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Yayın Leveraging renewable energy for Türkiye's future hydrogen supply chain(Elsevier Ltd, 2025-09-09) Türkali Özbek, Busenur; Erdoğan, Ahmet; Güler, Mehmet GürayAs energy and climate crises necessitate a shift to sustainable resources, hydrogen - with its zero-emission potential-is expected to play a key role in the energy transition. Designing an effective hydrogen supply chain (HSC) is essential to realizing this potential. This study introduces a multi-period, multi-objective stochastic optimization model for Türkiye's transportation-sector HSC. It addresses gaps in existing research by integrating dynamic renewable energy availability, lifecycle-based CO2 emissions, and regional green hydrogen prioritization. The ε-constraint method is used to balance economic and environmental objectives. Results show that Türkiye can significantly reduce emissions by gradually transitioning from fossil-based production and by optimizing facility locations based on regional solar, wind, and hydrogen sulfide potential. Centralized production reduces costs but increases transport risk and emissions, while localized production improves resilience yet may increase fossil fuel reliance in resource-limited regions. These findings offer strategic guidance for aligning hydrogen planning with Türkiye's climate commitments.Yayın Leveraging renewable energy for Turkey's future hydrogen supply chain: a stochastic programming model(Dicle Üniversitesi, 2024-05-15) Türkali Özbek, Busenur; Erdoğan, Ahmet; Güler, Mehmet GürayFossil fuel dependence and rising CO2 emissions due to population growth and technological advancements necessitate a transition to clean energy sources. The transportation sector, a major contributor to CO2 emissions, requires alternative solutions like hydrogen fuel cell electric vehicles (HFCVs). However, widespread adoption hinges on a reliable hydrogen supply chain (HSC). This study aims to design a HSC for Turkey's transportation sector in 2050, considering potential renewable energy sources. A scenario-based stochastic programming approach is employed to address the uncertainty in demand. Additionally, the Epsilon Constraint Method is used to incorporate multiple objectives, including cost, CO2 emissions, and risk, into the model. The results show that the types of facilities opened are compatible with the renewable energy potential of each grid and there is a decentralized structure. This study contributes to the design of a sustainable HSC for Turkey, showcasing a methodology that can be adapted by other countries aiming to integrate renewable energy sources into their hydrogen supply chains.












