Micro-siting of wind turbines using navier-stokes solutions coupled with a numerical weather prediction model

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2014

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Ahmet, Gökhan

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High resolution atmospheric flow solutions are obtained with an in-house, parallelized 3 dimensional Navier-Stokes solver, HYP3D coupled with a meso-scale meteorological weather prediction software, WRF, and the wind potential of a specified terrain is assessed based on long term atmospheric flow solutions. Body-fitted grids are employed to discretize the complex terrain of interest in HYP3D. In the study, high resolution (1.5 arcsec) topographical data is used to discretize the specified terrain. In HYP3D solver, the flow field is initialized and the unsteady and spatially varying boundary conditions are continuously updated at the domain boundaries using the data extracted from the WRF solutions in 5 minute time intervals. The unsteady flow solutions and the implementation of the boundary conditions on HYP3D are achieved in a parallel computing environment. The difficulties in coupling the WRF and HYP3D solutions due to the mesh structure and the resolution differences are resolved through two different algorithms. The results are presented as contour plots of velocity fields in time series, and as the Weibull distributions along with wind roses based on integrated data. The velocity fields computed are compared against the met-mast observation data for validation. In the study unsteady Navier-Stokes solutions closely coupled with the WRF solutions on high resolution, terrain fitted grids are successfully obtained, the performance of the in-house solver developed is assessed, and several tools are developed for the micro-siting of wind turbines.

Subject Keywords

Wind turbines., Wind power plants., Winds, Wind power, Computational fluid dynamics.

URI

http://etd.lib.metu.edu.tr/upload/12617818/index.pdf
https://hdl.handle.net/11511/23930

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

G. Ahmet, “Micro-siting of wind turbines using navier-stokes solutions coupled with a numerical weather prediction model,” Ph.D. - Doctoral Program, Middle East Technical University, 2014.