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碳交易及模糊预算下火电企业碳减排最优策略研究

Research on Optimal Strategy of Carbon Emission Reduction for Thermal Power Enterprises Under Carbon Trading and Fuzzy Budget

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【作者】 檀勤良丁毅宏魏咏梅何晴刘亚龙姚洵睿

【Author】 TAN Qinliang;DING Yihong;WEI Yongmei;HE Qing;LIU Yalong;YAO Xunrui;School of Economics and Management,North China Electric Power University;Research Center for Beijing Energy Development;Beijing Key Laboratory of Renewable Electric Power and Low Carbon Development;School of Accountancy,Tianjin University of Commerce;

【通讯作者】 檀勤良;

【机构】 华北电力大学经济与管理学院北京市能源发展研究基地新能源电力与低碳发展研究北京市重点实验室天津商业大学会计学院

【摘要】 以火电企业碳减排策略为背景,将企业投资预算资金作为模糊变量,整合节能减排技术的成本及收益,以火电企业碳减排成本最小为目标构建碳减排策略选择模型。通过案例分析,研究了3种情景下企业策略选择和技术投入时序。结果表明:火电企业应主动开展节能减排技术改造;严苛的交易机制将增加技术应用数量并提早应用时间,且充足的预算资金有助于企业碳减排成本的降低;相比于投入成本的增加,碳交易成本的节约更为显著。模型可为火电企业制定减排策略提供参考。

【Abstract】 Based on the carbon emission reduction strategy of thermal power enterprises, the paper takes the investment budget of enterprises as a fuzzy variable, integrates the cost and benefit of energy saving and emission reduction technology, and builds a carbon emission reduction strategy selection model with the objective of minimizing the carbon emission reduction cost of thermal power enterprises. Through case analysis, the enterprise strategy selection and technology input timing in three scenarios are studied. Results show that thermal power enterprises should take initiative to carry out energy saving and emission reduction technology transformation. A strict trading system will increase the scale of technology applications and advance application time, and sufficient budget funds will help reduce the cost of carbon emission reduction. Reduction of carbon trading costs is more significant than increase of input costs. The model can provide reference for thermal power enterprises to formulate emission reduction strategies.

【基金】 教育部哲学社会科学重大课题攻关项目(18JZD032);国家自然科学基金项目(71874053,71373077)~~
  • 【文献出处】 电网技术 ,Power System Technology , 编辑部邮箱 ,2019年10期
  • 【分类号】X196;F426.61
  • 【网络出版时间】2019-08-28 08:30
  • 【被引频次】6
  • 【下载频次】448
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