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Çok-kriterli Karar Verme Metodu Kullanarak Bandırma Körfezinde Uygun Deniz Üstü Rüzgar Enerji Santral Alanlarının Tespiti

Year 2021, , 123 - 132, 29.04.2021
https://doi.org/10.46387/bjesr.900204

Abstract

Rüzgar enerjisi çevre dostu, karlı ve yenilenebilir bir enerji kaynağıdır. Rüzgar enerjisi yayılımı son yirmi yılda artmaktadır. Bu çalışmada, deniz üstü rüzgar yayılımı potansiyeli olan Bandırma körfezi içindeki en uygun alanın belirlenmesi için çalışılmış ve sonuç olarak buradaki potansiyel deniz üstü güç kapasitesi tahmin
dilmiştir. Bu çalışma, görsel ve hızlı analiz sonuçlarını elde etmek için Coğrafi Bilgi Sistemi ve Çok-Kriterli-Karar-Verme Metodolojisi metodlarını birlikte kullanmaktadır. Bu kapsamda rüzgar hızı, deniz derinliği, kuş göç hatları gibi sekiz standart kriter uygulanarak detaylı bir şekilde Coğrafi Bilgi Sistemi kullanılarak
incelenmektedir. Bandırma'nın deniz trafiği yoğunluğunun yüksek olması nedeniyle uygun bölge seçiminde gemi rotaları önemli ölçüde rol oynarken, askeri bölgelere, haberleşme kablolarına ve turistik alanlara yakınlık uygun bölge seçiminde sonucu etkileyecek derecede değildir. Sonuç olarak, denizüstü rüzgar santrali kurulumu için iki konum uygun olarak bulunmuştur; biri kuzeybatıda, diğeri ise Bandırma körfezinin
kuzey doğusunda, sırasıyla 72 MW ve 48 MW kapasitelidir.

References

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Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method

Year 2021, , 123 - 132, 29.04.2021
https://doi.org/10.46387/bjesr.900204

Abstract

Wind energy is an environmentally friendly, profitable, and renewable energy resource. Wind energy eployment is increasing in the last two decades. In this paper, Bandırma bay which has a potential for offshore wind deployment is studied to determine the most suitable area in it and eventually potential offshore power capacity of the location is estimated. This study combines applications of Geographical Information System and Multi-Criteria- Decision-Making Methodology to obtain fast results supported with visual documentation. In this scope, eight standard criteria such as wind speed, water depth, bird migration lines are applied and
nvestigated in detail by using Geographical Information System. It is found that there is sufficient wind speed t the shallow level of the sea. Consequently, two locations are found to be suitable; one is on the northwest and the other one is on the north east of Bandırma, with capacities of 72 MW and 48 MW, respectively.

