New Actuator Disk Model for the Analysis of Wind Turbines Wake Interaction with the Ground

Document Type : Regular Article

Authors

1 EPST Centre De Développement Des Enregies Renouvelables, CDER, BP 62 Route de l'Observatoire, Bouzareah, 16340, Alger, Algeria

2 Thermodynamics and Energetical Systems Laboratory, Faculty of Physics, USTHB, B.P 32 El Alia, 16111 Bab Ezzouar-Algiers, Algeria

3 DynFluid, ENSAM, 151 bvd L’Hopital; 75013 Paris France

Abstract

Wake models based on Actuator Disk theory are usually applied to optimize the wind farm layouts and improve their overall efficiency and expected AEP. Despite the effectiveness of the existing models, most Actuator Disk approaches are based on the flow axisymmetric assumption, without considering the ground effect on the wake behavior. However, it has been shown that the mast’s height, or distance from the wind turbine to the ground, has an influence on the wake expansion on both hub’s side and at downstream of the wind turbine. Therefore, in this study, a hybrid CFD-BEM-Actuator Disk approach is developed to address the lack of the existing models. In the proposed model, the 3D wind rotor is modeled by a set of blade elements. Then, the local lift and drag forces acting on each blade element are calculated using BEM theory and incorporated into the momentum equation. This BEM-AD model is implemented in a User Defined Function (UDF) that is loaded into the CFD software. Thereby, ground effects are considered to be a wall boundary and defining a wind boundary layer profile at the inlet boundary, which describes the Atmospheric Boundary Layer (ABL). For the validation of this new Actuator Disk model, an enhanced experimental study is conducted at the Dynfluid Laboratory wind tunnel (ENSAM School Paris Tech). The Particle Image Velocimetry (PIV) measurements are used for the experimental wake explorations applied to a miniature two-bladed wind turbine. The wake developments are analyzed at two different hub heights ratio, h/D = 0.7 and 1.0 (where h is the hub height, and D is the wind rotor diameter). The analysis of the outcomes showed that the numerical simulations are in good correlation with the experimental measurements of the ENSAM wind tunnel. The numerical results show that for h/D=0.7, the upper half of the rotor operates within the boundary layer whereas the lower tip vortices are mainly developed in the horizontal direction with lower intensity compared to the upper tip vortices. This effect was not observed for the case h/D=1.0 where the rotor operates outside of the boundary layer; however, the wake centerline is upward deflected at about 0.3D. The main conclusion is that a distance above 7D must be observed between wind turbines to optimize the wind farm performance and over 1D hub height be required to limit the influence of the ground boundary layer effect.
 

