Large-scale dynamic optimization of integrated infrastructure for the green energy transition in Japan

• Project/Area Number: 25K08374
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 27020:Chemical reaction and process system engineering-related
• Research Institution: The University of Tokyo
• Principal Investigator: バドラ サラ・サミール・レヤド 東京大学, 大学院工学系研究科(工学部), 准教授 (20842206)
• Project Period (FY): 2025-04-01 – 2029-03-31
• Project Status: Granted (Fiscal Year 2025)
• Budget Amount: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000); Fiscal Year 2028: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2027: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2026: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2025: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• Keywords: Green transition / Infrastructure / Dynamic optimization / Hydrogen / uncertainty

Outline of Research at the Start

Many promising technologies for the green transition are in early development phases which adds uncertainty to infrastructure planning. This work develops AI-driven large-scale dynamic infrastructure optimization models for the green transition with a holistic modeling and assessment framework.