Applying a Combination of AHP, ANP, and PROMETHEE Methods to Find the Optimal Location for Solar Power Plant

Yıl 2021, Sayı: 32, 1076 - 1085, 31.12.2021

Nıma Mırzaeı , Raheleh Nowzari

https://doi.org/10.31590/ejosat.1039961

Cited By: 1

Öz

One of the well-known renewable energy resources is solar energy which has been developed rapidly in recent years. Turkey is one of the high energy consumer countries where has a good potential for using solar power due to its geographical location. Choosing the right location is one of the main issues related to the solar power plant problem. The main objective of this study is to select the optimal location to install a solar power plant among the five cities (Antalya, Nigde, Konya, Mersin, and Isparta) in the south of Turkey, which all of them are considered as potential locations because of receiving a high amount of solar radiation. To accomplish this task, three well-known multi-criteria decision-making methods (AHP, ANP, and PROMETHEE) are used to find the best location considering six different criteria. To simplify and improve the accuracy of calculation, SuperDecisions and VisualPROMETHEE Programs are utilized for analyzing the data. The program results show that Mersin is selected as the best location and the second one is Antalya. Besides, the lowest scored city is Nigde which is considered as the least preferred alternative.

Anahtar Kelimeler

Solar power plant, MCDM, AHP, ANP, PROMETHEE.

AHP, ANP ve PROMETHEE Yöntemlerinin Bir Kombinasyonunun Uygulanması, Güneş Enerjili Elektrik Santrali için En Uygun Yerin Bulunması

Öz

Güneş enerjisi, son yıllarda hızla gelişen popüler yenilenebilir enerji kaynaklarından biridir. Türkiye, coğrafi konumu nedeniyle güneş enerjisini kullanma potansiyeli ve enerji tüketimi yüksek ülkelerden biridir. Güneş enerjili elektrik santrali sorunu ile ilgili temel konulardan biri doğru yer seci midir. Bu çalışma, Türkiye'nin güneyindeki beş şehir (Antalya, Mersin, Niğde, Isparta ve Konya) arasından , çoğunun iyi bir oranda güneş radyasyonu aldığı, güneş enerjili elektrik santrali kurmak için en uygun yeri seçmeyi amaçlamaktadır. Bu görevi gerçekleştirmek için, altı farklı kriteri göz önünde bulundurarak en iyi konumu bulmak için iyi bilinen üç çok kriterli karar verme yöntemi (AHP, ANP ve PROMETHEE) kullanılır. Hesaplamanın doğruluğunu basitleştirmek ve geliştirmek için, verilerin analizinde SuperDecisions ve VisualPROMETHEE Programları kullanılmaktadır. Çalışmanın sonuçları, Mersin'in ardından Antalya'nin en iyi alternatif olduğunu göstermektedir, Niğde ise en az tercih edilen alternatif olarak değerlendirilmek üzere en düşük puanı almıştır.

