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Design of optimization model for a hydrogen supply chain under emission constraints - A case study of Germany

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  • Almansoori, A.
  • Betancourt-Torcat, A.

Abstract

The increasing global demand for petroleum-based fuels, mainly driven by the economic growth in emerging markets imposes significant challenges in terms of energy supply and environmental mitigation strategies. This work introduces an approach for the design and decision making of primary energy source, production, storage, and distribution networks for hydrogen supply in regions (or countries) under emission constraints. The problem was mathematically represented using a source-sink system approach to determine the most suitable hydrogen supply chain (HSC) network. The optimization problem was formulated as a Mixed Integer Linear Programming (MILP) model using GAMS® modeling system. The optimization objective consists of the minimization of the total network cost, both in terms of capital and operating expenditures, subject to: supply, demand, mass conservation, technical performance, economic, and environmental constraints. The model was used to plan the future hydrogen supply chain network for Germany in the year 2030 under emission constraints. The optimization results show that the model is a valuable tool for planning the optimal hydrogen supply chain network of a particular region or country.

Suggested Citation

  • Almansoori, A. & Betancourt-Torcat, A., 2016. "Design of optimization model for a hydrogen supply chain under emission constraints - A case study of Germany," Energy, Elsevier, vol. 111(C), pages 414-429.
    • Handle: RePEc:eee:energy:v:111:y:2016:i:c:p:414-429
    DOI: 10.1016/j.energy.2016.05.123
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    Cited by:

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    4. Li, Lei & Manier, Hervé & Manier, Marie-Ange, 2019. "Hydrogen supply chain network design: An optimization-oriented review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 342-360.
    5. Sgarbossa, Fabio & Arena, Simone & Tang, Ou & Peron, Mirco, 2023. "Renewable hydrogen supply chains: A planning matrix and an agenda for future research," International Journal of Production Economics, Elsevier, vol. 255(C).
    6. Yoon, Ha-Jun & Seo, Seung-Kwon & Lee, Chul-Jin, 2022. "Multi-period optimization of hydrogen supply chain utilizing natural gas pipelines and byproduct hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    7. Sgarbossa, Fabio & Arena, Simone & Tang, Ou & Peron, Mirco, 2022. "Reprint of: Renewable hydrogen supply chains: A planning matrix and an agenda for future research," International Journal of Production Economics, Elsevier, vol. 250(C).
    8. Peng, Wei & Xin, Baogui & Xie, Lei, 2023. "Optimal strategies for production plan and carbon emission reduction in a hydrogen supply chain under cap-and-trade policy," Renewable Energy, Elsevier, vol. 215(C).
    9. Noor Yusuf & Tareq Al-Ansari, 2023. "Current and Future Role of Natural Gas Supply Chains in the Transition to a Low-Carbon Hydrogen Economy: A Comprehensive Review on Integrated Natural Gas Supply Chain Optimisation Models," Energies, MDPI, vol. 16(22), pages 1-33, November.
    10. Ruffini, Eleonora & Wei, Max, 2018. "Future costs of fuel cell electric vehicles in California using a learning rate approach," Energy, Elsevier, vol. 150(C), pages 329-341.
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    13. Sun, Zuo-Yu & Li, Guo-Xiu, 2016. "Propagation characteristics of laminar spherical flames within homogeneous hydrogen-air mixtures," Energy, Elsevier, vol. 116(P1), pages 116-127.
    14. Obara, Shin'ya & Hamanaka, Ryo & El-Sayed, Abeer Galal, 2019. "Design methods for microgrids to address seasonal energy availability – A case study of proposed Showa Antarctic Station retrofits," Applied Energy, Elsevier, vol. 236(C), pages 711-727.
    15. Seo, Seung-Kwon & Yun, Dong-Yeol & Lee, Chul-Jin, 2020. "Design and optimization of a hydrogen supply chain using a centralized storage model," Applied Energy, Elsevier, vol. 262(C).
    16. Sungmi Bae & Eunhan Lee & Jinil Han, 2020. "Multi-Period Planning of Hydrogen Supply Network for Refuelling Hydrogen Fuel Cell Vehicles in Urban Areas," Sustainability, MDPI, vol. 12(10), pages 1-23, May.
    17. Jesus Ochoa Robles & Catherine Azzaro-Pantel & Guillem Martinez Garcia & Alberto Aguilar Lasserre, 2020. "Social cost-benefit assessment as a post-optimal analysis for hydrogen supply chain design and deployment: Application to Occitania (France)," Post-Print hal-03118656, HAL.
    18. Wang, Guotao & Liao, Qi & Li, Zhengbing & Zhang, Haoran & Liang, Yongtu & Wei, Xuemei, 2022. "How does soaring natural gas prices impact renewable energy: A case study in China," Energy, Elsevier, vol. 252(C).
    19. De-León Almaraz, Sofía & Rácz, Viktor & Azzaro-Pantel, Catherine & Szántó, Zoltán Oszkár, 2022. "Multiobjective and social cost-benefit optimisation for a sustainable hydrogen supply chain: Application to Hungary," Applied Energy, Elsevier, vol. 325(C).
    20. Li, Tianxiao & Liu, Pei & Li, Zheng, 2021. "Optimal scale of natural gas reserves in China under increasing and fluctuating demand: A quantitative analysis," Energy Policy, Elsevier, vol. 152(C).
    21. Reuß, Markus & Grube, Thomas & Robinius, Martin & Stolten, Detlef, 2019. "A hydrogen supply chain with spatial resolution: Comparative analysis of infrastructure technologies in Germany," Applied Energy, Elsevier, vol. 247(C), pages 438-453.
    22. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
    23. Xiao, Peng & Lee, Chia-fon & Wu, Han & Liu, Fushui, 2020. "Effects of hydrogen addition on the laminar methanol-air flame under different initial temperatures," Renewable Energy, Elsevier, vol. 154(C), pages 209-222.

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