IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v145y2020icp1020-1032.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119309620
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.06.128?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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).
    3. 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).
    4. 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).
    5. 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).
    6. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:145:y:2020:i:c:p:1020-1032. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.