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
Abstract
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.