Article

Machine learning-based optimization and dynamic performance analysis of a hybrid geothermal-solar multi-output system for electricity, cooling, desalinated water, and hydrogen production: A case study

Mohamed A. IsmailDepartment of Chemical Engineering, College of Engineering, King Khalid University, Abha 61411, Saudi ArabiaGhanim Kadhim Abdul SadaCollege of Engineering, University of Warith Al-Anbiyaa 56001, Karbala, IraqAbdelfattah AmariDepartment of Chemical Engineering, College of Engineering, King Khalid University, Abha 61411, Saudi ArabiaA. V. UmarovAbdul Amir H. KadhumUniversity of Al-Ameed, Karbala, IraqZukhra AtamuratovaNew Uzbekistan University, Movarounnahr street 1, Tashkent 100000, UzbekistanNoureddine ElboughdiriChemical Engineering Department, College of Engineering, University of Ha’il, P.O. Box 2440, Ha’il 81441, Saudi Arabia

Applied Thermal Engineeringjournal2025en

ABI

Abstract

No abstract available.

Topics

Thermodynamic and Exergetic Analyses of Power and Cooling Systems Solar Thermal and Photovoltaic Systems Geothermal Energy Systems and Applications

Identifiers

DOI: 10.1016/j.applthermaleng.2025.125834

Citations and references

Cited by 3 85 references

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