Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: róża wiatrów

Sortuj według:

Ogranicz wyniki do:

Wind rose and modelling of the fate of polynuclear aromatic hydrocarbons in the Central Poland

Gierycz P., Malanowski S. K., Wszelaka-Rylik M., Kacperski W. T., Kowalczyk D., Świetlik R.

Environment Protection Engineering

2016

Vol. 42, nr 4

17--35

The wind rose analysis has been performed for the town of Radom in Central Poland. It was found that West and South-West wind directions significantly dominate in the wind rose, causing PAHs influx from coal power stations. The analysis of the PAHs accumulation in water, soil and bottom sediments based on the fugacity and partition coefficients model has been performed for Domaniów Lake. The results have been compared with the experimental PAHs concentrations in the lake, in- and out-flowing waters as well as in the dust over the lake.

Comparative characterization study of the variability of wind energy potential by wind direction sectors for three coastal sites in Lomé, Accra and Cotonou

Ajavon A. S. A., Salami A. A., Kodjo M. K., Bédja K.-S.

Journal of Power Technologies

2015

Vol. 95, nr 2

134--142

This paper presents the characterization of the distribution of wind speeds across sectors of directions in order to study the variability of wind energy potential on sites in Lomé (Togo), Accra (Ghana) and Cotonou (Benin) in the Gulf of Guinea. To this end, we developed a software application in MATLAB aimed at wind data processing. Each site’s wind speed data collected over a period from January 2000 to December 2012 at a height of 10 m above the ground were divided into eight sectors of direction of 45 degrees each, according to the wind directions measured. Parameters such as K (shape factor) and C (scale factor) of Weibull distributions as well as the skewness and kurtosis coefficients were obtained for each sector. The study analyzes the variations of the statistical parameters computed based on the number of hours during which wind blows in each sector of direction. The results show that the South and South-West sectors are areas of prevailing winds and have higher wind energy potential compared to other sectors in general on the 3 sites considered. The more frequent the wind blows in a sector of direction, the higher the Weibull parameters, while the coefficients of skewness and kurtosis of the distributions of wind speeds show a downward trend for all 3 sites.