore actually increased CO2 emissions, compared
with using efficient gas-fired combined cycle gas turbines (CCGTs) at full power.
Conclusions
Britain has committed itself to draconian cuts in CO2 emissions. On the basis of the costings
discussed in chapter 2, nuclear power and gas-fired CCGT were the preferred technologies
for generating reliable and affordable electricity. On the basis of the evidence presented
above, these two technologies are also the preferred technologies for reducing CO2
emissions.
Wind-power fails the test on both counts. It is expensive and yet it is not effective in cutting
CO2 emissions. If it were not for the renewables targets set by the Renewables Directive,
wind-power would not even be entertained as a cost-effective way of generating electricity
or cutting emissions. The renewables targets should be renegotiated with the EU.
30
36. References
1. DECC, “UK climate change sustainable development indicator: 2010 greenhouse gas
emissions, provisional figures”, March 2011. Emissions related to the use of electricity
generation are attributed to power stations, the source of these emissions, rather than
homes and businesses where the electricity is used.
2. Redpoint Energy, Electricity market reforms: an analysis of policy options, December
2010. See also table 6a in the annex.
3. Redpoint Energy, Electricity market reforms: an analysis of policy options, December
2010.
4. The “emission factor” of a fuel is conventionally expressed in terms of the mass of CO2,
for example, emitted for every unit of energy delivered (gCO2/kWh).
5. David White, Reducing carbon dioxide emissions: estimating the potential contribution
from wind-power, Renewables Energy Foundation, December 2004. The author has held
a range of senior management posts with Esso Petroleum Co. and the Exxon Group.
6. Clean generation includes gas-fired CCGT generation, clean coal and nuclear. The answer
to David White’s wholly sensible point is that Britain has draconian renewables targets.
7. C (Kees) le Pair, “Electricity in the Netherlands: wind turbines increase fossil fuel
consumption & CO2 emissions”, October 2011. This paper is a short version of the Dutch
report “Gas, wind en CO2 op Schipol, de crash van de windmolens”, available from
www.clepair.net.
8. In his analysis Le Pair included the following factors: the energy needed to build and to
install wind turbines; the energy needed for cabling and net adaptation; and the
increased fuel consumption through partial replacement of efficient generators by low-
efficiency, fast reacting open cycle gas turbines (OCGTs).
31
37. Annex
Table 1: Mott MacDonald analysis: technologies considered
Major technologies Minor technologies
Gas-fired combined-cycle gas turbines (CCGT)* Biomass
Gas CCGT with carbon capture and storage Open Cycle Gas Turbine (OCGT)
(CCS)*
Advanced supercritical (ASC) coal-fired power Anaerobic digestion (AD) on agricultural wastes
plants*
Coal (ASC) with CCS* Landfill gas, sewage gas
Coal integrated gasification combined cycle Biomass, combined heat and power (CHP)
(IGCC)
Coal IGCC with CCS Gas fired CHP
Onshore wind* Reservoir hydro, hydro-pumped storage
schemes
Offshore wind* & offshore wind R3 (round 3)
Nuclear pressurised water reactors* (PWR)
Note: chapter 2 includes discussion of the levelised generation costs (LGC) for the starred
technologies.
32
38. Table 2: Mott MacDonald analysis: 10 case studies
Discount NOAK FOAK Prices of fuel,
Case Start-date
rate technologies technologies carbon
2009, based on Gas-fired CCGT; DECC’s central fuel
1 early 2010 EPC 10% ASC coal; onshore Other & carbon prices
prices wind assumptions
2009, projected
2* As case 1 As case 1 As case 1 As case 1
EPC prices
2013, projected
3 As case 1 As case 1 As case 1 As case 1
EPC prices
2017, projected
4 10% As case 1 As case 1 As case 1
EPC prices
2017, projected
5* 10% All None As case 1
EPC prices
2023, projected
6 10% All None As case 1
EPC prices
7 As case 1 7.5% As case 1 As case 1 As case 1
8 As case 6 7.5% As case 6 As case 6 As case 1
2017, projected
9 10% All None High fuel prices
EPC prices
Low fuel prices, flat
10 As case 9 As case 9 As case 9 As case 9 £20/tCO2 carbon
price
Source: Mott MacDonald, UK electricity generation costs update, June 2010.
