Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/28451
Author(s): Costa, P. M.
Tomé, P.
Almeida, B.
Bento, N.
Editor: P. Solic, S. Nozetic, J. J. P. C. Rodrigues, D. L.-de-I. Gonzalez-de-Artaza, T. Perkovic, L. Catarinucci, and L. Patrono
Date: 2022
Title: A bibliometric based analysis to identify promising domains of decarbonisation technologies
Book title/volume: 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
Event title: 7th International Conference on Smart and Sustainable Technologies, SpliTech 2022
Reference: Costa, 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
ISBN: 978-1-6654-8828-0
DOI (Digital Object Identifier): 10.23919/SpliTech55088.2022.9854282
Keywords: Decarbonisation
Bibliometric analysis
Data mining
Energy system
Abstract: The 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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:DINÂMIA'CET-CRI - Comunicações a conferências internacionais

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