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

Energy Reports

Zhi Yuan¹  Hexu Sun²  Navid Razmjooy²  Xiaochao Fan²  Ruijing Shi²  Zheng Li³ 

[1] Corresponding author.;College of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei, 050091, China;Engineering Research Center of Renewable Energy Power Generation and Grid-connected Control, Ministry of Education, Xinjiang University, Urumqi, Xinjiang, 830047, China;

关键词: Fuel cell;    Micro CHP;    Heat pump;    Multi-objective optimization;    Sunflower optimization algorithm;   

DOI  :  

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown