CO2 Mitigation Measures of Power Sector and Its Integrated Optimization in China
Joint Authors
Bao, Haixia
Dai, Pan
Zhou, Hao
Su, Meirong
Chen, Guang
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Power sector is responsible for about 40% of the total CO2 emissions in the world and plays a leading role in climate change mitigation.
In this study, measures that lower CO2 emissions from the supply side, demand side, and power grid are discussed, based on which, an integrated optimization model of CO2 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 CO2 mitigation of power sector in China by reducing the CO2 emissions by 10.02% and 12.59%, respectively, in 2015, and in 2020.
American Psychological Association (APA)
Dai, Pan& Chen, Guang& Zhou, Hao& Su, Meirong& Bao, Haixia. 2012. CO2 Mitigation Measures of Power Sector and Its Integrated Optimization in China. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-507160
Modern Language Association (MLA)
Dai, Pan…[et al.]. CO2 Mitigation Measures of Power Sector and Its Integrated Optimization in China. The Scientific World Journal No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-507160
American Medical Association (AMA)
Dai, Pan& Chen, Guang& Zhou, Hao& Su, Meirong& Bao, Haixia. CO2 Mitigation Measures of Power Sector and Its Integrated Optimization in China. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-507160
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507160