EPC prices = Engineering, procurement and construction prices.
NOAK = Nth of a kind (as opposed to the first), i.e. mature technologies.
FOAK = First of a kind, i.e. immature technologies.
Note: chapter 2 includes discussion of the levelised generation costs (LGC) for the starred
cases.
33
39. Table 3a: DECC’s projections of real energy prices
Central prices scenario, October 2011,
Mid case, January 2009, 2008 prices
2011 prices
Gas Coal Coal Gas Coal Coal
(p/therm) ($/tonne) (£/tonne) (p/therm) ($/tonne) (£/tonne)
2008 58 147 92 Na Na Na
2010 58 110 69 44 93 60
2011 63 130 84
2012 69 130 84
2013 74 130 84
2014 80 127 82
2015 63 80 50 81 124 80
2016 81 121 78
2017 76 119 77
2018 70 116 75
2019 70 113 73
2020 67 80 50 70 110 71
2025 71 80 50 70 110 71
2030 74 80 50 70 110 71
Sources: (i) DECC, “Communication on DECC fossil fuel price assumptions”, January 2009
review of 2008 estimates, coal prices converted to sterling using $1.60 to the £. There were
4 scenarios: low global energy demand; timely investment & moderate demand (mid case);
high demand & producers’ market power; high demand & significant supply constraints.
Mott MacDonald used the mid case for 8 of its 10 cases and Parsons Brinckerhoff used the
mid case for both of its cases. Mott MacDonald added a delivery charge of £6/tonne for coal
and 2p/therm for gas to give a “burner tip” price. (ii) DECC, “DECC fossil fuel price
projections: summary”, October 2011, coal prices converted to sterling using $1.546 to the
£, central prices scenario. This document covers 3 scenarios (low, central, high for oil, gas
and coal prices) and gives the latest figures.
34
40. Table 3b: DECC’s projections of carbon prices, real terms, £/tCO2e
Central case, traded carbon Central case, total carbon price,
values, June 2010, 2009 prices October 2011, 2011 prices
2008 Na 19
2009 Na 12
2010 14.1 13
2011 14.3 13
2012 14.5 14
2013 14.7 16
2014 14.9 17
2015 15.1 19
2016 15.4 21
2017 15.6 22
2018 15.8 24
2019 16.1 26
2020 16.3 29
2021 21.7 33
2022 27.1 38
2023 32.4 42
2024 37.8 47
2025 43.2 51
2026 48.5 56
2027 53.9 61
2028 59.3 65
2029 64.6 70
2030 70 74
2040 135 143
Sources:
(i) DECC, “Updated short term traded carbon values for UK public policy appraisal”, June
2010. These values refer to the EU Allowances (EUA), under the EU’s Emissions Trading
System (ETS). Mott MacDonald used these central case traded carbon values for their 2010
analysis (cases 1-9). The average annual carbon price from 2010 to 2040 works out as
£54.3/t.
35
41. (ii) DECC, “Carbon values used in DECC’s energy modelling”, October 2011. The total carbon
price = the EUA price + the carbon price support rates (carbon price support (CPS) rates),
reflecting the introduction of the Carbon Price Floor (CPF) in 2013. Total carbon prices have
been calculated as follows:
For 2011 and 2012: the carbon price is in line with the projected EUA.
For 2013, the announced level of CPS (£4.71/tCO2, in 2011 prices) has been added to the
projected EUA.
For 2014 onwards, the price level is the higher of either the trajectory of the carbon
price floor or the EUA price.
(iii) See also DECC, “A brief guide to the carbon valuation methodology for UK policy
appraisal”, October 2011.
