Renewable municipal solid waste biomass-to-energy integrating multiple conversion technologies; Thermo-enviro-economic and global warming potential assessment with intelligent multi-scenario Beluga Whale optimization
Journal of Environmental Chemical Engineering, cilt.14, sa.6, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 14 Sayı: 6
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.jece.2026.124972
- Dergi Adı: Journal of Environmental Chemical Engineering
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core, Compendex, INSPEC
- Anahtar Kelimeler: Biomass, Desalination, Global warming potential, Intelligent MUlti-objective Optimization, Machine learning modeling, Municipal solid waste
- İstanbul Gelişim Üniversitesi Adresli: Evet
Özet
A stable and reliable supply of both energy and freshwater is essential for meeting growing global demands that the polygeneration configurations as the reliable solution integrate multiple conversion technologies for generation valuable productions. This study presents a novel polygeneration configuration that combines a desalination unit, an absorption chiller, a closed air Brayton cycle, with a biomass combustor. The proposed system's unique feature is the utilization of a closed air Brayton unit for efficiently converting the heat from burning biomass into electrical power and combining this unit with a two-stage desalination cycle, which ensures that freshwater production is prioritized equally with power. The study broadens its evaluation scope beyond the traditional 4E and utilizes Global Warming Potential (GWP) assessment, multi-objective optimization, parametric investigations, and sensitivity analyses for deeper understanding of the system's performance. The system's effective energy conversion is demonstrated by its high efficiencies of 47.82% and 38.95% for energy and exergy outputs. Also, the system is close to feasibility thresholds for integrated energy projects from the economic aspect, by achieving achieves a profit of 14.66 €M over its 20-years lifetime, which is supported by a short payback of 12.15 years. Moreover, the system with levelized total annual emissions of 0.7011 kg/kWh, highlights its low GWP, which is measured 10232 kgCO2-eq/kWh. In optimization process, the study leverages intelligent Beluga Whale Optimization for efficient search space exploration and results exergy efficiency of 42.79%, total product unit cost of 35.09 €/GJ, levelized emissions of 0.65 kg/kWh and a GWP of 1.51 kgCO₂-eq/kWh.