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Application of an electrolysis system model for techno-economic optimization of hydrogen production in industry-based case studies
KTH, School of Industrial Engineering and Management (ITM). Tech Univ Munich, Chair Renewable & Sustainable Energy Syst, Sch Engn & Design, Dept Energy & Proc Engn, Lichtenbergstr 4a, D-85748 Garching, Germany; KTH Royal Inst Technol, Dept Energy Technol, Div Energy Syst, Brinellvagen 68, S-10044 Stockholm, Sweden; Accenture Germany, Campus Kronberg 1, D-61476 Kronberg, Germany.
Tech Univ Munich, Chair Renewable & Sustainable Energy Syst, Sch Engn & Design, Dept Energy & Proc Engn, Lichtenbergstr 4a, D-85748 Garching, Germany.
Accenture Germany, Campus Kronberg 1, D-61476 Kronberg, Germany.
Accenture Germany, Campus Kronberg 1, D-61476 Kronberg, Germany.
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2025 (English)In: International journal of hydrogen energy, ISSN 0360-3199, E-ISSN 1879-3487, Vol. 138, p. 1144-1162Article in journal (Refereed) Published
Abstract [en]

Even with favorable policy frameworks, green hydrogen has not been cost-competitive in Europe. Optimizing hydrogen production can reduce the Levelized Costs of Hydrogen (LCOH). In this research, an electrolysis system model is developed to optimize hydrogen production in two industrial settings. The model incorporates technical aspects such as part-load behavior, stack degradation, and energy inputs (i.e., electricity price and volume projections). Mid-scale hydrogen production for heavy-duty transport refuelling in Germany has the lowest LCOH at 8 <euro>/kg (with a 16 MWel electrolysis system), whereas large-scale hydrogen production for the refinery industry in Portugal achieves 4 <euro>/kg (with a 128 MWel system). The study reveals that the optimal system configuration depends on energy prices, technology costs, efficiency, load flexibility, and storage options. This study could be helpful in operationalizing hydrogen production systems (e.g., stack operation and replacement strategies) depending on energy supply and hydrogen demand over the lifetime.

Place, publisher, year, edition, pages
Elsevier BV , 2025. Vol. 138, p. 1144-1162
Keywords [en]
Green hydrogen production, Electrolysis systems, Industrial use cases, Levelized cost of hydrogen (LCOH), Techno-economic optimization, Mixed-integer linear programming
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-370533DOI: 10.1016/j.ijhydene.2025.03.291ISI: 001513410100001Scopus ID: 2-s2.0-105004670367OAI: oai:DiVA.org:kth-370533DiVA, id: diva2:2007257
Note

QC 20251017

Available from: 2025-10-17 Created: 2025-10-17 Last updated: 2025-10-17Bibliographically approved

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Köstlbacher, JurgenKhatiwada, Dilip

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