Rüzgar Türbinlerinin Yaban Hayatına Etkilerinin İncelenmesi
Yıl 2021,
Cilt: 24 Sayı: 3, 953 - 962, 01.09.2021
Emine Yağiz Gürbüz
,
Ayça Altıntaş
,
Berk Sürücü
,
Azim Doğuş Tuncer
Öz
Yenilenebilir enerji kaynakları, zararlı emisyonlar açığa çıkarmadığı için temiz ve sürdürülebilir niteliktedir. Ancak bu kaynakların kullanımı farklı çevresel etkilere sahiptir. Bu çalışmada, rüzgar türbinlerinin çevresel etkileri incelenmiştir. Aynı zamanda açık deniz rüzgar türbinlerinin de özellikle kuşlar açısından tehlikeleri araştırılmıştır. Rüzgar türbinlerinin yol açtığı gürültü etkisi, estetik ve elektromanyetik etkiler ile birlikte yaban hayatına olan etkisi incelenerek tartışılmıştır. Yaban hayatına olan etkileri kuşlar, yarasalar ve arılar olmak üzere üç kısımda açıklanmıştır. Yaban hayatın rüzgar türbinlerinden etkilenmelerinin minimum düzeyde sınırlandırması için yanıp sönen ışığın sürekli ışığa göre tercih edilmesi gerektiği ve sürekli ışık gerekiyorsa kırmızı ışığın uygulanması gerektiği bulunmuştur. Çalışmanın son bölümünde, kuşlar ve yarasalar gibi ekosistemin önemli parçaları olan canlıların rüzgar türbinleri vasıtasıyla ölümlerini önleyebilmek amacıyla ses ve ışık uyarıcıları modifikasyonlarını içeren bir prototip tasarlanmış, imal edilmiş ve sunulmuştur.
Destekleyen Kurum
TÜBİTAK
Proje Numarası
2209-A 1919B011902278
Teşekkür
Bu çalışma TÜBİTAK 2209-A 1919B011902278 numaralı proje ile desteklenmektedir.
Kaynakça
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Investigation of the Impacts of Wind Turbines on Wildlife
Yıl 2021,
Cilt: 24 Sayı: 3, 953 - 962, 01.09.2021
Emine Yağiz Gürbüz
,
Ayça Altıntaş
,
Berk Sürücü
,
Azim Doğuş Tuncer
Öz
Renewable energy sources are clean and sustainable also they do not emit harmful emissions. However, usage of these resources has different environmental impacts. In this study, the environmental effects of wind turbines are examined. At the same time, the dangers of offshore wind turbines, especially for birds, have been investigated. The effect of noise caused by wind turbines, together with aesthetic and electromagnetic effects on wildlife have been examined and discussed. Their impact on wildlife is described in three parts: birds, bats and bees. It is found that flashing light should be preferred over continuous light in order to minimise the effects of wildlife on wind turbines, and red light should be applied if continuous light is required. In the final part of the study, a prototype containing modifications of sound and light stimulators is designed, manufactured and presented in order to prevent the death of living things that are important parts of the ecosystem, such as birds and bats, by means of wind turbines.
