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Rooftop photovoltaic potential analysis based on UAV-derived 3D-data and open source software
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Orientador(es)
Resumo(s)
Electric energy is one of the driving forces for economic growth. Energy supply to rural areas is a big challenge for many countries, especially for those with less income and sparse settlements where main grid supply is not feasible. Solar energy is the most abundant, clean and readily available natural energy source. Open source technology and low cost UAV data can be used to assess solar potential on rooftops so that main grid supply will not be required for small settlements. This research aimed to develop procedures and workflows to address this problem. A test site in Muenster WWU (Leonardo campus) was used to test the model because both UAV and highly accurate laser scanning data are readily available. Solar global irradiance data was also available for Germany. After pre-processing of raw UAV images, rooftop extraction model was designed to extract rooftops using RGB images and 3D data. Solar energy calculation model was used to compute the potential for each raster pixel for extracted rooftops. Open Drone Map, Docker and QGIS were all open source software used to run this workflow. This model can be implemented on different regions under some constraints. Accuracy assessment gave insight of the accuracy of this GIS model, so that future improvements can be made.
Descrição
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
Palavras-chave
Electric energy Economic growth Natural resources Rural population Renewable Energy Sources