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Climatic conditions for operation of wind turbines in Hungary

Author

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  • Tar, Károly
  • Farkas, István
  • Rózsavölgyi, Kornél

Abstract

According to wind-climatic requirement of wind farms wind speed should exceed the so called cut-in speed. If this inequality is realized then regarding the wind-climatic features of Hungary the following conditions may occur: the wind turbine is operating with high probability, energy is generated; it is working in a regulated mode with low probability; it is not working with very low probability. Therefore in terms of continuous energy production by wind one question arises: are there any temporal and/or orographic shifts in different heights compared to the wind-climatic condition mentioned above. In this paper this question is analyzed on the basis of seven Hungarian meteorological stations that have hourly measured wind speed data considering the period between 1991 and 2000. The probability of wind speeds exceeding 3 m/s, statistics of wind speed intervals higher and lower than 3 m/s and statistics of average hourly wind speed intervals higher than 3 m/s were analyzed at the heights of 10, 30 and 60 m. A statistical parameter that is proportional to the average specific wind power of a day in a time period was defined and, its connection to the average length of those intervals that have higher or equal hourly average wind speeds more than 3 m/s in a given month was investigated. With the help of such parameters the value of monthly average specific wind power can be estimated.

Suggested Citation

  • Tar, Károly & Farkas, István & Rózsavölgyi, Kornél, 2011. "Climatic conditions for operation of wind turbines in Hungary," Renewable Energy, Elsevier, vol. 36(2), pages 510-518.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:2:p:510-518
    DOI: 10.1016/j.renene.2010.06.034
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    References listed on IDEAS

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    1. Tar, Károly, 2008. "Some statistical characteristics of monthly average wind speed at various heights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1712-1724, August.
    2. Tar, Károly, 2008. "Energetic characterization of near surface windfield in Hungary," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 250-264, January.
    3. Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: Introduction and statistical analysis," Renewable Energy, Elsevier, vol. 33(6), pages 1237-1250.
    4. Hrayshat, Eyad S., 2007. "Wind resource assessment of the Jordanian southern region," Renewable Energy, Elsevier, vol. 32(11), pages 1948-1960.
    5. Ahmed Shata, A.S. & Hanitsch, R., 2006. "Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt," Renewable Energy, Elsevier, vol. 31(8), pages 1183-1202.
    6. Radics, Kornélia & Bartholy, Judit, 2008. "Estimating and modelling the wind resource of Hungary," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 874-882, April.
    7. Cellura, M. & Cirrincione, G. & Marvuglia, A. & Miraoui, A., 2008. "Wind speed spatial estimation for energy planning in Sicily: A neural kriging application," Renewable Energy, Elsevier, vol. 33(6), pages 1251-1266.
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    1. Hanslian, David & Hošek, Jiří, 2015. "Combining the VAS 3D interpolation method and Wind Atlas methodology to produce a high-resolution wind resource map for the Czech Republic," Renewable Energy, Elsevier, vol. 77(C), pages 291-299.

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