The Experts below are selected from a list of 58605 Experts worldwide ranked by ideXlab platform
Valerie M. Thomas - One of the best experts on this subject based on the ideXlab platform.
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an Electricity Generation planning model incorporating demand response
Energy Policy, 2012Co-Authors: D. G. Choi, Valerie M. ThomasAbstract:Energy policies that aim to reduce carbon emissions and change the mix of Electricity Generation sources, such as carbon cap-and-trade systems and renewable Electricity standards, can affect not only the source of Electricity Generation, but also the price of Electricity and, consequently, demand. We develop an optimization model to determine the lowest cost investment and operation plan for the generating capacity of an electric power system. The model incorporates demand response to price change. In a case study for a U.S. state, we show the price, demand, and Generation mix implications of a renewable Electricity standard, and of a carbon cap-and-trade policy with and without initial free allocation of carbon allowances. This study shows that both the demand moderating effects and the Generation mix changing effects of the policies can be the sources of carbon emissions reductions, and also shows that the share of the sources could differ with different policy designs. The case study provides different results when demand elasticity is excluded, underscoring the importance of incorporating demand response in the evaluation of Electricity Generation policies.
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An Electricity Generation planning model incorporating demand response
Energy Policy, 2012Co-Authors: D. G. Choi, Valerie M. ThomasAbstract:Energy policies that aim to reduce carbon emissions and change the mix of Electricity Generation sources, such as carbon cap-and-trade systems and renewable Electricity standards, can affect not only the source of Electricity Generation, but also the price of Electricity and, consequently, demand. We develop an optimization model to determine the lowest cost investment and operation plan for the generating capacity of an electric power system. The model incorporates demand response to price change. In a case study for a U.S. state, we show the price, demand, and Generation mix implications of a renewable Electricity standard, and of a carbon cap-and-trade policy with and without initial free allocation of carbon allowances. This study shows that both the demand moderating effects and the Generation mix changing effects of the policies can be the sources of carbon emissions reductions, and also shows that the share of the sources could differ with different policy designs. The case study provides different results when demand elasticity is excluded, underscoring the importance of incorporating demand response in the evaluation of Electricity Generation policies. © 2011 Elsevier Ltd.
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A MARKAL model of state Electricity Generation
Proceedings of the 2010 IEEE International Symposium on Sustainable Systems and Technology, 2010Co-Authors: Todd J. Levin, Valerie M. ThomasAbstract:We present a least-cost linear-optimization model of Electricity Generation using MARKAL that can be applied at the level of an individual state. Our methodology is applied to a case study of the state of Georgia and used to analyze the evolution of its Electricity Generation portfolio under different efficiency scenarios.
D. G. Choi - One of the best experts on this subject based on the ideXlab platform.
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an Electricity Generation planning model incorporating demand response
Energy Policy, 2012Co-Authors: D. G. Choi, Valerie M. ThomasAbstract:Energy policies that aim to reduce carbon emissions and change the mix of Electricity Generation sources, such as carbon cap-and-trade systems and renewable Electricity standards, can affect not only the source of Electricity Generation, but also the price of Electricity and, consequently, demand. We develop an optimization model to determine the lowest cost investment and operation plan for the generating capacity of an electric power system. The model incorporates demand response to price change. In a case study for a U.S. state, we show the price, demand, and Generation mix implications of a renewable Electricity standard, and of a carbon cap-and-trade policy with and without initial free allocation of carbon allowances. This study shows that both the demand moderating effects and the Generation mix changing effects of the policies can be the sources of carbon emissions reductions, and also shows that the share of the sources could differ with different policy designs. The case study provides different results when demand elasticity is excluded, underscoring the importance of incorporating demand response in the evaluation of Electricity Generation policies.
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An Electricity Generation planning model incorporating demand response
Energy Policy, 2012Co-Authors: D. G. Choi, Valerie M. ThomasAbstract:Energy policies that aim to reduce carbon emissions and change the mix of Electricity Generation sources, such as carbon cap-and-trade systems and renewable Electricity standards, can affect not only the source of Electricity Generation, but also the price of Electricity and, consequently, demand. We develop an optimization model to determine the lowest cost investment and operation plan for the generating capacity of an electric power system. The model incorporates demand response to price change. In a case study for a U.S. state, we show the price, demand, and Generation mix implications of a renewable Electricity standard, and of a carbon cap-and-trade policy with and without initial free allocation of carbon allowances. This study shows that both the demand moderating effects and the Generation mix changing effects of the policies can be the sources of carbon emissions reductions, and also shows that the share of the sources could differ with different policy designs. The case study provides different results when demand elasticity is excluded, underscoring the importance of incorporating demand response in the evaluation of Electricity Generation policies. © 2011 Elsevier Ltd.
Kazuya Watanabe - One of the best experts on this subject based on the ideXlab platform.
