Document Type : Research Article
Authors
1 Department of Industrial Engineering, School of Engineering, University of Sistan and Baluchestan, Zahedan, Sistan and Baluchestan, Iran.
2 Department of Mathematics, School of Mathematics, University of Sistan and Baluchestan, Zahedan, Sistan and Baluchestan, Iran.
Abstract
Photovoltaic energy is a good alternative to fossil fuels due to the abundance of solar energy. In this research, the criteria for locating photovoltaic solar power plants were identified using previous studies and experts’ views and by using the Delphi method based on five socioeconomic, topographic, power generation and distribution issues, climatological, and environmental criteria. Then, by using the GIS software, the layers of sub-criteria were classified for locating photovoltaic solar power plants. Upon identifying the proposed decision-maker units for location finding, their efficiency was calculated using the full fuzzy data envelopment analysis method in three steps. The information extracted from the layers of the sub-criteria of GIS was coded using the MATLAB software in the first step of the full fuzzy data envelopment analysis model and the decision-making units were classified into three classes of efficient, weak, and inefficient. In the second step, the values of output shortages and input surplus were determined. Finally, in the third step, efficient decision-making units were ranked using Anderson-Pearson Super Efficiency Method in full fuzzy data envelopment analysis. In order to validate the proposed method, a case study was carried out. The results of calculations showed that the north, central, and southeast areas of Sistan and Baluchestan province were among the favorable areas for photovoltaic solar power plant construction. Therefore, approximately 66 % of the province’s area has appropriate efficiency matching the sub-criteria considered to construct a photovoltaic solar power plant.
Keywords
- Renewable Energy
- Full Fuzzy Data Envelopment Analysis
- Delphi Method
- Location Planning
- Geographic Information System
- Iran
Main Subjects
1. Dehghani, E., Jabalameli, M.S., Jabbarzadeh, A. and Pishvaee, S., "Resilient solar photovoltaic supply chain network design under business-as-usual and hazard uncertainties", Computers & Chemical Engineering, Vol. 111, (2018), 288-310. (https://doi.org/10.1016/j.compchemeng.2018.01.013).
2. Corcelli, F., Ripa, M., Leccisi, E., Cigolotti, V., Fiandra, V., Graditi, G., Sannino, L., Tammaro, M. and Ulgiati S., "Sustainable urban electricity supply chain–Indicators of material recovery and energy savings from crystalline silicon photovoltaic panels end-of-life", Ecological Indicators, Vol. 94, (2016), 37-51. (https://doi.org/10.1016/j.ecolind.2016.03.028).
3. Boxwell, M., The solar electricity handbook-2017 edition: A simple, practical guide to solar energy–designing and installing solar photovoltaic systems, Greenstream Publishing Ltd., UK, (2017). (http://www.sabz-energy.com/solar%20electricity%20handbook%202017.pdf)
4. Olindo, I., Klaus, J., Arno, S., Rene, V.S. and Miro, Z., Solar energy: The physics and engineering of photovoltaic conversion, technologies and systems, UIT Cambridge Ltd., 1st edition, (2016). (https://www.amazon.com/Solar-Energy-Engineering-Photovoltaic-Technologies/dp/1906860327)
5. Akkas, O.P., Erten, M.Y., Cam, E. and Inanc, N., "Optimal site selection for a solar power plant in the central Anatolian region of Turkey", International Journal of Photoenergy, Vol. 15, (2017), 1-13. (https://doi.org/10.1155/2017/7452715).
6. Uyan, M., "GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey", Renewable and Sustainable Energy Reviews, Vol. 28, (2013), 11-17. (https://doi.org/10.1016/j.rser.2013.07.042).
7. Oprea, S.V. and Bara, A., Key technical performance indicators for power plants, Recent Improvements of Power Plants Management and Technology, Chapter 2, (2016). (https://doi.org/10.5772/67858).
8. Aragones-Beltran, P., Chaparro-Gonzalez, F., Pastor-Ferrando, J.P. and Rodriguez-Pozo, F., "An ANP-based approach for the selection of photovoltaic solar power plant investment projects", Renewable and Sustainable Energy Reviews, Vol. 14, No. 1, (2010), 249-264. (https://doi.org/10.1016/j.rser.2009.07.012).
