(Oral Presentation) AI-Assisted MILP-Based Multi-Scale Optimization for Process Design, Supply Chain, and Decarbonization Assessment of Ingegrated Biogas Plants

SeonJu Kim presented “AI-Assisted MILP-Based Multi-Scale Optimization for Process Design, Supply Chain, and Decarbonization Assessment of Integrated Biogas Plants” at the Korean Institute of Chemical Engineers (KIChE) 2026 Fall Meeting and International Symposium at BEXCO in Busan, Korea. The presentation focused on the development of an AI-assisted mixed-integer linear programming (MILP)-based multi-scale optimization framework for achieving cost-effective and low-carbon integrated biogas plants, highlighting the application of AI-driven surrogate modeling and mathematical optimization for process design, supply chain planning, and decarbonization assessment.