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Software-based wind energy potential assessment: a case study from western Turkey

Yıl 2023, Cilt: 26 Sayı: 1, 303 - 309, 27.03.2023

Fatma Kadriye Düden Örgen Ayça Altıntaş Sezai Yaşar Murat Öztürk Erdem Çiftçi Azim Doğuş Tuncer

https://doi.org/10.2339/politeknik.1158719

Öz

In this research, wind energy potential of a specific region in Western Turkey has been analyzed by using WindPRO software. The analyzed site is located in Ayvacık district of Çanakkale province of Turkey. Two types of wind energy turbines with 3 MW power including Enercon E-101/3000 and Nordex N117/3000 have been selected for the analyses. Weibull distribution has been utilized in the wind energy potential assessment. Also, average wind speed values and prevailing wind directions have been calculated for the selected locations in the analyzed region. The prevailing wind direction was determined for Enercon E-101/3000 and Nordex N117/3000 turbines as NNW and SSE, respectively. Estimated electrical energy generation values for Enercon E-101/3000 and Nordex N117/3000 turbines were obtained between 10177-11925 MWh/year and 9283-10954 MWh/year, respectively. Moreover, shape and scale parameters for each wind directions and annual energy generation values of each location have been calculated within the scope of this work.

Anahtar Kelimeler

Wind energy potential assesment software windPRO western Turkey

Kaynakça

  • [1] Astolfi D., Pandit R., Celesti L., Lombardi A., Terzi L., “SCADA data analysis for long-term wind turbine performance assessment: A case study”, Sustainable Energy Technologies and Assessments, 52: 102357, (2022).
  • [2] Pellegrini M., Guzzini A., Saccani C., “Experimental measurements of the performance of a micro-wind turbine located in an urban area”, Energy Reports, 7: 3922-3934, (2021).
  • [3] Zahedi R., Ghorbani M., Daneshgar S., Gitifar S., Qezelbigloo S., “Potential measurement of Iran's western regional wind energy using GIS”, Journal of Cleaner Production, 330: 129883, (2022).
  • [4] Kose R., Ozgur M. A., Erbas O., Tugcu A., “The analysis of wind data and wind energy potential in Kutahya, Turkey”, Renewable and Sustainable Energy Reviews, 8(3): 277-288, (2004).
  • [5] Ozerdem B., Turkeli H. M., “Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkey”, Renewable Energy, 30(10): 1623-1633, (2005).
  • [6] Rogers T., Ashtine M., Koon R. K., Atherley-Ikechi M., “Onshore wind energy potential for Small Island Developing States: Findings and recommendations from Barbados”, Energy for Sustainable Development, 52: 116-127, (2019).
  • [7] Akpinar E. K., Akpinar S., “Determination of the wind energy potential for Maden-Elazig, Turkey”, Energy Conversion and Management, 45(18-19): 2901-2914, (2004).
  • [8] Argin M., Yerci V., Erdogan N., Kucuksari S., Cali U., “Exploring the offshore wind energy potential of Turkey based on multi-criteria site selection”, Energy Strategy Reviews, 23: 33-46, (2019).
  • [9] Ozerdem B., Ozer S., Tosun M., “Feasibility study of wind farms: A case study for Izmir, Turkey”, Journal of Wind Engineering and Industrial Aerodynamics, 94(10): 725-743, (2006).
  • [10] Dabar O. A., Awaleh M. O., Kirk-Davidoff D., Olauson J., Söder L., Awaleh S. I., “Wind resource assessment and economic analysis for electricity generation in three locations of the Republic of Djibouti”, Energy, 185: 884-894, (2019).
  • [11] Akkaya M., Gültekin A., Sabancı K. , Balcı S., Sağlam H., “Analysis and applicability of Mersin region wind speed data with artificial neural networks”, Nevşehir Bilim ve Teknoloji Dergisi, 9: 39-51, (2020).
  • [12] Guo Y., Wang H., Lian J., “Review of integrated installation technologies for offshore wind turbines: Current progress and future development trends”, Energy Conversion and Management, 255: 115319, (2022).
  • [13] Heragy M., Kono T., Kiwata T., “Investigating the effects of wind concentrator on power performance improvement of crossflow wind türbine”, Energy Conversion and Management, 255: 115326, (2022).
  • [14] Jahani K., Langlois R. G., Afagh F. F., “Structural dynamics of offshore Wind Turbines: A review”, Ocean Engineering, 251: 111136, (2022).
  • [15] Pichandi C., Pitchandi P., Kumar S., Sudharsan N. M., “Improving the performance of a combined horizontal and vertical axis wind turbine for a specific terrain using CFD,” Materials Today: Proceedings, (2022).
  • [16] Muheisen A. H., Yass M. A., Irthiea I. K., Enhancement of horizontal wind turbine blade performance using multiple airfoils sections and fences. Journal of King Saud University-Engineering Sciences, (article in press).
  • [17] 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, November, (2019).
  • [18] Bulut Y., Açıkkalp E., “Rüzgar enerjisi potansiyelinin hesaplanmasında parametre tahmin yöntemlerinin incelenmesi”, Gazi University Journal of Science Part C: Design and Technology, 1(2): 49-54, (2013).
  • [19] “Wind Energy Potential Atlas”, General Directorate of Energy Affairs, Ministry of Energy and Natural Resources of Turkey, (2022). https://repa.enerji.gov.tr/REPA/

Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey

Yıl 2023, Cilt: 26 Sayı: 1, 303 - 309, 27.03.2023

Fatma Kadriye Düden Örgen Ayça Altıntaş Sezai Yaşar Murat Öztürk Erdem Çiftçi Azim Doğuş Tuncer

https://doi.org/10.2339/politeknik.1158719

Öz

In this research, wind energy potential of a specific region in Western Turkey has been analyzed by using WindPRO software. The analyzed site is located in Ayvacık district of Çanakkale province of Turkey. Two types of wind energy turbines with 3 MW power including Enercon E-101/3000 and Nordex N117/3000 have been selected for the analyses. Weibull distribution has been utilized in the wind energy potential assessment. Also, average wind speed values and prevailing wind directions have been calculated for the selected locations in the analyzed region. The prevailing wind direction was determined for Enercon E-101/3000 and Nordex N117/3000 turbines as NNW and SSE, respectively. Estimated electrical energy generation values for Enercon E-101/3000 and Nordex N117/3000 turbines were obtained between 10177-11925 MWh/year and 9283-10954 MWh/year, respectively. Moreover, shape and scale parameters for each wind directions and annual energy generation values of each location have been calculated within the scope of this work.

Anahtar Kelimeler

Wind energy potential assesment software windPRO western Turkey

Kaynakça

  • [1] Astolfi D., Pandit R., Celesti L., Lombardi A., Terzi L., “SCADA data analysis for long-term wind turbine performance assessment: A case study”, Sustainable Energy Technologies and Assessments, 52: 102357, (2022).
  • [2] Pellegrini M., Guzzini A., Saccani C., “Experimental measurements of the performance of a micro-wind turbine located in an urban area”, Energy Reports, 7: 3922-3934, (2021).
  • [3] Zahedi R., Ghorbani M., Daneshgar S., Gitifar S., Qezelbigloo S., “Potential measurement of Iran's western regional wind energy using GIS”, Journal of Cleaner Production, 330: 129883, (2022).
  • [4] Kose R., Ozgur M. A., Erbas O., Tugcu A., “The analysis of wind data and wind energy potential in Kutahya, Turkey”, Renewable and Sustainable Energy Reviews, 8(3): 277-288, (2004).
  • [5] Ozerdem B., Turkeli H. M., “Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkey”, Renewable Energy, 30(10): 1623-1633, (2005).
  • [6] Rogers T., Ashtine M., Koon R. K., Atherley-Ikechi M., “Onshore wind energy potential for Small Island Developing States: Findings and recommendations from Barbados”, Energy for Sustainable Development, 52: 116-127, (2019).
  • [7] Akpinar E. K., Akpinar S., “Determination of the wind energy potential for Maden-Elazig, Turkey”, Energy Conversion and Management, 45(18-19): 2901-2914, (2004).
  • [8] Argin M., Yerci V., Erdogan N., Kucuksari S., Cali U., “Exploring the offshore wind energy potential of Turkey based on multi-criteria site selection”, Energy Strategy Reviews, 23: 33-46, (2019).
  • [9] Ozerdem B., Ozer S., Tosun M., “Feasibility study of wind farms: A case study for Izmir, Turkey”, Journal of Wind Engineering and Industrial Aerodynamics, 94(10): 725-743, (2006).
  • [10] Dabar O. A., Awaleh M. O., Kirk-Davidoff D., Olauson J., Söder L., Awaleh S. I., “Wind resource assessment and economic analysis for electricity generation in three locations of the Republic of Djibouti”, Energy, 185: 884-894, (2019).
  • [11] Akkaya M., Gültekin A., Sabancı K. , Balcı S., Sağlam H., “Analysis and applicability of Mersin region wind speed data with artificial neural networks”, Nevşehir Bilim ve Teknoloji Dergisi, 9: 39-51, (2020).
  • [12] Guo Y., Wang H., Lian J., “Review of integrated installation technologies for offshore wind turbines: Current progress and future development trends”, Energy Conversion and Management, 255: 115319, (2022).
  • [13] Heragy M., Kono T., Kiwata T., “Investigating the effects of wind concentrator on power performance improvement of crossflow wind türbine”, Energy Conversion and Management, 255: 115326, (2022).
  • [14] Jahani K., Langlois R. G., Afagh F. F., “Structural dynamics of offshore Wind Turbines: A review”, Ocean Engineering, 251: 111136, (2022).
  • [15] Pichandi C., Pitchandi P., Kumar S., Sudharsan N. M., “Improving the performance of a combined horizontal and vertical axis wind turbine for a specific terrain using CFD,” Materials Today: Proceedings, (2022).
  • [16] Muheisen A. H., Yass M. A., Irthiea I. K., Enhancement of horizontal wind turbine blade performance using multiple airfoils sections and fences. Journal of King Saud University-Engineering Sciences, (article in press).
  • [17] 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, November, (2019).
  • [18] Bulut Y., Açıkkalp E., “Rüzgar enerjisi potansiyelinin hesaplanmasında parametre tahmin yöntemlerinin incelenmesi”, Gazi University Journal of Science Part C: Design and Technology, 1(2): 49-54, (2013).
  • [19] “Wind Energy Potential Atlas”, General Directorate of Energy Affairs, Ministry of Energy and Natural Resources of Turkey, (2022). https://repa.enerji.gov.tr/REPA/
Toplam 19 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Fatma Kadriye Düden Örgen 0000-0002-8911-1641

