Search

Air pollution control is important work and realizing the effect of treatment has a significance on follow-up policy-making and perfection of closed-loop management. Based on the principle of post control, the article constructs a comprehensive decision-making framework for air pollution control effect evaluation. Firstly, considering the impact of sustainable development, the evaluation index system is established from environmental, social and economic aspects. Secondly, the improved hesitant fuzzy linguistic set, fuzzy analytical network process and cloud fuzzy synthetic evaluation are employed as core methods to determine the air pollution control effect. Then, the decision framework is applied in a case study and the result shows that the effect of air pollution control in the region is at a good level. Further, the stability and applicability of the framework are proved through sensitivity and comparative analysis. Finally, suggestions to improve the effectiveness of air pollution control are put forward.

In this study, considering break the original energy structure dominated by coal and make the most use of renewable energy in the future, an inexact stochastic robust mixed-integer programming (ITSRMP) method was developed for supporting regional electric power system management in Tangshan City, China. The developed method incorporated interval-parameter programming (IPP), stochastic robust optimization (SRO), two-stage stochastic programming (TSP), and mixed integer programming (MIP) within a general optimization framework to reflect uncertainties expressed as interval values and probability distributions in the regional electric power system. Three scenarios corresponding to different subsidy price levels and three cases associated with different pollutants emission reduction levels were designed. The electricity generation schemes, facility-expansion, pollutant emission, and system cost considering the subsidy policy and air pollution mitigation control had been obtained. The results indicated that subsidy policy would exert an important influence on the development of Tangshan's electric power system, which can reduce the cost advantage of conventional power generation and enhance the development enthusiasm of renewable power generation to power enterprises. In detail, the electricity generation amount of renewable energy would increase with the improvement of subsidy price level. Moreover, decision makers could identify the possible policy implementations and enforcements under considering the trade-off among system economy, security and environmental objectives. The modeling results were valuable for promoting new energy accommodation and supporting the sustainable development of social economy.