Keywords


Abdulrahim, A., A. Ezgi, O. Yashar and U. Oguz (2016). Effects of tip injection on the performance and near wake characteristics of a model wind turbine rotor. Renewable Energy 88, 73-82.##
Abkar, M. and F. Port´e-Agel (2014). The effect of atmospheric stability on wind-turbine wakes: A large-eddy simulation study. Journal of Physics: Conference Series 524 012138.##
Alinot, C. and C. Masson (2005). k-ε Model for the Atmospheric Boundary Layer under Various Thermal Stratifications. Journal of Solar Energy Engineering 127(November).##
Ammara, I., C. Leclerc and C. Masson (2002). A viscous three-dimensional method for the aerodynamic analysis of wind farms. Journal of Solar Energy Engineering 124, 345–356.##
Aubrun, S., S. Loyer, P. E. Hancock and P. Hayden (2013). Wind turbine wake properties: Comparison between a non-rotating simplified wind turbine model and a rotating model. Journal of Wind Engineering and Industrial Aerodynamics 120 1–8.##
Blocken, B., G. Dezsö, J. van Beeck and J. Carmeliet (2010). Comparison of calculation models for wind-driven rainde position on building facades. Atmospheric Environment 44 (14), 1714–1725.##
Blocken, B., J. Carmelieta and T. Stathopoulos (2007). CFD evaluation of wind speed conditions in passages between parallel buildings—effect of wall-function roughness modifications for the atmospheric boundary layer flow. Journal of Wind Engineering and Industrial Aerodynamics 95 941–962.##
Boojari, M., E. Mahmoodi and A. Khanjari (2019). Wake modelling via actuator-line method for exergy analysis in openFOAM, International Journal of Green Energy 16(11), 797-810.##
Breton, S. P. (2008). A Study on Different Stall Delay Models Using a Prescribed Wake Vortex Scheme and NREL Phase VI Experiment. Wind Energy 11, 459–482.##
Chamorro, L. P, M. Guala, R. E. A. Arndt and F. Sotiropoulos (2012). On the evolution of turbulent scales in the wake of a wind turbine model, Journal of Turbulence 13, N27.##
Cillis, G., S. Cherubini, O. Semeraro, S. Leonardi and P. De Palma1 (2021). Pod‐based analysis of a wind turbine wake under the influence of tower and nacelle. Wind Energy 24, 609-633.##
Daaou Nedjari, H., O. Guerri and M. Saighi (2017). CFD wind turbines wake assessment in complex topography. Energy Conversion and Management 138, 224–236.##
Daaou Nedjari, H., O. Guerri and M. Saighi (2020). Full rotor modelling and generalized actuator disk for wind turbine wake investigation. Energy Reports 6, 232-255.##
Dobrev, I. (2009). Active surface hybrid model for the analysis of the aerodynamic behavior of wind turbine rotors with rigid or deformable blades. Ph. D. thesis, Arts et Métiers ParisTech, France.##
Dobrev, I., B. Maalouf, N. Troldborg and F. Massouh (2008). Investigation of the wind turbine vortex structure. 14th Int Symp on Appl of Laser Tech to Fluid Mech, Lisbon Portugal, 1-7.##
Dobrev, I., F. Massouh and A. Memon (2013). Experimental and numerical study of flow around a wind turbine rotor. International Journal of Engineering Systems Modelling and Simulation 5(1), 137-146.##
Dobrev, I., F. Massouh and M. Rapin (2007). Actuator surface hybrid model, Journal of Physics: Conference Series 75(1), 012019.##
Ducoin, A., M. S. Shadloo and S. Roy (2017). Direct Numerical Simulation of flow instabilities over Savonius style wind turbine blades. Renewable Energy 105, 374-385.##
El Kasmi, A. and C. Masson (2008). An extended k-  model for turbulent flow through horizontal-axis wind turbines. Journal of Wind Engineering and Industrial Aerodynamics 96, 103–122.##
El-Askary, W. A., I. M. Sakr, M. Ali, M. R. AbdelSalam and M. Abuhegazy (2017, January). Modeling of wind turbine wakes under thermally-stratified atmospheric boundary layer. Journal of Wind Engineering and Industrial Aerodynamics160, 1-15.##
Espanâ, G. (2009). Experimental Study of the Long Wake of Horizontal Axis Wind Turbines Using Simplified Atmospheric Boundary Layer Modeling. Ph.D. thesis, Université d’Orléans, Orléans, France.##
Espanâ, G., S. Aubrun, S. Loyer and P. Devinant (2012). Wind tunnel study of the wake meandering downstream of a modelled wind turbine as an effect of large scale turbulent eddies. Journal of Wind Engineering and Industrial Aerodynamics 101, 24–33.##
Gao, Z., Y. Li, T. Wang, S. Ke and D. Li (2021a). Recent improvement of actuator line model in the large-eddy simulation of wind-turbine wakes. Applied Mathematics and Mechanics 42, 511-526.##
Gao, Z., Y. Li, T. Wang, W. Shen, X. Zheng and S. Pröbsting(2021b). Modeling the nacelle wake of a horizontal-axis wind turbine under different yaw conditions. Renewable Energy 172263-275.##
