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Mathematical model to optimize design of integrated utility supply network and future global hydrogen supply network under demand uncertainty

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  • Hwangbo, Soonho
  • Lee, In-Beum
  • Han, Jeehoon

Abstract

Existing energy-efficient management and development of alternative energy infrastructure are the most important issues in modern industry. The former has been mainly studied in terms of optimal design of utility supply network. The latter has been consistently researched in the field of strategic planning of future global hydrogen supply network. In this work, we develop an integrated network model of huge chemical industrial complexes to combine various utility supply networks with a global hydrogen supply network. To construct an integrated network model, the steam methane reforming process is used as a linkage between the two networks. The developed model is a two-stage stochastic mixed integer linear programming that optimizes total cost and also considers demand uncertainty about water, electricity, steam, and hydrogen that are consumed in each network. Finally, a case study in South Korea is conducted to validate the proposed model; it suggests reasonable scenarios to decision makers.

Suggested Citation

  • Hwangbo, Soonho & Lee, In-Beum & Han, Jeehoon, 2017. "Mathematical model to optimize design of integrated utility supply network and future global hydrogen supply network under demand uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 257-267.
    • Handle: RePEc:eee:appene:v:195:y:2017:i:c:p:257-267
    DOI: 10.1016/j.apenergy.2017.03.041
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    3. Eirini Aivazidou & Dimitrios Aidonis & Naoum Tsolakis & Charisios Achillas & Dimitrios Vlachos, 2022. "Wine Supply Chain Network Configuration under a Water Footprint Cap," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
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    5. Pierre, Cayet & Catherine, Azzaro-Pantel & Sylvain, Bourjade & Catherine, Muller-Vibes, 2024. "Beyond the “bottom-up” and “top-down” controversy: A methodological inquiry into hybrid modeling methods for hydrogen supply chains," International Journal of Production Economics, Elsevier, vol. 268(C).
    6. Hwangbo, Soonho & Heo, SungKu & Yoo, ChangKyoo, 2022. "Development of deterministic-stochastic model to integrate variable renewable energy-driven electricity and large-scale utility networks: Towards decarbonization petrochemical industry," Energy, Elsevier, vol. 238(PC).
    7. 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.
    8. Simonas Cerniauskas & Thomas Grube & Aaron Praktiknjo & Detlef Stolten & Martin Robinius, 2019. "Future Hydrogen Markets for Transportation and Industry: The Impact of CO 2 Taxes," Energies, MDPI, vol. 12(24), pages 1-26, December.
    9. Galvan-Cara, Aldwin-Lois & Graells, Moisès & Espuña, Antonio, 2022. "Application of Industrial Symbiosis principles to the management of utility networks," Applied Energy, Elsevier, vol. 305(C).
    10. Hwangbo, Soonho & Lee, Seungchul & Yoo, Changkyoo, 2017. "Optimal network design of hydrogen production by integrated utility and biogas supply networks," Applied Energy, Elsevier, vol. 208(C), pages 195-209.
    11. Ganter, Alissa & Gabrielli, Paolo & Sansavini, Giovanni, 2024. "Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 194(C).
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    13. Yáñez, María & Ortiz, Alfredo & Brunaud, Braulio & Grossmann, Ignacio E. & Ortiz, Inmaculada, 2018. "Contribution of upcycling surplus hydrogen to design a sustainable supply chain: The case study of Northern Spain," Applied Energy, Elsevier, vol. 231(C), pages 777-787.

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