System sizing of hybrid solar‐fuel cell battery energy system using artificial bee colony algorithm with predator effect

S Singh, NJ Singh, A Gupta - International journal of energy …, 2022 - Wiley Online Library
International journal of energy research, 2022Wiley Online Library
In current years, hydrogen‐based power generation has emerged as an alternative energy
source for transportation and electricity. Hydrogen‐based power generation along with solar
photovoltaic (PV) is a matter of current research. In this manuscript, a hybrid solar, fuel cell,
battery with an electrolyzer and hydrogen tank has been developed to cater the electricity
demand of a small academic complex. The economic analysis of the project has been
performed with detailed mathematical modeling of the system. The hydrogen and energy …
Summary
In current years, hydrogen‐based power generation has emerged as an alternative energy source for transportation and electricity. Hydrogen‐based power generation along with solar photovoltaic (PV) is a matter of current research. In this manuscript, a hybrid solar, fuel cell, battery with an electrolyzer and hydrogen tank has been developed to cater the electricity demand of a small academic complex. The economic analysis of the project has been performed with detailed mathematical modeling of the system. The hydrogen and energy management is performed on a one‐year complete data. To deduce the sizing of the components, a novel artificial bee colony algorithm with predator effect (ABC‐PO) has been proposed by the authors. The optimal sizing results obtained from the proposed ABC‐PO have been compared with other optimization algorithms, that is, conventional ABC, particle swarm optimization (PSO), and hybrid ABC‐PSO. The results show that electricity demand of 39.4 MWh/yr could be met with a combination of 27 kW solar PV, 24 kW electrolyzer, 10 kW fuel cell, and 57 kWh batteries with a 131 kg of hydrogen tank. The designed system provides a levelized cost of electricity of $0.279/kWh with a minimum loss of power supply probability. A detailed hydrogen and energy management has been discussed to show the efficacy of the system.
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