9. Skalna, I., Rębiasz, B., Gaweł, B., Basiura, B., Duda, J., Opiła, J. and Pełech-Pilichowski, T., Advances in fuzzy decision making, Theory and practice, Springer, Vol. 333, (2015), 1-162. (https://doi.org/10.1007/978-3-319-26494-3).
10. Rediske, G., Mairesse Siluk, J.C., Gava Gastaldo, N., Donaduzzi Rigo, P. and Brum Rosa, C., "Determinant factors in site selection for photovoltaic projects: A systematic review", International Journal of Energy Research, Vol. 43, No. 5, (2019), 1689-1701. (https://doi.org/10.1002/er.4321).
11. Merrouni, A.A., Mezrhab, A. and Mezrhab, A., "PV sites suitability analysis in the Eastern region of Morocco", Sustainable Energy Technologies and Assessments, Vol. 18, (2016), 6-15. (https://doi.org/10.1016/j.seta.2016.09.006).
12. Karimi Firozjaei, M., Nematollahi, O., Mijani, N., Nadizadeh Shorabeh, S., Karimi Firozjaei, H. and Toomanian, A., "An integrated GIS-based Ordered Weighted Averaging analysis for solar energy evaluation in Iran: Current conditions and future planning", Renewable Energy, Vol. 136, (2018), 1130-1146. (https://doi.org/10.1016/j.renene.2018.09.090).
13. Sanchez-Lozano, J.M., Teruel-Solano, J., Soto-Elvira, P.L., Garcia-Cascales, M.S. and Socorro, M., "Geographical information systems and multi-criteria decision making methods for the evaluation of solar farms locations: Case study in south-eastern Spain", Renewable and Sustainable Energy Reviews, Vol. 24, (2013), 544-556. (https://doi.org/10.1142/S0219622016500218).
14. Dehghani, E., Jabalameli, M.S., Pishvaee, M.S. and Jabarzadeh, A., "Integrating information of the efficient and anti-efficient frontiers in DEA analysis to assess location of solar plants: A case study in Iran", Journal of Industrial and Systems Engineering, Vol. 11, No. 1, (2018), 163-179. (www.jise.ir/article_50883.html).
15. Choudhary, D. and Shankar, R., "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India", Energy, Vol. 42, (2012), 510-521. (https://doi.org/10.1016/j.energy.2012.03.010).
16. Lee, A., Kang, H.Y., Lin, C.Y. and Shen, K.C., "An integrated decision-making model for the location of a PV solar plant", Sustainability, Vol. 7, No. 10, (2015), 13522-13541. (https://doi.org/10.3390/su71013522).
17. Srivastava, Sh., Lohia, P. and Dwivedi, D.K., "Impact of hole transport layer on performance of perovskite solar cell", AIP Conference Proceedings, Vol. 2220, No. 1, (2020), 1-288. (https://doi.org/10.1063/5.0001790).
18. Isabella, O., Jager, K., Smets, A., Swaaij, R.V. and Zeman, M., Solar energy: The physics and engineering of photovoltaic conversion technologies and systems, UIT Cambridge Ltd., (2016). (https://www.amazon.com/Solar-Energy-Engineering-Photovoltaic-Technologies/dp/1906860327).
19. Ozdemir, S. and Sahin, G., "Multi-criteria decision-making in the location selection for a solar PV power plant using AHP", Measurement, Vol. 129, (2018), 218-226. (https://doi.org/10.1016/j.measurement.2018.07.020).
20. Bal, H., Orkcü, H. and Çelebioglu, S., "A new method based on the dispersion of weights in data envelopment analysis", Computers& Industrial Engineering, Vol. 54, No. 3, (2008), 502-512. (https://doi.org/10.1016/j.cie.2007.09.001).
21. Tomlinson, R.F., Thinking about GIS: Geographic information system planning for managers, Fifth edition, Esri Press, (2007). (ISBN: 978-1589483484).
22. Sui D., "Opportunities and impediments for open GIS", Transactions in GIS, Vol. 18, No. 1, (2014), 1-24. (https://doi.org/10.1111/tgis.12075).
