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Evaulation of Wind Turbine Tower Alternatives With Multi Criteria Decision Making Method

Year 2021, Issue: 23, 386 - 393, 30.04.2021
https://doi.org/10.31590/ejosat.874796

Abstract

One of the biggest natural energy sources in renewable energy is undoubtedly wind energy. Huge-sized wind turbine towers are used for wind energy. In some cases, tribune towers of 10 meters can be used to meet smaller needs. These towers can be composed of structures such as steel, hybrid and reinforced concrete. Within the scope of this study, three different types of wind turbine towers was selected using the Fuzzy Analytical Hierarchy Process (BAHS) method which is one of the multi-criteria decision making methods. In addition to the analysis of installation and maintenance costs, criteria such as recycling rates and economic life are taken into account in this study. According to these criteria, different most suitable wind turbine was analyzed with BAHS method and the most suitable tower type was selected. As a result of the study, the hybrid type tower came to the fore in terms of recycling, maintenance, operation and installation convenience, as well as displacement and stress values. 

References

  • Abbate, G.B., (2013), Optimal Control for Fatigue Reduction of a Ballast-Stabilized Floating Wind Turbine, Department of Electronic Systems, Allborg University, Denmark, 2013.
  • Arslan T., & Khirsty, J., (2006), A Rational Approach to Hand-ling Fuzzy Perceptions in Route Choice, Europen Journal of Ope-rational Research, vol.:168(29), pp: 571-583.
  • Artun, O., (2020), Determination of the Suitable Areas for The Investment of the Wind Energy Plants (WEP) in Osmaniye Using Analytical Hierarchy Process (AHP) and Geographic Information Systems (GIS). Avrupa Bilim ve Teknoloji Dergisi, (20), 196-205.
  • Che, Z., Wang, H., & Chuang, C.L., (2010), A Fuzzy AHP and DEA Approach for Making Bank Loan Decisions For Small and Medium Enterprises in Taiwan, Expert Systems with Applications, vol.:37(10), pp: 7189-7199.
  • Chang, D.Y., (1996), Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research, vol.:95, pp: 649-655.
  • Gkantou, M., Baniotopoulos, C., & Martinez-Vazquez P., (2017)., Tall Hybrid Wind Turbine Towers Load Analysis and Structural Response, The International Conference on wind Enerfy Harvesting-2017, paper 209, pp:87-90, Coimbra, Portugal, 20‐21 April 2017.
  • Harte, R., Gideon P.A.G., & Zijl, V., (2007), Structural Stability of Concrete Wind Turbines and Solar Towers Exposed to Dynamic Wind Action, Journal of Wind Engineering and Industrial Aerodynamics, vol.: 95, pp: 1079-1096.
  • Kanbur, F.A., (2014), Steel Tower Design for a 500 KW Wind Turbine, istanbul Technical University, Graduate Scholl of Natural, The Degree of Master Thesis, istanbul, Turkey.
  • Kocer, F.Y. & Arora, J.S., (1996), Design of Prestressed Concrete Transmission Poles: Optimization Approach, Journal of Structural Engineering 122, no. 7 (July), pp: 804-814.
  • Krishnendu, S., Ravi, S., Surendra, S.Y., & Lakshman, S.T., (2012), Supplier Selection Using Fuzzy AHP and Fuzzy Multi-Objective Linear Programming for Developing low Carbon Supply Chain, Expert Systems with Applications, vol: 39(9), pp: 8182-8192.
  • Laxson, A., (2001), WindPACT Turbine Design Scaling Studies Technical Area 3-Self-Erecting Tower and Nacelle Feasibility, National Renewable Energy Laboratory (NREL), March 2001.
