Abstract. Wind as a resource of renewable energy has obtained an important share of the energy market already. Therefore simulation and prediction of wind speeds is essential for both, for engineers and energy traders. In this paper we analyze the surface wind speed data from three prototypic locations: coastal region (Rotterdam), undulating forest landscape few 100 m above sea level(Kassel), ...

The goal of this paper is to show how to derive the multivariate Weibull probability density function from the multivariate Standard Normal one and to show its applications. Having Weibull distribution parameters and a correlation matrix as input data, the proposal is to obtain a precise multivariate Weibull distribution that can be applied in the analysis and simulation of wind speeds and wind...

A novel Monte Carlo (MC) approach is proposed for the simulation of wind speed samples to assess the wind energy production potential of a site. The Monte Carlo approach is based on historical wind speed data and reserves the effect of autocorrelation and seasonality in wind speed observations. No distributional assumptions are made, and this approach is relatively simple in comparison to simul...

In highly urbanized and energy intensive countries like Singapore all possible avenues for power generation need attention. In this context, rooftop installations of both solar and wind energy are of particular interest for Singapore, especially because of Singapore's condition of land limitation. Decentralized and distributed energy sources such as rooftop wind and solar installations have num...

in this paper, the 10-minutes period measured wind speed data at different heights (10 m, 30 m, and 40 m) are presented for khvaf, which is one of the major counties with high wind potential in khorasan provinces in iran. to the author’s knowledge, there hasn’t been any assessment works in the mentioned site. from the primary evaluation and by determining mean wind speed and also the weibull fu...