Carbon-Neutral Tri- and Multi-Generation Plants With CO2 Capture Unit İntegrated Modified Gas Turbine, Recuperative Steam Rankine, Absorption Chiller, and MED: Life Cycle Assessment and Multi-Scenario Chameleon Swarm Optimization With Xgboost Modeling

dc.contributor.authorAbokhalil, Ahmed G.
dc.contributor.authorBasem, Ali
dc.contributor.authorBalla, Hyder H. Abed
dc.contributor.authorAlkhatib, Omar J.
dc.contributor.authorAbood, Ahmed Sabeeh Abed
dc.contributor.authorAyadi, Mohamed
dc.contributor.authorDutta, Ashit Kumar
dc.contributor.authorBayhan, Zahra
dc.contributor.authorFouad, Yasser
dc.contributor.authorMahariq, Ibrahim
dc.date.accessioned2026-09-03T11:29:35Z
dc.date.issued2026
dc.departmentMühendislik ve Mimarlık Fakültesi
dc.description.abstractThe decarbonization of fossil fuel-powered systems remains a critical challenge due to the energy penalties and economic burdens associated with conventional CO₂ capture technologies. This issue is particularly pronounced in tri- and multi-generation systems, where integrating carbon capture without compromising efficiency and profitability requires advanced system-level solutions. Addressing this challenge is essential to enable reliable low-carbon energy supply while meeting increasing demands for electricity, heating, cooling, and freshwater. This study proposes and systematically examines advanced carbon-neutral tri- and multi-generation energy systems featuring deep thermal integration and alternative heat supply strategies for CO₂ capture. Two integration scenarios are investigated: a methane-fueled tri-generation system incorporating a MEA-based CO₂ capture unit (System I), and an extended multi-generation configuration supported by geothermal energy to drive CO₂ capture and desalination (System II). Comprehensive thermo-enviro-economic assessments, gate-togate life cycle assessment, and data-driven multi-objective optimization using XGBoost surrogate modeling and advanced metaheuristic algorithms are employed. System I achieves 54.00% exergy efficiency and 98.78% CO₂ removal, reducing emissions to 21.47 kg/h, while System II further enhances performance, attaining 54.51% exergy efficiency, reducing specific GWP to 0.0179 kg/kWh, and increasing NPV to 14.07 M$. Optimized operation yields exergy efficiency up to 55.28% with minimal economic and environmental impact. The proposed systems provide a scalable and economically viable pathway for deploying carbon-neutral multi-generation plants in industrial and urban energy hubs, supporting long-term decarbonization and sustainable energy transition strategies.
dc.identifier.doi10.1016/j.applthermaleng.2026.130093
dc.identifier.issn1359-4311
dc.identifier.issn1873-5606
dc.identifier.issue2
dc.identifier.urihttps://hdl.handle.net/11363/12458
dc.identifier.volume290
dc.identifier.wos001690188400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.institutionauthorMahariq, Ibrahim
dc.language.isoen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
dc.relation.ispartofAPPLIED THERMAL ENGINEERING
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCarbon-neutral energy system
dc.subjectCO₂ capture technology
dc.subjectMulti-effect desalination
dc.subjectExergo-economic and exergo-environmental analysis
dc.subjectLife cycle assessment
dc.subjectMulti-objective optimization
dc.subjectSensitivity analysis
dc.titleCarbon-Neutral Tri- and Multi-Generation Plants With CO2 Capture Unit İntegrated Modified Gas Turbine, Recuperative Steam Rankine, Absorption Chiller, and MED: Life Cycle Assessment and Multi-Scenario Chameleon Swarm Optimization With Xgboost Modeling
dc.typeArticle

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