A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system

•Integration of heat streams with HRSG in a polygeneration system is studied.•A mixed-integer nonlinear programming model is proposed to optimize heat network.•Operating parameters and heat network configuration are optimized simultaneously.•The optimized heat network highly depends on the HRSG type...

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Veröffentlicht in:Applied energy Jg. 114; S. 146 - 154
Hauptverfasser: Zhang, Jianyun, Liu, Pei, Zhou, Zhe, Ma, Linwei, Li, Zheng, Ni, Weidou
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.02.2014
Elsevier
Schlagworte:
ISSN:0306-2619, 1872-9118
Online-Zugang:Volltext
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Zusammenfassung:•Integration of heat streams with HRSG in a polygeneration system is studied.•A mixed-integer nonlinear programming model is proposed to optimize heat network.•Operating parameters and heat network configuration are optimized simultaneously.•The optimized heat network highly depends on the HRSG type and model specification. A large number of heat flows at various temperature and pressure levels exist in a polygeneration plant which co-produces electricity and chemical products. Integration of these external heat flows in a heat recovery steam generator (HRSG) has great potential to further enhance energy efficiency of such a plant; however, it is a challenging problem arising from the large design space of heat exchanger network. In this paper, a mixed-integer nonlinear programming model is developed for the design optimization of a HRSG with consideration of all alternative matches between the HRSG and external heat flows. This model is applied to four polygeneration cases with different HRSG types, and results indicate that the optimized heat network mainly depends on the HRSG type and the model specification.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2013.09.057