  • Lewin, T.J., (2010), An Investigation of Design Alternatives for 328-ft (100-m) Tall Wind Turbine Towers, The Degree of Master Thesis, Iowa State University, Iowa, USA.
  • Lin, H.F., (2010), An Application of Fuzzy AHP for Evaluating Eour-seWebsite Quality, Computers & Education, vol.:54(4), pp: 877-888.
  • Lee, S.K., Kon, S., Mogi, G., Li, Z., Hui, K.S., Lee, S.K., Hui, K.N., Park, S.Y., Ha Y.J., & Kim, J.W., (2010), Econometric Analysis of the R&D Performance in the National Hygrogen Energy Technology Development for Measuring Relative Efficiency: The fuzzy AHP/DEA Integrated Model Approach, International Journal of Hydrogen Energy, vol.:35(6), pp: 2236-2246.
  • Manwel, J.F., Mcgowan, J.G., & Rogers, A.L., (2009), Wind Energy Explained Theory, Design and Application Second Edition, John Wiley & Sons, Ltd.U.K.
  • Moan, T., (2017), Recent developments of analysis and design of floating wind turbines, The International Conference on Wind Energy Harvesting-2017, pp. 17–34, Coimbra Portugal, 20‐21 April 2017.
  • Negm, H.M., & Maalawi, K.Y., (1999), Structural Design Optimization of Wind Turbine Towers, Computers and Structures, vol.:74, pp: 649-666.
  • Orlando, D., (2011), Computer-aided Maintenance Management Sys-tems Selection Based on a Fuzzy AHP Approach, Advances in Engine-ering Software, vol:42(10), pp: 821-829.
  • Paksoy, T., Pehlivan N.Y. & Kahraman, C., (2012), Organizational Strategy Development in Distribution Channel Manage-ment using Fuzzy AHP and Hierarchical Fuzzy TOPSİS, Expert Sys-tems with Applications, vol.:39(3), pp: 2822-2841.
  • Price, T., (2004), Oxford Dictionary of National Biography (online ed.). Oxford University Press. doi: https://doi.org/10.1093/ref:odnb/100957
  • Richter, C., Mohammadi, M.R.S., Pak, D., Rebelo, C., & Feldmann, M., (2017), Showtime Stell Hybrid onshore Wind Towers Installed With Minimal Effort Development of Lifting Proces, The International Conference on wind Enerfy Harvesting-2017, paper 209 pp:87-90, Coimbra, Portugal, 20‐21 April 2017.
  • Şermet, F., Yiğit, M.E., & Hökelekli, E., (2019), Dynamic Analysis of Different Type of Wind Turbine Towers Due to Wind and Earthquake Effect, International Civil Engineering & Architecture Conference (ICEARC 2019), Trabzon, TURKEY, 17-20 April 2019.
  • Taha, Z., & Rostam, S., (2011), A Hibrid Fuzzy AHP-PROMETHEE Decision Support System for Machine Tool Selection in Flexible Manufacturing cell, Journal of Intelligent Manufacturing, vol.:23(6), pp: 2137-3149.
  • Uzoka, F.M.E., Obat, O., Barker K., & Osuji, J., (2011), An Experimental Comparison of Fuzzy Logic and AHP for Medical Decision Support Systems, Computer Methods and Programs Biomedicine, vol.:103(1), pp: 10-27.
  • Yiğit, M.E., Özdemir, A., Şermet, F., & Pınarlık, M., (2018), Analysis of Offshore Wind Turbine Towers with Different Designs by Finite Elements Method, 9 th International Conference on Engineering, Technology, Management and Science 2018, (ICETMS 2018), Barcelona, Spain, 1st & 2nd July 2018.
  • WindEurope, (2020), Wind energy in Europe in 2019, European Statistics Archive. [Online]. https://windeurope.org/aboutind/statistics/european/wind-energy-in-europe-in-2019/, Accessed 13 October 2020.
  • Quilligan, A., O’Connor, A., & Pakrashi, V., (2012), Fragility Analysis of Steel and Concrete Wind Turbine Towers, Engineering Structures, volume 36, pp:270–282.