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Digestion of Algal Biomass for Electricity Generation in Microbial Fuel Cells
Bioscience Biotechnology and Biochemistry, 2013Co-Authors: Koichi Nishio, Kazuhito Hashimoto, Kazuya WatanabeAbstract:Algal biomass serves as a fuel for Electricity Generation in microbial fuel cells. This study constructed a model consortium comprised of an alga-digesting Lactobacillus and an iron-reducing Geobacter for Electricity Generation from photo-grown Clamydomonas cells. Total power-conversion efficiency (from Light to Electricity) was estimated to be 0.47%.
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plant microbe cooperation for Electricity Generation in a rice paddy field
Applied Microbiology and Biotechnology, 2008Co-Authors: Nobuo Kaku, Natsuki Yonezawa, Yumiko Kodama, Kazuya WatanabeAbstract:Soils are rich in organics, particularly those that support growth of plants. These organics are possible sources of sustainable energy, and a microbial fuel cell (MFC) system can potentially be used for this purpose. Here, we report the application of an MFC system to Electricity Generation in a rice paddy field. In our system, graphite felt electrodes were used; an anode was set in the rice rhizosphere, and a cathode was in the flooded water above the rhizosphere. It was observed that Electricity Generation (as high as 6 mW/m2, normalized to the anode projection area) was sunlight dependent and exhibited circadian oscillation. Artificial shading of rice plants in the daytime inhibited the Electricity Generation. In the rhizosphere, rice roots penetrated the anode graphite felt where specific bacterial populations occurred. Supplementation to the anode region with acetate (one of the major root-exhausted organic compounds) enhanced the Electricity Generation in the dark. These results suggest that the paddy-field Electricity-Generation system was an ecological solar cell in which the plant photosynthesis was coupled to the microbial conversion of organics to Electricity.
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Plant/microbe cooperation for Electricity Generation in a rice paddy field
Applied Microbiology and Biotechnology, 2008Co-Authors: Nobuo Kaku, Natsuki Yonezawa, Yumiko Kodama, Kazuya WatanabeAbstract:Soils are rich in organics, particularly those that support growth of plants. These organics are possible sources of sustainable energy, and a microbial fuel cell (MFC) system can potentially be used for this purpose. Here, we report the application of an MFC system to Electricity Generation in a rice paddy field. In our system, graphite felt electrodes were used; an anode was set in the rice rhizosphere, and a cathode was in the flooded water above the rhizosphere. It was observed that Electricity Generation (as high as 6 mW/m2, normalized to the anode projection area) was sunlight dependent and exhibited circadian oscillation. Artificial shading of rice plants in the daytime inhibited the Electricity Generation. In the rhizosphere, rice roots penetrated the anode graphite felt where specific bacterial populations occurred. Supplementation to the anode region with acetate (one of the major root-exhausted organic compounds) enhanced the Electricity Generation in the dark. These results suggest that the paddy-field Electricity-Generation system was an ecological solar cell in which the plant photosynthesis was coupled to the microbial conversion of organics to Electricity.
Aldo Roberto Ometto - One of the best experts on this subject based on the ideXlab platform.
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Life cycle assessment of the sugarcane bagasse Electricity Generation in Brazil
Renewable and Sustainable Energy Reviews, 2014Co-Authors: Diogo Aparecido Lopes Silva, Ivete Delai, Mary Laura Delgado Montes, Aldo Roberto OmettoAbstract:This paper aims to identify and quantify the main potential environmental impacts of the sugarcane bagasse Electricity Generation in Brazil. To do so, it was employed the Life Cycle Assessment (LCA) technique based on primary and secondary data from three previous studies encompassing Electricity Generation, transmission and distribution processes. It was identified that the main impact potentials of this type of Electricity Generation in Brazil that should be addressed by decision-makers are the photochemical ozone, the human toxicity via soil and the nutrient enrichment ones, which are caused mainly by the sugarcane straw burning prior harvesting and the chemical application. In addition, it was found that non-renewable resources, renewable resources and energy consumption are also important issues that should be addressed mostly in the process of Electricity transmission. © 2014 Elsevier Ltd.
Diogo Aparecido Lopes Silva - One of the best experts on this subject based on the ideXlab platform.
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Life cycle assessment of the sugarcane bagasse Electricity Generation in Brazil
Renewable and Sustainable Energy Reviews, 2014Co-Authors: Diogo Aparecido Lopes Silva, Ivete Delai, Mary Laura Delgado Montes, Aldo Roberto OmettoAbstract:This paper aims to identify and quantify the main potential environmental impacts of the sugarcane bagasse Electricity Generation in Brazil. To do so, it was employed the Life Cycle Assessment (LCA) technique based on primary and secondary data from three previous studies encompassing Electricity Generation, transmission and distribution processes. It was identified that the main impact potentials of this type of Electricity Generation in Brazil that should be addressed by decision-makers are the photochemical ozone, the human toxicity via soil and the nutrient enrichment ones, which are caused mainly by the sugarcane straw burning prior harvesting and the chemical application. In addition, it was found that non-renewable resources, renewable resources and energy consumption are also important issues that should be addressed mostly in the process of Electricity transmission. © 2014 Elsevier Ltd.
