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Autores
Orientador(es)
Resumo(s)
Recent global trends have necessitated the reconsiderations of certain anthropogenic
activities. Climate change effects are witnessed across communities of the world now and
again, with increasing negative impacts to the environment and man’s livelihood. With power
generation identified as one of the major drivers of global warming, and countries like Cuba –
although contributing less emissions globally – generating over 80% of power it’s power
demand using fossil fuels, the need for a climate resilient global energy transition is critical
now more than ever. This study investigates the implications of climate change risk and
natural hazards on existing and future energy infrastructure, focusing on urban flooding in
Cuba. By developing a flood risk model and assessing the vulnerability of energy
infrastructure to flooding, while also identifying spatial availability of natural resources (wind
and solar) for supporting future planning on locating renewable energy power generation
infrastructure. Combining Geographic Information Systems and Multi-Criteria Decision
Analysis (MCDA) provides a Decision Support System capable of providing an
understanding on the multi-dimensional factors that contribute to the occurrence of a natural
phenomenon such as urban flooding in this case. Eight factors were considered in this study,
and their contributing weights determined using the Analytical Hierarchy Process (AHP)
method. Results shows that over around 51.5% of the whole Cuban Island is exposed to high
risk of flooding, especially in the central and western regions. Also 90% of the major high
voltage grid network within Cuba exists within areas of very high to high flood vulnerability.
The abundance of solar and wind natural resource was also analysed to define suitable
locations for future power infrastructure based on required natural resource availability. The
findings highlight the importance of integrating climate adaptation measures into energy
planning and provides valuable insights for policymakers and stakeholders in mitigating the
risks associated with urban flooding and climate change impacts on energy infrastructure.
Descrição
Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
Palavras-chave
Flood Risk Assessment Climate Resilience Suitability Analysis Multi Criteria Decision Analysis (MCDA) Analytical Network Process Renewable Energy Power Systems Remote Sensing
