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

Cited By: 1

https://izlik.org/JA42KL95TE

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

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

https://izlik.org/JA42KL95TE

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/