CO2Mitigation Measures of Power Sector and Its Integrated Optimization in China
Author(s) -
Pan Dai,
Guang Chen,
Hao Zhou,
Meirong Su,
Haixia Bao
Publication year - 2012
Publication title -
the scientific world journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.453
H-Index - 93
eISSN - 2356-6140
pISSN - 1537-744X
DOI - 10.1100/2012/907685
Subject(s) - environmental economics , smart grid , business , demand side , grid , plan (archaeology) , china , power (physics) , computer science , energy sector , natural resource economics , supply side , power grid , environmental science , environmental resource management , economics , commerce , engineering , electrical engineering , physics , geometry , mathematics , archaeology , quantum mechanics , political science , law , history
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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