Modelling hydrogen in sector coupled energy systems

Hydrogen is expected to play a key role in achieving a carbon neutral energy system in the future. Therefore, modelling of hydrogen is becoming an increasingly integrated part of sector coupled energy system modelling tools. However, results from different models and scenarios show different needs for hydrogen infrastructure and deployment of electrolysers. There is therefore an urgent need for a transparent communication of the main modelling features and input data that can impact the results related to hydrogen production in national energy systems. In this paper, we propose a framework that can be applied when modelling hydrogen in sector coupled energy systems. The proposed framework is based on the outcomes of a comparative assessment of different scenarios, which are conducted using five state-of-the-art energy system modelling tools. We discuss discrepancies in scenario results and quantify specific impacts related to varying different modelling features, such as model type, spatial and temporal resolution, grid modelling, boundary conditions, as well as input data and assumptions. Overall, the proposed framework can serve as a guideline for documentation and modelling of hydrogen in sector coupled energy systems and aims to increase transparency both for energy system modellers, as well as for policy and decision-makers. • Propose a framework for modelling hydrogen in sector coupled energy systems • Identify the role of hydrogen in future sector coupled energy systems • Identify critical input data, assumptions, and modelling features impacting hydrogen results • Highlight the importance of open and transparent communication of input assumptions

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Publication Details

Journal
Energy
Published
2025-06-13
DOI
https://doi.org/10.1016/j.energy.2025.137092
Citations
5
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
3.65

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article

Modelling hydrogen in sector coupled energy systems

Andrea Marín Radoszynski, Marie Münster, Meng Yuan, Kenneth Bernard Karlsson et al.
5 citations
Energy
Integrated Energy Systems Optimization
3.65
article

Modelling hydrogen in sector coupled energy systems

Andrea Marín Radoszynski, Marie Münster, Meng Yuan, Kenneth Bernard Karlsson, Jakob Zinck Thellufsen, Rasmus Bramstoft, Dimitrios Eleftheriou, Nicolas Campion, Lars Bregnbæk, Ioannis Kountouris, Christos Koumparakis, Henrik Lund
article en
5 citations

Abstract

Hydrogen is expected to play a key role in achieving a carbon neutral energy system in the future. Therefore, modelling of hydrogen is becoming an increasingly integrated part of sector coupled energy system modelling tools. However, results from different models and scenarios show different needs for hydrogen infrastructure and deployment of electrolysers. There is therefore an urgent need for a transparent communication of the main modelling features and input data that can impact the results related to hydrogen production in national energy systems. In this paper, we propose a framework that can be applied when modelling hydrogen in sector coupled energy systems. The proposed framework is based on the outcomes of a comparative assessment of different scenarios, which are conducted using five state-of-the-art energy system modelling tools. We discuss discrepancies in scenario results and quantify specific impacts related to varying different modelling features, such as model type, spatial and temporal resolution, grid modelling, boundary conditions, as well as input data and assumptions. Overall, the proposed framework can serve as a guideline for documentation and modelling of hydrogen in sector coupled energy systems and aims to increase transparency both for energy system modellers, as well as for policy and decision-makers. • Propose a framework for modelling hydrogen in sector coupled energy systems • Identify the role of hydrogen in future sector coupled energy systems • Identify critical input data, assumptions, and modelling features impacting hydrogen results • Highlight the importance of open and transparent communication of input assumptions

EnergyVol. 332
Energinet (Denmark) (DK), Aalborg University (DK), Technical University of Denmark (DK)
Innovationsfonden
Affordable and clean energy
Openalex Percentile: Top 7%
Integrated Energy Systems Optimization
3.65
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