Proje Numarası
2209-A 1919B011902278
Kaynakça
- [1] Khanlari A., Sözen A., Şirin C., Tuncer A.D., Gungor A., “Performance enhancement of a greenhouse dryer: Analysis of a cost-effective alternative solar air heater”, Journal of Cleaner Production, 251: 119672, (2020)
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- [3] Khanlari A., Sözen A., Afshari F., Şirin C., Tuncer A.D., Gungor A., “Drying municipal sewage sludge with v-groove triple-pass and quadruple-pass solar air heaters along with testing of a solar absorber drying chamber”, Science of The Total Environment, 709: 136198, (2020)
- [4] Kılıç B., “Determination of wind dissipation maps and wind energy potential in Burdur province of Turkey using geographic information system (GIS)”, Sustainable Energy Technologies and Assessments, 36: 100555, (2019)
- [5] Emeksiz C., Demirci B., “The determination of offshore wind energy potential of Turkey by using novelty hybrid site selection method”, Sustainable Energy Technologies and Assessments, 36: 100562, (2019)
- [6] Akdağ S. A., Güler Ö., “Alternative Moment Method for wind energy potential and turbine energy output estimation”, Renewable Energy, 120: 69–77,(2018)
- [7] Wang H., Ke S. T., Wang T.G., Zhu S.Y., “Typhoon-induced vibration response and the working mechanism of large wind turbine considering multi-stage effects”, Renewable Energy, 153: 740-758,(2020)
- [8] Zhao Y., Pan J., Huang Z., Miao Y., Jiang J., Wang Z., “Analysis of vibration monitoring data of an onshore wind turbine under different operational conditions”, Engineering Structures, 205: 110071,(2020)
- [9] Lee H., Lee D.J., “Low Reynolds number effects on aerodynamic loads of a small scale wind türbine”, Renewable Energy, 154: 1283-1293,(2020)
- [10] Sedighi H., Akbarzadeh P., Salavatipour A., “Aerodynamic performance enhancement of horizontal axis wind turbines by dimples on blades: Numerical investigation”, Energy, 195:117056, (2020)
- [11] Jiang Y., Zhao P., Stoesser T., Wang K., Zou L., “Experimental and numerical investigation of twin vertical axis wind turbines with a deflector”, Energy Conversion and Management, 209: 112588, (2020)
- [12] Usta I., Arik I., Yenilmez I., Kantar Y. M., “A new estimation approach based on moments for estimating Weibull parameters in wind power applications”, Energy Conversion and Management, 164: 570–578, (2018)
- [13] Ozay C., Celiktas M. S., “Statistical analysis of wind speed using two-parameter Weibull distribution in Alaçatı region”, Energy Conversion and Management, 121:49–54,(2016)
- [14] Khanlari A., Sözen A., Polat F., Şirin C., Düden Örgen F.K., Tuncer A.D., Güngör A., “Statistical analysis of the wind energy potential of Western Mediterranean Region, Turkey”, 2nd International Conference on Technology and Science, Burdur, Turkey, (2019)
- [15] Celik A.N., “A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey”, Renewable Energy, 29(4): 593–604, (2004)
- [16] Khanlari A., Tuncer A.D., Düden Örgen F.K., Çelebi C., Aydemir U., Güngör A., “Investigation of the wind energy potential of Gallipoli Peninsula”, New Horizons in Techno-Science, 99-105, Akademisyen Publishing, Ankara, Turkey.
- [17] Jahangir H., Golkar M.A., Alhameli F., Mazouz A., Ahmadian A., Elkamel A., “Short-term wind speed forecasting framework based on stacked denoising auto-encoders with rough ANN”, Sustainable Energy Technologies and Assessments, 38: 100601,(2020)
- [18] Demolli H., Dokuz A.S., Ecemis A., Gokcek M., “Wind power forecasting based on daily wind speed data using machine learning algorithms”, Energy Conversion and Management, 198: 111823,(2019)
- [19] Işık A.H., Düden Örgen F.K., Şirin C., Tuncer A.D., Güngör A., “Prediction of wind blowing durations of Eastern Turkey with machine learning for integration of renewable energy and organic farming‐stock raising”, Tecnho-Science, 2: 47-53, (2019)
- [20] Yin H., Dong Z., Chen Y., Ge J., Lai L. L., Vaccaro A., Meng A., “An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization”, Energy Conversion and Management, 150:108–121,(2017)
- [21] Zagubień A., Wolniewicz K., “The impact of supporting tower on wind turbine noise emission”, Applied Acoustics, 155: 260–270,(2019)
- [22] Alamir M.A., Hansen K.L., Zajamsek B., Catcheside P., “Subjective responses to wind farm noise: A review of laboratory listening test methods”, Renewable and Sustainable Energy Reviews, 114: 109317, (2019)
- [23] Zhu W.J., Shen W.Z., Barlas E., Bertagnolio F., Sørensen J.N., “Wind turbine noise generation and propagation modeling at DTU Wind Energy:A review”, Renewable and Sustainable Energy Reviews, 88: 133–150,(2018)
- [24] Liu W.Y., “A review on wind turbine noise mechanism and de-noising techniques”, Renewable Energy, 108: 311–320,(2017)
- [25] Oerlemans S, Sijtsma P, López BM., “Location and quantification of noise sources on a wind türbine”, Journal of Sound and Vibration, 299: 869-883, (2007)
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- [27] Deshmukh S., Bhattacharya S., Jain A., Paul A.R., “Wind turbine noise and its mitigation techniques: A review”, Energy Procedia, 160, 633–640, (2019)
- [28] Fairley P., “Wind power for pennies”, Technol Rev, July/August:40–5, (2002)
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