Rüzgar Türbin Kulesi Alternatiflerinin Çok Kriterli Karar Verme Yöntemleri İle Değerlendirilmesi

Year 2021, Issue: 23, 386 - 393, 30.04.2021
https://doi.org/10.31590/ejosat.874796

Abstract

Yenilenebilir enerjinin öneminin daha fazla ön plana çıktığı 21. yüzyılda, en büyük doğal enerji kaynaklarından birisi de hiç kuşkusuz rüzgar enerjisidir. Rüzgar enerjisi için büyük boyutlarda rüzgar tribünlerine ihtiyaç vardır. Bazı durumlarda ise daha küçük ihtiyaçları gidermek için 10m boyutlarında tribün kuleleri kullanılabilmektedir. Bu kuleler çelik, hibrit, betonarme gibi çok farklı şekilde yapılardan oluşabilmektedir. Bu çalışma kapsamında üç farklı tip rüzgâr türbini kulelerinin Bulanık Analitik Hiyerarşi Süreci (BAHS) yöntemiyle seçimi üzerine bir probleme değinilmiştir. Kurulum ve bakım maliyetlerinin yanı sıra ekonomik ömrü sonundaki geri dönüşüm oranları gibi kriterler bu çalışmada dikkate alınmıştır. Bu kriterlere göre farklı en uygun rüzgar tribünü BAHS metodu ile analiz edilmiş ve en uygun kule tipinin seçimi yapılmıştır. Çalışma sonucunda gerek geri dönüşüm, bakım işletme ve montaj kolaylığı gerekse deplasman ve gerilme değerleri bakımından hibrit tipi kule ön plana çıkmıştır.

