Prediction of the wind turbine performance by using BEM with airfoil data extracted from CFD

Renewable Energy

Volumn 70, Issue , 2014, Pages 107-115

  Yang, Hua ^a   Shen, Wenzhong ^b   Xu, Haoran ^a   Hong, Zedong ^a   Liu, Chao ^a  

^a YANGZHOU UNIVERSITY   (China)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Airfoil data; Rotor aerodynamics; Wind turbine

Indexed keywords

AERODYNAMICS; AIRFOILS; BOUNDARY ELEMENT METHOD; EXPERIMENTS; FORECASTING; LOADING; RELIABILITY THEORY; WIND TUNNELS; WIND TURBINES;

AIRFOIL DATUM; BLADE-ELEMENT MOMENTUMS; CFD (COMPUTATIONAL FLUID DYNAMICS); CONTROLLED CONDITIONS; ROTOR AERODYNAMICS; TIP LOSS CORRECTION; WIND TUNNEL MEASUREMENTS; WIND TURBINE AERODYNAMICS;

COMPUTATIONAL FLUID DYNAMICS;

AZIMUTH; COMPUTATIONAL FLUID DYNAMICS; DATA SET; PERFORMANCE ASSESSMENT; PREDICTION; WIND TUNNEL; WIND TURBINE;

EID: 84902255020     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2014.05.002     Document Type: Article

References (10)

1. Hansen M.O.L., Sørensen J.N., Voutsinas S., Sørensen N., Madsen H.A. State of the art in wind turbine aerodynamics and aeroelasticity. Prog Aerosp Sci 2006, 42(4):285-330.
2. Snel H., Houwink R., Piers W.J., Van Bussel G.J.W., Bruining A. Sectional prediction of 3-D effects for stalled flow on rotating blades and comparison with measurements. EWEC 1993, 395-399.
3. Du Z, Selig MA. 3-D stall-delay model for horizontal axis wind turbine performance predictions. AIAA-98-0021; 1988.
4. Chaviaropoulos P.K., Hansen M.O.L. Investigating three-dimensional and rotational effects on wind turbine blades by means of a quasi-3D Navier-Stokes solver. JFluids Eng 2000, 122:330-336.
5. Yang H., Shen W.Z., Sørensen J.N., Zhu W.J. Extraction of airfoil data using PIV and pressure measurements. Wind Energy 2011, 14(4):539-556. 10.1002/we.441.
6. Johansen J., Sørensen N.N. Aerofoil characteristics from 3D CFD rotor computations. Wind Energy 2004, 7(4):283-294.
7. Schepers JG, Snel H. Model experiments in controlled conditions. ECN report, ECN-E-07-042; 2007.
8. Krogstad Per-Åge, Eriksen Pål Egil "Blind test" calculations of the performance and wake development for a model wind turbine. Renew Energy 2013, 50:325-333.
9. Xu H.R., Yang H., Liu C., Hong Z.D. Research on the effect of different turbulence models on the aerodynamic performance prediction accuracy of MEXICO wind turbines. Proc Chin Soc Electr Eng 2013, 33(35):95-101.
10. Shen W.Z., Mikkelsen N.R., Sørensen J.N., Bak C. Tip loss corrections for wind turbine computations. Wind Energy 2005, 8(4):457-475.