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为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、NO x、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。
In order to optimize the allocation of emission allowances, taking a power industry in a certain region as an example, based on the cost of operating power resources, power generation costs, pollutant treatment costs, pollutant emission reduction performance, pollutant emission trading price and pollutant emission allowance Factor, build the optimization model of the emissions trading of the main air pollutants (SO2, NO x, CO2), and use the multi-scenario analysis method to compare and analyze the impact of various factors on the pollutant trading in the power industry and the operation of the power plant. The results show that changing the transaction quota of emission allowances and the government performance price, the electricity production of each power station and the electricity purchased in the region remain unchanged, but the trading conditions of pollutants in various power plants have changed and various types of transactions have emerged. The model can effectively solve the problem of regional environmental governance and pollutant emission reduction in the power industry, effectively control the total amount of pollutant emissions in the region and optimize the energy structure. This model can be used for future regional energy planning, improvement of regional environmental quality, operation optimization of power plants and establishment of regional Pollutant emissions trading mechanism for reference.