Multi-criteria study and machine learning optimization of a novel heat integration for combined electricity, heat, and hydrogen production: Application of biogas-fueled S-Graz plant and biogas steam reforming

Haghghi, Maghsoud Abdollahi; Feili, Milad; Ghaebi, Hadi; Athari, Hassan

doi:10.1016/j.csite.2024.105323

Case Studies in Thermal Engineering

2024

DOI: 10.1016/j.csite.2024.105323

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Multi-criteria study and machine learning optimization of a novel heat integration for combined electricity, heat, and hydrogen production: Application of biogas-fueled S-Graz plant and biogas steam reforming

Maghsoud Abdollahi Haghghi,

Milad Feili,

Hadi Ghaebi

et al.

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Cited by 4 publications

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Multi-criteria study and machine learning optimization of a novel heat integration for combined electricity, heat, and hydrogen production: Application of biogas-fueled S-Graz plant and biogas steam reforming

Cited by 4 publications

References 44 publications

Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization

Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization

Energy-environment-economic study and optimization: An advanced heat recovery method for improving gas turbine cycle efficiency

Simulation and thermodynamic, economic, and environmental analyses of a novel multigeneration arrangement fueled by coke oven gas equipped with a desalination process

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