Table 4a: Plant capacity (UK), Megawatts
End December 2006 2007 2008 2009 2010
Major power producers:
Conventional steam stations: 33,608 33,734 32,423 32,431 32,439
Coal fired 22,882 23,008 23,069 23,077 23,085 (27.7%)
Oil fired 3,778 3,778 3,778 3,778 3,778 (4.5%)
Mixed or dual fired 6,948 6,948 5,576 5,576 5,576 (6.7%)
Combined cycle gas turbine stations 24,859 24,854 26,578 27,269 32,209 (38.7%)
Nuclear stations 10,969 10,979 10,979 10,858 10,865 (13.1%)
Gas turbines and oil engines 1,444 1,445 1,456 1,560 1,560 (1.9%)
Hydro-electric stations:
Natural flow 1,294 1,293 1,392 1,395 1,391
Pumped storage 2,726 2,744 2,744 2,744 2,744
Total hydro 4,020 4,037 4,136 4,139 4,135 (5.0%)
Wind Na 795 997 1,205 1,776 (2.1%)
Renewables other than hydro & wind 96 134 213 213 213 (0.3%)
Total transmission entry capacity 74,996 75,979 76,782 77,675 83,197 (100.0%)
Other generators:
Conventional steam stations 3,059 2,924 2,722 2,813 2,757
Combined cycle gas turbine stations 2,106 2,076 2,015 1,945 1,890
Hydro-electric stations (natural flow) 123 126 127 131 133
36
42. Wind 822 246 435 656 484
Renewables other than hydro & wind 1,296 1,391 1,365 1,547 1,747
Total capacity of own generating plant 7,407 6,763 6,664 7,091 7,011
All generating companies:
Conventional steam stations 36,667 36,658 35,145 35,244 35,196 (39.0%)
Combined cycle gas turbine stations 26,965 26,930 28,593 29,214 34,099 (37.8%)
Nuclear stations 10,969 10,979 10,979 10,858 10,865 (12.0%)
Gas turbines and oil engines 1,444 1,445 1,456 1,560 1,560 (1.7%)
Hydro-electric stations:
Natural flow 1,417 1,419 1,519 1,526 1,524 (1.7%)
Pumped storage 2,726 2,744 2,744 2,744 2,744 (3.0%)
Wind 822 1,042 1,432 1,860 2,260 (2.5%)
Renewables other than hydro & wind 1,392 1,525 1,578 1,760 1,960 (2.2%)
Total capacity 82,403 82,742 83,446 84,766 90,208
Source: DECC, Digest of UK Energy Statistics (DUKES), table 5.7, updated, July 2011,
www.decc.gov.uk.
Notes: (i) major wind farms have been included in major power producers since 2007; (ii)
small-scale hydro and wind capacity are shown on declared net capability basis and are de-
rated to account for this by factors of 0.365 and 0.43 respectively.
37
43. Table 4b Plant capacity for all generating companies (UK), with wind power not de-rated,
Megawatts
End December 2006 2007 2008 2009 2010
All generating companies:
Conventional steam stations 36,667 36,658 35,145 35,244 35,196 (37.8%)
Combined cycle gas turbine stations 26,965 26,930 28,593 29,214 34,099 (36.6%)
Nuclear stations 10,969 10,979 10,979 10,858 10,865 (11.7%)
Gas turbines and oil engines 1,444 1,445 1,456 1,560 1,560 (1.7%)
Hydro-electric stations:
Natural flow 1,417 1,419 1,519 1,526 1,524 (1.6%)
Pumped storage 2,726 2,744 2,744 2,744 2,744 (2.9%)
Wind, adjusted (not de-rated) figures 1,912 2,423 3,330 4,326 5,256 (5.6%)
Renewables other than hydro & wind 1,392 1,525 1,578 1,760 1,960 (2.1%)
Total capacity, wind adjusted 83,493 84,123 85,344 87,232 93,204
Notes: (i) no adjustment has been made to small-scale hydro; (ii) coal-fired plants account
for about 32% of plant capacity.
