Developed multi-objective honey badger optimizer: Application to optimize proton exchange membrane fuel cells-based combined cooling, heating, and power system.

Load managing and price optimizer are significant elements in triple models and combined cooling, heating, and power (CCHP) models. In this study, a new CCHP model utilizes a fuel cell as the main drive with a heat recovery system, a 5-kW PEMFC pile, a small immersion chiller, a humidifier, and a gas compressor is considered. The system has been assessed regards to environment, thermodynamics, and economics in terms of view. A developed type of Honey Badger Optimizer has been suggested to optimize the effectiveness of the model. The system productivity has been assessed by the exergy, energy, yearly price, and pollutant release decrease. According to model studies, low operating temperatures, high intake gas pressures, and high relative humidity all contribute to improved system efficiency and a reduction in greenhouse gas emissions. Based on simulation data, the electricity efficiency at the final optimized point is found to be 69.77%, which is a significant improvement over the baseline efficiency of 63.3% before optimization. Furthermore, the optimized system resulted in a yearly reduction of greenhouse gas emissions by 1.47e7 g, which represents a notable improvement over the 1.20e7 g reduction achieved by the standard system. • New CCHP model is proposed for a fuel cell as the main drive with heat recovery system. • System is analyzed based on environment, thermodynamics, and economics terms of view. • Developed version of Honey Badger Optimizer to improve the system efficiency. • Productivity is by the energy, exergy, yearly price, and pollutant release decrease. [ABSTRACT FROM AUTHOR]