000			01640nab a22002897 4500
001			H620.91 DEW
003			AR-sfUTN
008			190909b xx |||p|r|||| 00| 0 spa d
040			_cAR-sfUTN
080			_aH620.91 DEW
100			_aWinkler, W.
700			_aStrack, M.
700			_aWesterhellweg, A.
245			_aNormierung und Bewertung von Winddaten und Energieerträgen von Windparks
336			_2rdacontent _atexto _btxt
337			_2rdamedia _asin mediación _bn
338			_2rdacarrier _avolumen _bnc
505			_aWind data and energy yields are converted (standardised) to long-term periods by suitable methods. Long-term data suitable for the correlation of wind measurement data are data of meteorological stations and "geostrophic" wind data. Energy yields of wind turbines already installed are usually standardised in Germany by means of so-called wind indices in order to calculate the long-term average yield. The following article mainly deals with the selection of suitable long-term data and is an update and extension of [1]. The article concentrates on the wind indices used most frequently in Germany. With regard to the applicability of wind indices there are significant parallels to the global usability of longterm wind data as far as the correction and selection of the data are concerned.
650			_aWIND ENERGY
650			_aWIND MEASUREMENT DATA
650			_aMETEOROLOGICAL STATIONS
650			_aGEOSTROPHIC WIND DATA
650			_aWIND TURBINES
773			_tDewi Magazin _wH620.91 DEW _nS.T.:H620.91 DEW PP0374 _g(nro. 23, Ago. 2003), p. 76-84
942			_cAN
999			_c22596 _d22596