摘要
在电力生产碳排放效率测算数据基础上,利用数据包络分析法超效率模型计算得到了碳交易价格、碳捕集比例、碳捕集成本、火力发电占比这4种因素对电力行业碳效率的影响规律,以及各因素的协同影响特性。结果显示,进行碳交易使发电运行成本提高,碳排放效率下降;在CO_(2)的捕集成本为110元/t、碳交易价格为60元/t时,需捕集约13%的碳,碳排放效率才能回复到基础情况;火力发电占比的下降,将使得碳排放效率提升;火力发电量占比5%的降幅,能够平衡60元/t的碳交易价格影响;降低火力发电占比对碳排放效率的提升幅度是进行碳捕集的3倍以上;在碳达峰情况下,算例省的电力生产碳排放效率属于无效的情况,需进一步提升。进行碳捕集与降低火力发电占比具有良好的协同作用;这2种技术路线协同推进,能有效提升电力生产的碳排放效率。
Based on the carbon emission efficiency measurement data of electric power production,using the super efficiency model of the data envelopment analysis method,this paper made calculations and analysis and the influence law of four factors on carbon efficiency of electric power industry,namely that carbon trading price,carbon capture ratio,carbon capture cost and thermal power generation ratio are obtained,as well as the synergistic influence characteristics of each factor.The result shows that conducting carbon trading makes the operating cost of power generation increase and carbon efficiency decrease.When the capture cost of CO_(2) is 110 yuan/t and the carbon trading price is 60 yuan/t,about 13% of carbon needs to be captured for carbon efficiency can return to the base case.The decrease in the proportion of thermal power generation will make the carbon emission efficiency increase.A 5% reduction in the share of thermal power generation can balance the impact of a carbon trading price of 60 yuan/t.Reducing the share of thermal power generation can improve the carbon emission efficiency by more than three times than that of carbon capture.In the case of carbon peaking,the carbon efficiency of electricity production industry of the calculated province is still ineffective,and further improvements are needed.Carbon capture has a good synergistic effect with reducing the share of thermal power generation.The synergistic promotion of these 2 technical routes can effectively improve the carbon emission efficiency of power production.
作者
李伟
高舒慈
卢灿
LI Wei;GAO Shuci;LU Can(Department of Economics and Management,North China Electric Power University,Baoding 071003,China)
出处
《电力科学与工程》
2022年第11期49-57,共9页
Electric Power Science and Engineering
基金
河北省社会科学基金(HB21YJ053)。
关键词
电力生产
碳排放效率
碳捕集
能源成本
electricity production
carbon emission efficiency
carbon capture
energy costs