Analysis of wind potencial of a micro-region using a model of athmospheric boundary layer

Authors

  • Ramón Molina Valle Universidade Federal de Minas Gerais (UFMG)
  • Gilberto Augusto Amado Moreira Universidade Federal de Minas Gerais (UFMG)
  • Carlos Alexandre Meireles Nascimento Companhia Energética de Minas Gerais – CEMIG.

DOI:

https://doi.org/10.5944/ribim.17.2.42493

Keywords:

Atmospheric boundary layer, Numerical Model, Wind Turbines

Abstract

Brazil stands out on the world scene featuri ng one of the largest wind power on the planet. Construction projects and installation of wind turbines ar e complex and parameters such as sizing and location should be carefully analyzed. The analysis in the field, to define the best locations for installation of this equipment requires a high expenditure of time for measurements and data pro cessing. Because of this, the use of commercial codes for computational fluid dynamic (CFD ) to study the atmospheric boundary layer has been increasingly employed for the analysis of local wind cond itions. This work with the main objective is to use a model of atmospheric boundary layer appl ied to micro-regions to define the best locations to install a wind generator of 10 kW maximum power in the region of Sete Lagoas, near Belo Horiz onte, Minas Gerais, Brazil . To this were used as boundary condition, the com puter program experimental data collected from a meteorological station, installed on site by Companhia Energetica de Minas Gerais - CEMIG, allowing you to find, through the numerical model, the fields of wind speed and direction w ithin the domain of interest, thereby raising the potential of wind and setting the most favorable regions for installing the Wind generator.

Downloads

Download data is not yet available.

Published

2013-10-01

How to Cite

Molina Valle, R., Amado Moreira, G. A., & Meireles Nascimento, C. A. (2013). Analysis of wind potencial of a micro-region using a model of athmospheric boundary layer. Revista Iberoamericana de Ingeniería Mecánica, 17(2), 59–71. https://doi.org/10.5944/ribim.17.2.42493

Issue

Section

Articles

Most read articles by the same author(s)