In this research, an organic Rankine cycle (ORC) is run by the recovered heat from different commercial fuel cells and optimized to find the best configuration from the thermos-economic point of view for different refrigerants. We considered a multi-objective optimization approach based on teaching learning based optimization, referred to as the MOTLBO, which allows efficient and accurate determination of the optimum solutions, As a result, both the total cycle efficiency and price of electricity that are in conflict with each other have been selected as the objective functions, and six design variables have been selected. It has been tried to find the best working fluid as well as the best fuel cells from an economic and thermal efficiency point of view. The paper incorporates equipment selection for the different fuel cells, and cost corrections to estimate the investment cost, with the overall goal of the designing an optimal ORC system by considering different working fluids. Based on multi-objective optimization, the paper finds that R123 is the optimal fluid for ORC based the thermo-economic performance in the cases of all fuel cells except the MCFC (300 kW). We also conducted a parametric study for determination of the effect of varying selected design parameters on the overall efficiency and electricity cost to make comparisons. In all fuel cells except the PEMFC, the highest and lowest pressure ratios are needed when applying R123 and R134a, respectively. In addition, the effect of ORC mass flow rate has been investigated for different configurations using different working fluids. Finally, the results achieved for the design parameters in the case of different fuel cells have been discussed and compared.

在这项研究中，有机朗肯循环（ORC）由来自不同商业燃料电池的回收热量运行，并经过优化以从不同的热水瓶经济角度寻找最佳构型。 制冷剂。我们考虑了基于基于教学学习的优化的多目标优化方法，称为MOTLBO，它可以高效，准确地确定最佳解决方案。结果，总循环效率和电价与彼此选择为目标函数，并且选择了六个设计变量。从经济和热效率的观点出发，已经尝试寻找最佳的工作流体以及最佳的燃料电池。本文结合了针对不同燃料电池的设备选择以及成本估算以估算投资成本，其总体目标是通过考虑不同的工作流体来设计最佳的ORC系统。基于多目标优化，MCFC （300千瓦）。我们还进行了参数研究，以确定各种选定设计参数对总体效率和电费的影响，以便进行比较。在除PEMFC之外的所有燃料电池中，分别施加R123和R134a时需要最高和最低的压力比。另外，已经针对使用不同工作流体的不同配置研究了ORC质量流量的影响。最后，讨论并比较了在不同燃料电池情况下针对设计参数获得的结果。