A generalized fuzzy chance-constrained energy systems planning model for Guangzhou, China

In this study, a generalized fuzzy chance constrained programming method is developed for the energy system planning in Guangzhou under multiple uncertainties. Through integrating the generalized fuzzy programming and chance-constrained programming into an inexact optimization framework, this method...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 165; pp. 191 - 204
Main Authors:	Cai, Mengting, Huang, Guohe, Chen, Jiapei, Li, Yunhuan, Fan, Yurui
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 15.12.2018 Elsevier BV
Subjects:	air pollutants Air pollution Carbon dioxide Chance-constrained programming China Clean energy coal Constraints decision making emissions Emissions control energy Energy model Energy modeling Energy security Energy sources forest management Forests Fuzzy logic Fuzzy sets Fuzzy systems Generalized fuzzy linear programming GHG mitigation Greenhouse effect Greenhouse gases Linear programming Natural gas planning power generation probability distribution Programming Random variables Renewable energy risk Security Solar energy Systems planning Uncertainty Urban planning water power wind power Guangzhou China China Energy security Generalized fuzzy linear programming Chance-constrained programming Energy model GHG mitigation
ISSN:	0360-5442, 1873-6785
Online Access:	Get full text
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