DocumentCode :
2654013
Title :
Optimization on Chinese Power Source Structure Based on the Objective Programming
Author :
Shi, Yingling ; Pang, Nansheng ; Ding, Yawei ; Liu, Yuanyuan
Author_Institution :
Sch. of Bus. Manage., North China Electr. Power Univ., Beijing
fYear :
2009
fDate :
22-24 Jan. 2009
Firstpage :
599
Lastpage :
602
Abstract :
China´s thermal-power-led power structure has caused serious environmental pollution problems. The Energy Development Eleventh Five-year Plan of China proposes that China should reduce the emissions of the main pollutants and optimize the power structure. In this paper, we build the programming model to optimize the electric power structure and constraint the electricity production from the perspective of the economic and the environment. Then sensitivity analysis is undertaken on the basis of the optimized results. Through changing the order of priority of economic and environmental as well as emission performance of SO2 and CO2, the clean energy power generation may reach 27.68 % at the end of Eleventh Five-Year Plan , the SO2 and CO2 emissions go to 7.5 million tons and 2.32 billion tons. The research shows that the emission performance of CO2 should at most be 834.75 g/kWh; the total emission constraint can be satisfied.
Keywords :
air pollution control; optimisation; Chinese power source structure; electricity production; objective programming; pollutants; sensitivity analysis; thermal-power-led power structure; Constraint optimization; Environmental economics; Environmentally friendly manufacturing techniques; Power generation; Power generation economics; Power industry; Power system economics; Solar power generation; Thermal management; Thermal pollution; objective programming; optimization; power structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3330-8
Type :
conf
DOI :
10.1109/ICACC.2009.99
Filename :
4777412
Link To Document :
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