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CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China

Power sector is responsible for about 40% of the total CO(2) emissions in the world and plays a leading role in climate change mitigation. In this study, measures that lower CO(2) emissions from the supply side, demand side, and power grid are discussed, based on which, an integrated optimization mo...

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Detalles Bibliográficos
Autores principales: Dai, Pan, Chen, Guang, Zhou, Hao, Su, Meirong, Bao, Haixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Scientific World Journal 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504402/
https://www.ncbi.nlm.nih.gov/pubmed/23213305
http://dx.doi.org/10.1100/2012/907685
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author Dai, Pan
Chen, Guang
Zhou, Hao
Su, Meirong
Bao, Haixia
author_facet Dai, Pan
Chen, Guang
Zhou, Hao
Su, Meirong
Bao, Haixia
author_sort Dai, Pan
collection PubMed
description Power sector is responsible for about 40% of the total CO(2) emissions in the world and plays a leading role in climate change mitigation. In this study, measures that lower CO(2) emissions from the supply side, demand side, and power grid are discussed, based on which, an integrated optimization model of CO(2) mitigation (IOCM) is proposed. Virtual energy, referring to energy saving capacity in both demand side and the power grid, together with conventional energy in supply side, is unified planning for IOCM. Consequently, the optimal plan of energy distribution, considering both economic benefits and mitigation benefits, is figured out through the application of IOCM. The results indicate that development of demand side management (DSM) and smart grid can make great contributions to CO(2) mitigation of power sector in China by reducing the CO(2) emissions by 10.02% and 12.59%, respectively, in 2015, and in 2020.
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spelling pubmed-35044022012-12-04 CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China Dai, Pan Chen, Guang Zhou, Hao Su, Meirong Bao, Haixia ScientificWorldJournal Research Article Power sector is responsible for about 40% of the total CO(2) emissions in the world and plays a leading role in climate change mitigation. In this study, measures that lower CO(2) emissions from the supply side, demand side, and power grid are discussed, based on which, an integrated optimization model of CO(2) mitigation (IOCM) is proposed. Virtual energy, referring to energy saving capacity in both demand side and the power grid, together with conventional energy in supply side, is unified planning for IOCM. Consequently, the optimal plan of energy distribution, considering both economic benefits and mitigation benefits, is figured out through the application of IOCM. The results indicate that development of demand side management (DSM) and smart grid can make great contributions to CO(2) mitigation of power sector in China by reducing the CO(2) emissions by 10.02% and 12.59%, respectively, in 2015, and in 2020. The Scientific World Journal 2012-11-06 /pmc/articles/PMC3504402/ /pubmed/23213305 http://dx.doi.org/10.1100/2012/907685 Text en Copyright © 2012 Pan Dai et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Dai, Pan
Chen, Guang
Zhou, Hao
Su, Meirong
Bao, Haixia
CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China
title CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China
title_full CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China
title_fullStr CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China
title_full_unstemmed CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China
title_short CO(2) Mitigation Measures of Power Sector and Its Integrated Optimization in China
title_sort co(2) mitigation measures of power sector and its integrated optimization in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504402/
https://www.ncbi.nlm.nih.gov/pubmed/23213305
http://dx.doi.org/10.1100/2012/907685
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