Soft computing based optimization of a novel solar heliostat integrated energy system using artificial neural networks

Sustainable Energy Technologies and Assessments(2022)

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Abstract
•To propose a novel integrated system based on geothermal and solar energy.•To apply energy, exergy, and exergo-economic analysis of the system.•To apply a multi-objective genetic algorithm optimization to the proposed system.•To produce hydrogen using PEM electrolysis.•To form a Perto curve to show cost and exergy efficiency objective functions.
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Key words
Artificial neural network,MED-TVC,PEM electrolyzer,Exergoeconomic,Gasifier
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