Energy, exergy, and exergy-economic optimization of a multigeneration system driven by geothermal primary heat source using multi-objective genetic algorithm (MOGA)

A modified multigeneration system (MGS) using geothermal heat to provide products of cooling, heating, power generation, hydrogen, and fresh water through seawater desalination, has been proposed and analyzed. It uses liquefied natural gas (LNG) as a heat sink during the process and enhanced by inco...

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Vydáno v:	Energy (Oxford) Ročník 330; s. 136653
Hlavní autoři:	Ekariansyah, Andi S., Muwonge, Martin, Saefuttamam, M. Rifqi, Dikaimana, Yophie, Nasruddin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2025
Témata:	Energy Exergo-economic Exergy Geothermal Multi-objective genetic algorithm Optimization Multi-objective genetic algorithm Exergy Energy Exergo-economic Geothermal Optimization
ISSN:	0360-5442
On-line přístup:	Získat plný text
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