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