Reconstruction of atmospheric flows based on proper orthogonal decomposition method

Sevine, Tansu
The placement of wind turbines in a wind farm, which is called micro-siting, is a crucial task in regard to the maximization of the energy production in a wind farm. The maximum energy production is only possible if all the wind turbines are placed in optimum locations. Although the micro-siting of wind turbines has many aspects to be considered such as wind field analysis, wake effect of the other turbines and accessibility, the wind speed is the most significant parameter. The statistical wind speed distribution over a wind farm is currently reconstructed from a wind field analysis, which is mostly based on statistical analysis of wind field data collected from a meteorological mast and numerical simulations of wind fields over the wind farm. The reconstruction of wind fields is mostly based on an interpolation process. In this study, a novel method based on the Proper Orthogonal Decomposition (POD) of fictitious wind fields is developed for the reconstruction of actual wind fields based on observation data. The fictitious wind fields for different wind sectors (wind direction) are obtained using an open-source Navier-Stokes solver, SU2, on high resolution terrain fitted computational grids. The POD based reconstruction of flow fields is first validated in 2D flow fields. It is then implemented for the reconstruction of wind fields over a wind farm. It is shown that the methodology developed is capable of reconstructing wind fields over wind farms and can effectively be employed for micro-siting of wind turbines. 


Sevine, Tansu; Tuncer, İsmail Hakkı (2017-06-30)
The placement of wind turbines in a wind farm, which is called micro-siting, is a crucial task regarding the maximization of the energy production in a wind farm. In this study, a novel method developed to improve the micro-siting process. The method correlates the atmospheric flow field solutions obtained from CFD, based on Proper Orthogonal Decomposition (POD) along with observation data. POD calculates dominant characteristics of the artificial solutions of the flow field. Then, it reconstructs real flow...
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Wind is one of the most promising renewable energy resources of the future. After years of optimization studies, Horizontal Axis Wind Turbines shine out as the most efficient type and have been the only model used in large scale commercial wind farms. Layout planning plays an important role in getting the most power out of a wind farm as much as turbine blade design. Most important parameter in this planning phase is the inevitable wake generated by rotors and its impact on other wind turbines which results...
Citation Formats
T. Sevine, “Reconstruction of atmospheric flows based on proper orthogonal decomposition method,” M.S. - Master of Science, Middle East Technical University, 2017.