Akademik Veri Yönetim Sistemi
Journal of Environmental Chemical Engineering, cilt.14, sa.3, 2026 (SCI-Expanded, Scopus)
The utilization of solid waste as an alternative fuel offers a promising pathway toward sustainable energy production while mitigating environmental impacts associated with conventional fuels. In this study, a solid waste–fueled integrated multi-generation system is proposed and thermodynamically evaluated with a primary focus on hydrogen-rich fuel production and efficient energy conversion. To capture the nonlinear behavior of the system under varying operating conditions, polynomial regression–based machine learning surrogate models were developed, achieving excellent predictive performance (R2 ' 0.99, MAPE ' 2%). These models enabled rapid system evaluation and supported multi-objective optimization aimed at maximizing hydrogen fuel output while maintaining high overall efficiency. Parametric results indicate that increasing the gas turbine pressure ratio enhances hydrogen production by approximately 45% and significantly improves electrical power generation, confirming the strong coupling between fuel conversion intensity and system performance. In contrast, higher turbine inlet temperatures reduce hydrogen yield by nearly 15%, reflecting the sensitivity of fuel formation pathways to thermal conditions. Variations in waste feed rate proportionally increase all energy outputs by about 40%, highlighting the critical role of feedstock availability in waste-to-fuel systems. To systematically balance competing objectives, the technique for order preference by similarity to ideal solution (TOPSIS) was applied as a multi-criteria decision-making framework. The optimized operating scenario demonstrates the capability of solid waste to function as a reliable fuel for hydrogen-centered energy systems while ensuring robust efficiency.