Soft computing investigation of stand-alone gas turbine and hybrid gas turbine–solid oxide fuel cell systems via artificial intelligence and multi-objective grey wolf optimizer

Despite of huge effort performed in the literature encompassing the concept of hybrid solid oxide fuel cell–gas turbine (SOFC-GT), the economic and environmental superiority of this hybrid system over a conventional gas turbine (GT) has not yet been clarified. In the present study, a proper scale of...

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Vydáno v:	Energy reports Ročník 8; s. 7537 - 7556
Hlavní autoři:	Hasanzadeh, Amirhossein, Chitsaz, Ata, Ghasemi, Amir, Mojaver, Parisa, Khodaei, Reza, Alirahmi, Seyed Mojtaba
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.11.2022 Elsevier
Témata:	Artificial neural network Gas turbine Gibbs minimization Grey wolf optimizer SOFC Gibbs minimization Gas turbine Artificial neural network Grey wolf optimizer SOFC
ISSN:	2352-4847, 2352-4847
On-line přístup:	Získat plný text
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