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COBEM 2023

27th International Congress of Mechanical Engineering

LARGE EDDY SIMULATION OF THE ATMOSPHERIC FLOW AROUND WIND TURBINES WITH THE USE OF AN IMMERSED BOUNDARY METHOD

Submission Author: Leandro Jose Lemes Stival , PR
Co-Authors: Leandro Jose Lemes Stival, João Marcelo Vedovotto, Fernando Oliveira de Andrade, Aldemir Ap Cavalini Jr
Presenter: Leandro Jose Lemes Stival

doi://10.26678/ABCM.COBEM2023.COB2023-0083

 

Abstract

The wind energy has gained visibility in terms of progress and potential, especially in Brazil. The country has reached 21.5 GW of installed capacity in 2022 and already occupies the sixth position in the global ranking of onshore wind energy production. Besides that, the country has an impressive potential for offshore wind energy that easily exceeds 700 GWs. In this context, scientific research involving wind energy has shown significant progress, particularly the development of computational fluid dynamics coupled with approaches that fully resolve the wind turbine. The present study aims to apply Large Eddy Simulation (LES) along with the Immersed Boundary Method (IB) to provide crucial spatial and temporal information of the flow around selected wind turbines by performing analyzes and discussing the following: (i) wind turbine generated wakes and their effects, (ii) interactions between the wind and turbine in terms of power generation, and (iii) wake effects for back to back turbines related to energy production efficiency. The numerical framework used in the simulations performs LES under a Cartesian block-structured mesh that is dynamically refined via an adaptive mesh refinement (AMR) to increase accuracy and reduce computational costs. The analysis are performed based on a stand-alone full-scale NREL 5 MW wind turbine. The results are validated against the data provided in a cooperation with the University of British Columbia, and power generation from the NREL report. From a 5MW NREL, it is presented lower recovery velocities of MFSim around the hub height centerline in the near wake compared to other profiles, which could be attributed to the simplification blade resolving geometry applied in MARBLLES and SOWFA. Despite that, most results presented differences lower than 10\% among the profiles. Also the power generation is validated with NREL experimental results with a difference of around 3.5\%. Meanwhile, the back to back scenario demonstrated that the waked turbine produces a quicker recovery than the upstream wind turbine. However, it also indicates that the power performance may decrease by 30\% in the downstream turbine. Therefore, this study is an innovative numerical approach as a tool to enhance the design and operation of wind farms, additionally in the current scenario where the wind power has reached in Brazil.

Keywords

wind turbine, wake effect, Computational Fluid Dynamics, Large Eddy Simulation, Immersed Boundary Method

 

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