23. Low, M. and Collins, A., Getting to know Arc GIS, Fourth edition, Esri Press, (2015). (https://www.amazon.com/Getting-Know-ArcGIS-10-3-10-3-1/dp/1589483820).
24. Azadeh, A., Sheikhalishahi, M., Firoozi, M. and Khalili, S.M., "An integrated multi-criteria Taguchi computer simulation-DEA approach for optimum maintenance policy and planning by incorporating learning effects", International Journal of Production Research, Vol. 51, No. 18, (2013), 5374-5385. (https://doi.org/10.1080/00207543.2013.774496).
25. Dehghani, E., Jabalameli, M.S. and Jabbarzadeh, A., "Robust design and optimization of solar photovoltaic supply chain in an uncertain environment", Energy, Vol. 142, (2018), 139-156. (https://doi.org/10.1016/j.energy.2017.10.004).
26. Campana, P.E., Leduc, S., Kim, M., Liu, J., Kraxner, F., Callum, I.M., Li, H. and Yan, J., "Optimal grassland locations for sustainable photovoltaic water pumping systems in China", Energy Procedia, Vol. 75, (2015), 301-307. (https://doi.org/10.1016/j.egypro.2015.07.355).
27. Wang, T.C. and Tsai, S.Y., "Solar panel supplier selection for the photovoltaic system design by using fuzzy Multi-criteria decision making (MCDM) approaches", Energies, Vol. 11, (2018), 1-22. (https://doi.org/10.3390/en11081989).
28. Ahammed, F. and Azeem, A., "Selection of the most appropriate package of Solar Home System using Analytic Hierarchy Process model in rural areas of Bangladesh", Renewable Energy, Vol. 55, (2013), 6-11. (https://doi.org/10.1016/j.renene.2012.12.020).
29. Wu, Y. and Geng, Sh., "Multi-criteria decision making on selection of solar–wind hybrid power station location: A case of China", Energy Conversion and Management, Vol. 81, (2014), 527-533. (https://doi.org/10.1016/j.enconman.2014.02.056).
30. Sanchez-Lozano, J.M., Garcia-Cascales, M.S. and Lamata, M.T., "Evaluation of suitable locations for the installation of solar thermoelectric power plants", Computers & Industrial Engineering, Vol. 87, (2015), 343-355. (https://doi.org/10.1016/j.cie.2015.05.028).
31. Khanjarpanah, H., Jabbarzadeh, A. and Seyedhosseini, S.M., "A novel multi-period double frontier network DEA to sustainable location optimization of hybrid wind-photovoltaic power plant with real application", Energy Conversion and Management, Vol. 159, (2018),175-188. (https://doi.org/10.1016/j.enconman.2018.01.013).
32. Habibi. A., Sarfarazi, R. and Izadyar, S., "Delphi technique theoretical framework in qualitative research", The International Journal Of Engineering And Science (IJES), Vol. 3, No. 4, (2014), 8-13. (https://doi.org/v3-i4/Version-4/B03404008013).
33. DeMers, M.N., GIS for dummies, 1st Edition, Kindle Edition, Wiley Publishing, (2009). (https://www.amazon.com/GIS-Dummies-Michael-N-DeMers-ebook/dp/B001FA0GMQ).
34. Hatami-Marbini, A., Tavana, M., Emrouznejad, A. and Saati, S., "Efficiency measurement in fuzzy additive data envelopment analysis", Industrial and Systems Engineering, Vol. 10, (2017), 1-20. (https://doi.org/10.1504/IJISE.2012.044041).
35. Andersen, P. and Petersen, N.C., "A procedure for ranking efficient units in data envelopment analysis", Management Science, Vol. 39, (1993), 1261-1264. (https://doi.org/10.1287/mnsc.39.10.1261).
36. Ghose, D., Naskar, S., Uddin, Sh. and Roy, A.K., "An open source software: Q-GIS based analysis for solar potential of Sikkim (India)", International Journal of Open Source Software and Processes, Vol. 10, No. 1, (2019), 49-68. (https://doi.org/10.4018/IJOSSP.2019010104).
