Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS)

Optimization of Solar/Fuel Cell Hybrid Energy System Using the Combinatorial Dynamic Encoding Algorithm for Searches (cDEAS)

This study proposes a computational design method for determining a hybrid power system’s sizing and ratio values that combines the national electric, solar cell, and fuel cell power sources. The inequality constraints associated with the ranges of power storage exchange and the stored energy are re...

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Bibliographic Details
Main Authors:	Ahn, H. (Author), Kim, J.-W (Author), Lee, S.C (Author), Seo, H.C (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Combinatorial dynamic encoding algorithm for search combinatorial dynamic encoding algorithm for searches Computational design methods Constraint theory Cost functions Cost reduction Digital storage Dynamic encoding algorithm for searches Encoding (symbols) Energy Fuel cells Fuel-cell power sources hybrid energy system Hybrid energy system Hybrid power Optimisations optimization power Power Solar cells Solar energy Solar fuels
Online Access:	View Fulltext in Publisher

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