A carbon-managed oxy-fuel multigeneration system using municipal solid waste for electricity, hydrogen, and ammonia production: ANN-assisted multi-objective optimization
International Journal of Hydrogen Energy, cilt.252, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 252
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.ijhydene.2026.156111
- Dergi Adı: International Journal of Hydrogen Energy
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Artic & Antarctic Regions, Chemical Abstracts Core, Chimica, Compendex, Environment Index, INSPEC, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO)
- Anahtar Kelimeler: Artificial neural networks, Carbon footprint, Green ammonia, Municipal solid waste, Oxy-fuel combustion, Particle swarm optimization
- İstanbul Gelişim Üniversitesi Adresli: Evet
Özet
Low-carbon energy systems require integrated solutions for waste management, carbon mitigation, energy security, and sector coupling. This study proposes a thermochemical–electrochemical multi-generation system for municipal solid waste valorization and carbon-managed energy production. The system integrates biomass gasification, oxy-fuel combustion, a regenerative Rankine cycle, a molten carbonate fuel cell, multi-effect desalination, and hydrogen–ammonia synthesis to produce electricity, freshwater, useful heat, and ammonia, while generating a CO2-rich stream suitable for simplified capture. A thermodynamic, exergoeconomic, environmental, and financial assessment is performed using MATLAB–REFPROP and Aspen HYSYS, followed by data-driven three-objective optimization using artificial neural networks and multi-objective particle swarm optimization. Under optimized conditions, the system achieves an exergy efficiency of 38.9%, a sum unit cost of 12.95 $/GJ, and a CO2 footprint of 218 kg/MWh. A Saudi Arabian residential case study confirms applicability, supplying electricity, freshwater, heat, and ammonia-derived transportation fuel to 1,446, 122, 1,752, and 492 households, respectively.