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Leveraging renewable energy for Türkiye's future hydrogen supply chain

  • Isik University
  • Yildiz Technical University
  • Kayseri University

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

As 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.

Original languageEnglish
Article number150639
JournalInternational Journal of Hydrogen Energy
Volume166
DOIs
Publication statusPublished - 9 Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 Hydrogen Energy Publications LLC

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Carbon footprint
  • Hydrogen supply chain
  • Renewable energy
  • Stochastic programming

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