Ayça Altıntaş 0000-0003-1578-1754

Sezai Yaşar 0000-0002-4567-1604

Murat Öztürk 0000-0002-0668-8075

Erdem Çiftçi 0000-0003-2493-5962

Azim Doğuş Tuncer 0000-0002-8098-6417

Yayımlanma Tarihi 27 Mart 2023
Gönderilme Tarihi 7 Ağustos 2022
Yayımlandığı Sayı Yıl 2023 Cilt: 26 Sayı: 1

Kaynak Göster

APA Örgen, F. K. D., Altıntaş, A., Yaşar, S., Öztürk, M., vd. (2023). Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey. Politeknik Dergisi, 26(1), 303-309. https://doi.org/10.2339/politeknik.1158719
AMA Örgen FKD, Altıntaş A, Yaşar S, Öztürk M, Çiftçi E, Tuncer AD. Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey. Politeknik Dergisi. Mart 2023;26(1):303-309. doi:10.2339/politeknik.1158719
Chicago Örgen, Fatma Kadriye Düden, Ayça Altıntaş, Sezai Yaşar, Murat Öztürk, Erdem Çiftçi, ve Azim Doğuş Tuncer. “Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey”. Politeknik Dergisi 26, sy. 1 (Mart 2023): 303-9. https://doi.org/10.2339/politeknik.1158719.
EndNote Örgen FKD, Altıntaş A, Yaşar S, Öztürk M, Çiftçi E, Tuncer AD (01 Mart 2023) Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey. Politeknik Dergisi 26 1 303–309.
IEEE F. K. D. Örgen, A. Altıntaş, S. Yaşar, M. Öztürk, E. Çiftçi, ve A. D. Tuncer, “Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey”, Politeknik Dergisi, c. 26, sy. 1, ss. 303–309, 2023, doi: 10.2339/politeknik.1158719.
ISNAD Örgen, Fatma Kadriye Düden vd. “Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey”. Politeknik Dergisi 26/1 (Mart 2023), 303-309. https://doi.org/10.2339/politeknik.1158719.
JAMA Örgen FKD, Altıntaş A, Yaşar S, Öztürk M, Çiftçi E, Tuncer AD. Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey. Politeknik Dergisi. 2023;26:303–309.
MLA Örgen, Fatma Kadriye Düden vd. “Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey”. Politeknik Dergisi, c. 26, sy. 1, 2023, ss. 303-9, doi:10.2339/politeknik.1158719.
Vancouver Örgen FKD, Altıntaş A, Yaşar S, Öztürk M, Çiftçi E, Tuncer AD. Software-Based Wind Energy Potential Assessment: A Case Study from Western Turkey. Politeknik Dergisi. 2023;26(1):303-9.
 
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