Anahtar Kelimeler

Güneş enerjili elektrik santrali, Çok kriterli karar verme, AHP, ANP, PROMETHEE

Kaynakça

• Akçay, M., & Atak, M. (2018). Optimal Site Selection for a Solar Power Plant in Turkey Using a Hybrid AHP-TOPSIS Method. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 14(4), 413–420. https://doi.org/10.18466/cbayarfbe.432432
• Akhisar, I. (2014). Performance Ranking of Turkish Insurance Companies: the Anp Application. Finansal Araştırmalar ve Çalışmalar Dergisi, 6(11), 1–14. https://doi.org/10.14784/jfrs.2014117324
• 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(July), Energy Report of Turkeyhttps://doi.org/10.1016/j.apenergy.2017.10.024
• Albadvi, A., Chaharsooghi, S. K., & Esfahanipour, A. (2006). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177(2), 673–683. https://doi.org/10.1016/j.ejor.2005.11.022
• BAĞCI, E. (2019). Renewable Energy Potential in Turkey Production , Consumption and Current Account. 101–117.
• Baka, M., Manganiello, P., Soudris, D., & Catthoor, F. (2019). A cost-benefit analysis for reconfigurable PV modules under shading. Solar Energy, 178(November 2018), 69–78. https://doi.org/10.1016/j.solener.2018.11.063
• Bakirci, K. (2012). General models for optimum tilt angles of solar panels: Turkey case study. Renewable and Sustainable Energy Reviews, 16(8), 6149–6159. https://doi.org/10.1016/j.rser.2012.07.009
• BP Outlook. (2019). BP Energy Outlook 2019 edition The Energy Outlook explores the forces shaping the global energy transition out to 2040 and the key uncertainties surrounding that. BP Energy Outlook 2019. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/energy-outlook/bp-energy-outlook-2019.pdf
• Brans, J. P. (1982). L’ingenierie de la decision, l’laboration d’instruments d’aidea la decision. Colloque Sur l’Aidea La Decision. Faculte Des Sciences de l’Administration, Universite Laval.
• Brans, J. P., & Mareschal, B. (2005). Promethee Methods. In Multiple Criteria Decision Analysis: State of the Art Surveys (pp. 163–186). Springer New York. https://doi.org/10.1007/0-387-23081-5_5
• Campana, P. E., Wästhage, L., Nookuea, W., Tan, Y., & Yan, J. (2019). Optimization and assessment of floating and floating-tracking PV systems integrated in on- and off-grid hybrid energy systems. Solar Energy, 177, 782–795. https://doi.org/10.1016/j.solener.2018.11.045
• Celik, A. N., & Özgür, E. (2020). Review of Turkey’s photovoltaic energy status: Legal structure, existing installed power and comparative analysis. Renewable and Sustainable Energy Reviews, 134, 110344. https://doi.org/10.1016/j.rser.2020.110344
• Chung, S. H., Lee, A. H. I., & Pearn, W. L. (2005). Analytic network process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics, 96(1), 15–36. https://doi.org/10.1016/j.ijpe.2004.02.006
• Colak, H. E., Memisoglu, T., & Gercek, Y. (2020a). Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey. Renewable Energy, 149, 565–576. https://doi.org/10.1016/j.renene.2019.12.078
• Colak, H. E., Memisoglu, T., & Gercek, Y. (2020b). Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey. Renewable Energy, 149, 565–576. https://doi.org/10.1016/j.renene.2019.12.078
• D’Avignon, G., & Mareschal, B. (1989). Specialization of hospital services in Quebec: An application of the promethee and GAIA methods. Mathematical and Computer Modelling, 12(10–11), 1393–1400. https://doi.org/10.1016/0895-7177(89)90376-2
• De Smet, Y., & Guzmán, L. M. (2004). Towards multicriteria clustering: An extension of the k-means algorithm. European Journal of Operational Research, 158(2), 390–398. https://doi.org/10.1016/j.ejor.2003.06.012
• Dou, Y., Zhu, Q., & Sarkis, J. (2014). Evaluating green supplier development programs with a grey-analytical network process-based methodology. European Journal of Operational Research, 233(2), 420–431. https://doi.org/10.1016/j.ejor.2013.03.004
• Doumpos, M., & Zopounidis, C. (2004). A multicriteria classification approach based on pairwise comparisons. European Journal of Operational Research, 158(2), 378–389. https://doi.org/10.1016/j.ejor.2003.06.011
• Energy Report of Turkey. (2017a). https://www.enerji.gov.tr
