Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty
<p>Hydrogen has emerged as a crucial energy carrier, playing a vital role in the global transition towards a low-carbon economy. Despite its growing strategic importance, accurately forecasting hydrogen demand remains challenging due to the influence of diverse and interdependent factors. An e...
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2025
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| _version_ | 1864513543146045440 |
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| author | Mohamed Amjath (17542512) |
| author2 | Fadwa Eljack (3333444) Mohamed Haouari (10340697) |
| author2_role | author author |
| author_facet | Mohamed Amjath (17542512) Fadwa Eljack (3333444) Mohamed Haouari (10340697) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohamed Amjath (17542512) Fadwa Eljack (3333444) Mohamed Haouari (10340697) |
| dc.date.none.fl_str_mv | 2025-07-26T15:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.compchemeng.2025.109298 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Stochastic_optimization_for_strategic_planning_of_efficient_and_sustainable_hydrogen_supply_chain_networks_under_demand_uncertainty/29655806 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Electrical engineering Fluid mechanics and thermal engineering Hydrogen supply chain Stochastic optimization Hydrogen economy Demand uncertainty Strategic planning |
| dc.title.none.fl_str_mv | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Hydrogen has emerged as a crucial energy carrier, playing a vital role in the global transition towards a low-carbon economy. Despite its growing strategic importance, accurately forecasting hydrogen demand remains challenging due to the influence of diverse and interdependent factors. An effective and sustainable infrastructure planning requires modeling frameworks that explicitly incorporate demand uncertainty inherent in hydrogen market projections. This study proposes a stochastic mixed-integer linear programming (SMILP) framework for optimizing the strategic development of hydrogen supply chain (HSC) infrastructure, accounting for the demand uncertainty. Demand uncertainty is modeled using discrete probabilistic realizations across multiple time periods. A novel approach is presented in incorporating and quantifying the expected penalty costs for unfulfilled demand through a linear formulation. The proposed model aims to minimize the total system cost, encompassing both economic and emission costs across all stages of the HSC, including production, conditioning and storage, transportation, and re-conditioning. This study uses Qatar as an illustrative case to evaluate three distinct investment strategies to test the model's applicability in real-world scenarios. Across the different strategies, the end-to-end levelized cost of hydrogen (LCOH) for the entire supply chain ranges from $3.55/kg to $3.68/kg, while the production LCOH ranges from $1.18/kg to $1.23/kg. The findings highlight the importance of adopting a balanced approach to infrastructure planning, particularly under volatile and fluctuating market conditions.</p><h2>Other Information</h2> <p> Published in: Computers & Chemical Engineering<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compchemeng.2025.109298" target="_blank">https://dx.doi.org/10.1016/j.compchemeng.2025.109298</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_7a977c2ee7dfe659730ee094054cc268 |
| identifier_str_mv | 10.1016/j.compchemeng.2025.109298 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29655806 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertaintyMohamed Amjath (17542512)Fadwa Eljack (3333444)Mohamed Haouari (10340697)Commerce, management, tourism and servicesTransportation, logistics and supply chainsEngineeringElectrical engineeringFluid mechanics and thermal engineeringHydrogen supply chainStochastic optimizationHydrogen economyDemand uncertaintyStrategic planning<p>Hydrogen has emerged as a crucial energy carrier, playing a vital role in the global transition towards a low-carbon economy. Despite its growing strategic importance, accurately forecasting hydrogen demand remains challenging due to the influence of diverse and interdependent factors. An effective and sustainable infrastructure planning requires modeling frameworks that explicitly incorporate demand uncertainty inherent in hydrogen market projections. This study proposes a stochastic mixed-integer linear programming (SMILP) framework for optimizing the strategic development of hydrogen supply chain (HSC) infrastructure, accounting for the demand uncertainty. Demand uncertainty is modeled using discrete probabilistic realizations across multiple time periods. A novel approach is presented in incorporating and quantifying the expected penalty costs for unfulfilled demand through a linear formulation. The proposed model aims to minimize the total system cost, encompassing both economic and emission costs across all stages of the HSC, including production, conditioning and storage, transportation, and re-conditioning. This study uses Qatar as an illustrative case to evaluate three distinct investment strategies to test the model's applicability in real-world scenarios. Across the different strategies, the end-to-end levelized cost of hydrogen (LCOH) for the entire supply chain ranges from $3.55/kg to $3.68/kg, while the production LCOH ranges from $1.18/kg to $1.23/kg. The findings highlight the importance of adopting a balanced approach to infrastructure planning, particularly under volatile and fluctuating market conditions.</p><h2>Other Information</h2> <p> Published in: Computers & Chemical Engineering<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compchemeng.2025.109298" target="_blank">https://dx.doi.org/10.1016/j.compchemeng.2025.109298</a></p>2025-07-26T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.compchemeng.2025.109298https://figshare.com/articles/journal_contribution/Stochastic_optimization_for_strategic_planning_of_efficient_and_sustainable_hydrogen_supply_chain_networks_under_demand_uncertainty/29655806CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296558062025-07-26T15:00:00Z |
| spellingShingle | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty Mohamed Amjath (17542512) Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Electrical engineering Fluid mechanics and thermal engineering Hydrogen supply chain Stochastic optimization Hydrogen economy Demand uncertainty Strategic planning |
| status_str | publishedVersion |
| title | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty |
| title_full | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty |
| title_fullStr | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty |
| title_full_unstemmed | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty |
| title_short | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty |
| title_sort | Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty |
| topic | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Electrical engineering Fluid mechanics and thermal engineering Hydrogen supply chain Stochastic optimization Hydrogen economy Demand uncertainty Strategic planning |