GIS-Based Multi-Criteria Decision Analysis of Site Selection for Photovoltaic Power Plants in Çanakkale Province

Year 2020, Volume: 7 Issue: 3, 347 - 355, 06.12.2020

Canan Kocabaldır , Mehmet Ali Yücel

https://doi.org/10.30897/ijegeo.689570

Cited By: 16

Abstract

Energy demand is gradually increasing due to rapid population growth. Using fossil fuels for energy production destroys the environment and fossil energy-based reserves are expected to be depleted in the future. Renewable energy sources are needed to minimize environmental impacts. Solar energy is among the most researched and invested renewable energy sources. There is diversity in renewable energy sources in Çanakkale province but it is not sufficient when the potential is considered. Other renewable power plants except the wind should also be increased among the newly planned plants. Carrying out a comprehensive solar power plant analysis is the first step to provide a cost-effective and well-performing project, and so choosing a suitable location is a critical point towards developing solar energy projects. Knowing potential sites is a fundamental point for annual power plant production forecasting and financial feasibility. With the integration of Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA); a more reliable analysis is carried out, the most suitable places can be determined by considering various criteria. Within this study, using spatial analysis, it is aimed to determine areas where photovoltaic (PV) solar power plant can be established in Çanakkale province by GIS-MCDA and how much of energy demand can be supplied in case of installation. Criteria and restriction factors to be used were determined by scanning the literature in detail as part of the relevant legal regulations. According to the restriction map generated, 96% of Çanakkale province is restricted site since the restriction factors was considered refinedly. Analytical hierarchy process (AHP) will be used as a method of analysis and after acquiring the optimal sites, the annual electric power generation potential in those sites will be calculated. The outputs of this study will contribute development strategy and national energy planning.

Keywords

Multi-Criteria Decision Analysis, Analytical Hierarchy Process, Photovoltaic Power Plants, Geographic Information Systems, Çanakkale

Supporting Institution

Scientific Research Projects Coordination Unit of Çanakkale Onsekiz Mart University

Project Number

FYL-2019-2876

Thanks

The authors would like to thank Canakkale Onsekiz Mart University Scientific Research Projects Coordination Unit and ISAG-2019 Organization Committee.

References

• Carl, C. (2014). Calculating Solar Photovoltaic Potential on Residential Rooftops in Kailua Kona, Hawaii (Master’s thesis). University of Southern California, California, Los Angeles, US.
• Cengiz, M.S., Mamiş, M.S. (2016). Thermal solar energy use and efficiency analysis of CSP systems. BEU Journal of Science, 5(1), 1-13, 2016.
• Doljak, D., Stanojevic, G. (2017). Evaluation of natural conditions for site selection of ground-mounted photovoltaic power plants in Serbia. Energy 127 (2017) 291-300.
• Effat, H.A. (2013). Selection of potential sites for solar energy farms in Ismailia Governorate, Egypt using SRTM and Multicriteria Analysis. Cloud Publ. Int. J. Adv. Remote Sens. GIS 2 (2013) 205-220.
• Garni, H.Z., Awasthi, A. (2018). Chapter 2 – Solar PV Plants Site Selection: A Review. Advances in Renewable Energies and Power Technologies Volume 1: Solar and Wind Energies (pp. 57-75).
• 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 (2017), http://dx.doi.org/10.1016/j.apenergy.2017.10.024
• Georgiou, A., Skarlatos, D. (2016). Optimal site selection for sitting a solar park using multi-criteria decision analysis and Geographical Information Systems. Geosci. Instrum. Method. Data Syst, 5, 321-332, 2016.
• Gerçek, Y. (2018). Optimal location analysis of solar energy plants with geographical information systems: Case study of Malatya province, Turkey (Master’s thesis). Karadeniz Technical University, Trabzon, Turkey.
• Kahraman, C., Beşkese, A., Bozbura, T.T. (2006). Fuzzy Regression Approaches and Applications, StudFuzz 201, 589-615
• Li, D. (2013). Using GIS and remote sensing techniques for solar panel installation site selection (Master’s thesis). University of Waterloo, Canada.
• Sanchez-Lozano, J.M., Teruel-Solano, J., Soto-Elvira, P.L., Garcia-Cascales, M.S. (2013). Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain. Renew. Sustain. Energy Rev. 24 (2013) 544-556.
• Sanchez-Lozano, J.M., Antunes, C.A., Garcia-Cascales, M.S., Dias, C.D. (2014). GIS-based photovoltaic solar farms site selection using ELECTRE-TRI; evaluating the case for Torre Pacheco, Murcia, Southeast of Spain. Renew. Energy 66 (2014) 478-494.
• Noorollahi, E., Fadai, D., Shirazi, M.A., Ghodsipour, S. (2016). Land suitability analysis for solar farms exploitation using GIS and Fuzzy Analytic Hierarchy Process (FAHP) – a case study of Iran. Energies 2016, 9, 643.
• Nyerges, T. L., Jankowski, P. (2009). Chapter 7 – Making Choices about GIS-Based Multicriteria Evaluation, Regional and urban GIS, 146, The Guilford Press.
• Özgören, Y., Koyuncu, S. (2018). Current status and optimization of electrical grids in Çanakkale region for renewable energy systems as future technology. Çanakkale Onsekiz Mart University, Journal of Graduate School of Natural and Applied Sciences, 2018:4,2, 212-236.
• Suh, J., Brownson, J. R. S. (2016). Solar farm suitability using Geographic Information System fuzzy sets and Analytic Hierarchy Processes: case study of Ulleung Island, Korea, Energies 9 (2016).
• Tahri, M., Hakdaoui, M., Maanan, M. (2015). The evaluation of solar farm locations applying Geographic Information System and Multi-Criteria Decision Making methods: case study in southern Morocco, Renew. Sustain. Energy. Rev. 51 (2015) 1354-1362.
• Uyan, M. (2016) GIS-Supported mapping of solar power plant sites using AHP method. Pamukkale Univ Muh Bilim Derg, 23(4), 343-351,2017.
• 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 2018, 11, 1648.
• Zoghi, M., Housang Ehsani, A., Sadat, M., Javad Amiri, M. (2015). Optimization solar site selection by Fuzzy Logic Model and Weighted Linear Combination method in arid and semi-arid region: a case study Isfahan-Iran, Renew. Sustain. Energy Rev.