• Energy Report of Turkey. (2017b). https://www.enerji.gov.tr
• Erdoĝan, M., & Kaya, I. (2015). An integrated multi-criteria decision-making methodology based on type-2 fuzzy sets for selection among energy alternatives in Turkey. Iranian Journal of Fuzzy Systems, 12(1), 1–25. https://doi.org/10.22111/ijfs.2015.1839
• Finance BNE. (2018). Global Trends in Renewable Energy Investment Report.
• Fontana, M. E., & Morais, D. C. (2016). Decision model to control water losses in distribution networks. Producao, 26(4), 688–697. https://doi.org/10.1590/0103-6513.201815
• GEÇEN, R. (2019). Determining the potential of solar power and suitable area for constructing solar power plant in hatay province. Turkish Studies-Social Sciences, Volume 14(Volume 14 Issue 6), 3031–3054. https://doi.org/10.29228/turkishstudies.30212
• Hajkowicz, S., & Higgins, A. (2008). A comparison of multiple criteria analysis techniques for water resource management. European Journal of Operational Research, 184(1), 255–265. https://doi.org/10.1016/j.ejor.2006.10.045
• Hasan, D., Ümit, H., & Serhat, Y. (2016). Performance Assessment of Deposit Banks with CAMELS Analysis using Fuzzy ANP-MOORA Approaches and an Application on Turkish Banking Sector. Asian Journal of Research in Business Economics and Management, 6(2), 32. https://doi.org/10.5958/2249-7307.2016.00009.8
• Hosseini, L., Tavakkoli-Moghaddam, R., Vahdani, B., Mousavi, S. M., & Kia, R. (2013). Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain. Journal of Engineering (United Kingdom), 2013. https://doi.org/10.1155/2013/375628
• Hyde, K. M., & Maier, H. R. (2006). Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in Excel using Visual Basic for Applications. Environmental Modelling and Software, 21(12), 1695–1710. https://doi.org/10.1016/j.envsoft.2005.08.004
• Jung, J., Han, S., & Kim, B. (2019). Digital numerical map-oriented estimation of solar energy potential for site selection of photovoltaic solar panels on national highway slopes. Applied Energy, 242, 57–68. https://doi.org/10.1016/j.apenergy.2019.03.101
• Ka, B. (2011). Application of Fuzzy AHP and ELECTRE to China Dry Port Location Selection. The Asian Journal of Shipping and Logistics, 27(2), 331–353. https://doi.org/10.1016/S2092-5212(11)80015-5
• Kalogeras, N., Baourakis, G., Zopounidis, C., & Van Dijk, G. (2005). Evaluating the financial performance of agri-food firms: A multicriteria decision-aid approach. Journal of Food Engineering, 70(3), 365–371. https://doi.org/10.1016/j.jfoodeng.2004.01.039
• Kang, H. Y., & Lee, A. H. I. (2007). Priority mix planning for semiconductor fabrication by fuzzy AHP ranking. Expert Systems with Applications, 32(2), 560–570. https://doi.org/10.1016/j.eswa.2006.01.035
• Kleidon, A. (2018). Energy balance. Encyclopedia of Ecology, 50–63. https://doi.org/10.1016/B978-0-12-409548-9.00927-1
• Koc, A., Turk, S., & Şahin, 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. https://doi.org/10.1007/s11356-019-06260-1
• Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. In Renewable and Sustainable Energy Reviews (Vol. 69, Issue June 2016, pp. 596–609). Elsevier. https://doi.org/10.1016/j.rser.2016.11.191
• Leung, L. C., & Cao, D. (2000). On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124(1), 102–113. https://doi.org/10.1016/S0377-2217(99)00118-6
• Lu, H., & Zhao, W. (2018). Effects of particle sizes and tilt angles on dust deposition characteristics of a ground-mounted solar photovoltaic system. Applied Energy, 220, 514–526. https://doi.org/10.1016/j.apenergy.2018.03.095
• Mousavi, S. M., Tavakkoli-Moghaddam, R., Heydar, M., & Ebrahimnejad, S. (2013). Multi-Criteria Decision Making for Plant Location Selection: An Integrated Delphi-AHP-PROMETHEE Methodology. Arabian Journal for Science and Engineering, 38(5), 1255–1268. https://doi.org/10.1007/s13369-012-0361-8
• Nowzari, R., Mirzaei, N., & Aldabbagh, L. B. Y. (2015). Finding the best configuration for a solar air heater by design and analysis of experiment. Energy Conversion and Management, 100. https://doi.org/10.1016/j.enconman.2015.04.058