37. Aguayo, P., "Solar energy potential analysis at building scale using LiDAR and satellite data", University of Waterloo, Canada, (2013), 1-164. (http://hdl.handle.net/10012/7603).
38. Olufemi, A., Omitaomu, K., Brandon, R., Blevins, C., Gary, T., Stanton, W., Hadley, J., Harrison, J., Budhendra, L. and Amy, N., "Adapting a GIS based multicriteria decision analysis approach for evaluating new power generating sites", Applied Energy, Vol. 96, (2012), 292-301. (https://doi.org/10.1016/j.apenergy.2011.11.087).
39. Yushchenko, A., Bono, A., Chatenoux, B., Patel, M.K. and Ray, N., "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa", Renewable and Sustainable Energy Reviews, Vol. 81, (2018), 2088-2103. (https://doi.org/10.1016/j.rser.2017.06.021).
40. Garni, H.Z.A. and Awasthi, A., "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia", Applied Energy, Vol. 206, (2017), 1225-1240. (https://doi.org/10.1016/j.apenergy.2017.10.024).
41. Carrion, J.A., Espin Estrella, A., Aznar Dols, F. and Ramos Ridao, A., "The electricity production capacity of photovoltaic power plants and the selection of solar energy sites in Andalusia (Spain)", Renewable Energy, Vol. 33, (2008), 545-552. (https://doi.org/10.1016/j.renene.2007.05.041).
42. Janke, J.R., "Multicriteria GIS modeling of wind and solar farms in Colorado", Renewable Energy, Vol. 35, (2010), 2228-2234. (https://doi.org/10.1016/j.renene.2010.03.014).
43. Charabi, Y. and Gastli, A., "PV site suitability analysis, using GIS based spatial fuzzy multi-criteria evaluation", Renewable Energy, Vol. 36, (2011), 2554-2561. (https://doi.org/10.1016/j.renene.2010.10.037).
44. Saracoglu, B.O., Ohunakin, O.S., Adelekan, D.S., Gill, J., Atiba, O.E., Okokpujie, I.P. and Atayero, A.A., "A framework for selecting the location of very large photovoltaic solar power plants on a global/supergrid",Energy Reports, Vol. 4, (2018), 586-602. (https://doi.org/10.1016/j.egyr.2018.09.002).
45. Dawson, L. and Schlyter, P., "Less is more: Strategic scale site suitability for concentrated solar thermal power in Western Australia", Energy Policy, Vol. 47, (2012), 91-101. (https://doi.org/10.1016/j.enpol.2012.04.025).
46. Doorga, J.R.S., Rughooputh, S.D.D.V. and Boojhawon, R., "Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius", Renewable Energy, Vol. 133, (2019), 1201-1219. (https://doi.org/10.1016/j.renene.2018.08.105).
47. Gherboudj, I. and Ghedira, H., "Assessment of solar energy potential over the United Arab Emirates using remote sensing and weather forecast data", Renewable and Sustainable Energy Reviews, Vol. 55, (2016), 1210-1224. (https://doi.org/10.1016/j.rser.2015.03.099).
48. Sanchez-Lozano, J.M., Garcia-Cascales, M.S. and Lamata, M.T., "Comparative TOPSIS-ELECTRE TRI methods for optimal sites for photovoltaic solar farms. Case study in Spain", Journal of Cleaner Production, Vol. 127, (2016), 387-398. (https://doi.org/10.1016/j.jclepro.2016.04.005).
49. Borgogno Mondino, E., Fabrizio, E. and Chiabrando, R., "Site selection of large ground-mounted photovoltaic plants: A GIS decision support system and an application to Italy", International Journal of Green Energy, Vol. 12, No. 5, (2015), 515-525. (https://doi.org/10.1080/15435075.2013.858047).
50. Wang, Q., M'Ikiugu, M. and Kinoshita, I., "A GIS-based approach in support of spatial planning for renewable energy: A case study of Fukushima, Japan", Sustainability, Vol. 6, No. 4, (2014), 2087-2117. (https://doi.org/10.3390/su6042087).
