• Medientyp: E-Artikel
  • Titel: Multi-objective optimization for the proper selection of the best heat pump technology in a fuel cell-heat pump micro-CHP system
  • Beteiligte: Fan, Xiaochao [Verfasser:in]; Sun, Hexu [Verfasser:in]; Yuan, Zhi [Verfasser:in]; Li, Zheng [Verfasser:in]; Shi, Ruijing [Verfasser:in]; Razmjooy, Navid [Verfasser:in]
  • Erschienen: 2020
  • Erschienen in: Energy reports ; 6(2020) vom: Feb., Seite 325-335
  • Sprache: Englisch
  • DOI: 10.1016/j.egyr.2020.01.009
  • Identifikator:
  • Schlagwörter: Fuel cell ; Heat pump ; Micro CHP ; Multi-objective optimization ; Sunflower optimization algorithm ; Aufsatz in Zeitschrift
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung - Nicht-kommerziell - Keine Bearbeitung (CC BY-NC-ND)