Geospatial Analysis of Photovoltaic Plants Potential in Palestine Using a GIS-AHP-Based Technique

Amer Hisham Braik, Kammaruzzaman Sopian, Hasila Jarimi, Ahmad Fazlizan, Adnan Ibrahim, Ag Sufiyan Abd Hamid

Abstract


Geographical multi-criteria decision analysis (MCDA) has been applied to various spatial challenges in recent years, including solar energy site appropriateness.  MCDA may be used to aid in selecting potential solar energy project locations.  The study on the solar photovoltaic PV system site appraisal in Palestine is new; therefore, a geographical MCDA framework is provided for conducting a geospatial analysis of solar energy in Nablus, Palestine.  This framework comprises data collection, spatial analysis, a spatial decision support system, and visualization.  The process for resolving the site appropriateness issue is discussed.  It utilized a Geographical Information System (GIS) in conjunction with the Analytic Hierarchy Process (GIS-AHP).  The results indicate that the ideal areas are north and northwest of Nablus. The PV plants in this location can achieve more than 1700 kWh/kWp/year as electricity production, cool temperatures, averaging 22°C, and flatlands with a slope of less than 5.  These lands can be obtained from all engineers and designers to install the highest efficient electricity generation plant using Solar Energy in Nablus, Palestine. 

Keywords


PV Solar Plants; GIS; AHP; Palestine

Full Text:

PDF

References


World Bank (2007). West Bank and Gaza energy sector review. [Online] Available at: http://hdl.handle.net/10986/19226 [Accessed 3 Feb. 2021].

Barsoum, A. (2019). West Bank and Gaza - Energy. [Online] www.trade.gov. Available at: https://www.trade.gov/knowledge-product/west-bank-energy [Accessed 4 Feb. 2021].

Ajlouni, E., & Alsamamra, H. (2019). A review of solar energy prospects in Palestine. American Journal of Modern Energy, 5(3), 49-62.

Hamada, S., & Ghodieh, A. (2021). Mapping of solar energy potential in the west bank, Palestine using Geographic Information Systems. Papers in Applied Geography, 1-14.

A. Ibrahim, M. Y. Othman, M. H. Ruslan, S. Mat, A. Zaharim and K. Sopian (2011). A Pilot Study of the Building Integrated Photovoltaic Thermal (BIPVT) Collector for Commercial Applications in Malaysia.

Kocabaldir, C., & Yücel, M. A. (2020). GIS-based multi-criteria decision analysis of site selection for photovoltaic power plants in Çanakkale Province. International Journal of Environment and Geoinformatics, 7(3), 347-355.

Sedrati, M., Maanan, M., & Rhinane, H. (2019). PV power plants sites selection using GIS-FAHP based approach in North-Western Morocco. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 42, 385-392.

Settou, B., Settou, N., Gouareh, A., Negrou, B., Mokhtara, C., & Messaoudi, D. (2020). A high-resolution geographic information system-analytical hierarchy process-based method for solar PV power plant site selection: a case study Algeria. Clean Technologies and Environmental Policy, 1-16.

Wigati, S. S., Sopha, B. M., Asih, A. M. S., & Sutanta, H. (2019). Bibliometric analysis for site selection problems using geographic information systems, multi-criteria decision analysis and fuzzy method. In Journal of Physics: Conference Series (Vol. 1351, No. 1, p. 012051). IOP Publishing.

Effat, H. A., & El-Zeiny, A. (2017). Modeling potential zones for solar energy in Fayoum, Egypt, using satellite and spatial data. Modeling Earth Systems and Environment, 3(4), 1529-1542.

Wang, T. C., & Tsai, S. Y. (2018). Solar panel supplier selection for the photovoltaic system design by using fuzzy multi-criteria decision making (MCDM) approaches. Energies, 11(8), 1989.

Guaita-Pradas, I., Marques-Perez, I., Gallego, A., & Segura, B. (2019). Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases. Environmental monitoring and assessment, 191(12), 1-17.

Nebey, A. H., Taye, B. Z., & Workineh, T. G. (2020). Site Suitability Analysis of Solar PV Power Generation in South Gondar, Amhara Region. Journal of Energy, 2020.

Saliho?lu, T., Seyrek, E. C., & Kaymakçio?lu, M.(2020). Alternatives to solar power plant location through GIS and AHP: Case of Karaman, Turkey. Kent Akademisi, 13(4), 651-667.

Badang, D. A. Q., Sarip, C. F., & Tahud, A. P. (2018). Geographic information system (GIS) and multi-criteria decision making (MCDM) for optimal selection of hydropower location in Rogongon, Iligan City. In 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (pp. 1-5). IEEE.

Ammar, H., Boukebbous, S. E., & Benbaha, N. (2018). Photovoltaic water pumping system site suitability analysis using AHP GIS method in Southern Algeria. In 2018 4th International Conference on Renewable Energies for Developing Countries (REDEC) (pp. 1-5). IEEE.

Khemiri, W., Yaagoubi, R. and Miky, Y. (2018). Optimal placement of solar photovoltaic farms using analytical hierarchical process and geographic information system in Mekkah, Saudi Arabia.

Iqbal, S., Ali, S. M., Islam, A., Zaidi, S. N. F., & Ali, I. (2020). Alternate energy source selection in Gilgit Baltistan Pakistan using geographical information system and analytical hierarchy process. International Journal of Energy and Water Resources, 4, 257-270.

