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Analysing climate change risk and natural hazard for existing and future energy infrastructure: A focus on urban flooding in Cuba

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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.

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

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Flood Risk Assessment Climate Resilience Suitability Analysis Multi Criteria Decision Analysis (MCDA) Analytical Network Process Renewable Energy Power Systems Remote Sensing

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