The European Union aims to achieve net zero emission targets by 2050, aligning with global climate mitigation goals. Hydrogen, known for being energy-dense, lightweight, and emission free, holds significant promise for replacing fossil fuels in sectors such as mobility and heavy industry. Green hydrogen, produced by electrolyzers powered by renewable energy sources like wind and solar, is increasingly viewed as a key solution. Although still relatively expensive, it is gaining traction as maturing technologies enhance its cost-efficiency. However, the necessary infrastructure to support a green hydrogen supply chain is currently lacking. The EU has published a roadmap for the large-scale deployment of hydrogen and fuel cells by 2050, outlining a future that emphasizes the importance of this energy source. This project focuses on analyzing the challenges associated with the large-scale implementation of hydrogen, including supply chain logistics, cost-effectiveness, and integration with existing energy systems. By employing data-driven optimization techniques, the project aims to enhance decision making processes for hydrogen deployment. Additionally, stochastic modeling approaches will be used to account for various sources of uncertainty. Through this work, the project aspires to provide actionable insights that support the EU’s roadmap for hydrogen integration.