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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Technological improvements on wind energy systems with governmental supports have increased the penetration level of wind power into the grid in recent years. The high level of penetration forces the wind turbines stay connected to the grid during the disturbances in order to enhance system stability. Moreover, power system operators must revise their grid codes in parallel with these developments. This work is devoted to the modeling of variable speed wind turbines and the investigation of fault ride troug...
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Wind Resource Assessment studies have become remarkable research tool to determine the possible Wind Farm locations in last two decades. Wind Farm Modeling is essential to pinpoint the wind turbines in selected region by simulating the possible layout designs of Wind Farm in advance. These studies provide improvements in cost efficiency and Annual Energy Production with the aid of Computational Fluid Dynamics (CFD). In this study, the methodologies of Wind Resource Assessment and Wind Farm Modeling are exam...
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A dataset of wind tunnel power and wake flow measurements on a setup of three aligned model wind turbines is presented. The power outputs of the three turbines are in good agreement with measurements from a full-scale wind farm of similar inter-turbine spacing. A comparison of the wake flow behind the first row and the second row shows a significantly higher mean velocity loss behind the second row justifying a further power drop from the second to the third row turbine. Curtailing the front row turbine to ...
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Increased interest in renewable energy in the world has lead to research on wind turbines at a great pace. However, these turbines have come with a noise problem. The noise source of wind turbines is primarily aerodynamic noise highly related to complex, three dimensional, unsteady flow fields around them. Therefore, determination of these sources requires successful, accurate, turbulent flow solutions. In addition, because acoustic waves are non-dispersive and non-dissipative, such solutions must be carrie...
Citation Formats
T. Sevine, “Reconstruction of atmospheric flows based on proper orthogonal decomposition method,” M.S. - Master of Science, Middle East Technical University, 2017.