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.

中文翻译：

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燃料电池-热泵微热电联产系统中最佳热泵技术选择的多目标优化

摘要 在本文中，提出了一种新的多目标技术来优化分析三种不同的候选热泵解决方案，包括蒸汽压缩循环 (VCC)、跨临界 R744 循环和 Peltier 装置，以确定哪一个提供最佳配置。以及混合热泵和基于燃料电池的微型热电联产系统的更好性能。在这里，向日葵优化算法用于提供两个不同的目标：最小化年度维护和资本成本，最大化氢能消耗的性能。仿真结果表明，使用 VCC，根据其在电池堆和锂电池维护方面的高效和低成本特性，为所提出的混合系统提供了最佳解决方案。