Carbon-neutral tri- and multi-generation plants with CO2 capture unit integrated modified gas turbine, recuperative steam Rankine, absorption chiller, and MED: life cycle assessment and multi-scenario chameleon swarm optimization with XGBoost modeling


Abokhalil A. G., Basem A., Abed Balla H. H., Alkhatib O. J., Abood A. S. A., Ayadi M., ...Daha Fazla

Applied Thermal Engineering, cilt.290, 2026 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 290
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.applthermaleng.2026.130093
  • Dergi Adı: Applied Thermal Engineering
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, DIALNET
  • Anahtar Kelimeler: Carbon-neutral energy system, CO₂ capture technology, Exergo-economic and exergo-environmental analysis, Life cycle assessment, Multi-effect desalination, Multi-objective optimization, Sensitivity analysis
  • İstanbul Gelişim Üniversitesi Adresli: Hayır

Özet

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-to-gate 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.