Mathematical Modeling
Vol. 9 (2025), Issue 2, pg(s) 58-61

MATHEMATICAL MODELLING OF TECHNOLOGICAL PROCESSES AND SYSTEMS

Mathematical modeling of the hydrogen supply chain — an integrated approach for sustainable transport

  • 1 Burgas State University ―Prof. dr Assen Zlatarov‖ – Bulgaria

Abstract

This study proposes a mathematical model for design and optimization of a hydrogen supply chain, covering all stages of the life cycle – feedstocks, production, storage, distribution, end-use in the transport sector. The developed methodology integrates different hydrogen production technologies and takes into account environmental, economic and social impacts in order to identify the most efficient and sustainable configuration. The focus in this work falls on hydrogen production by steam reforming of methane and hydrogen production by electrolysis of water in hydrogen refueling stations. The mathematical model is formulated in terms of MILP programming and can be solved using the GAMS software product. The aim is to find an optimal balance between economic efficiency, environmental sustainability and social impact by using weighted coefficients (weights). The proposed concept provides a decision-making tool for planning hydrogen infrastructure in line with European decarbonization and sustainable transport goals.

Keywords

References

  1. M.A. Mac Kinnon, Int. J. Hydrogen Energy, 41, 16592–16603 (2016). https://doi.org/10.1016/j.ijhydene.2016.07.054
  2. United Nations, Sustainable Development Goals (2015). https://sdgs.un.org/goals
  3. B.J. Dixon, K. Bell, S. Brush, Renew. Sustain. Energy Transit., 2, 100016 (2022). https://doi.org/10.1016/j.rset.2021.100016
  4. M.A. Rosen, S. Koohi Fayegh, Energy Ecol. Environ., 1, 10– 29 (2016). https://doi.org/10.1007/s40974-016-0005-z
  5. R. Etezdai, AIChE J., 71, 18645 (2025). https://doi.org/10.1002/aic.18645
  6. S. Tasleem, E.H. Alsharaeh, Energy Convers. Manag., 326, 119500 (2025). https://doi.org/10.1016/j.enconman.2025.119500
  7. D. Konovalov, Renew. Sustain. Energy Rev., 226, 116378 (2026). https://doi.org/10.1016/j.rser.2025.116378
  8. IEA, ―Limits on hydrogen blending in natural gas networks.‖ IEA (2018). https://www.iea.org/data-and-statistics/charts/limits-on-hydrogen-blending-in-natural-gas-networks-2018
  9. IEA, The Future of Hydrogen (2019). https://www.iea.org/reports/the-future-of-hydrogen
  10. A.-M. Chirosca, E. Rusu, V. Minzu, Energies, 17, (5820 (2024). https://doi.org/10.3390/en17235820
  11. C. Kim, S.H. Cho, S.M. Cho, Y. Na, S. Kim, D.K. Kim, Int. J. Hydrogen Energy, 48 , 1701–1716 (2023). https://doi.org/10.1016/j.ijhydene.2022.10.053
  12. https://www.cadastre.bg/
  13. https://www.mrrb.bg
  14. https://rta.government.bg/bg/archive_c_prevoz_opasni_tovari
  15. https://energy.ec.europa.eu/topics/eus-energy-system/hydrogen/european-hydrogen-bank_en
  16. https://www.consilium.europa.eu/en/policies/fit-for-55/

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