Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 2147-5881 Pamukkale Üniversitesi Engineering Mühendislik FUCOM sübjektif ağırlıklandırma yöntemi ile rüzgâr çiftliği yer seçimini etkileyen faktörlerin analizi Ecer Fatih AFYON KOCATEPE ÜNİVERSİTESİ 02 08 2021 27 1 24 34 02 01 2020 Copyright © 2013, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 2013 Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Temiz bir enerji kaynağı olan ve doğal dengeyi bozmayan rüzgâr enerjisi, günümüzün en önemli yenilenebilir enerji kaynaklarından birisidir. Bu çalışmada rüzgâr çiftlikleri için uygun yer tespitinde kullanılan faktörler, oldukça yeni bir sübjektif ağırlıklandırma yöntemi olan FUCOM (Full Consistency Method-Tam Tutarlılık Yöntemi) yöntemi kullanılarak analiz edilmiştir. FUCOM, doğrusal programlama temelli bir yöntemdir ve diğer ağırlıklandırma yöntemlerinden daha az ikili karşılaştırmaya ihtiyaç duyar. Çalışmadaki değerlendirme modeli, üç temel boyutu ve on iki faktörü dikkate almaktadır. Bulgular, bir rüzgâr çiftliği sahasının tercih edilmesinin büyük ölçüde rüzgâr potansiyeline ve yerleşim yerlerine olan uzaklığına bağlı olduğunu göstermiştir. Ayrıca önerilen yöntemin tutarlılığını ve kullanışlılığını göstermek için bir duyarlılık analizi yapılmıştır. Bu çalışmanın sonuçları rüzgâr enerjisine yönelik politika belirlemekte kullanılabilir.

 Rüzgâr çiftliği Rüzgâr çiftliği yer seçimi Sürdürülebilirlik FUCOM Çok kriterli karar verme [1] Gigovic L, Pamučar D, Božanić D, Ljubojević S. “Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia”. Renewable Energy, 103, 501-521, 2017. [2] Ayodele TR, Ogunjuyigbe ASO, Odigie O, Munda JL. “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, 2018. [3] Atici KB, Simsek AB, Ulucan A, Tosun MU. “A GIS-based Multiple Criteria Decision Analysis approach for wind power plant site selection”. Utilities Policy, 37, 86-96, 2015. [4] Ali S, Taweekun J, Techato K, Waewsak J, Gyawali S. “GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand”. Renewable Energy, 132, 1360-1372, 2019. [5] Bili A, Vagiona DG. “Use of multicriteria analysis and GIS for selecting sites for onshore wind farms: the case of Andros Island (Greece)”. European Journal of Environmental Sciences, 8(1), 5-13, 2018. [6] Daneshvar Rouyendegh B, Yildizbasi A, Arikan ÜZ. “Using intuitionistic fuzzy TOPSIS in site selection of wind power plants in Turkey”. Advances in Fuzzy Systems, 12(1), 1-14, 2018. [7] Solangi Y, Tan Q, Khan M, Mirjat N, Ahmed I. “The selection of wind power project location in the southeastern corridor of pakistan: a factor analysis, AHP and fuzzy-TOPSIS application”. Energies, 11(8), 1940-1949, 2018. [8] Azizi A, Malekmohammadi B, Jafari HR, Nasiri H, Parsa VA. “Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran”. Environmental Monitoring and Assessment, 186(10), 6695-6709, 2014. [9] Bennui A, Rattanamanee P, Puetpaiboon U, Phukpattaranont P, Chetpattananondh K. “Site selection for large wind turbine using GIS”. PSU-UNS International Conference on Engineering and Environment-ICEE, Songkhla, Thailand, 10-11 May 2007. [10] Hashemkhani Zolfani S, Ecer F, Pamučar D, Raslanas S. “Neighborhood selection for a newcomer via a novel BWM-based revised MAIRCA integrated model: a case from the Coquimbo-La Serena conurbation, Chile”. International Journal of Strategic Property Management, 24(2), 102-118, 2020. [11] Ecer F, Pamucar D. “Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo'B) multi-criteria model”. Journal of Cleaner Production, 266, 121981, 2020. [12] Kersuliene V, Zavadskas EK, Turskis Z. “Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA)”. Journal of Business Economics and Management, 11(2), 243-258, 2010. [13] Hashemkhani Zolfani S, Bahrami M. “Investment prioritizing in high tech industries