An effective way of increasing the effectiveness, energy use decline, and reducing emissions are the Combined Cooling, Heating, and Power (CCHP) system. In this paper, an optimization procedure based on a new modified metaheuristic method, called Modified Harris Hawks Optimization (MHHO) algorithm has been introduced for developing the efficiency of the Combined CHP system in with regards to the economics, environment, and thermodynamics assessment. The CCHP system includes a 5-kW Proton-Exchange Membrane (PEM) Fuel Cell stack for increasing efficiency. To validate the capability of the suggested algorithm, it first verified by some different metaheuristics, and then, it is used for the optimization of the CCHP system. A comparison of the outcomes of the suggested MHHO algorithm with the basic HHO algorithm and also NSGA-II from the literature is carried out to show lower operating temperature, and higher relative humidity, greenhouse gas emission decline, exergy performance of the system, and pressure of inlet gases for the suggested method. Simulation results showed that by growing the current mass, the annual greenhouse gas value is amplified to the maximum value of 15.65 × 10⁶ g at 896 mA/cm² and is decreased until the power variation in the system has been equivalent. The results also indicated that the suggested MHHO algorithm gives maximum value for the annual GHG reduction of about 4.50 e6 g and 50.1% exergy efficiency during with 3.07e7 g annual cost decreasing.

提高效率，减少能耗和减少排放的有效方法是冷热电联产（CCHP）系统。本文介绍了一种基于新的改进的启发式方法的改进程序，该方法称为改进的哈里斯霍克斯优化（MHHO）算法，用于开发组合式热电联产系统在经济，环境和热力学评估方面的效率。CCHP系统包括一个5 kW的质子交换膜（PEM）燃料电池堆，以提高效率。为了验证该算法的性能，首先通过一些不同的元启发式算法对其进行了验证，然后将其用于CCHP系统的优化。将建议的MHHO算法与基本HHO算法以及文献中的NSGA-II的结果进行了比较，以显示较低的工作温度，较高的相对湿度，温室气体排放下降，系统的火用性能和压力建议方法的进气量。模拟结果表明，通过增加当前质量，年温室气体值被放大到最大值15.65×10 在896 mA / cm ^2时为⁶ g，并减小直到系统中的功率变化相等为止。结果还表明，所建议的MHHO算法在每年减少3.07e7 g的过程中，每年减少约4.50 e6 g的温室气体的最大值和50.1％的火用效率。