51. Sanchez-Lozano, J.M., Henggeler Antunes, C., Garcia-Cascales, M.S. and Dias, L.C., "GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain",Renewable Energy, Vol. 66, (2014), 478-494. (https://doi.org/10.1016/j.renene.2013.12.038).
52. Effat, H.A., "Selection of potential sites for solar energy farms in Ismailia Governorate, Egypt using SRTM and multicriteria analysis", International Journal of Advanced Remote Sensing and GIS, Vol. 2, Cloud Publications, (2013), 205-220. (http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-125).
53. Merrouni, A.A., Elalaoui, F.E., Mezrhab, A., Mezrhab, A. and Ghennioui, A., "Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco", Renewable Energy, Vol. 119, (2018), 863-873. (https://doi.org/10.1016/j.renene.2017.10.044).
54. Aydin, N.Y., Kentel, E., Sebnem Duzgun, H., "GIS-based site selection methodology for hybrid renewable energy systems: A case study from western Turkey", Energy Conversion and Management, Vol. 70, (2013), 90-106. (https://doi.org/10.1016/j.enconman.2013.02.004).
55. Majumdar, D. and Pasqualetti, M.J., "Analysis of land availability for utility-scale power plants and assessment of solar photovoltaic development in the state of Arizona, USA", Renewable Energy, Vol. 134, (2019), 1213-1231. (https://doi.org/10.1016/j.renene.2018.08.064).
56. Watson, J.J.W. and Hudson, M.D., "Regional scale wind farm and solar farm suitability assessment using GIS-assisted multi-criteria evaluation", Landscape and Urban Planning, Vol. 138, (2015), 20-31. (https://doi.org/10.1016/j.landurbplan.2015.02.001).
57. Mentis, D., Welsch, M., Fuso Nerini, F., Broad, O., Howells, M., Bazilian, M. and Rogner., H., "A GIS-based approach for electrification planning—A case study on Nigeria", Energy for Sustainable Development, Vol. 29, (2015), 142-150. (https://doi.org/10.1016/j.esd.2015.09.007).
58. Sabo, M.L., Mariun, N., Hizam, H., Mohd Radzi, M.A. and Zakaria, A., "Spatial matching of large-scale grid-connected photovoltaic power generation with utility demand in Peninsular Malaysia", Apllied Energy, Vol. 191, (2017), 663-688. (https://doi.org/10.1016/j.apenergy.2017.01.087).
59. Tavana, M., Arteaga, F.J.S., Mohammadi, S. and Alimohammadi, M., "A fuzzy multi-criteria spatial decision support system for solar farm location planning", Energy Strategy Reviews, Vol. 18, (2017), 93-105. (https://doi.org/10.1016/j.esr.2017.09.003).
60. Massimo, A., Dell'Isola, M., Frattolillo, A. and Ficco, G., "Development of a Geographical Information System (GIS) for the integration of solar energy in the energy planning of a wide area", Sustainability, Vol. 6, No. 9, (2014), 5730-5744. (https://doi.org/10.3390/su6095730).
61. Yunna, W. and Geng, S., "Multi-criteria decision making on selection of solar–wind hybrid power station location: A case of China", Energy Conversion and Management, Vol. 81, (2014), 527-533. (https://doi.org/10.1016/j.enconman.2014.02.056).
62. Kengpol, A., Rontlaong, P. and Tuominen, M., "A decision support system for selection of solar power plant locations by applying fuzzy AHP and TOPSIS: An empirical study", Journal of Software Engineering and Applications, Vol. 6, No. 9, (2013), 1-12. (https://doi.org/10.4236/jsea.2013.69057 ).
63. Aly, A., Jensen, S.S. and Pedersen, A.B., "Solar power potential of Tanzania: Identifying CSP and PV hot spots through a GIS multicriteria decision making analysis", Renewable Energy, Vol. 113, (2017), 159-175. (https://doi.org/10.1016/j.renene.2017.05.077).
64. Anwarzai, M.A. and Nagasaka, K., "Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis", Renewable and Sustainable Energy Reviews, Vol. 71, (2017), 150-160. (https://doi.org/10.1016/j.rser.2016.12.048).
)
