A Simplified Numerical Model for the Prediction of Wake Interaction in Multiple Wind Turbines

Jong-Hyeon Shin, Jong-Hwi Lee and Se-Myong Chang
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Jong-Hyeon Shin: Department of Mechanical Engineering, Kunsan National University, Gunsan 54150, Korea
Jong-Hwi Lee: Department of Mechanical Engineering, Kunsan National University, Gunsan 54150, Korea
Se-Myong Chang: Department of Mechanical Engineering, Kunsan National University, Gunsan 54150, Korea

Energies, 2019, vol. 12, issue 21, 1-14

Abstract: In the design of wind energy farms, the loss of power should be seriously considered for the second wind turbine located inside the wake region of the first one. The rotation of the first wind-front rotor generates a high-vorticity wake with turbulence, and a suitable model is required in computational fluid dynamics (CFD) to predict the deficit of energy of the second turbine for the given configuration. A simplified numerical model based on the classical momentum theory is proposed in this study for multiple wind turbines, which is proposed with a couple of tuning parameters applied to Reynolds-averaged Navier-Stokes (RANS) analysis, resulting in a remarkable reduction of computational load compared with advanced methods, such as large eddy simulation (LES) where two parameters reflect on axial and rotational wake motion, simply tuned with the wind-tunnel test and its corresponding LES result. As a lumped parameter for the figure of merit, we regard the normalized efficiency on the kinetic power output of computational domain, which should be directed to maximize for the optimization of wind farms. The parameter surface is plotted in a dimensionless form versus intervals between turbines, and a simple correlation is obtained for a given hub height of 70% diameter and a fixed rotational speed tuned from the experimental data in a wide range.

Keywords: wake model; momentum theory; CFD; wind farm; Horns Rev1 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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