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• W3021714666 endingPage "121997" @default.
• W3021714666 startingPage "121997" @default.
• W3021714666 abstract "Under the increasingly serious energy and water resources crisis, the correlation between two resources has become more and more close. Promoting the sustainable development of energy and water resources has been an inevitable choice for regional energy system planning. In this study, a hybrid interval two-stage fuzzy credibility constrained programming (ITFCP) model is developed for supporting energy-water nexus system management. ITFCP can explicitly address system uncertainties presented as probability distributions, fuzzy sets, and intervals, as well as dual dynamics through the concept of solutions with interval membership function. The method could provide effective linkages between predefined policies and economic penalties as well as system economy and risk. Then, ITFCP is applied to electric power system management under considering energy-water nexus in Tangshan City, which is a typical resource-based, high pollution, and water-deficient region in China. Multiple scenarios of different credibility levels about water availability are designed. Results disclosed that coal-fired power and imported electricity would play primary role in meeting tremendous electricity demand under the current situation. Results also revealed that the total water consumption control would be an effective way to accelerate electric power structural adjustment, protect energy and water resources as well as improve atmospheric environment. These findings are valuable for decision makers to gain in-depth analysis for more reasonable and applicable development patterns within a complex energy-water system." @default.
• W3021714666 created "2020-05-13" @default.
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• W3021714666 date "2020-09-01" @default.
• W3021714666 modified "2023-10-14" @default.
• W3021714666 title "Energy-water nexus planning of regional electric power system within an inexact optimization model in Tangshan City, China" @default.
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• W3021714666 doi "https://doi.org/10.1016/j.jclepro.2020.121997" @default.
• W3021714666 hasPublicationYear "2020" @default.
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