Assessment of solar energy potential over the United Arab Emirates using remote sensing and weather forecast data

Imen Gherboudj and Hosni Ghedira

Renewable and Sustainable Energy Reviews, 2016, vol. 55, issue C, 1210-1224

Abstract: This research proposes innovative maps to describe the land relative suitability indices for the implementation of solar energy systems (PV and CSP) over the United Arab Emirates. These maps have been developed by combining the solar irradiances maps (global horizontal irradiance and direct normal irradiance) with the effects of the land constraints (land slope, land use and land accessibility to the transportation infrastructure) and weather conditions (airborne dust properties, wind speed, relative humidity, air temperature). Remote sensing, weather forecast models and geospatial information system (GIS) offer excellent tools for estimating and monitoring the aforementioned data at high temporal and spatial resolutions. Indeed, these data have acceptable accuracy to provide a good understanding of the degree of exposure to these data over each location. Our results highlight the potential for using the considered tools to estimate the UAE land capability map, dust/relative-humidity/air-temperature risk map and finally the land relative suitability index for both PV and CSP power plants setting. The obtained results confirm that PV power plants are more appropriate for the UAE context than CSP power plants. In fact, the most suitable areas for PV power plants are located in the eastern side of the country, an area which represents 9.7% of the UAE’s total land area. As for the CSP power plants, their most suitable areas are located on the coast nearby Abu-Dhabi and the extreme south of the UAE, with an area that represents 1%.

Keywords: Renewable energy; Solar irradiance; Weather conditions; Land constraints; Suitability areas (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.rser.2015.03.099

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