Spatial Suitability Analysis for Identification of Best Sites for Collecting Photovoltaic Energy in the Kingdom of Saudi Arabia using Boolean Model
DOI:
https://doi.org/10.35516/hum.v49i4.2042Keywords:
Geographic information systems, spatial suitability analysis, solar energy, boolean models, Saudi ArabiaAbstract
Solar energy is one of the renewable energy sources that can be tapped and is an inexhaustible source. The aim of study to identify suitable locations for collecting photovoltaic energy in the Kingdom of Saudi Arabia base on Boolean models. The study used several data sources from official authorities and open-source websites which divided to three criteria: topographic, climatic, and economic. The data are Photovoltaic energy, temperature, slope, sand dune locations, distance from major cities, road network, and power network. The results showed that the amount of Photovoltaic energy is suitable in Saudi Arabia, but the levels of the amount are difference from area to another. The topographical criteria had a negative impact, especially with sand dune areas and slope degree on the western and middle regions of Saudi Arabia. Moreover, the economic factor had a negative impact on the northern and southern regions of Saudi Arabia, because the density of the road network and the power network. In addition, the result showed the total area suitable of Photovoltaic energy about (285,560 km²), and the best areas are: Hail, Makkah, Madinah, Al Jawf, Tabuk, Riyadh, Qassim and Asir regions, with a total area around (202,534 km²). Finally, the study found that the northern regions of Saudi Arabia are considered promising areas in generating solar energy, but needs to increase the road network and power lines network.
Downloads
References
Al Garni, H. Z. & Awasthi, A. (2017). Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Applied energy, 206, 1225-1240.
Ali, S., Taweekun, J., Techato, K., Waewsak, J. & Gyawali, S. (2019). GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand. Renewable Energy, 132, 1360-1372.
Charabi, Y. & Gastli, A. (2011). PV site suitability analysis using GIS-based spatial fuzzy multi-criteria evaluation. Renewable Energy, 36(9), 2554-2561.
Deo, R. C. & Şahin, M. (2017). Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland. Renewable and Sustainable Energy Reviews, 72, 828-848.
Firozjaei, M. K., Nematollahi, O., Mijani, N., Shorabeh, S. N., Firozjaei, H. K. & Toomanian, A. (2019). An integrated GIS-based Ordered Weighted Averaging analysis for solar energy evaluation in Iran: Current conditions and future planning. Renewable Energy, 136, 1130-1146.
Gherboudj, I. & Ghedira, H. (2016). Assessment of solar energy potential over the United Arab Emirates using remote sensing and weather forecast data. Renewable and Sustainable Energy Reviews, 55, 1210-1224.
Hazaymeh, K., Zeitoun, M., Al-Rawabdeh, A. & Al-Sababhah, N. (2018). A Regional Scale Photovoltaic Site Selection Based On Geospatial Techniques. Jordan Journal of Earth and Environmental Sciences, 9(1).
Merrouni, A. A., Mezrhab, A. & Mezrhab, A. (2016). PV sites suitability analysis in the Eastern region of Morocco. Sustainable Energy Technologies and Assessments, 18, 6-15.
Montoya, F. G., Aguilera, M. J. & Manzano-Agugliaro, F. (2014). Renewable energy production in Spain: A review. Renewable and Sustainable Energy Reviews, 33, 509-531.
Nguyen, H. T. & Pearce, J. M. (2010). Estimating potential photovoltaic yield with r. sun and the open source geographical resources analysis support system. Solar energy, 84(5), 831-843.
Ohser, J., Nagel, W. & Schladitz, K. (2009). Miles formulae for Boolean models observed on lattices. Image Analysis & Stereology, 28(2), 77-92.
Watson, J. J. & Hudson, M. D. (2015). Regional Scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation. Landscape and Urban Planning, 138, 20-31
Zell, E., Gasim, S., Wilcox, S., Katamoura, S., Stoffel, T., Shibli, H. & Al Subie, M. (2015). Assessment of solar radiation resources in Saudi Arabia. Solar Energy, 119, 422-438.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Dirasat: Human and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


