Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics

Multi-objective optimization of a PEMFC based CCHP system by meta-heuristics

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This paper presents a multi-criteria economics, environment, and thermodynamics assessment for a combined cooling, heating, and power (CCHP) system consist of a heat recovery system, a small absorption chiller, a 5kW PEMFC stack, gas compressor, and a humidifier.This pomyslnaszycie.com study presents an improved version of a new optimization technique called improved emperor penguin optimization (IEPO) algorithm for optimizing the system efficiency.After simulations, the system is analyzed in terms of energy and exergy efficiencies, annual cost, and pollutant emission reduction.Simulation results declare low operating temperature develop GHG emission reduction, high relative humidity, pressure of inlet gases, and system exergy performance.The results of the IEPO algorithm are the compared with the standard EPO and also NSGA-II as swisse high strength magnesium powder berry a widely used optimization algorithm for showing the superiority of the algorithm.

Keywords: Multi-criteria assessment, Combined cooling, heat and power system, Proton exchange membrane, Improved, Emperor penguin optimization algorithm.