IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v103y2019icp342-360.html
   My bibliography  Save this article

Hydrogen supply chain network design: An optimization-oriented review

Author

Listed:
  • Li, Lei
  • Manier, Hervé
  • Manier, Marie-Ange

Abstract

This study reviews the papers that pertain to the hydrogen supply chain network design (HSCND) models published in scientific journals. A few drawbacks (e.g., the treatment of uncertainty and feedstock problems) and missing aspects (e.g., the intertemporal integration planning) in the literature are identified, thus motivating the development of a comprehensive HSCND methodology. Key components of the hydrogen supply chain are presented; thereafter, the models are analyzed and classified based on their decisions, performance measures, uncertainties, solution methodologies, and other model features. Moreover, an effort was made to complete the critical pre-optimization preparation works, which are essential but have been overlooked in previous reviews. Finally, a list of potential problems for future research directions is recommended.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:103:y:2019:i:c:p:342-360
    DOI: 10.1016/j.rser.2018.12.060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032118308633
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2018.12.060?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ayalur Chattanathan, Shyamsundar & Adhikari, Sushil & Abdoulmoumine, Nourredine, 2012. "A review on current status of hydrogen production from bio-oil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2366-2372.
    2. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    3. Sabri, Ehap H. & Beamon, Benita M., 2000. "A multi-objective approach to simultaneous strategic and operational planning in supply chain design," Omega, Elsevier, vol. 28(5), pages 581-598, October.
    4. Reuß, M. & Grube, T. & Robinius, M. & Preuster, P. & Wasserscheid, P. & Stolten, D., 2017. "Seasonal storage and alternative carriers: A flexible hydrogen supply chain model," Applied Energy, Elsevier, vol. 200(C), pages 290-302.
    5. Alazemi, Jasem & Andrews, John, 2015. "Automotive hydrogen fuelling stations: An international review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 483-499.
    6. 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.
    7. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    8. Nikolaidis, Pavlos & Poullikkas, Andreas, 2017. "A comparative overview of hydrogen production processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 597-611.
    9. Lahnaoui, Amin & Wulf, Christina & Heinrichs, Heidi & Dalmazzone, Didier, 2018. "Optimizing hydrogen transportation system for mobility by minimizing the cost of transportation via compressed gas truck in North Rhine-Westphalia," Applied Energy, Elsevier, vol. 223(C), pages 317-328.
    10. Mula, Josefa & Peidro, David & Díaz-Madroñero, Manuel & Vicens, Eduardo, 2010. "Mathematical programming models for supply chain production and transport planning," European Journal of Operational Research, Elsevier, vol. 204(3), pages 377-390, August.
    11. Welder, Lara & Ryberg, D.Severin & Kotzur, Leander & Grube, Thomas & Robinius, Martin & Stolten, Detlef, 2018. "Spatio-temporal optimization of a future energy system for power-to-hydrogen applications in Germany," Energy, Elsevier, vol. 158(C), pages 1130-1149.
    12. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    13. Bersani, Chiara & Minciardi, Riccardo & Sacile, Roberto & Trasforini, Eva, 2009. "Network planning of fuelling service stations in a near-term competitive scenario of the hydrogen economy," Socio-Economic Planning Sciences, Elsevier, vol. 43(1), pages 55-71, March.
    14. Suvrajeet Sen & Julia L. Higle, 1999. "An Introductory Tutorial on Stochastic Linear Programming Models," Interfaces, INFORMS, vol. 29(2), pages 33-61, April.
    15. Vedat Verter & M. Cemal Dincer, 1995. "Facility location and capacity acquisition: An integrated approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(8), pages 1141-1160, December.
    16. Krishnan, Venkat & Gonzalez-Marciaga, Lizbeth & McCalley, James, 2014. "A planning model to assess hydrogen as an alternative fuel for national light-duty vehicle portfolio," Energy, Elsevier, vol. 73(C), pages 943-957.
    17. de Vries, Harwin & Duijzer, Evelot, 2017. "Incorporating driving range variability in network design for refueling facilities," Omega, Elsevier, vol. 69(C), pages 102-114.
    18. N/A, 2013. "The UK economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 225(1), pages 3-3, August.
    19. Gül, Timur & Kypreos, Socrates & Turton, Hal & Barreto, Leonardo, 2009. "An energy-economic scenario analysis of alternative fuels for personal transport using the Global Multi-regional MARKAL model (GMM)," Energy, Elsevier, vol. 34(10), pages 1423-1437.
    20. Julka, Nirupam & Baines, Tim & Tjahjono, Benny & Lendermann, Peter & Vitanov, Val, 2007. "A review of multi-factor capacity expansion models for manufacturing plants: Searching for a holistic decision aid," International Journal of Production Economics, Elsevier, vol. 106(2), pages 607-621, April.
    21. Abbasi, Tasneem & Abbasi, S.A., 2011. "'Renewable' hydrogen: Prospects and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3034-3040, August.
    22. Tseng, Phillip & Lee, John & Friley, Paul, 2005. "A hydrogen economy: opportunities and challenges," Energy, Elsevier, vol. 30(14), pages 2703-2720.
    23. Yeh, Sonia & Farrell, Alexander E. & Plevin, Richard J & Sanstad, Alan & Weyant, John, 2008. "Optimizing U.S. Mitigation Strategies for the Light-Duty Transportation Sector: What We Learn from a Bottom-Up Model," Institute of Transportation Studies, Working Paper Series qt1td1g7qw, Institute of Transportation Studies, UC Davis.
    24. Won, Wangyun & Kwon, Hweeung & Han, Jee-Hoon & Kim, Jiyong, 2017. "Design and operation of renewable energy sources based hydrogen supply system: Technology integration and optimization," Renewable Energy, Elsevier, vol. 103(C), pages 226-238.
    25. Rath-Nagel, Stefan & Stocks, Kenneth, 1982. "Energy modelling for technology assessment: the MARKAL approach," Omega, Elsevier, vol. 10(5), pages 493-505.
