ESTGV - DEE - Artigo em revista científica, indexada ao WoS/Scopus
Permanent URI for this collection
Browse
Browsing ESTGV - DEE - Artigo em revista científica, indexada ao WoS/Scopus by Author "Bento, Nuno"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- Technological Innovations in Decarbonisation Strategies: A Text-Mining Approach to Technological Readiness and PotentialPublication . Costa, Paulo Moisés; Duarte, Antonio; Tomé, Paulo; Bento, Nuno; Fontes, MargaridaThis 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 CO2 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.
- The Impact of Regulation on a Firm's Incentives to Invest in Emergent Smart Grid TechnologiesPublication . Costa, Paulo Moisés; Bento, Nuno; Marques, VítorThis paper analyzes the implementation of new technologies in network industries through the development of a suitable regulatory scheme. The analysis focuses on Smart Grid (SG) technologies which, among others benefits, could save operational costs and reduce the need for further conventional investments in the grid. In spite of the benefits that may result from their implementation, the adoption of SGs by network operators can be hampered by the uncertainties surrounding actual performances. A decision model has been developed to assess the firms' incentives to invest in "smart" technologies under different regulatory schemes. The model also enables testing the impact of uncertainties on the reduction of operational costs, and of conventional investments. Under certain circumstances, it may be justified to support the development and early deployment of emerging innovations that have a high potential to ameliorate the efficiency of the electricity system, but whose adoption faces many uncertainties.