Table 4c: Wind-power capacity (Megawatts), operational wind farms
Onshore Offshore Total
Capacity Operational Capacity Operational Capacity Operational
(MW) wind farms (MW) wind farms (MW) wind farms
England 842.5 109 1,364.6 11 2,207.1 120
Northern
359.7 30 0 0 359.7 30
Ireland
Scotland 2,628.1 122 10.0 1 2,638.1 123
Wales 411.9 35 150.0 2 561.9 37
UK 4,242.3 296 1,524.6 14 5,766.9 310
Source: UK Wind Energy Database – UKWED, RenewableUK (formerly BWEA, British Wind
Energy Association), www.bwea.com, October 2011.
38
44. Table 5: Fuel used for generation, Million tonnes of oil equivalent (Mtoe)
2006 2009 2010
Major power producers:
Coal 35.0 23.8 24.8 (40.0%)
Oil 1.0 1.0 0.6 (0.8%)
Gas 23.9 28.2 29.4 (41.5%)
Nuclear 17.1 15.2 13.9 (19.6%)
Hydro (natural flow) 0.3 0.4 0.2 (0.3%)
Wind Na 0.6 0.7 (1.0%)
Other renewables 0.7 0.7 1.0 (1.4%)
Net imports 0.6 0.2 0.2 (0.3%)
Total major power producers 78.7 70.2 70.9 (100.0%)
Of which:
Conventional thermal & other
38.4 26.5 27.5
stations +
CCGT 22.2 27.9 29.0
Other generators:
Transport undertakings:
Gas 0 0 0
Undertakings in industrial &
commercial sectors:
Coal 0.9 0.9 0.8
Oil 0.5 0.5 0.5
Gas 1.8 2.7 2.5
Hydro (natural flow) 0.1 0.1 0.1
Wind 0.4 0.2 0.2
Other renewables 1.7 3.3 3.4
Other fuels 1.6 1.0 0.8
Total other generators 9.0 8.6 8.4
All generating companies:
39
45. Coal 35.9 24.7 25.6 (32.3%)
Oil 1.4 1.5 1.2 (1.5%)
Gas 26.8 30.9 32.0 (40.4%)
Nuclear 17.1 15.2 13.9 (17.5%)
Hydro (natural flow) 0.4 0.5 0.3 (0.4%)
Wind 0.4 0.8 0.9 (1.1%)
Other renewables 3.5 4.0 4.4 (5.5%)
Other fuels 1.6 1.0 0.8 (1.0%)
Net imports 0.6 0.2 0.2 (0.25%)
Total all generating companies 87.7 78.8 79.3 (100.0%)
Source: DECC, “Digest of UK energy statistics” (DUKES), annual tables, www.decc.gov.uk
+ Mainly coal, but includes gas turbines, oil engines & plants using thermal renewable
sources.
