The Experts below are selected from a list of 21378 Experts worldwide ranked by ideXlab platform
Daniel Hach - One of the best experts on this subject based on the ideXlab platform.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
European Journal of Operational Research, 2016Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
European Journal of Operational Research, 2016Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Abstract Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain. We develop a dynamic Capacity investment model to assess the effect of different Capacity Market Design options in three scenarios: (1) no Capacity Market, (2) a Capacity Market for new Capacity only, and (3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy—affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
2015Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain. We assess the effect of different Capacity Market Design options in three scenarios: 1) no Capacity Market, 2) a Capacity Market for new Capacity only, and 3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy – affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy since it provides incentives for new generation investments. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction.
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Capacity Market Design options a Capacity expansion model and a gb case study
2014Co-Authors: Daniel Hach, Chi Kong Chyong, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain.We develop a Capacity expansion model to assess the effect of different Capacity Market Design options in three scenarios: 1) no Capacity Market, 2) a Capacity Market for new Capacity only, and 3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy - affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction. However, we emphasize that there is a significant downside of such an unequal treatment that should be considered when deciding on this Design option.
Stefan Spinler - One of the best experts on this subject based on the ideXlab platform.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
European Journal of Operational Research, 2016Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
European Journal of Operational Research, 2016Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Abstract Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain. We develop a dynamic Capacity investment model to assess the effect of different Capacity Market Design options in three scenarios: (1) no Capacity Market, (2) a Capacity Market for new Capacity only, and (3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy—affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
2015Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain. We assess the effect of different Capacity Market Design options in three scenarios: 1) no Capacity Market, 2) a Capacity Market for new Capacity only, and 3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy – affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy since it provides incentives for new generation investments. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction.
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Capacity Market Design options a Capacity expansion model and a gb case study
2014Co-Authors: Daniel Hach, Chi Kong Chyong, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain.We develop a Capacity expansion model to assess the effect of different Capacity Market Design options in three scenarios: 1) no Capacity Market, 2) a Capacity Market for new Capacity only, and 3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy - affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction. However, we emphasize that there is a significant downside of such an unequal treatment that should be considered when deciding on this Design option.
Chi Kong Chyong - One of the best experts on this subject based on the ideXlab platform.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
European Journal of Operational Research, 2016Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
European Journal of Operational Research, 2016Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Abstract Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain. We develop a dynamic Capacity investment model to assess the effect of different Capacity Market Design options in three scenarios: (1) no Capacity Market, (2) a Capacity Market for new Capacity only, and (3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy—affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction.
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Capacity Market Design options a dynamic Capacity investment model and a gb case study
2015Co-Authors: Chi Kong Chyong, Daniel Hach, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain. We assess the effect of different Capacity Market Design options in three scenarios: 1) no Capacity Market, 2) a Capacity Market for new Capacity only, and 3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy – affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy since it provides incentives for new generation investments. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction.
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Capacity Market Design options a Capacity expansion model and a gb case study
2014Co-Authors: Daniel Hach, Chi Kong Chyong, Stefan SpinlerAbstract:Rising feed-in from renewable energy sources decreases margins, load factors, and thereby profitability of conventional generation in several electricity Markets around the world. At the same time, conventional generation is still needed to ensure security of electricity supply. Therefore, Capacity Markets are currently being widely discussed as a measure to ensure generation adequacy in Markets such as France, Germany, and the United States (e.g., Texas), or even implemented for example in Great Britain.We develop a Capacity expansion model to assess the effect of different Capacity Market Design options in three scenarios: 1) no Capacity Market, 2) a Capacity Market for new Capacity only, and 3) a Capacity Market for new and existing Capacity. We compare the results along the three key dimensions of electricity policy - affordability, reliability, and sustainability. In a Great Britain case study we find that a Capacity Market increases generation adequacy. Furthermore, our results show that a Capacity Market can lower the total bill of generation because it can reduce lost load and the potential to exercise Market power. Additionally, we find that a Capacity Market for new Capacity only is cheaper than a Capacity Market for new and existing Capacity because it remunerates fewer generators in the first years after its introduction. However, we emphasize that there is a significant downside of such an unequal treatment that should be considered when deciding on this Design option.
Audun Botterud - One of the best experts on this subject based on the ideXlab platform.
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Capacity Market Design and renewable energy performance incentives qualifying Capacity and demand curves
The Electricity Journal, 2018Co-Authors: Conleigh Byers, Todd Levin, Audun BotterudAbstract:Abstract A review of Capacity Markets in the United States in the context of increasing levels of variable renewable energy finds substantial differences with respect to incentives for operational performance, methods to calculate qualifying Capacity for variable renewable energy and energy storage, and demand curves for Capacity. The review also reveals large differences in historical Capacity Market clearing prices. The authors conclude that electricity Market Design must continue to evolve to achieve cost-effective policies for resource adequacy.
Conleigh Byers - One of the best experts on this subject based on the ideXlab platform.
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Capacity Market Design and renewable energy performance incentives qualifying Capacity and demand curves
The Electricity Journal, 2018Co-Authors: Conleigh Byers, Todd Levin, Audun BotterudAbstract:Abstract A review of Capacity Markets in the United States in the context of increasing levels of variable renewable energy finds substantial differences with respect to incentives for operational performance, methods to calculate qualifying Capacity for variable renewable energy and energy storage, and demand curves for Capacity. The review also reveals large differences in historical Capacity Market clearing prices. The authors conclude that electricity Market Design must continue to evolve to achieve cost-effective policies for resource adequacy.