References

  • [1] M. Satir, F. Murhpy, K. and McDonnel “Feasibility study on an offshore wind farm in Aegean Sea, Turkey”, Renewable and Sustainable Energy Reviews, pp. 2552-2562, 2018.
  • [2] C. Emeksiz, and B. Demirci “The determination of offshore wind energy potential of Turkey by using novelty hybrid site selection method”, Sustainable Energy Technologies and Assessments, vol. 36, 2019.
  • [3] U. Cali, N. Erdogan, S. Kucuksari and M. Argin. “TECHNO-ECONOMIC analysis of high potential offshore wind farm locations in Turkey”, Energy Strategy Reviews, vol. 22, pp. 325-336, 2018.
  • [4] M. Argin, V. Yerci, N. Erdogan,S. Kucuksari, and U. Cali “Exploring the offshore wind energy potential of Turkey based on multi-criteria site selection”, Energy Strategy Reviews, vol. 23, pp. 33-46, 2019.
  • [5] M S. Genç, M. Gökçek “Evaluation of wind characteristics and energy potential in Kayseri, Turkey”, Journal of Energy Engineering-ASCE, vol. 135(2), pp. 33-43, 2009.
  • [6] M. Gökçek, M S. Genç “Evaluation of electricity generation and energy cost of wind energy conversion systems (WECSs) in Central Turkey”, Applied Energy, vol. 86(12), pp. 2731-2739, 2009.
  • [7] M S. Genç “Economic viability of water pumping systems supplied by wind energy conversion and diesel generator systems in North Central Anatolia, Turkey”, Journal of Energy Engineering, vol. 137(1), pp. 21-35, 2010.
  • [8] M S. Genç, M. Çelik, İ. Karasu “A review on wind energy and wind–hydrogen production in Turkey: A case study of hydrogen production via electrolysis system supplied by wind energy conversion system in Central Anatolian Turkey”, Renewable and sustainable energy reviews, vol. 16(9), pp. 6631-6646, 2012.
  • [9] G. Genç, M. Çelik, M S. Genç “Cost analysis of wind-electrolyzer-fuel cell system for energy demand in Pınarbaşı-Kayseri”, International journal of hydrogen energy, vol. 37(17), pp.12158-12166, 2012.
  • [10] M S. Genç “Determination of the most appropriate site selection of wind power plants based Geographical Information System and Multi-Criteria Decision-Making approach in Develi, Turkey”, International Journal of Sustainable Energy Planning and Management, vol. 30, pp. 97-114, 2021.
  • [11] Global Wind Atlas Map (GWA), 2020. https://globalwindatlas.info/
  • [12] Emodnet Human Activity, 2020. https://emondet.eu/en/human-activities
  • [13] Copernicus Data Sources, CLC 2000. https://land.copernicus.eu/pan-european/corine
  • [14] Birdmap, 2020. https:// birdmap.5dvision.ee/en
  • [15] M. Szurek, J. Blackhowski, A. Nowacha “GIS-based method for wind farm location multi-criteria analysis”, Mining Science, vol. 21, pp. 65-81, 2014.
  • [16] M. Bilgili, A. Yasar, E. Simsek “Offshore wind power development in Europe and its comparison with onshore counterpart”. Renewable and Sustainable Energy, vol. 15, pp. 905-1005, 2011.
  • [17] A. Arrambide, I. zubia, A. Madariaga. “Critical Review of offshore wind turbine energy production and site potential assessment”, Electric Power Systems Research, vol. 167, pp. 39-47, 2019.
  • [18] H. E. Colak, T.Memisoglu, Y. Gercek. “Optimal site selection for solar photovoltaic (PV) power plants using GIS and AH: A case study of Malatya, Turkey”, Renewable Energy, vol. 149, pp.565-576, 2020.
  • [19] F. Ferrari, G. Besio, F. Cassola, A. Mazzino. “Optimized wind and wave energy resource assessment and offshore exploitability in the Mediterranean Sea”. Energy, vol. 190, 2020.
  • [20] M. Deveci, E. Ozcan, R. John. “Offshore wind farms; A fuzzy approach to site selection in a Blach Sea region”. IEEE Conference, College Station, TX, USA, 6-7 February 2020.
  • [21] O. Akdag and C. Yeroglu. “An evaluation of an offshore energy installation for the Black Sea region of Turkey”, GG. Science and Technology, pp. 531-544, 2020.
  • [22] Turkey Tourism Statistics, 2020. https://yigm.ktb.gov.tr/TR-9851/turizm
  • [23] R. Zimmerling, C. Pomeroy, M.V. Entremont, C.M. Francsis. “Canadian estimate of bird mortality due to collisions and direct habitat loss associated with wind turbine developments”. Avian Conservation Ecology, vol. 8:2, pp.10-22, 2013.
  • [24] M. Mahdy, A. Bahaj. “Multicriteria decision analysis for offshore wind energy potential in Egypt”. Renewable Energy, vol. 118, pp.278-289, 2018.
  • [25] I. Arrambide, I. Zubia, A. Madariaga. “Critical review of offshore wind turbine energy production and site potential assessment”, Electric Power Systems Research, vol. 167, pp. 39-47, 2019.
There are 25 citations in total.

Details

Primary Language English
Subjects Energy Systems Engineering (Other)
Journal Section Research Articles
Authors

Fatih Karipoğlu 0000-0002-3314-134X

Samet Öztürk 0000-0002-5969-1534

Mustafa Serdar Genç 0000-0002-6540-620X

Publication Date April 29, 2021
Published in Issue Year 2021

Cite

APA Karipoğlu, F., Öztürk, S., & Genç, M. S. (2021). Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method. Mühendislik Bilimleri Ve Araştırmaları Dergisi, 3(1), 123-132. https://doi.org/10.46387/bjesr.900204
AMA Karipoğlu F, Öztürk S, Genç MS. Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method. Müh.Bil.ve Araş.Dergisi. April 2021;3(1):123-132. doi:10.46387/bjesr.900204
Chicago Karipoğlu, Fatih, Samet Öztürk, and Mustafa Serdar Genç. “Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay Using Multi-Criteria-Decision-Making Method”. Mühendislik Bilimleri Ve Araştırmaları Dergisi 3, no. 1 (April 2021): 123-32. https://doi.org/10.46387/bjesr.900204.
EndNote Karipoğlu F, Öztürk S, Genç MS (April 1, 2021) Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method. Mühendislik Bilimleri ve Araştırmaları Dergisi 3 1 123–132.
IEEE F. Karipoğlu, S. Öztürk, and M. S. Genç, “Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method”, Müh.Bil.ve Araş.Dergisi, vol. 3, no. 1, pp. 123–132, 2021, doi: 10.46387/bjesr.900204.
ISNAD Karipoğlu, Fatih et al. “Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay Using Multi-Criteria-Decision-Making Method”. Mühendislik Bilimleri ve Araştırmaları Dergisi 3/1 (April 2021), 123-132. https://doi.org/10.46387/bjesr.900204.
JAMA Karipoğlu F, Öztürk S, Genç MS. Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method. Müh.Bil.ve Araş.Dergisi. 2021;3:123–132.
MLA Karipoğlu, Fatih et al. “Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay Using Multi-Criteria-Decision-Making Method”. Mühendislik Bilimleri Ve Araştırmaları Dergisi, vol. 3, no. 1, 2021, pp. 123-32, doi:10.46387/bjesr.900204.
Vancouver Karipoğlu F, Öztürk S, Genç MS. Determining Suitable Regions for Potential Offshore Wind Farms in Bandırma Bay using Multi-criteria-Decision-Making Method. Müh.Bil.ve Araş.Dergisi. 2021;3(1):123-32.