Logo do repositório

Integração de Sistemas de Energia - ISE

URI permanente desta comunidade:

http://hdl.handle.net/10400.9/291

Navegar

Percorrer Integração de Sistemas de Energia - ISE por Objetivos de Desenvolvimento Sustentável (ODS) "09:Indústria, Inovação e Infraestruturas"

A mostrar 1 - 2 de 2
  • Intersectoral knowledge spaces of emerging technologies and innovation opportunities for established industrial sectors
    Publication . Sousa, Cristina; Fontes, Margarida; Barbosa, Juliana Pacheco
    ABSTRACT: The paper investigates how the emergence of new sustainable technologies can induce innovation and change in the industrial sectors that contribute competences and resources to their development. For this, it develops and tests a framework to address knowledge recombination processes at the intersection of diverse sectoral knowledge bases. The paper maps the intersectoral knowledge space formed as part of the emergence of a new sustainable technology, marine renewable energy, and proposes that the position of a sector in that space – in terms of variety of connections and (un)relatedness between the connected sectors – is associated with differentiated opportunities for innovation and engagement in diversification into a new business. This research contributes to the literature on the industrial transformative effects of new technologies by uncovering some of the processes through which intersectoral knowledge relationships generate opportunities for knowledge (re)combination and innovation in firms from existing sectors. The results can inform policies that aim to combine sustainability and industrial development goals.
    2026-06Artigo científico Acesso aberto Ver mais
  • Pre-Solve Methodologies for Short-Run Identification of Critical Sectors in the ACSR Overhead Lines While Using Dynamic Line Rating Models for Resource Sustainability
    Publication . Algarvio, Hugo
    ABSTRACT: Most transmission system operators (TSOs) use seasonally static models considering extreme weather conditions, serving as a reference for computing the transmission capacity of power lines. The use of dynamic line rating (DLR) models can avoid the construction of new lines, market splitting, false congestions and the degradation of lines in a cost-effective way. The operation of power systems is planned based on market results, which consider transactions hours ahead of real-time operation using forecasts with errors. The same is true for the DLR. So, during real-time operation TSOs should rapidly compute the DLR of overhead lines to avoid considering an ampacity above their lines' design, reflecting the real-time weather conditions. Considering that the DLR of the lines can affect the power flow of an entire region, the use of the complete indirect DLR methodology has a high computation burden for all sectors and lines in a region. So, this article presents and tests three pre-solve methodologies able to rapidly identify the critical sector of each line. These methodologies solve the problem of the high computation burden of the CIGR & Eacute; thermodynamic model of overhead lines. They have been tested by using real data of the transmission grid and the weather conditions for two different regions in Portugal, leading to errors in the computation of the DLR lower than 1% in relation to the complete CIGR & Eacute; model, identifying the critical sector in significantly less time.
    2025-04Artigo científico Acesso aberto Ver mais