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A multi-fuel management model for a community-level district heating system under multiple uncertainties
Fu DZ(付殿峥); Zheng ZY(郑泽宇); Shi HB(史海波); Xiao R(肖睿); Huang, GH; Li, YP
作者部门数字工厂研究室
关键词Fuel Management Uncertainty District Heating Coal Blending Biofuel Deficit Optimization
发表期刊Energy
ISSN0360-5442
2017
卷号128页码:337-356
收录类别SCI ; EI
EI收录号20171603574489
WOS记录号WOS:000403987700029
产权排序1
资助机构Program for One-hundred Talent Program of the Chinese Academy of Sciences (Y4FA030A01) and the Program for Innovative Research Team in University (IRT1127).
摘要In this study, an interval two-stage double-stochastic single-sided fuzzy chance-constrained programming model is developed for supporting fuel management of a community-level district heating system (DHS) fed with both traditional fossil fuels and renewable biofuels under multiple uncertainties. The proposed model is based on the integration of interval parameter programming and single-sided fuzzy chance-constrained programming within an improved stochastic programming framework to tackle the uncertainties expressed as crisp intervals, fuzzy relationship, and probability distributions. Through transforming and solving the model, the related fuzzy and stochastic information can be effectively reflected in the generated solutions. A real fuel management case of a DHS located in Junpu New District of Dalian is utilized to demonstrate the model applicability. The obtained solutions provides an effective linkage in terms of both ‘‘quality’’ and ‘‘quantity’’ aspects for fuel management under various scenarios associated with multiple factors, and thus can help the decision makers to identify desired fuel allotment patterns. Moreover, this study is also useful for decision makers to address the other challenges (e.g. the imbalance between fuel supply and demand, the contradiction between air-pollution emission and environmental protection, as well as the tradeoff between the total heating cost and system satisfaction degree) generated in the fuel management processes.
语种英语
WOS标题词Science & Technology ; Physical Sciences ; Technology
WOS类目Thermodynamics ; Energy & Fuels
关键词[WOS]STOCHASTIC-PROGRAMMING MODEL ; AIR-QUALITY MANAGEMENT ; SOLID-WASTE MANAGEMENT ; BIOMASS POWER-PLANT ; VALUE CHAIN OPTIMIZATION ; FUEL-MANAGEMENT ; SUPPLY CHAIN ; FOREST BIOMASS ; BIOFUEL PRODUCTION ; ENERGY-SYSTEMS
WOS研究方向Thermodynamics ; Energy & Fuels
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/20506
专题数字工厂研究室
通讯作者Fu DZ(付殿峥)
作者单位1.Key Laboratory of Network Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, United States
3.Environmental Systems Engineering Program, Faculty of Engineering and Applied Science, University of Regina, Regina, Sask, S4S 0A2, Canada
4.MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, S-C Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China
推荐引用方式
GB/T 7714
Fu DZ,Zheng ZY,Shi HB,et al. A multi-fuel management model for a community-level district heating system under multiple uncertainties[J]. Energy,2017,128:337-356.
APA Fu DZ,Zheng ZY,Shi HB,Xiao R,Huang, GH,&Li, YP.(2017).A multi-fuel management model for a community-level district heating system under multiple uncertainties.Energy,128,337-356.
MLA Fu DZ,et al."A multi-fuel management model for a community-level district heating system under multiple uncertainties".Energy 128(2017):337-356.
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