Extrapolation methods comparison for wind energy purpose

Abstract

Studies of International Agency for Renewable Energies (IRENA), conducted in 2014 indicated that the production of energy from renewable sources such as hydro, wind and solar, has become financially competitive with the production of energy from fossil fuels. Wind energy is a renewable source of energy that currently has viable technology to develop energy generation projects in large scale. For success of such projects should be substantially minimized the uncertainties associated with the project, and to this end, wind speed data used should use methods that minimize errors in processing. This study aims to compare three methods of extrapolation of vertical profiles of wind speed in order to evaluate which of them has the slightest error compared with the measured data and thus get less uncertainty. At work were determined values of Weibull distribution parameter, c and k, for the extrapolated data and measured values. After comparing the curves, were calculated errors with respect to the curve of the collected data by Root Mean Square Error (RMSE), also was performed an analysis of the wind power density.