based on SWARA-COPRAS approach”. Technological and Economic Development of Economy, 20(3), 534-553, 2014. [14] Ecer F. “An integrated Fuzzy AHP and ARAS model to evaluate mobile banking services”. Technological and Economic Development of Economy, 24(2), 670-695, 2018. [15] Ecer F. “A hybrid banking websites quality evaluation model using AHP and COPRAS-G: a Turkey case”. Technological and Economic Development of Economy, 20(4), 758-782, 2014. [16] Ecer F, Kinay AÖ, Nasiboğlu E. “Determination of the financial support required by the families with disabilities to achieve standard life conditions with the AHP method”. Mehmet Akif Ersoy Üniversitesi İİBF Dergisi, 5(3), 687-704, 2018. [17] Noorollahi Y, Yousefi H, Mohammadi M. “Multi-criteria decision support system for wind farm site selection using GIS”. Sustainable Energy Technologies and Assessments, 13, 38-50, 2016. [18] Talinli I, Topuz E, Aydin E, Kabakci SB. “A holistic approach for wind farm site selection by FAHP”. Wind farm: technical regulations, potential estimation and siting assessment. InTech, Croatia, 3(1), 213-234, 2011. [19] Tegou LI, Polatidis H, Haralambopoulos DA. “Environmental management framework for wind farm siting: Methodology and case study”. Journal of Environmental Management, 91(11), 2134-2147, 2010. [20] Pamucar D, Deveci M, Canıtez F, Bozanic D. “A fuzzy Full Consistency Method-Dombi-Bonferroni model for prioritizing transportation demand management measures”. Applied Soft Computing, 87, 105952, 2020. [21] Stevic Z, Brkovic N. “A novel integrated FUCOM-MARCOS model for evaluation of human resources in a transport company”. Logistics, 4(1), 4-14, 2020. [22] Cao Q, Esangbedo MO, Bai S, Esangbedo CO. “Grey SWARA-FUCOM weighting method for contractor selection MCDM problem: A case study of floating solar panel energy system installation”. Energies, 12(13), 2481, 2019. [23] Zagradjanin N, Pamucar D, Jovanovic K. “Cloud-Based multi-robot path planning in complex and crowded environment with multi-criteria decision making using full consistency method”. Symmetry, 11(10), 1241, 2019. [24] Mostafaeipour A, Abarghooei H. “Harnessing wind energy at Manjil area located in north of Iran”. Renewable and Sustainable Energy Reviews, 12(6), 1758-1766, 2008. [25] Farajisabokbar H, Nasiri H, Hamzeh M, Talebi S, Rafee Y. “Analysis of land suitability to locate rural service centres using PROMETHEE II and AHP methods in GIS environment (Case study in Soltanieh-Abhar city)”. Journal of Rural Development, 2, 95-118, 2010. [26] Jafari H, Azizi A, Nasiri H. “Analysis of land suitability to establish wind power plants in Ardabil province using AHP and SAW models in GIS”. Journal of Environmental Science and Technology, 15(2), 23-41, 2011. [27] Zahedi M, Salahi B, Jamil M. “Calculation of wind density and potentials for use of wind energy in Ardabil”. Journal of Research in Geography, 37(53), 41-55, 2005. [28] Lee KH, Jun SO, Pak KH, Lee DH, Lee KW, Park JP. “Numerical optimization of site selection for offshore wind turbine installation using genetic algorithm”. Current Applied Physics, 10(2), 2-6, 2010. [29] Sooriyaarachchi TM, Tsai IT, El Khatib S, Farid AM, Mezher T. “Job creation potentials and skill requirements in, PV, CSP, wind, water-to-energy and energy efficiency value chains”. Renewable and Sustainable Energy Reviews, 52, 653-668, 2015. [30] Pamucar D, Stević Ž, Sremac S. “A new model for determining weight coefficients of criteria in MCDM models: Full consistency method (FUCOM)”. Symmetry, 10(9), 393, 2018. [31] Ecer F. “Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer”. Operational Research, 2020. https://doi.org/10.1007/s12351-020-00552-y. [32] Ecer F. Çok Kriterli Karar Verme Geçmişten Günümüze Kapsamlı Bir Yaklaşım. Ankara, Türkiye, Seçkin Yayıncılık 2020.