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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Energy (Oxford) Jg. 330; S. 136653
Hauptverfasser:	Ekariansyah, Andi S., Muwonge, Martin, Saefuttamam, M. Rifqi, Dikaimana, Yophie, Nasruddin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2025
Schlagworte:	Energy Exergo-economic Exergy Geothermal Multi-objective genetic algorithm Optimization Multi-objective genetic algorithm Exergy Energy Exergo-economic Geothermal Optimization
ISSN:	0360-5442
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!