Eventos Anais de eventos
ENCIT 2016
16th Brazilian Congress of Thermal Sciences and Engineering
WIND DATA ANALYSIS AND WAKE MODELING FOR A SINGLE WIND TURBINE ON FLAT TERRAIN
Submission Author:
Leandro Jose Lemes Stival , PR
Co-Authors:
Alexandre Kolodynskie Guetter, Fernando Oliveira de Andrade
Presenter: Leandro Jose Lemes Stival
doi://10.26678/ABCM.ENCIT2016.CIT2016-0143
Abstract
The recent significant increase in wind power potential assessments and energy production is explained by the global availability of wind resource and technology advances with costs that has been falling. Wind energy efficiency depends on the atmospheric processes and turbulence effects at the wind turbine generator(WTG). It is essential to study the efficiency by assessing the effects that wind parameters and wakes will have on the whole system. Hence, a complete assessment of wind resources is crucial to retain full advantage of wind power. This study aims to investigate the efficiency of wind energy generation in two North American Wind Farms, through wind data analysis and wake modelling. The data analyzed are the SCADA data, met mast data and the collected by LiDAR measurements. The wind data analysis was performed trying to identify and determine parameters of importance for the power performance of the wind turbine. The goal of the wake models employed in energy yield prediction software is to represent the turbine induced wind speed deficits and the ratio of restoration to the freestream velocity. The simplified models consider the wake to be consistent and axisymmetric for increasing the solving velocity and are established on the conservation of mass and empirical association of wake decay, such as the model implemented at this work, the PARK model, which considers the radial velocity to be constant inside the wake and expanding radially at the rate of decay constant times downstream distance. The measurements from the LiDAR was compared with the PARK model, which was developed for a single turbine on a flat terrain. This PARK model seemed to over predict most part of the wake in comparison with LiDAR measurements.
Keywords
Wind power, wake modelling, LiDAR, wind analysis
