Author
Listed:
- Paulo Moisés Costa
(CISeD—Research Centre in Digital Services, Instituto Politécnico de Viseu, 3504-510 Viseu, Portugal
Departamento Engenharia Eletrotécnica, Escola Superior de Tecnologia e Gestão de Viseu, 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
Departamento Engenharia Informática, Escola Superior de Tecnologia e Gestão de Viseu, 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)
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.
Suggested Citation
Paulo Moisés Costa & António Duarte & Paulo Tomé & Nuno Bento & Margarida Fontes, 2024.
"Technological Innovations in Decarbonisation Strategies: A Text-Mining Approach to Technological Readiness and Potential,"
Energies, MDPI, vol. 17(24), pages 1-22, December.
Handle:
RePEc:gam:jeners:v:17:y:2024:i:24:p:6479-:d:1550450
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