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Development of a fuel management model for a multi-source district heating system under multi-uncertainty and multi-dimensional constraints
Fu DZ(付殿峥); Zheng ZY(郑泽宇); Gui, Jun; Xiao R(肖睿); Huang, G.H.; Li, Yongping
Department数字工厂研究室
Source PublicationEnergy Conversion and Management
ISSN0196-8904
2017
Volume153Pages:243-256
Indexed BySCI ; EI
EI Accession number20180804822975
WOS IDWOS:000417659400020
Contribution Rank1
KeywordDecision Making Uncertainty Interval Programming Fossil Fuel Management Heating System Fuzzy Programming
AbstractIn this paper, an interval single-sided fuzzy chance-constrained mixed-integer programming model is developed for the fossil fuel management of a multi-source district heating system under multiple uncertainties, where the heat-supply-capacity expansion planning can also be reflected. The non-dimensional comprehensive equations method is simultaneously improved to quantify the ambiguous heat provisions, utilized as a type of boundary condition inputs to the proposed model. A real-world case study of a heating system located in northeastern China is undertaken to show the feasibility and applicability of the proposed methods. To obtain the reasonable fossil-fuel management schemes, multi-dimensional constraints are incorporated into the model based on a comprehensive consideration in terms of fuel supply and demand, quality and quantity, economic cost and environment protection, as well as their interactions. Results obtained from the case study indicate that the solutions for both continuous and binary variables have been generated, which are useful for identifying suitable fuel-supply patterns and heat-source operational modes for a heating system under different system reliabilities and heating-load distribution states. In addition, the results also reveal that the fossil-fuel management and heating-capacity-expansion pattern, as well as the economic cost and pollutant emission performances are sensitive to the thermal coefficient and system reliability level, which may provide in-depth analyses of tradeoffs for further supporting robust fossil-fuel management under uncertainty.
Language英语
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
WOS SubjectThermodynamics ; Energy & Fuels ; Mechanics
WOS KeywordROBUST OPTIMIZATION MODEL ; REGIONAL ENERGY-SYSTEMS ; ELECTRIC-POWER SYSTEMS ; SUPPLY CHAIN ; PROGRAMMING METHOD ; WIND POWER ; RENEWABLE ENERGY ; CHINA ; BIOMASS ; CARBON
WOS Research AreaThermodynamics ; Energy & Fuels ; Mechanics
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21361
Collection数字工厂研究室
Corresponding AuthorFu DZ(付殿峥)
Affiliation1.Key Laboratory of Network Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, PR China
2.School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, PR China
3.Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
4.Environmental Systems Engineering Program, Faculty of Engineering and Applied Science, University of Regina, Regina, Sask. S4S 0A2, Canada
5.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
Recommended Citation
GB/T 7714
Fu DZ,Zheng ZY,Gui, Jun,et al. Development of a fuel management model for a multi-source district heating system under multi-uncertainty and multi-dimensional constraints[J]. Energy Conversion and Management,2017,153:243-256.
APA Fu DZ,Zheng ZY,Gui, Jun,Xiao R,Huang, G.H.,&Li, Yongping.(2017).Development of a fuel management model for a multi-source district heating system under multi-uncertainty and multi-dimensional constraints.Energy Conversion and Management,153,243-256.
MLA Fu DZ,et al."Development of a fuel management model for a multi-source district heating system under multi-uncertainty and multi-dimensional constraints".Energy Conversion and Management 153(2017):243-256.
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