A bibliometric based analysis to identify promising domains of decarbonisation technologies

dc.contributor.authorCosta, P. M.
dc.contributor.authorTomé, P.
dc.contributor.authorAlmeida, B.
dc.contributor.authorBento, N.
dc.contributor.editorP. Solic, S. Nozetic, J. J. P. C. Rodrigues, D. L.-de-I. Gonzalez-de-Artaza, T. Perkovic, L. Catarinucci, and L. Patrono
dc.date.accessioned2023-04-19T07:51:01Z
dc.date.available2023-04-19T07:51:01Z
dc.date.issued2022
dc.date.updated2023-04-19T08:46:50Z
dc.description.abstractThe high volume of research outputs related to technologies and strategies for decarbonisation can make it challenging to understand the relevance of the presented proposals. In this paper, a bibliometric-based analysis is proposed to understand better the domains and subdomains of decarbonisation technologies that have given more attention by the scientific community. The results show that carbon capture technologies, renewable energy sources, electric mobility, green hydrogen, and storage systems are the technology innovations that have received the most attention in the period 2013 to 2021. These results confirm the traditional supply-side orientation of research on technology innovations.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.event.date2022
dc.event.locationSpliteng
dc.event.title7th International Conference on Smart and Sustainable Technologies, SpliTech 2022
dc.event.typeConferênciapt
dc.identifier.citationCosta, P. M., Tomé, P., Almeida, B., & Bento, N. (2022). A bibliometric based analysis to identify promising domains of decarbonisation technologies. Em P. Solic, S. Nozetic, J. J. P. C. Rodrigues, D. L.-de-I. Gonzalez-de-Artaza, T. Perkovic, L. Catarinucci, & L. Patrono (Eds.), 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) (182191). IEEE. https://dx.doi.org/10.23919/SpliTech55088.2022.9854282
dc.identifier.doi10.23919/SpliTech55088.2022.9854282
dc.identifier.isbn978-1-6654-8828-0
dc.identifier.urihttp://hdl.handle.net/10071/28451
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FGES-AMB%2F0934%2F2020/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05583%2F2020/PT
dc.relation.ispartof2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
dc.rightsopen access
dc.subjectDecarbonisationeng
dc.subjectBibliometric analysiseng
dc.subjectData miningeng
dc.subjectEnergy systemeng
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
dc.titleA bibliometric based analysis to identify promising domains of decarbonisation technologieseng
dc.typeconferenceObject
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85138134370
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-92814
iscte.subject.odsEnergias renováveis e acessíveispor
iscte.subject.odsAção climáticapor

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