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Energetic characterization of near surface windfield in Hungary

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  • Tar, Károly

Abstract

The article, which is a segment of a complex wind energy examination, uses statistical methods to analyse the daily specific wind power of a month in the period between 1991 and 2000 measured on seven Hungarian meteorological stations. The properties of monthly average specific wind power can be examined by definite integral (area under the curve) of an approximation function fitted on the hourly average of the cubes of wind speed. We only discuss certain properties of the approximation function here that may offer implications about the daily course of wind energy. Thus we outline a statistical stochastic model, which could be utilized by energetic systems management in producing electricity from wind energy.

Suggested Citation

  • Tar, Károly, 2008. "Energetic characterization of near surface windfield in Hungary," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 250-264, January.
    • Handle: RePEc:eee:rensus:v:12:y:2008:i:1:p:250-264
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    Cited by:

    1. 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.
    2. Tar, Károly & Szegedi, Sándor, 2011. "A statistical model for estimating electricity produced by wind energy," Renewable Energy, Elsevier, vol. 36(2), pages 823-828.

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