Green Liquefied Hydrogen Production with Multi Energy Generation by Solar–Wind Cogeneration System Incorporating Htcorcs and Peme–Claude Cycle: Techno Economic Environmental Analysis and Ann-Assisted Optimization
| dc.authorid | https://orcid.org/0000-0002-7222-3014 | |
| dc.contributor.author | Li, Yonghui | |
| dc.contributor.author | Nutakki, Tirumala Uday Kumar | |
| dc.contributor.author | Zhang, Haibo | |
| dc.contributor.author | Khlifi, Mohamed Arbi | |
| dc.contributor.author | Alanazi, Mohana | |
| dc.contributor.author | Alsairy, Norah | |
| dc.contributor.author | Althbiti, Ashrf | |
| dc.contributor.author | Akhmadjonov, Rakhmonjon | |
| dc.contributor.author | Mahariq, Ibrahim | |
| dc.contributor.author | Fouad, Yasser | |
| dc.date.accessioned | 2026-09-16T13:27:55Z | |
| dc.date.issued | 2026 | |
| dc.department | Mühendislik ve Mimarlık Fakültesi | |
| dc.description.abstract | This study proposes an integrated renewable energy-driven cogeneration system designed to deliver multiple outputs, including liquefied hydrogen, electricity, heating, cooling, and desalinated water. The configuration combines solar and wind resources with cascaded organic Rankine cycles, a proton exchange membrane electrolyzer, absorption-based cooling with hydrogen liquefaction and desalination units. Multi-stage thermal coupling within the Rankine subsystems improves recovery of energy across different temperature levels, while low-grade heat is utilized for cooling without additional power demand. Excess renewable electricity is converted into hydrogen to improve system flexibility and mitigate intermittency issues. Performance is assessed using combined thermodynamic, economic, and environmental metrics, including net present value and payback time. A machine-learning-assisted optimization framework is applied to efficiently obtain optimal operating conditions targeting high exergy efficiency and reduced cost. Optimal results indicate hydrogen production of 15.61 kg/h, exergy efficiency of 29.92%, and a payback period of 3.89 years. | |
| dc.identifier.doi | 10.1016/j.ijhydene.2026.156955 | |
| dc.identifier.issn | 0360-3199 | |
| dc.identifier.scopus | 2-s2.0-105047681434 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://hdl.handle.net/11363/12624 | |
| dc.identifier.volume | 268 | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Mahariq, Ibrahim | |
| dc.institutionauthorid | https://orcid.org/0000-0002-7222-3014 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | International Journal of Hydrogen Energy | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Hydrogen production and liquefication | |
| dc.subject | Hybrid solar–wind energy system | |
| dc.subject | Proton exchange membrane electrolyzer | |
| dc.subject | Claude liquefaction cycle | |
| dc.subject | Waste heat recovery | |
| dc.subject | ML-Aided multi-objective optimization | |
| dc.title | Green Liquefied Hydrogen Production with Multi Energy Generation by Solar–Wind Cogeneration System Incorporating Htcorcs and Peme–Claude Cycle: Techno Economic Environmental Analysis and Ann-Assisted Optimization | |
| dc.type | Article |