Table 6a: Parsons Brinckerhoff updates, Arup updates: technologies considered
Major technologies, non-renewable (PB) Renewable technologies (Arup)
Gas-fired combined-cycle gas turbines (CCGT) Onshore wind
Gas CCGT with carbon capture and storage (CCS) Offshore wind
Advanced supercritical (ASC) coal-fired power Hydro
plants
Coal (ASC) with CCS Marine
Coal integrated gasification combined cycle Geothermal
(IGCC)
Coal IGCC with CCS Solar PV (photovoltaic)
Nuclear pressurised water reactors (PWR) Dedicated biomass (solid), biomass co-firing,
biomass conversion, bioliquids
Energy from waste, Anaerobic digestion
Landfill gas, sewage gas
Renewable combined heat and power (CHP)
40
46. Table 6b: Comparison of case studies by PB, Arup and Mott MacDonald
Parsons Brinckerhoff, conventional
Discount FOAK
Case Start-date NOAK technologies Prices
rate technologies
DECC’s central fuel
2011, projected Including gas-fired
1 10% Other and carbon prices
EPC prices CCGT; ASC coal
assumptions
2017, projected
2 10% All None As case 1
EPC prices
Arup, renewables
Discount FOAK
Case Start-date NOAK technologies Prices
rate technologies
2011, projected FOAK-NOAK
1 10% FOAK-NOAK mix Na
EPC prices mix
2017, projected
2 10% All NOAK None Na
EPC prices
Mott MacDonald
Discount FOAK
Case Start-date NOAK technologies Prices
rate technologies
2009, based on DECC’s central fuel
Gas-fired CCGT; ASC
1 early 2010 EPC 10% Other and carbon prices
coal; onshore wind
prices assumptions
2009, projected
2* As case 1 As case 1 As case 1 As case 1
EPC prices
2017, projected
5* 10% All None As case 1
EPC prices
Sources: (i) Parsons Brinckerhoff, Electricity Generation Cost Model – 2011 update revision 1,
for DECC, August 2011; (ii) Ove Arup & Partners, Review of the generation costs and
deployment potential of renewable electricity technologies in the UK, for DECC, June 2011
41
47. Table 7a: Comparison of PB case 1 with MM case 2, levelised costs, £/MWh
Gas CCGT + ASC coal + Nuclear
Gas CCGT ASC coal
CCS CCS PWR
PB case 1:
Costs excluding
58.5 102.4 47.6 102.6 74.1
carbon costs
Carbon costs 18.1 2.4 47.8 5.7 0
Total 76.6 104.8 95.4 108.3 74.1
MM case 2:
Costs excluding
64.6 109.2 61.9 129.7 97.1
carbon costs
Carbon costs 15.1 2.1 40.3 6.5 0
Total 79.7 111.4 102.2 136.2 97.1
Differences between PB (case 1) & MM (case 2):
Costs excluding
-6.1 -6.8 -14.3 -27.1 -23.0
carbon costs
Carbon costs 3.0 0.3 7.5 -0.8 0
Total -3.1 -6.6 -6.8 -27.9 -23.0
42
48. Table 7b: Comparison of PB case 2 with MM case 5, levelised costs, £/MWh
Gas CCGT + ASC coal + Nuclear
Gas CCGT ASC coal
CCS CCS PWR
PB case 2:
Costs excluding
60.6 90.7 47.6 85.5 64.9
carbon costs
Carbon costs 27.8 4.1 69.3 8.6 0
Total 88.4 94.8 116.9 94.1 64.9
MM case 5:
Costs excluding
66.6 98.5 59.4 100.5 67.8
carbon costs
Carbon costs 29.6 4.1 73.8 11.4 0
Total 96.5 102.6 133.2 111.9 67.8
Differences between PB (case 2) & MM (case 5):
Costs excluding
-6.0 -7.8 -11.8 -15.0 -2.9
carbon costs
Carbon costs 1.8 0 -4.5 -2.8 0
Total -4.2 -7.8 -16.3 -17.8 -2.9
43
49. Table 7c: Comparison of Arup analysis with MM, levelised costs, £/MWh
Onshore Offshore Offshore round 3
Arup case 1:
Total costs 90 (˃5MW) 132 (˃100MW) 149
MM case 2:
Total costs 87.8 148.5 177.4
Differences between Arup (case 1) & MM (case 2):
Total costs 2.2 -16.5 -28.4
Arup case 2:
Total costs 88 (˃5MW) 117 (˃100MW) 130
MM case 5:
Total costs 86.3 112.4 127.9
Differences between Arup (case 2) & MM (case 5):
Total costs 1.7 4.6 2.1
Source: (i) Parsons Brinckerhoff, Electricity Generation Cost Model – 2011 update revision 1,
for DECC, August 2011; (ii) Mott MacDonald, UK electricity generation costs update, June
2010; (iii) Ove Arup & Partners, Review of the generation costs and deployment potential of
renewable electricity technologies in the UK, for DECC, June 2011.
44