RT Journal Article
T1 A taxonomy of models for investigating hydrogen energy systems
A1 Blanco, Herib
A1 Leaver, Jonathan
A1 Dodds, Paul E.
A1 Dickinson, Robert
A1 García-Gusano, Diego
A1 Iribarren, Diego
A1 Lind, Arne
A1 Wang, Changlong
A1 Danebergs, Janis
A1 Baumann, Martin
AB Hydrogen can serve multiple purposes within the energy system, from flexibility provider, to decarbonizing hard-to-abate sectors, to chemical feedstock. A range of model paradigms have been developed to assess the potential for hydrogen energy systems while accounting for the unique characteristics of hydrogen. This study proposes a taxonomy to classify models of hydrogen energy systems. The taxonomy is based on a review of 29 studies that proposed a taxonomy for energy models in general. This review identified 124 categories that are commonly used to map models, which were grouped into six major categories. This general taxonomy was then adapted to hydrogen, leaving only 32 categories in four major categories. Nine hydrogen archetypes that cover the entire spectrum of studies of hydrogen energy systems were identified. Each of these archetypes was mapped against the categories defined which allowed identifying common gaps across archetypes and degree of interrelationship between them. The environmental and high spatial resolution aspects are only covered by one archetype. The correlation between archetypes assessed in this study can be used to identify opportunities for soft-linking. All the archetypes provide partial answers and using a modeling suite composed of various models could address shortcomings of individual archetypes. All models have a strong focus on technology and costs, with other aspects such as the innovation cycle, market design and policy levers to promote deployment receiving little focus. Capturing these dynamics in the hydrogen archetypes would enable a more holistic analysis and would also facilitate subsequent action.
SN 1364-0321
YR 2022
FD 2022-10
LK https://hdl.handle.net/11556/4798
UL https://hdl.handle.net/11556/4798
LA eng
NO Blanco , H , Leaver , J , Dodds , P E , Dickinson , R , García-Gusano , D , Iribarren , D , Lind , A , Wang , C , Danebergs , J & Baumann , M 2022 , ' A taxonomy of models for investigating hydrogen energy systems ' , Renewable and Sustainable Energy Reviews , vol. 167 , 112698 . https://doi.org/10.1016/j.rser.2022.112698
NO Publisher Copyright: © 2022 Elsevier Ltd
NO Dodds was supported by the EPSRC Hydrogen and Fuel Cell Supergen Hub (grant EP/J016454/1 ). Dickinson was supported in part by AusIndustry's RTI Program . Lind was supported by the Research Council of Norway through grant number 295981 . The authors would like to thank Omar José Guerra Fernández from the National Renewable Energy Laboratory (NREL) for providing comments on an earlier version of the manuscript which greatly improved the content.‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ This work was developed in the framework of Task 41 Data and Modeling of the IEA Hydrogen TCP. Dodds was supported by the EPSRC Hydrogen and Fuel Cell Supergen Hub (grant EP/J016454/1). Dickinson was supported in part by AusIndustry's RTI Program. Lind was supported by the Research Council of Norway through grant number 295981. The authors would like to thank Omar José Guerra Fernández from the National Renewable Energy Laboratory (NREL) for providing comments on an earlier version of the manuscript which greatly improved the content.‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ This work was developed in the framework of Task 41 Data and Modeling of the IEA Hydrogen TCP.
DS TECNALIA Publications
RD 1 sept 2024