Application of statistical techniques to wind characteristics at potential wind energy-conversion sites. Final report, October 1, 1978-September 30, 1979

Technical Report · Thu May 01 04:00:00 EDT 1980

DOI:https://doi.org/10.2172/6577370· OSTI ID:6577370

Corotis, R. B.

The distribution for the magnitude of the vector sum of two orthogonal horizontal wind velocity components is often modelled by the Rayleigh, which is derived assuming that the components are independent, identically distributed, zero-mean, Gaussian random variables; the probability density function for a more realistic case where the two components are correlated and not equal in variance is derived. It is found that the derived distribution is adequately modelled by the Rayleigh distribution. A 24-hour record of 20-second average wind speed was collected to assess the effect of sampling rate and averaging time on computed wind speed means and variances, autocorrelation, and run duration. Definite effects on autocorrelation and run duration due to averaging time and sampling rate, respectively, are observed. An approximate procedure is developed to simulate the time sequence of wind speed at a single site; the procedure uses a Weibull distribution with conditional parameters updated each hour as a function of the previously simulated value and the autocorrelation.

• Research Organization: Northwestern Univ., Evanston, IL (USA). Dept. of Civil Engineering
• Sponsoring Organization: USDOE
• DOE Contract Number: AS06-76ET20283
• OSTI ID: 6577370
• Report Number(s): DOE/ET/20283-2
• Country of Publication: United States
• Language: English

Related Subjects

17 WIND ENERGY
170100 -- Wind Energy-- Resources & Availability (Climatology)
170604* -- Wind Energy Engineering-- Site Characteristics
AVAILABILITY
ENERGY SOURCES
MATHEMATICAL MODELS
METEOROLOGY
MONITORING
POWER
RENEWABLE ENERGY SOURCES
RESOURCE ASSESSMENT
STATISTICAL MODELS
TOPOGRAPHY
WIND POWER