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.author | Abokhalil, Ahmed G. | |
| dc.contributor.author | Basem, Ali | |
| dc.contributor.author | Balla, Hyder H. Abed | |
| dc.contributor.author | Alkhatib, Omar J. | |
| dc.contributor.author | Abood, Ahmed Sabeeh Abed | |
| dc.contributor.author | Ayadi, Mohamed | |
| dc.contributor.author | Dutta, Ashit Kumar | |
| dc.contributor.author | Bayhan, Zahra | |
| dc.contributor.author | Fouad, Yasser | |
| dc.contributor.author | Mahariq, Ibrahim | |
| dc.date.accessioned | 2026-09-03T11:29:35Z | |
| dc.date.issued | 2026 | |
| dc.department | Mühendislik ve Mimarlık Fakültesi | |
| dc.description.abstract | The 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.doi | 10.1016/j.applthermaleng.2026.130093 | |
| dc.identifier.issn | 1359-4311 | |
| dc.identifier.issn | 1873-5606 | |
| dc.identifier.issue | 2 | |
| dc.identifier.uri | https://hdl.handle.net/11363/12458 | |
| dc.identifier.volume | 290 | |
| dc.identifier.wos | 001690188400001 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.institutionauthor | Mahariq, Ibrahim | |
| dc.language.iso | en | |
| dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND | |
| dc.relation.ispartof | APPLIED THERMAL ENGINEERING | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Carbon-neutral energy system | |
| dc.subject | CO₂ capture technology | |
| dc.subject | Multi-effect desalination | |
| dc.subject | Exergo-economic and exergo-environmental analysis | |
| dc.subject | Life cycle assessment | |
| dc.subject | Multi-objective optimization | |
| dc.subject | Sensitivity analysis | |
| dc.title | 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.type | Article |










