Artificial intelligence-driven surrogate modeling for computationally efficient and digitally decarbonized LNG process optimization under varying feed composition

Journal of Cleaner Production 2026

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Authors: Mahmoud Al-Mughairi, Ahmad Saeed, Ashfaq Ahmad, Muhammad Abdul Qyyum

DOI: 10.1016/j.jclepro.2026.148110

Cited by: 1

References: 45

Fields of Study & Subjects

Thermodynamic and Exergetic Analyses of Power and Cooling Systems Marine and Offshore Engineering Studies Process Optimization and Integration

References 45