• Poonikom, K., O’Brien, C., & Chansa-ngavej, C. (2004). An Application of the Analytic Network Process(ANP) for University Selection Decisions. ScienceAsia, 30(4), 317. https://doi.org/10.2306/scienceasia1513-1874.2004.30.317
• Raugei, M., Fullana-i-Palmer, P., & Fthenakis, V. (2012). The energy return on energy investment (EROI) of photovoltaics: Methodology and comparisons with fossil fuel life cycles. Energy Policy, 45, 576–582. https://doi.org/10.1016/j.enpol.2012.03.008
• Reza, S., & Majid, A. (2013). Ranking Financial Institutions Based on of Trust in online banking Using ARAS and ANP Method. International Research Journal of Applied and Basic Sciences, 6(4), 415–423.
• Rosenbloom, E. S. (1997). A probabilistic interpretation of the final rankings in AHP. European Journal of Operational Research, 96(2), 371–378. https://doi.org/10.1016/S0377-2217(96)00049-5
• Saaty, T. L. (1984). The Analytic Hierarchy Process: Decision Making in Complex Environments. In Quantitative Assessment in Arms Control (pp. 285–308). Springer US. https://doi.org/10.1007/978-1-4613-2805-6_12
• Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26. https://doi.org/10.1016/0377-2217(90)90057-I
• Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, 1996, ISBN 0-9620317-9-8, 370. http://www.rwspublications.com/books/anp/decision-making-with-dependence-and-feedback/
• Saaty, T. L. (2004). Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network. Journal of Systems Science and Systems Engineering, 13(2), 129–157. https://doi.org/10.1007/s11518-006-0158-y
• Saaty, T. L., & Tran, L. T. (2007). On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling, 46(7–8), 962–975. https://doi.org/10.1016/j.mcm.2007.03.022
• Sánchez-Lozano, J. M., García-Cascales, M. S., & Lamata, M. T. (2015). Evaluation of suitable locations for the installation of solar thermoelectric power plants. Computers and Industrial Engineering, 87, 343–355. https://doi.org/10.1016/j.cie.2015.05.028
• Sennaroglu, B., & Varlik Celebi, G. (2018). A military airport location selection by AHP integrated PROMETHEE and VIKOR methods. Transportation Research Part D: Transport and Environment, 59(January), 160–173. https://doi.org/10.1016/j.trd.2017.12.022
• Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., & Delen, D. (2012). Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey. Expert Systems with Applications, 39(1), 14–24. https://doi.org/10.1016/j.eswa.2011.06.047
• Sinuany-Stern, Z., Mehrez, A., & Hadad, Y. (2000). An AHP/DEA methodology for ranking decision making units. International Transactions in Operational Research, 7(2), 109–124. https://doi.org/10.1111/j.1475-3995.2000.tb00189.x
• Soydan, O. (2021). Solar power plants site selection for sustainable ecological development in Nigde, Turkey. SN Applied Sciences, 3(1). https://doi.org/10.1007/s42452-020-04112-z
• Spengler, T., Geldermann, J., Hähre, S., Sieverdingbeck, A., & Rentz, O. (1998). Development of a multiple criteria based decision support system for environmental assessment of recycling measures in the iron and steel making industry. Journal of Cleaner Production, 6(1), 37–52. https://doi.org/10.1016/s0959-6526(97)00048-6
• TMMOB. (2018). Türkiye’ nin enerji görünümü 2018. https://www.mmo.org.tr/sites/default/files/EnerjiGorunumu2018_1.pdf Vaillancourt, K., & Waaub, J. P. (2002). Environmental site evaluation of waste management facilities embedded into EUGÈNE model: A multicriteria approach. European Journal of Operational Research, 139(2), 436–448. https://doi.org/10.1016/S0377-2217(01)00365-4
• Vego, G., Kučar-Dragičević, S., & Koprivanac, N. (2008). Application of multi-criteria decision-making on strategic municipal solid waste management in Dalmatia, Croatia. Waste Management, 28(11), 2192–2201. https://doi.org/10.1016/j.wasman.2007.10.002
• Yilmaz, S., Ozcalik, H. R., Kesler, S., Dincer, F., & Yelmen, B. (2015). The analysis of different PV power systems for the determination of optimal PV panels and system installation—A case study in Kahramanmaras, Turkey. Renewable and Sustainable Energy Reviews, 52, 1015–1024. https://doi.org/10.1016/j.rser.2015.07.146