全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Applying Geographic Information System (GIS) for Solar Power Plants Site Selection Support in Makkah

DOI: 10.4236/ti.2022.132003, PP. 37-58

Keywords: GIS, DSS, Multiple Criteria, Special Analytics, Solar Energy

Full-Text   Cite this paper   Add to My Lib

Abstract:

Solar energy is one of the most important components of renewable energy, which constitutes an important source of clean energy in many fields, especially water desalination and electricity generation. With the increase in electricity consumption in the Kingdom of Saudi Arabia at an annual rate of 5%, the National Initiative for the production of water and electricity was launched. The current study aims to apply a multi-standard GIS method to determine the most appropriate spatial sites for solar energy collection in the Makkah Administrative District. A set of conditions and criteria have been relied upon, whether planning criteria, environmental criteria, or an environmental criterion, to obtain a digital appropriate model that shows the best sites for constructing solar power plants. The study determined the required criteria by relying on literary studies and creating a digital geographic database for these requirements, and then integrating these requirements into an integrated geographic information system in order to obtain a spatial fit model. The results of the suitability indicate that all areas of Makkah Al-Mukarramah are suitable for the solar energy project with an appropriate percentage ranging between 30% and 80%. These results are promising for the renewable energy sector in Makkah Al-Mukarramah and should be taken into consideration. By analyzing these spatial sites and their degrees of suitability to standards, it was found that the lands that are characterized by an adequate share of more than 80% have an area of about 4000 square kilometers with a percentage of 3% of the total suitable lands. These highly suitable areas are concentrated on the governorates of the Makkah Al-Mukarramah Administrative Region, where the Taif governorate comes in the first place with 35% of the total area, followed by the two governorates of Turbah with 24%, and the Rania governorate with 14%. A digital map was made showing the spatial distribution of suitable lands for solar energy projects in the Makkah Al-Mukarramah Administrative Region. The study recommended applying the obtained results in the national plan for renewable energy sources in the Kingdom of Saudi Arabia.

References

[1]  Al-Rasheed, K. (2021). Geographical Distribution of Solar Radiation Cell Systems and Their Investments in the Southern Foothills of the Dohuk Governorate. Ph.D. Thesis, University of Mosul.
[2]  Arnette, A. N., & Zobel, C. W. (2011). Spatial Analysis of Renewable Energy Potential in the Greater Southern Appalachian Mountains. Renewable Energy, 36, 2785-2798.
https://doi.org/10.1016/j.renene.2011.04.024
[3]  Asakereh, A., Omid, M., Alimardani, R., & Sarmadian, F. (2014). Developing a GIS-Based Fuzzy AHP Model for Selecting Solar Energy Sites in Shodirwan Region in Iran. International Journal of Advanced Science and Technology, 68, 37-48.
https://doi.org/10.14257/ijast.2014.68.04
[4]  Bhutto, A. W., Bazmi, A. A., Zahedi, G., & Klemes, J. J. (2014). A Review of Progress in Renewable Energy Implementation in the Gulf Cooperation Council Countries. Journal of Cleaner Production, 71, 168-180.
https://doi.org/10.1016/j.jclepro.2013.12.073
[5]  Chamber, A. (2010). Renewable Energy Sources that Can Be Exploited and the Advantages of This Type of Energy.
[6]  Choudhary, D., & Shankar, R. (2012). A STEEP-Fuzzy AHP-TOPSIS Framework for Evaluation and Selection of Thermal Power Plant Location: A Case Study from India. Energy, 42, 510-521.
https://doi.org/10.1016/j.energy.2012.03.010
[7]  Darwish, A., & Shaaban, S. (2016). Solar and Wind Energy: Present and Future Energy Prospects in the Middle East and North Africa. In A. Sayigh (Ed.), Renewable Energy in the Service of Mankind Volume II (pp. 173-184). Springer.
https://doi.org/10.1007/978-3-319-18215-5_15
[8]  Forman, E. H., & Selly, M. A. (2001). Decision by Objectives: How to Convince Others that You Are Right. World Scientific.
https://doi.org/10.1142/4281
[9]  Freitas, S., Catita, C., Redweik, P., & Brito, M. C. (2015). Modelling Solar Potential in the Urban Environment: State of the Art Review. Renewable and Sustainable Energy Reviews, 41, 915-931.
https://doi.org/10.1016/j.rser.2014.08.060
[10]  Hepbasli, A., & Alsuhaibani, Z. (2011). A Key Review on Present Status and Future Directions of Solar Energy Studies and Applications in Saudi Arabia. Renewable and Sustainable Energy Reviews, 15, 5021-5050.
https://www.sciencedirect.com/science/article/abs/pii/S1364032111002930
[11]  Herrmann, J. W. (2015). Engineering Decision Making and Risk Management. John Wiley & Sons Publishing Company.
[12]  Liu, J. C., Xu, F. Q., & Lin, S. S. (2017). Site Selection of Photovoltaic Power Plants in a Value Chain Based on Grey Cumulative Prospect Theory for Sustainability: A Case Study in Northwest China. Journal of Cleaner Production, 148, 386-397.
https://doi.org/10.1016/j.jclepro.2017.02.012
[13]  Ministry of Water and Electricity, Water Desalination and Electricity Generation (2010). Report on the Statistic of the Expansion of Electricity Production from Solar Energy.
[14]  Muhammad, J., Al-Ghamdi, K., & Mandour, M. (2017). Study Titled Determining the Best Sites for Collecting Solar Energy in the Makkah Al-Mukarramah Administrative Region.
https://www.mediafire.com/folder/bdxg32s3dp1mg/Gomaa_Dawod_Papers?fbclid=IwAR
20O2j2622MTmtXQkOO90sy-JTpvY7jAmgc9LNb0A9GposhCSBSXiPRN7M
[15]  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, 831-843.
https://doi.org/10.1016/j.solener.2010.02.009
[16]  Nizami et al. (2015). Statistics on the Main Source of Electricity Generation and the Production of Desalinated Water in the Kingdom at the Present Time.
[17]  Ruiz, H. S., Sunarso, A., Ibrahim-Bathis, K. et al. (2020). GIS-AHP Multi Criteria Decision Analysis for the Optimal Location of Solar Energy Plants at Indonesia. Energy Reports, 6, 3249-3263.
https://doi.org/10.1016/j.egyr.2020.11.198
[18]  Saaty, R. W. (1980). The Analytic Hierarchy Process—What It Is and How It Is Used. Mathematical Modeling, 9, 161-176.
https://doi.org/10.1016/0270-0255(87)90473-8
[19]  Sánchez-Lozano, J. M., Antunes, C. H., García-Cascales, M. S., & Dias, L. C. (2013). GIS-Based Photovoltaic Solar Farms Site Selection Using ELECTRE-TRI: Evaluating the Case for Torre Pacheco Murcia, Southeast of Spain. Renewable Energy, 66, 478-494.
https://doi.org/10.1016/j.renene.2013.12.038
[20]  Wakeyama, T., & Ehara, S. (2010). Renewable Energy Potential Evaluation and Analysis for Use by Using GIS: A Case Study of Northern-Tohoku Area and Tokyo Metropolis, Japan. International Journal of Environmental Science and Development, 1, 446-453.
https://doi.org/10.7763/IJESD.2010.V1.86

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133