• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2013, Vol. 34 ›› Issue (11): 114-120.doi: 10.3969/j.issn.1000-7229.2013.11.023

• 运行与管理 • 上一篇    下一篇

电力行业污染物排放权交易模型

崔继宪1,李薇1,解玉磊1,付正辉1,臧宏宽2   

  1.  
    CUI Jixian1, LI Wei1, XIE Yulei1, FU Zhenghui1, ZANG Hongkuan2
  • 出版日期:2013-11-01
  • 作者简介:崔继宪(1990),男,硕士研究生,从事能源与环境系统优化研究工作,E-mail: cuijx89@sina.cn; 李薇(1974),女,博士,副教授,主要从事能源与环境系统优化、能源环境污染控制、节能减排理论研究等; 解玉磊(1985),男,博士研究生,从事环境系统模拟优化研究; 付正辉(1988),男,硕士研究生,从事能源与环境系统优化研究; 臧宏宽(1885),男,硕士,从事环境规划与管理,能源与环境系统优化。
  • 基金资助:

    环境保护部环境公益基金(201309163);广东电网公司广州电力科学研究院基金(K-GD2012-389)。

Pollutant-Emissions Trading Model in Power Industry

1.区域能源系统优化教育部重点实验室(华北电力大学),北京市 102206; 2.环境保护部环境规划院,北京市 100012   

  1. 1. Education Ministry Key Laboratory of Regional Energy System Optimization, North China Electric Power University, Beijing 102206, China;2. Chinese Academy for Environmental Planning, Beijing 100012, China
  • Online:2013-11-01

摘要:

了实现排污配额的优化配置,以某一区域的电力行业为例,基于电力企业运营资源费用、发电成本、污染物治理成本、污染物减排绩效、污染物排污交易价格以及污染物排放配额等因素,构建主要大气污染物(SO2、NOx、CO2)排污交易优化模型,采用多情景分析方法,对比分析各因素对电力行业污染物交易以及电厂运行的影响。结果表明,改变排放配额的交易价格和政府的绩效价格,各电厂的电力生产量以及区域的外购电量不变,但各电厂污染物的交易状况发生改变,出现多种交易类型。该模型能够有效解决区域环境治理及电力行业污染物减排问题,实现对区域污染物排放总量和优化能源结构的有效控制,为未来区域能源规划、区域环境质量改善、电厂运行优化以及建立区域污染物排放交易机制提供参考。

关键词: 电力行业, 节能减排, 排污交易, 优化模型

Abstract:

In order to achieve the optimal allocation of emission quotas, taking power industry in one region as an example, an optimization model is proposed for emission trading, in which SO2, NOx, CO2 were considered as the main atmospheric pollutants, with considering the factors like power enterprises operating resources cost, power cost, pollutant treatment cost, pollution emission reduction performance, the trading price and quotas of pollutant emission. Then, the impact of these factors on power industrys pollutant trading and power plant operation were compared and analyzed by using multi-scenario analysis method. The results show that when the trading price of emission quotas and the performance price of government are changed, the electricity generation of each power plant and the regional purchased electricity are unchanged, but the pollutant trading conditions of each power plant change and a variety of transaction types appear. This model can effectively solve the regional environmental governance and pollutant emission reduction of power industry, as well as can achieve the effective control of regional pollutant total emissions and energy structure optimization, which can provide references for the regional energy planning in the future, the regional environmental quality improvement, the optimization of power plant operation and the establishment of regional pollutant emission trading mechanism.

Key words: power industry, energy conservation and emission reduction, emission trading, optimization model