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Plugin QGIS para Otimização do Traçado e do Investimento para Gasodutos de CO2
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| 7.93 MB | Adobe PDF |
Autores
Resumo(s)
O planeamento de infraestruturas de transporte de dióxido de carbono (𝐶𝑂2) é um
elemento crítico para a implementação eficaz de projetos de captura e armazenamento
de carbono (CCS, do inglês Carbon Capture and Storage), especialmente em contextos
onde essas infraestruturas ainda não existem. Este projeto aborda o problema do planeamento
ótimo de gasodutos de 𝐶𝑂2 em Portugal Continental, integrando critérios
técnicos, económicos e territoriais através de sistemas de informação geográfica (GIS,
do inglês Geographic Information Systems).
A abordagem proposta baseia-se na construção de superfícies de custo espaciais, representadas
em formato raster, resultantes da combinação ponderada de múltiplos fatores
espaciais, nomeadamente ocupação do solo, declive do terreno, cruzamentos com infraestruturas
existentes e reutilização de corredores energéticos. Com base nessas superfícies,
aplica-se o algoritmo least cost path (LCP) para determinar traçados ótimos
entre fontes emissoras e potenciais locais de armazenamento. Complementarmente,
é integrada uma componente de estimativa económica que permite calcular o investimento
inicial de capital (CAPEX) dos gasodutos, tendo em conta parâmetros físicos e
operacionais, seguindo o modelo COMET.
A metodologia foi implementada numa plataforma digital sob a forma de um plugin
para QGIS, permitindo uma utilização interativa e flexível por diferentes stakeholders.
Os resultados obtidos em vários cenários nacionais demonstram a capacidade da solução
em gerar traçados tecnicamente viáveis, sensíveis às condicionantes territoriais e
com estimativas económicas consistentes. O trabalho contribui assim para o apoio ao
planeamento estratégico de redes de transporte de 𝐶𝑂2 em fases preliminares, constituindo
uma ferramenta relevante para o desenvolvimento futuro da captura e armazenamento
de carbono (CCS) em Portugal.
The planning of carbon dioxide (𝐶𝑂2) transport infrastructure is a critical component for the effective deployment of carbon capture and storage (CCS) projects, particularly in regions where such infrastructure is still at an early stage. This dissertation addresses the problem of optimal 𝐶𝑂2 pipeline routing in mainland Portugal by integrating technical, economic, and territorial criteria through geographic information systems (GIS). The proposed approach is based on the construction of raster cost surfaces derived from the weighted combination of multiple spatial factors, including land use, terrain slope, crossings with existing infrastructures, and the reuse of established energy corridors. Based on these cost surfaces, the LCP algorithm is applied to determine optimal pipeline routes between emission sources and potential storage sites. In addition, an economic estimation component is integrated to calculate the initial capital investment (CAPEX), considering physical and operational parameters in accordance with the COMET model. The methodology was implemented as a digital platform in the form of a QGIS plugin, enabling interactive use and scenario analysis by different stakeholders. The results obtained for several national case studies demonstrate the platform’s ability to generate technically feasible routes that reflect territorial constraints and provide consistent economic estimates. Overall, this work contributes to supporting early-stage strategic planning of 𝐶𝑂2 transport networks and represents a practical decision-support tool for the future development of CCS infrastructure in Portugal.
The planning of carbon dioxide (𝐶𝑂2) transport infrastructure is a critical component for the effective deployment of carbon capture and storage (CCS) projects, particularly in regions where such infrastructure is still at an early stage. This dissertation addresses the problem of optimal 𝐶𝑂2 pipeline routing in mainland Portugal by integrating technical, economic, and territorial criteria through geographic information systems (GIS). The proposed approach is based on the construction of raster cost surfaces derived from the weighted combination of multiple spatial factors, including land use, terrain slope, crossings with existing infrastructures, and the reuse of established energy corridors. Based on these cost surfaces, the LCP algorithm is applied to determine optimal pipeline routes between emission sources and potential storage sites. In addition, an economic estimation component is integrated to calculate the initial capital investment (CAPEX), considering physical and operational parameters in accordance with the COMET model. The methodology was implemented as a digital platform in the form of a QGIS plugin, enabling interactive use and scenario analysis by different stakeholders. The results obtained for several national case studies demonstrate the platform’s ability to generate technically feasible routes that reflect territorial constraints and provide consistent economic estimates. Overall, this work contributes to supporting early-stage strategic planning of 𝐶𝑂2 transport networks and represents a practical decision-support tool for the future development of CCS infrastructure in Portugal.
Descrição
Palavras-chave
Planeamento de gasodutos Sistemas de informação Geográfica Least cost path Análise multicritério Transporte de 𝐶𝑂2