Optimization Under Uncertainty Approaches for Green Hydrogen Adoption

Green hydrogen has emerged as a sustainable alternative to fossil fuels, offering a zero-emission solution for various sectors, including mobility, industry, and heating. In line with net-zero emission goals, many governments are developing roadmaps for large-scale adoption of hydrogen technologies. The Northern Netherlands is at the forefront of hydrogen innovation, leading the Hydrogen Valley initiative through the HEAVENN project, which integrates hydrogen production, distribution, storage, and utilization within a regional ecosystem.

This thesis develops optimization frameworks that support strategic, tactical, and operational decision-making for green hydrogen adoption. We develop various optimization models and solution algorithms that account for uncertainties in supply, demand, price, and market conditions. In turn, we provide quantitative insights to decision-makers on how to guide investment strategies and policy development. Additionally, this research contributes to the broader field of operations research by advancing methodological approaches applicable to complex, real-world challenges beyond hydrogen applications.