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Wind speed variability and wind power potential over Turkey: Case studies for Çanakkale and İstanbul

Author

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  • Arslan, Hilal
  • Baltaci, Hakki
  • Akkoyunlu, Bulent Oktay
  • Karanfil, Salih
  • Tayanc, Mete

Abstract

In this study, variability of wind speed and its effects on power generation for the 1980–2013 period over Turkey was studied. Hourly wind speed data of 335 stations was obtained from Turkish State Meteorological Service and subjected to quality control. 77 station data was found reliable and used in this work. For the 1980–2013 period, highest hourly average wind speed values equal or larger than 3.80 m/s were found in Gökçeada, Çanakkale and Mardin stations located at Aegean, Marmara and Southeastern regions of Turkey. Monthly average wind speed is observed to be the highest in July with a value of 2.22 m/s. As an Automated Weather Observation System (AWOS), highest average wind speed for the 2007–2013 period was found in Çatalca-Radar, İstanbul with a value of 7.08 m/s. Wind power was analyzed by Weibull distribution and seasonal power density analysis of Çanakkale reveals spring, summer and autumn seasonal average power densities as 49.11 W/m2, 51.12 W/m2 and 50.16 W/m2, together with a winter maximum of 81.68 W/m2. According to results, Çatalca was found as the largest wind energy potential in Turkey, not just having the largest wind speed but also having large rural districts for possible wind farm installment.

Suggested Citation

  • Arslan, Hilal & Baltaci, Hakki & Akkoyunlu, Bulent Oktay & Karanfil, Salih & Tayanc, Mete, 2020. "Wind speed variability and wind power potential over Turkey: Case studies for Çanakkale and İstanbul," Renewable Energy, Elsevier, vol. 145(C), pages 1020-1032.
  • Handle: RePEc:eee:renene:v:145:y:2020:i:c:p:1020-1032
    DOI: 10.1016/j.renene.2019.06.128
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    Citations

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    Cited by:

    1. Alizadeh Zolbin, Mahboubeh & Tahouni, Nassim & Panjeshahi, M. Hassan, 2022. "Total site integration considering wind /solar energy with supply/demand variation," Energy, Elsevier, vol. 252(C).
    2. Suzer, Ahmet Esat & Atasoy, Vehbi Emrah & Ekici, Selcuk, 2021. "Developing a holistic simulation approach for parametric techno-economic analysis of wind energy," Energy Policy, Elsevier, vol. 149(C).
    3. Yasemin Ayaz Atalan & Mete Tayanç & Kamil Erkan & Abdulkadir Atalan, 2020. "Development of Nonlinear Optimization Models for Wind Power Plants Using Box-Behnken Design of Experiment: A Case Study for Turkey," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    4. Yücenur, G. Nilay & Ipekçi, Ahmet, 2021. "SWARA/WASPAS methods for a marine current energy plant location selection problem," Renewable Energy, Elsevier, vol. 163(C), pages 1287-1298.
    5. Acaroğlu, Hakan & García Márquez, Fausto Pedro, 2022. "High voltage direct current systems through submarine cables for offshore wind farms: A life-cycle cost analysis with voltage source converters for bulk power transmission," Energy, Elsevier, vol. 249(C).
    6. Pan, Yue & Qin, Jianjun, 2022. "A novel probabilistic modeling framework for wind speed with highlight of extremes under data discrepancy and uncertainty," Applied Energy, Elsevier, vol. 326(C).

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