Multi-objective optimization for the proper selection of the best heat pump technology in a fuel cell-heat pump micro-CHP system

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Veröffentlicht in:	Energy reports 6(2020) vom: Feb., Seite 325-335
Personen und Körperschaften:	Fan, Xiaochao (VerfasserIn), Sun, Hexu (VerfasserIn), Yuan, Zhi (VerfasserIn), Li, Zheng (VerfasserIn), Shi, Ruijing (VerfasserIn), Razmjooy, Navid (VerfasserIn)
Titel:	Multi-objective optimization for the proper selection of the best heat pump technology in a fuel cell-heat pump micro-CHP system/ Xiaochao Fan, Hexu Sun, Zhi Yuan, Zheng Li, Ruijing Shi, Navid Razmjooy
Format:	E-Book-Kapitel
Sprache:	Englisch
veröffentlicht:	2020
Gesamtaufnahme:	: Energy reports, 6(2020) vom: Feb., Seite 325-335 , volume:6
Schlagwörter:	Aufsatz in Zeitschrift
Quelle:	Verbunddaten SWB Lizenzfreie Online-Ressourcen

Details
Zusammenfassung:	In this paper, a new multi-objective technique has been proposed for optimal analysis of three different candidate heat pump solutions including the vapor compression cycle (VCC), trans-critical R744 cycle, and Peltier device to determine which one gives the best configuration and better performance on a hybrid heat pump and fuel cell-based micro-CHP system. Here, a sunflower optimization algorithm is utilized to provide two different objectives: minimizing the combined yearly maintenance and capital costs and maximizing the performance of the hydrogen energy consumption. Simulation results show that using the VCC, according to its efficient and low-cost characteristics for cell stack and lithium battery maintenance, gives the best solution for the presented hybrid system.
ISSN:	2352-4847
DOI:	10.1016/j.egyr.2020.01.009
Zugang:	Open Access