Regional Energy Systems Planning And Strategy Development Based On Control Of Multiple Air Pollutants Emissions

Energy planning for realizing sustainability plays an important role for regional development,it integrates the distribution,utilization and development of resources and air pollution control into a framework.This thesis research proposes an inexact bi-level optimization method(IBOM)for comprehensive energy planning,it incorporates the regionally non-renewable and renewable electricity generation patterns and compounded air pollutant control strategies.This method integrates ordered weighted averaging operator based on Analytic Hierarchy Process(IOWA-AHP),interval linear programming(ILP),and bi-level programming method(BLP).This model can not only predict electric power demand in the long term,but also balance schemes between environmental and economic benefits.Meanwhile,the method can analyze the production and pollutant emission levels of the regional electric power consumption and energy system under variation in renewable energy proportion.To verify the effect of energy planning,a stochastic optimization method is put into consideration,and a SVM-based interval-stochastic mix-integer bi-level programming(SVM-ISMBOP)model is proposed,which integrates carbon emission trading(CET)and other pollutant controls within a hybrid renewable and nonrenewable energy planning.It can examine the impact factors between regionally comprehensive air pollutant emission abatement and power generation patterns.Moreover,the model would continuously focus on the tradeoff between system cost and pollutant emission abatement.These two models have been applied to practical situations in Shanxi Province to demonstrate their performance.It indicates that the highest satisfaction degree will be achieved when the renewable proportion is 20% and CO2 reduction level is 40% in the first and second case,respectively.Result from the models have provided decision support for determining renewable energy proportion,electricity generation,capacity expansion,amount of imported electricity,as well as pollutant emission abatement scheme.Moreover,both of the two models can help to make decisions between system cost and environmental benefits.The application of the models can provide feasible decision making for the provincial scale energy management.