    26. Amiri, Ali, 2006. "Designing a distribution network in a supply chain system: Formulation and efficient solution procedure," European Journal of Operational Research, Elsevier, vol. 171(2), pages 567-576, June.
    27. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    28. De Meyer, Annelies & Cattrysse, Dirk & Rasinmäki, Jussi & Van Orshoven, Jos, 2014. "Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 657-670.
    29. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    30. Parker, Nathan & Fan, Yueyue & Ogden, Joan, 2010. "From waste to hydrogen: An optimal design of energy production and distribution network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(4), pages 534-545, July.
    31. André, Jean & Auray, Stéphane & Brac, Jean & De Wolf, Daniel & Maisonnier, Guy & Ould-Sidi, Mohamed-Mahmoud & Simonnet, Antoine, 2013. "Design and dimensioning of hydrogen transmission pipeline networks," European Journal of Operational Research, Elsevier, vol. 229(1), pages 239-251.
    32. Jean André & Stéphane Auray & Daniel de Wolf & Mohamed-Mahmoud Memmah & Antoine Simonnet, 2014. "Time development of new hydrogen transmission pipeline networks for France," Post-Print halshs-02396799, HAL.
    33. Gary D. Eppen & R. Kipp Martin & Linus Schrage, 1989. "OR Practice—A Scenario Approach to Capacity Planning," Operations Research, INFORMS, vol. 37(4), pages 517-527, August.
    34. Kuby, Michael & Lim, Seow, 2005. "The flow-refueling location problem for alternative-fuel vehicles," Socio-Economic Planning Sciences, Elsevier, vol. 39(2), pages 125-145, June.
    35. Santoso, Tjendera & Ahmed, Shabbir & Goetschalckx, Marc & Shapiro, Alexander, 2005. "A stochastic programming approach for supply chain network design under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 96-115, November.
    36. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    37. Stadtler, Hartmut, 2005. "Supply chain management and advanced planning--basics, overview and challenges," European Journal of Operational Research, Elsevier, vol. 163(3), pages 575-588, June.
    38. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul, 2016. "Hydrogen production from renewable and sustainable energy resources: Promising green energy carrier for clean development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 850-866.
    39. 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.
    40. Mark S. Daskin & Lawrence V. Snyder & Rosemary T. Berger, 2005. "Facility Location in Supply Chain Design," Springer Books, in: André Langevin & Diane Riopel (ed.), Logistics Systems: Design and Optimization, chapter 0, pages 39-65, Springer.
    41. Daniel Krzyzanowski & Socrates Kypreos & Leonardo Barreto, 2008. "Supporting hydrogen based transportation: case studies with Global MARKAL Model," Computational Management Science, Springer, vol. 5(3), pages 207-231, May.
    42. John M. Mulvey & Robert J. Vanderbei & Stavros A. Zenios, 1995. "Robust Optimization of Large-Scale Systems," Operations Research, INFORMS, vol. 43(2), pages 264-281, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. 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).
    4. 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.
    5. 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).
    6. Gilani, Hani & Sahebi, Hadi, 2022. "A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain," Omega, Elsevier, vol. 110(C).
    7. 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.
    8. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    9. Walther, Grit & Schatka, Anne & Spengler, Thomas S., 2012. "Design of regional production networks for second generation synthetic bio-fuel – A case study in Northern Germany," European Journal of Operational Research, Elsevier, vol. 218(1), pages 280-292.
    10. Sprenger, Philipp & Parlings, Matthias & Hegmanns, Tobias, 2014. "Planning Approach for Robust Manufacturing Footprint Decisions," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 29-50, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    11. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    12. 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).
    13. Ivanov, Dmitry & Pavlov, Alexander & Sokolov, Boris, 2014. "Optimal distribution (re)planning in a centralized multi-stage supply network under conditions of the ripple effect and structure dynamics," European Journal of Operational Research, Elsevier, vol. 237(2), pages 758-770.
    14. Tordecilla-Madera, Rafael & Polo, Andrés & Muñoz, Dairo & González-Rodríguez, Leonardo, 2017. "A robust design for a Colombian dairy cooperative's milk storage and refrigeration logistics system using binary programming," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 710-720.
    15. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2016. "The impact of operations anticipations on the quality of stochastic location-allocation models," Omega, Elsevier, vol. 62(C), pages 19-33.
    16. Ouhimmou, Mustapha & Nourelfath, Mustapha & Bouchard, Mathieu & Bricha, Naji, 2019. "Design of robust distribution network under demand uncertainty: A case study in the pulp and paper," International Journal of Production Economics, Elsevier, vol. 218(C), pages 96-105.
    17. Blossey, Gregor & Hahn, Gerd J. & Koberstein, Achim, 2022. "Planning pharmaceutical manufacturing networks in the light of uncertain production approval times," International Journal of Production Economics, Elsevier, vol. 244(C).
    18. Margolis, Joshua T. & Sullivan, Kelly M. & Mason, Scott J. & Magagnotti, Mariah, 2018. "A multi-objective optimization model for designing resilient supply chain networks," International Journal of Production Economics, Elsevier, vol. 204(C), pages 174-185.
    19. Marino, C. & Nucara, A. & Panzera, M.F. & Pietrafesa, M. & Varano, V., 2019. "Energetic and economic analysis of a stand alone photovoltaic system with hydrogen storage," Renewable Energy, Elsevier, vol. 142(C), pages 316-329.
    20. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:103:y:2019:i:c:p:342-360. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.