References

  • Abbate, G.B., (2013), Optimal Control for Fatigue Reduction of a Ballast-Stabilized Floating Wind Turbine, Department of Electronic Systems, Allborg University, Denmark, 2013.
  • Arslan T., & Khirsty, J., (2006), A Rational Approach to Hand-ling Fuzzy Perceptions in Route Choice, Europen Journal of Ope-rational Research, vol.:168(29), pp: 571-583.
  • Artun, O., (2020), Determination of the Suitable Areas for The Investment of the Wind Energy Plants (WEP) in Osmaniye Using Analytical Hierarchy Process (AHP) and Geographic Information Systems (GIS). Avrupa Bilim ve Teknoloji Dergisi, (20), 196-205.
  • Che, Z., Wang, H., & Chuang, C.L., (2010), A Fuzzy AHP and DEA Approach for Making Bank Loan Decisions For Small and Medium Enterprises in Taiwan, Expert Systems with Applications, vol.:37(10), pp: 7189-7199.
  • Chang, D.Y., (1996), Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research, vol.:95, pp: 649-655.
  • Gkantou, M., Baniotopoulos, C., & Martinez-Vazquez P., (2017)., Tall Hybrid Wind Turbine Towers Load Analysis and Structural Response, The International Conference on wind Enerfy Harvesting-2017, paper 209, pp:87-90, Coimbra, Portugal, 20‐21 April 2017.
  • Harte, R., Gideon P.A.G., & Zijl, V., (2007), Structural Stability of Concrete Wind Turbines and Solar Towers Exposed to Dynamic Wind Action, Journal of Wind Engineering and Industrial Aerodynamics, vol.: 95, pp: 1079-1096.
  • Kanbur, F.A., (2014), Steel Tower Design for a 500 KW Wind Turbine, istanbul Technical University, Graduate Scholl of Natural, The Degree of Master Thesis, istanbul, Turkey.
  • Kocer, F.Y. & Arora, J.S., (1996), Design of Prestressed Concrete Transmission Poles: Optimization Approach, Journal of Structural Engineering 122, no. 7 (July), pp: 804-814.
  • Krishnendu, S., Ravi, S., Surendra, S.Y., & Lakshman, S.T., (2012), Supplier Selection Using Fuzzy AHP and Fuzzy Multi-Objective Linear Programming for Developing low Carbon Supply Chain, Expert Systems with Applications, vol: 39(9), pp: 8182-8192.
  • Laxson, A., (2001), WindPACT Turbine Design Scaling Studies Technical Area 3-Self-Erecting Tower and Nacelle Feasibility, National Renewable Energy Laboratory (NREL), March 2001.
  • Lewin, T.J., (2010), An Investigation of Design Alternatives for 328-ft (100-m) Tall Wind Turbine Towers, The Degree of Master Thesis, Iowa State University, Iowa, USA.
  • Lin, H.F., (2010), An Application of Fuzzy AHP for Evaluating Eour-seWebsite Quality, Computers & Education, vol.:54(4), pp: 877-888.
  • Lee, S.K., Kon, S., Mogi, G., Li, Z., Hui, K.S., Lee, S.K., Hui, K.N., Park, S.Y., Ha Y.J., & Kim, J.W., (2010), Econometric Analysis of the R&D Performance in the National Hygrogen Energy Technology Development for Measuring Relative Efficiency: The fuzzy AHP/DEA Integrated Model Approach, International Journal of Hydrogen Energy, vol.:35(6), pp: 2236-2246.
  • Manwel, J.F., Mcgowan, J.G., & Rogers, A.L., (2009), Wind Energy Explained Theory, Design and Application Second Edition, John Wiley & Sons, Ltd.U.K.
  • Moan, T., (2017), Recent developments of analysis and design of floating wind turbines, The International Conference on Wind Energy Harvesting-2017, pp. 17–34, Coimbra Portugal, 20‐21 April 2017.
  • Negm, H.M., & Maalawi, K.Y., (1999), Structural Design Optimization of Wind Turbine Towers, Computers and Structures, vol.:74, pp: 649-666.
  • Orlando, D., (2011), Computer-aided Maintenance Management Sys-tems Selection Based on a Fuzzy AHP Approach, Advances in Engine-ering Software, vol:42(10), pp: 821-829.
  • Paksoy, T., Pehlivan N.Y. & Kahraman, C., (2012), Organizational Strategy Development in Distribution Channel Manage-ment using Fuzzy AHP and Hierarchical Fuzzy TOPSİS, Expert Sys-tems with Applications, vol.:39(3), pp: 2822-2841.
  • Price, T., (2004), Oxford Dictionary of National Biography (online ed.). Oxford University Press. doi: https://doi.org/10.1093/ref:odnb/100957
  • Richter, C., Mohammadi, M.R.S., Pak, D., Rebelo, C., & Feldmann, M., (2017), Showtime Stell Hybrid onshore Wind Towers Installed With Minimal Effort Development of Lifting Proces, The International Conference on wind Enerfy Harvesting-2017, paper 209 pp:87-90, Coimbra, Portugal, 20‐21 April 2017.
  • Şermet, F., Yiğit, M.E., & Hökelekli, E., (2019), Dynamic Analysis of Different Type of Wind Turbine Towers Due to Wind and Earthquake Effect, International Civil Engineering & Architecture Conference (ICEARC 2019), Trabzon, TURKEY, 17-20 April 2019.
  • Taha, Z., & Rostam, S., (2011), A Hibrid Fuzzy AHP-PROMETHEE Decision Support System for Machine Tool Selection in Flexible Manufacturing cell, Journal of Intelligent Manufacturing, vol.:23(6), pp: 2137-3149.
  • Uzoka, F.M.E., Obat, O., Barker K., & Osuji, J., (2011), An Experimental Comparison of Fuzzy Logic and AHP for Medical Decision Support Systems, Computer Methods and Programs Biomedicine, vol.:103(1), pp: 10-27.
  • Yiğit, M.E., Özdemir, A., Şermet, F., & Pınarlık, M., (2018), Analysis of Offshore Wind Turbine Towers with Different Designs by Finite Elements Method, 9 th International Conference on Engineering, Technology, Management and Science 2018, (ICETMS 2018), Barcelona, Spain, 1st & 2nd July 2018.
  • WindEurope, (2020), Wind energy in Europe in 2019, European Statistics Archive. [Online]. https://windeurope.org/aboutind/statistics/european/wind-energy-in-europe-in-2019/, Accessed 13 October 2020.
  • Quilligan, A., O’Connor, A., & Pakrashi, V., (2012), Fragility Analysis of Steel and Concrete Wind Turbine Towers, Engineering Structures, volume 36, pp:270–282.
There are 27 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Muhammet Ensar Yiğit 0000-0003-0161-7144

Muhammet Enes Akpınar 0000-0003-0328-6107

Publication Date April 30, 2021
Published in Issue Year 2021 Issue: 23

Cite

APA Yiğit, M. E., & Akpınar, M. E. (2021). Rüzgar Türbin Kulesi Alternatiflerinin Çok Kriterli Karar Verme Yöntemleri İle Değerlendirilmesi. Avrupa Bilim Ve Teknoloji Dergisi(23), 386-393. https://doi.org/10.31590/ejosat.874796