Multi-objective optimization of a hybrid renewable energy system supplying a residential building using NSGA-II and MOPSO algorithms

•Economic, technical, environmental, and social objective functions are considered in the optimization.•The levelized cost of energy in selected solutions is reduced by 51 to 88% by selling excess electricity.•The exploitation of the selected systems significantly reduce CO2 emissions.•The Pareto fr...

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