Leveraging renewable energy for Turkey's future hydrogen supply chain: a stochastic programming model

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dc.authorid0000-0002-3835-7684
dc.authorid0000-0002-8964-9775
dc.authorid0000-0002-9987-7616
dc.contributor.authorTürkali Özbek, Busenuren_US
dc.contributor.authorErdoğan, Ahmeten_US
dc.contributor.authorGüler, Mehmet Gürayen_US
dc.date.accessioned2026-03-05T10:15:08Z
dc.date.available2026-03-05T10:15:08Z
dc.date.issued2024-05-15
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Industrial Engineeringen_US
dc.description.abstractFossil 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.en_US
dc.description.versionPublisher's Version
dc.identifier.citationTürkali Özbek, B., Erdoğan, A. & Güler, M. G. (2024). Leveraging renewable energy for Turkey's future hydrogen supply chain: a stochastic programming model. Paper presented at the 8th International HYDROGEN TECHNOLOGIES, IHTEC2024, 281-283. en_US
dc.identifier.endpage283
dc.identifier.isbn9786057071781
dc.identifier.startpage281
dc.identifier.urihttps://hdl.handle.net/11729/7096
dc.institutionauthorTürkali Özbek, Busenuren_US
dc.institutionauthorid0000-0002-3835-7684
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherDicle Üniversitesien_US
dc.relation.ispartof8th International HYDROGEN TECHNOLOGIES, IHTEC2024en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHydrogen supply chainen_US
dc.subjectRenewable energyen_US
dc.subjectStochastic programmingen_US
dc.titleLeveraging renewable energy for Turkey's future hydrogen supply chain: a stochastic programming modelen_US
dc.typeConference Objecten_US
dspace.entity.typePublicationen_US

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