A taxonomy of models for investigating hydrogen energy systems

Simple item page
dc.contributor.authorBlanco, Herib
dc.contributor.authorLeaver, Jonathan
dc.contributor.authorDodds, Paul E.
dc.contributor.authorDickinson, Robert
dc.contributor.authorGarcía-Gusano, Diego
dc.contributor.authorIribarren, Diego
dc.contributor.authorLind, Arne
dc.contributor.authorWang, Changlong
dc.contributor.authorDanebergs, Janis
dc.contributor.authorBaumann, Martin
dc.contributor.institutionPLANIFICACIÓN ENERGÉTICA
dc.date.accessioned2024-08-21T08:00:06Z
dc.date.available2024-08-21T08:00:06Z
dc.date.issued2022-10
dc.descriptionPublisher Copyright: © 2022 Elsevier Ltd
dc.description.abstractHydrogen 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.en
dc.description.sponsorshipDodds 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.
dc.description.statusPeer reviewed
dc.identifier.citationBlanco , 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
dc.identifier.doi10.1016/j.rser.2022.112698
dc.identifier.issn1364-0321
dc.identifier.urihttps://hdl.handle.net/11556/4798
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85132729548&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofRenewable and Sustainable Energy Reviews
dc.relation.projectIDAusIndustry's RTI
dc.relation.projectIDEPSRC Hydrogen and Fuel Cell Supergen Hub, EP/J016454/1
dc.relation.projectIDNational Renewable Energy Laboratory, NREL
dc.relation.projectIDNorges Forskningsråd, 295981
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsArchetypes
dc.subject.keywordsChallenges
dc.subject.keywordsClassification
dc.subject.keywordsHydrogen
dc.subject.keywordsModel
dc.subject.keywordsTaxonomy
dc.subject.keywordsRenewable Energy, Sustainability and the Environment
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.titleA taxonomy of models for investigating hydrogen energy systemsen
dc.typejournal article
Files