Technological Innovations in Decarbonisation Strategies: A Text-Mining Approach to Technological Readiness and Potential
Paulo Moisés Costa (),
António Duarte,
Paulo Tomé,
Nuno Bento and
Margarida Fontes
Additional contact information
Paulo Moisés Costa: CISeD—Research Centre in Digital Services, Instituto Politécnico de Viseu, 3504-510 Viseu, Portugal
António Duarte: Departamento Engenharia Eletrotécnica, Escola Superior de Tecnologia e Gestão de Viseu, Instituto Politécnico de Viseu, 3504-510 Viseu, Portugal
Paulo Tomé: CISeD—Research Centre in Digital Services, Instituto Politécnico de Viseu, 3504-510 Viseu, Portugal
Nuno Bento: DINÂMIA’CET, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisbon, Portugal
Margarida Fontes: Laboratório Nacional de Energia e Geologia, 1649-038 Lisbon, Portugal
Energies, 2024, vol. 17, issue 24, 1-22
Abstract:
This study presents a novel, multifaceted approach to evaluating decarbonisation technologies by integrating advanced text-mining tools with comprehensive data analysis. The analysis of scientific documents (2011–2021) and mapping 368 technologies from the IEA’s Energy Technology Perspectives identified 41 technology domains, including 20 with the highest relevance and occurrence. Domain readiness was assessed using mean Technology Readiness Levels (TRLs) and linked to six decarbonisation pathways. The “Electrification of uses” pathway ranked highest, demonstrating significant CO 2 mitigation potential and high readiness (mean TRL 7.4, with two-thirds of technologies scoring over 7) despite challenges in hard-to-electrify sectors. The findings provide actionable insights for policymakers, highlighting the need for pathway-specific strategies, a deeper understanding of synergies between pathways, and balancing innovation with deployment to accelerate decarbonisation.
Keywords: decarbonisation; decarbonisation pathways; text mining; technological innovations (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:24:p:6479-:d:1550450
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