Erdin, C., & Akba?, H. E. (2019). A comparative analysis of fuzzy topsis and geographic information systems (gis) for the location selection of shopping malls: A case study from turkey. Sustainability, 11(14), 3837

Ayodele, T. R., Ogunjuyigbe, A. S. O., Odigie, O., & Munda, J. L. (2018). A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria. Applied Energy, 228, 1853-1869.

Geomolg [Online] Available at: https://geomolg.ps/L5/index.html?viewer=A3.V1 [Accessed 3 Feb.2021]

Al Garni, HZ and Awasthi, A. (2017). Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia. Applied Energy, [online] 206, pp.1225–1240. Available at: https://www.sciencedirect.com/science/article/abs/pii/S030626191731437X [Accessed 25 Nov. 2019].

Doorga, J. R., Rughooputh, S. D., & Boojhawon, R. (2019). Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius. Renewable energy, 133, 1201-1219.

Guler, D., & Yomralioglu, T. (2018). Optimal location selection for electric vehicle charging stations using GIS. In 7th International Conference on Cartography and GIS (pp. 340-345).

Al Garni, H. Z., & Awasthi, A. (2017b). A fuzzy AHP and GIS-based approach to prioritize utility-scale solar PV sites in Saudi Arabia. In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1244-1249). IEEE.

Al Garni, H. Z., & Awasthi, A. (2018). Solar PV power plants site selection: A review. Advances in Renewable Energies and Power Technologies, 57-75.

Habib, S. M., Suliman, A. E. R. E., Al Nahry, A. H., & Abd El Rahman, E. N. (2020). Spatial modeling for the optimum site selection of solar photovoltaics power plant in the northwest coast of Egypt. Remote Sensing Applications: Society and Environment, 18, 100313.

Koc, A., Turk, S., & ?ahin, G. (2019). Multi-criteria of wind-solar site selection problem using a GIS-AHP-based approach with an application in Igdir Province/Turkey. Environmental Science and Pollution Research, 26(31), 32298-32310.

Díaz-Cuevas, P., Camarillo-Naranjo, J. M., & Pérez-Alcántara, J. P. (2018). Relational spatial database and multi-criteria decision methods for selecting optimum locations for photovoltaic power plants in the province of Seville (southern Spain). Clean Technologies and Environmental Policy, 20(8), 1889-1902.

Anser, M. K., Mohsin, M., Abbas, Q., & Chaudhry, I. S. (2020). Assessing the integration of solar power projects: SWOT-based AHP–F-TOPSIS case study of Turkey. Environmental Science and Pollution Research, 27(25), 31737-31749.

Ronak, D., Adnan, I., Goh Li, J., Mohd, H., Sopian, K. (2011). Predicting the performance of amorphous and crystalline silicon based photovoltaic solar thermal collectors. Energy Conversion and Management, Volume 52, Issue 3, 2011,Pages 1741-1747.

Marques-Perez, I., Guaita-Pradas, I., Gallego, A., & Segura, B. (2020). Territorial planning for photovoltaic power plants using an outranking approach and GIS. Journal of Cleaner Production, 257, 120602.

Yousefi, H., Hafeznia, H., & Yousefi-Sahzabi, A. (2018). Spatial site selection for solar power plants using a gis-based boolean-fuzzy logic model: A case study of Markazi Province, Iran. Energies, 11(7), 1648.

Tunc, A., Tuncay, G., Alacakanat, Z., & Sevimli, F. S. (2019). GIS based solar power plants site selection using Analytic Hierarchy Process (Ahp) In Istanbul, Turkey. International Archives Of The Photogrammetry, Remote Sensing & Spatial Information Sciences.

Kereush, D., & Perovych, I. (2017). Determining criteria for optimal site selection for solar power plants. Geomatics, Landmanagement and Landscape.

Tarife, R. P., Nakanishi, Y., Bondaug, J. V. S., Irosido, R. V., Tahud, A. P., & Estoperez, N. R. (2020). Optimization of Electric Transmission Line Routing for a Renewable Energy Based Micro-Grid System using Geographic Information System (GIS) Spatial Analysis. In 2020 9th International Conference on Renewable Energy Research and Application (ICRERA) (pp. 215-220). IEEE.

Azmi, R., Amar, H., & Kacimi, I. (2017). Photovoltaic site suitability analysis using analytical hierarchy process and sensitivity analysis methods with GIS and remote sensing in Southern Morocco: case of Draa-Tafilatet Region. In 2017 International Renewable and Sustainable Energy Conference (IRSEC) (pp. 1-5). IEEE.

Simón-Martín, D., Diez-Suárez, A. M., Álvarez-de Prado, L., González-Martínez, A., la Puente-Gil, D., & Blanes-Peiró, J. (2017). Development of a GIS tool for high precision pv degradation monitoring and supervision: Feasibility analysis in large and small PV plants. Sustainability, 9(6), 965.

Suuronen, A., Lensu, A., Kuitunen, M., Andrade-Alvear, R., Celis, N. G., Miranda, M., ... & Kukkonen, J. V. (2017). Optimization of photovoltaic solar power plant locations in northern Chile. Environmental Earth Sciences, 76(24), 1-14.




DOI (PDF): https://doi.org/10.20508/ijrer.v12i1.12773.g8421

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2025; 

h=35,

Average citation per item=6.59

Last three Years Impact Factor=(1947+1753+1586)/(146+201+78)=5286/425=12.43

Category Quartile:Q4