Enhancement of economic and ecological sustainability through integrated management of coal and electricity in north China

作     者：Y. Liu Y.P. Cai G.H. Huang C. Dong 

作者机构：MOE Key Laboratory of Regional Energy Systems Optimization Sino-Canada Energy and Environmental Research Academy North China Electric Power University Beijing 102206 China CSEE University of Regina Regina Sask S4S 4H4 Canada State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing 100875 China 

出 版 物：《Procedia Environmental Sciences》 

年 卷 期：2012年第13卷

页      面：467-497页

主　　题：sustainable energy system coal and electricity integrated management north China 

摘      要：System planning of energy resources management is an effective way for supporting socio-economic development and enhancing eco-environmental sustainability. In this study, an inexact coupled coal and power management model with ecological restoration and pollutants mitigation was developed to analyze the impacts of growing coal use and electricity production on eco-environmental quality by integrating a complete set of ecological and environmental constraints. The model can not only effectively handle the uncertainties and complexities of the coupled coal and power management systems, but can also facilitate a dynamic analysis of capacity expansion, facility installation, energy resource inventory, coal blending and environmental regulation changes within a multi-period and multi-option context. The developed model was applied to a long-term coupled coal and power management system planning problem to support the regional eco-environmental sustainability in north China. The interval solutions associated with different risk levels of the constraint violations were obtained, which could be used to formulate decision alternative options. The results generated could also aid decision makers in identifying desirable strategies under various social-economic, environmental and system-reliability constraints with the highest system reliability and the lowest system cost and ecological environment impact. In addition, the tradeoffs between system costs and constraint-violation risks could also be tackled.