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Geospatial Analysis of Solar Energy in Riyadh Using a GIS-AHP-Based Technique

Bibliographic Data

ID22032329
AuthorsLamya Albraheem (0000-0001-7772-4902, King Saud University, corresponding author), Leena Alabdulkarim (King Saud University)
Year2021
Volume10
Issue5
Pages291
Publication date2021-05-03
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10050291
OpenAlexW3159013502
LanguageEN
Citations received6
References cited23

In recent years, spatial multi-criteria decision analysis (MCDA) has been applied to different types of spatial problems, such as solar power site suitability. MCDA can be used to support the process of identifying suitable regions for solar energy projects. To the best of our knowledge, no study has addressed the problem of site evaluation for solar photovoltaic PV systems in the Riyadh region. Therefore, a spatial MCDA framework is proposed to perform a geospatial analysis of solar energy in the Riyadh region, which includes data collection, spatial analysis, a spatial decision support system and visualization. The methodology that was used to solve the site suitability problem is described. It involved the combination of a Geographical Information System (GIS) and the Analytic Hierarchy Process (GIS-AHP). The results show that the most suitable sites are in the north and northwest of the Riyadh region, with an area that represents 16,748 Km2 with an 80% suitability degree. In addition, it was proven that Afif is the largest suitable city. It has high solar radiation, at an average of 2.631687 MWh/m2/year, and low temperatures, at an average of 26.3 °C, as well as having flat areas with a slope under 5°. The results were validated using a sensitivity analysis model and also compared with those for ground-based stations

Analytic hierarchy process · Data mining · Decision support system · Geographic information system · Geography · Geospatial analysis · Multiple-criteria decision analysis · Operations research · Photovoltaic system · Remote sensing · Site selection · Solar energy · Spatial analysis · Computer Science · Energy and Environment Impacts · Engineering · Environmental Science · Multi-Criteria Decision Making · Solar Radiation and Photovoltaics

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Citations per year1.2
Citation span2021 - 2026 (6)
Highly citedNo

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