An investigation of wind power density distribution at location with low and high wind speeds using statistical model

Vladislovas Katinas, Giedrius Gecevicius and Mantas Marciukaitis

Applied Energy, 2018, vol. 218, issue C, 442-451

Abstract: The study represents wind characteristics and power density in the locations with different wind speed conditions. The wind speed data measured at meteorological stations were used for statistical analysis from two locations with high and low wind speeds in Lithuania. It was found that many of the probability density functions of calculation methods allows you to get a fairly reliable results. However, depending on the geographical situation of the area, the height and other factors affect the wind power density indicates that some of the methods are not acceptable. The Weibull shape k and scale c parameters were calculated by using four methods and after the wind characteristics and power density were estimated. Also, the wind parameters extrapolation with the height was carried out. The mean square error, coefficient of determination, chi-square test and relative error were calculated for validation of goodness fit of Weibull parameters. The empirical model was developed for evaluation of monthly mean wind power density based on the measured wind speeds. The proposed simulation model for assessing the wind energy density could be successfully used for the finding the suitable sites for the development of wind energy in the selected locations.

Keywords: Wind power density; Weibull parameters; Statistical methods; Lithuania; Wind energy resources (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (25)

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DOI: 10.1016/j.apenergy.2018.02.163

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