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Gis solution for energy & utilities
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São cada vez mais evidentes os desafios que as empresas do setor energético enfrentam atualmente. Se por um lado a procura tende a aumentar, por outro são impostas normas e regulações relativamente às atividades de produção, transporte, distribuição, e comercialização. Neste contexto surgem as smart grids como um novo fator disruptivo, associadas ao conceito de redes inteligentes, que prometem revolucionar a forma como usamos a energia, passando as empresas de Energy & Utitlies a ter disponíveis novos volumes de informação outrora inacessíveis. Estas passam, então, a ter necessidade de investigar novas técnicas inovadoras e diferenciadoras de modo a ser possível conceber ferramentas capazes de transformar os dados recolhidos em conhecimento útil. A informação acerca da localização sempre se revelou uma mais-valia no setor energético, particularmente na gestão de ativos e no planeamento de infraestruturas. No entanto, com a smart grid, a informação geográfica ganha um novo relevo, uma vez que todos os dados gerados pela rede possuem uma componente espacial. A possibilidade de relacionar geograficamente objetos que, aparentemente, não teriam qualquer ligação permite não só uma melhor compreensão da rede como um todo, mas também a deteção de tendências e padrões que se revelam fundamentais quando se pretende uma análise mais granular. Nesta perspetiva, os Sistemas de Informação Geográfica (SIG) apresentam-se como uma ferramenta poderosa na gestão da informação, já que constituem uma interface comum para visualização de diversas camadas de abstração que podem ter diferentes graus de importância, consoante o objetivo do utilizador num dado momento. O trabalho descrito neste relatório contribui para o desenvolvimento de uma solução georreferenciada para o setor de Energy & Utilities. Esta apresenta um conjunto de características e funcionalidades que a tornam numa poderosa ferramenta analítica, capaz de dar resposta aos complexos desafios apresentados atualmente às empresas deste setor.
The challenges that energy companies face nowadays are increasingly evident. While demand tends to increase, more rules and regulations are being imposed regarding the activities of production, transport, distribution, and commercialization. Smart grids arise in this context as a new disruptive factor, bringing the concept of intelligent electrical networks, which promise to revolutionize the way we use energy. Thus, Energy & Utility companies will have new volumes of information at their disposal that were once inaccessible. Inevitably, these companies will need to research new innovative and differentiating techniques that allow them to design tools that can transform the collected data into useful knowledge. Information about location has always proved to be a surplus value in the energy sector, particularly in asset management and infrastructure planning. However, with the smart grid, geographic information takes on a new prominence, since all the data generated by the network has a spatial component. The ability to geographically relate objects which apparently would have no connection between them, allows not only a greater understanding of the network as a whole, but also the detection of trends and patterns that are revealed fundamental when a more granular analysis is intended. In this perspective, Geographic Information Systems (GIS) are presented as a powerful tool in managing information, as it constitutes a common interface for viewing multiple layers of abstraction that may have different degrees of importance, depending on the purpose of the user at a given time. The work described in this report contributes to the development of a georeferenced solution to the Energy & Utilities sector. This solution presents a set of features and functionalities that make it a powerful analytical tool, able to respond to the complex challenges currently presented to the companies in this sector.
The challenges that energy companies face nowadays are increasingly evident. While demand tends to increase, more rules and regulations are being imposed regarding the activities of production, transport, distribution, and commercialization. Smart grids arise in this context as a new disruptive factor, bringing the concept of intelligent electrical networks, which promise to revolutionize the way we use energy. Thus, Energy & Utility companies will have new volumes of information at their disposal that were once inaccessible. Inevitably, these companies will need to research new innovative and differentiating techniques that allow them to design tools that can transform the collected data into useful knowledge. Information about location has always proved to be a surplus value in the energy sector, particularly in asset management and infrastructure planning. However, with the smart grid, geographic information takes on a new prominence, since all the data generated by the network has a spatial component. The ability to geographically relate objects which apparently would have no connection between them, allows not only a greater understanding of the network as a whole, but also the detection of trends and patterns that are revealed fundamental when a more granular analysis is intended. In this perspective, Geographic Information Systems (GIS) are presented as a powerful tool in managing information, as it constitutes a common interface for viewing multiple layers of abstraction that may have different degrees of importance, depending on the purpose of the user at a given time. The work described in this report contributes to the development of a georeferenced solution to the Energy & Utilities sector. This solution presents a set of features and functionalities that make it a powerful analytical tool, able to respond to the complex challenges currently presented to the companies in this sector.
Descrição
Trabalho de projecto de mestrado, Engenharia Informática (Engenharia de Software), Universidade de Lisboa, Faculdade de Ciências, 2015
Palavras-chave
Sistemas de informação geográfica Business intelligence Energia Smart grid Trabalhos de projecto de mestrado - 2015