Selection of the Main Parameters for Long Term Prediction of the Atmospheric Boundary Layer in Romanian Wind Farms

摘要

Romania has the highest wind potential from Southeast Europe, representing nowadays more than 14,000 MW. In January 2017, in Romania have been registered 3025 MW produced energy by the wind power farms, representing investments over 5 billion euros. It represents more than 24% of the total delivered electric energy. The analyzed area presented in this paper is located in the south part of Moldavia, being considered until the altitude of 600 m. Firstly a database was realized of the main measured parameters with three masts, situated at approx 20 km distance each other. Around ten parameters of the main environmental data, for more than one year, were registered and completed with measurements from other five meteorological stations. Based on this database, the initial conditions for numerical modeling of the vertical wind distribution were established. In the beginning, some theoretical aspects concerning the influence of the Boundary Layer separation on air velocity distribution are mentioned. For this domain an altimetry model was established. At the beginning, an average value of roughness was considered. As a second step for modeling, based on the local conditions, the effective roughness was estimated and some corrections were made. In these conditions supplementary parameters are necessary to evaluate the turbulence. The air density, pressure, and temperature, also registered, have an essential role in the proper evaluation of the wind velocity. It represents the principal factor affecting the functioning of the wind turbines. The numerical model takes into account the database of the measured parameters and the corrections made due to the variable roughness. It is established a Long Term Prediction for the vertical distribution of the air velocity, and was estimated the wind farm efficiency. Finally, some numerical results, conclusions, and references are presented.