García Regodeseves, P. and C. Santolaria Morros (2021). Numerical study on the aerodynamics of an experimental wind turbine: Influence of nacelle and tower on the blades and near-wake. Energy Conversion and Management 237, 114110.##
Gualtieri, G. and S. Secci (2011). Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy. Renewable Energy 36 1081-1094.##
Gunn, K. (2019). Improvements to the Eddy Viscosity Wind Turbine Wake Model. IOP Conf. Series: Journal of Physics: Conf. Series 122, 2012003,##
Hong, J. (2014). Natural snowfall reveals large-scale flow structures in the wake of a 2.5 MW wind turbine. Nature Communications 5, 4216. ##
Hussein, A. S. and H. E. El-Shishiny (2012). Modeling and simulation of micro-scale wind farms using high performance computing. International Journal of Computational Methods 9(2) 1240025.##
Javaherchi, T., S. Antheaume and A. Aliseda (2014). Hierarchical Methodology for the Numerical Simulation of the low Field around and in the Wake of Horizontal Axis Wind Turbines: Rotating Reference Frame, Blade Element Method and Actuator Disk Model. Wind Engineering 38(2) 181-202.##
Johlas, H. M., D. P. Schmidt and M. A. Lackner (2022). Large eddy simulations of curled wakes from tilted wind turbines. Renewable Energy 188349-360.##
Kamada, Y. and T. Maeda (2011). Experimental studies on velocity field around wind turbine rotor. International Conferance and Utility Exhibition on Power and Energy Systems (ICUE) IEEE 2011, 1-7.##
Makridis, A. and J. Chick (2013). Validation of a CFD model of wind turbine wakes with terrain effects. Journal of Wind Engineering and Industrial Aerodynamics 123, 12–29.##
Manwell, J. F., J. G. McGowan and A. L. Rogers (2009). Wind Energy Explained, second ed. Wiley.##
Masson, C. (2006). Numerical Study of Turbulent Flow around a Wind Turbine Nacelle. Wind Energy 9, 281–298.##
Massouh, F. and I. Dobrev (2007). Exploration of the vortex wake behind of wind turbine rotor. Journal of Physics: Conference Series 75 012036.##
Orlandi, P. and S. Leonardi (2006). DNS of turbulent channel flows with two- and three-dimensional roughness, Journal of Turbulence 7, N73.##
Panofsky, H. A. and J. A. Dutton (1984). Atmospheric Turbulence. John Wiley & Sons, New York, U.S.A.##
Panofsky, H. A. (1988). The effect of averaging time on velocity variances. Meteorology and Atmospheric Physics 38, 64–69.##
Paskyabi, M. B. (2015). Offshore Wind Farm Wake Effect on Stratification and Coastal Upwelling. Energy Procedia 80, 131 – 140.##
Porté-Agel, F. (2011). Large-eddy simulation of atmospheric boundary layer flow through wind turbines and wind farms. Journal of Wind Engineering and Industrial Aerodynamics 99, 154–168.##
Porté-Agel, F., M. Bastankhah and S. Shamsoddin (2020). Wind-Turbine and Wind-Farm Flows: A Review. Boundary-Layer Meteorology 174, 1–59.##
Réthoré, P. E., P. van der Laan, N. Troldborg, F. Zahle and N. N. Sørensen (2014). Verification and validation of an actuator disk model. Wind Energy 17, 919–937.##
Shen, W. Z, R. Mikkelsen, J. Nørkær Sørensen and C. Bak. (2005). Tip loss corrections for wind turbine computations.##
Shen, W., J. Zhang and J. Sørensen (2009). The actuator surface model: a new Navier–Stokes based model for rotor computations. Journal of Solar Energy Engineering 131(1), 011002.##
Simisiroglou, N., S. Sarmast, S. P. Breton and S. Ivanell (2016). Journal of Physics Conference Series 753 032028.##
Sørensen, J. and A. Myken (1992). Unsteady actuator disk model for horizontal axis wind turbines. Journal of Wind Engineering and Industrial Aerodynamics 39(1), 139-149.##
Stevens, R. J. A. M., L. A. Martínez-Tossas and C. Meneveau (2017). Comparison of wind farm large eddy simulations using actuator disk and actuator line models with wind tunnel experiments, Renewable Energy 116(A), 470-478.##
Stull, R. B. (1988). An Introduction to Boundary Layer Meteorology. ISBN: 978-94-009-3027-8.##
Tominaga, Y., M. Akashi,  Y. Ryuichiro, K. Hiroto, N. Tsuyoshi and Y. Masaru (2008, October–November). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics 96(10–11), 1749-1761.##
Van der Laan, P., M., N. Niels, Sørensen, P. E. Réthoré, J. Mann, Mark C. Kelly, N. Troldborg, J. G. Schepers and E. Machefaux (2015). An improved k-  model applied to a wind turbine wake in atmospheric turbulence. Wind Energ 18, 889–907.##
Vermeer, L. J. (2003). Wind turbine wake aerodynamics. Progress in Aerospace Sciences 39. 467–510.##
Wind energy in Europe in 2019 Repport (2019). (https://windeurope.org/).##
Wu, Y. T. and F. Porté-Agel (2011). Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations. Boundary-Layer Meteorol 138, 345–366.##
Zhaohui, D. (1997). A 3-D Stall-Delay Model for Horizontal Axis wind Turbine Performance Prediction. American Institute of Aeronautics and Astronautics, Inc.##