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不同排污收费情景下的发电企业减排模型研究
引用本文:李薇,周肖楠,解玉磊,李亚楼,张宏亮.不同排污收费情景下的发电企业减排模型研究[J].中国环境科学,2013,33(8):1529.
作者姓名:李薇  周肖楠  解玉磊  李亚楼  张宏亮
摘    要:考虑未来多种污染物排污收费情景及区域电力需求的固有随机特性,建立了2阶段电源规划优化模型,分析了不同排污收费情景、不同电力需求水平下的区域电力结构变化以及污染物和CO2减排策略.在同时征收SO2排污费和CO2排放费的情景(情景3)下,清洁能源发电在发电系统中的比重增加,以煤电为主的火电比重下降;系统减排CO2 8.438′106t,同时协同减排SO2 5202t、NOx 7854t、颗粒物17.42t,但系统费用会显著增加.在同时征收SO2、NOx排污费和CO2排放费的情景下,系统减排SO2 8515t、NOx 13878t、颗粒物23.52t、CO2 12.988′106t,同时系统费用也会进一步增加.在目前征收SO2排污费的基础上征收CO2排放费或同时征收NOx排放费和CO2排放费,可以提高清洁发电方式在发电系统中的比重,降低SO2、NOx和CO2的排放量.

关 键 词:区域电力结构  两阶段规划  排污收费  节能减排  情景分析  

Power enterprises emission reduction model under different scenarios of pollutant charges
LI Wei,ZHOU Xiao-Nan,JIE Yu-Lei,LI Ya-Lou,ZHANG Hong-Liang.Power enterprises emission reduction model under different scenarios of pollutant charges[J].China Environmental Science,2013,33(8):1529.
Authors:LI Wei  ZHOU Xiao-Nan  JIE Yu-Lei  LI Ya-Lou  ZHANG Hong-Liang
Abstract:A two-stage stochastic programming model was developed in consideration of the stochastic demand of regional power system and different scenarios of pollutant charge. The strategy of adjusting the regional electric power structure and pollutants and CO2 mitigation under different scenarios was analyzed .When collecting emission charge of SO2 and CO2 (scenario 3) a part of coal-fired power generation would be replaced by clean energy, and the system would reduce CO2 emission8.438′106t, with a synergistic effect of mitigating SO2 5202t, NOx 7854t and PM 17.42t. When collecting NOx pollutant charge on the basis of scenario 3, the system would reduce the emission of SO2 8515t、NOx 13878t、PM 23.52t and CO2 12.988′106t. Emission charge of CO2would increase system cost largely. The results of the model indicated that collecting emission charge of CO2 or CO2 and NOx on the basis of SO2 pollutant charge would increase the proportion of clean energy in power generation, and reduce the emission of SO2, NOx and CO2.
Keywords:regional power structure  two-stage stochastic programming  pollutant charge  energy saving and emission reduction  scenario analysis  
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