A CCHP is modeled here, which is operated based on thermal energy provision because the target consumer demands more heat and cooling than electricity. The main components of the CCHP system are a PEMFC as the main generator, absorption chiller, electric chiller, and auxiliary boiler. The fuel consumption, cost, and carbon release improvements compared to a separated generation system (SGS) are maximized in this system using the proposed modified mayfly algorithm. The system design and operation are optimized in two different stages. A hotel building has been chosen as the case study to demonstrate the effectiveness of the proposed CCHP system and optimization in comparison to the traditional mayfly algorithm (MA) and genetic algorithm (GA). The proposed optimization algorithm has performed 8.15% and 10.06% better compared to MA and GA, respectively. It also reached its solution in far shorter time. The optimum size of PEMDC and share of auxiliary chiller (AC) in cooling provision is determined to be 548 kW and 43.1%, respectively. It is shown that improvement achieved by using the AC in the CCHP is increased by 23.21% compared to a CCHP without one. Furthermore, the AC make the improvement of CCHP more constant and robust to load variation. Moreover, the sensitivity of the optimum operation condition of the CCHP against the electricity and fuel price changes and share of the AC in supplying the cooling demand are studied to provide the system operators with the necessary tools needed to optimally handle price changes.

中文翻译：

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使用改进的蜉蝣算法优化高温 PEMFC 驱动的 CCHP 的组件尺寸和运行策略

这里对冷热电联供进行了建模，它是基于热能供应来运行的，因为目标消费者需要比电力更多的热量和冷却。CCHP系统的主要组成部分是质子交换膜燃料电池作为主发电机、吸收式制冷机、电制冷机和辅助锅炉。与分离发电系统（SGS）相比，使用所提出的修改蜉蝣算法在该系统中最大限度地提高了燃料消耗、成本和碳释放量。系统设计和操作分两个不同阶段进行优化。选择酒店建筑作为案例研究，以证明所提出的 CCHP 系统的有效性以及与传统蜉蝣算法 (MA) 和遗传算法 (GA) 相比的优化。与 MA 和 GA 相比，所提出的优化算法的性能分别提高了 8.15% 和 10.06%。它还在更短的时间内找到了解决方案。PEMDC 的最佳尺寸和辅助冷却器 (AC) 在冷却供应中的份额确定为分别为 548 kW 和 43.1%。结果表明，与不使用空调的 CCHP 相比，在 CCHP 中使用 AC 所实现的改进提高了 23.21%。此外，AC 使 CCHP 的改进对负载变化更加稳定和鲁棒。此外，还研究了冷热电联供最佳运行条件对电力和燃料价格变化的敏感性以及空调在供应冷却需求中所占的份额，以便为系统运营商提供最佳处理价格变化所需的必要工具。