Articles | Volume 5, issue 4
https://doi.org/10.5194/wes-5-1487-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-1487-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Nov 2020
Research article |
| 05 Nov 2020
| 05 Nov 2020
Laminar-turbulent transition characteristics of a 3-D wind turbine rotor blade based on experiments and computations
DTU Wind Energy, Technical University of Denmark, Aerodynamic Design, Frederiksborgvej 399, 4000 Roskilde, Denmark
Helge Aagaard Madsen
DTU Wind Energy, Technical University of Denmark, Aerodynamic Design, Frederiksborgvej 399, 4000 Roskilde, Denmark
Niels Nørmark Sørensen
DTU Wind Energy, Technical University of Denmark, Aerodynamic Design, Frederiksborgvej 399, 4000 Roskilde, Denmark
Jens Nørkær Sørensen
DTU Wind Energy, Fluid Mechanics, 2800 Lyngby, Denmark
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Cited articles
Abu-Ghannam, B. and Shaw, R.: Natural transition of boundary layers – the
effects of turbulence, pressure gradient, and flow history, J. Mech. Eng. Sci., 22, 213–228, 1980. a
Arnal, D., Gasparian, G., and Salinas, H.: Recent Advances in Theoretical
Methods for Laminar-Turbulent Transition Prediction, in: 36th AIAA Aerospace
Sciences Meeting and Exhibit, 12–15 January 1998, Reno, NV, USA, https://doi.org/10.2514/6.1998-223, 1998. a
Bak, C., Aagaard Madsen, H., Schmidt Paulsen, U., Gaunaa, M., Fuglsang, P.,
Romblad, J., Olesen, N., Enevoldsen, P., Laursen, J., and Jensen, L.:
DAN-AERO MW: Detailed aerodynamic measurements on a full scale MW wind
turbine, in: EWEC 2010 Proceedings online, European Wind Energy Association (EWEA), Warsaw, 2010. a
Bertolotti, F. P., Herbert, T., and Spalart, P. R.: Linear and nonlinear
stability of the Blasius boundary layer, J. Fluid Mech., 242, 441–474, https://doi.org/10.1017/S0022112092002453, 1992. a
Biau, D., Arnal, D., and Vermeersch, O.: A transition prediction model for
boundary layers subjected to free-stream turbulence, Aerospace Sci. Technol., 11, 370–375, 2007. a
Boorsma, K., Schepers, J. G., Gomez-Iradi, S., Herraez, I., Lutz, T., Weihing, P., Oggiano, L., Pirrung, G., Madsen, H. A., Shen, W. Z., and Rahimi, H.: Final report of IEA wind task 29 Mexnext (Phase 3), Wind Energy, available at: https://scholar.google.com.tr/scholar?cluster=6869701785559421965&hl=en&as_sdt=0,5
(last access: October 2020), 2018. a
Chaviaropoulos, P. K., Sieros, G., Prospathopoulos, J. M., Diakakis, K., and
Voutsinas, S. G.: Design and CFD-based Performance Verification of a Family
of Low-Lift Airfoils, EAWE, Paris, 2015. a
Chen, K. K. and Thyson, N. A.: Extension of Emmons' spot theory to flows on
blunt bodies, AIAA J., 9, 821–825, 1971. a
Davis, M., Reed, H., Youngren, H., Smith, B., and Bender, E.: Transition
Prediction Method Review Summary for the Rapid Assessment Tool for Transition
Prediction (RATTraP), US Air Force Research Lab. Technical Rep. VA-WP-TR-2005-3130, Wright–Patterson AFB, OH, 2005. a
Dhawan, S. and Narasimha, R.: Some properties of boundary layer flow during the transition from laminar to turbulent motion, J. Fluid Mech., 3, 418–436, 1958. a
Diakakis, K., Papadakis, G., and Voutsinas, S. G.: Assessment of transition
modeling for high Reynolds flows, Aerospace Sci. Tech., 85, 416–428, 2019. a
Dini, P., Selig, M. S., and Maughmer, M. D.: Simplified Linear Stability
Transition Prediction Method for Separated Boundary Layers, AIAA J., 30,
1953–1961, https://doi.org/10.2514/3.11165, 1992. a
Emmons, H.: The laminar-turbulent transition in a boundary layer – Part I, J. Aeronaut. Sci., 18, 490–498, 1951. a
Eppler, R.: Practical calculation of laminar and turbulent bled-off boundary
layers, Report number NASA-TM-75328, NASA Technical Memorandum, NASA,
Washington, D.C., 1978. a
FieldView: FieldView Reference Manual, Intelligent Light, Rutherford, NJ, 2017. a
Gleyzes, C., Cousteix, J., and Bonnet, J. L.: A Calculation Method of Leading Edge Separation Bubbles, in: Numerical and Physical Aspects of Aerodynamic Flows II, edited by: Cebeci, T., Springer, Berlin, Heidelberg, 1983. a
Hansen, M. O., Sørensen, N. N., and Michelsen, J.: Extraction of lift, drag and angle of attack from computed 3-D viscous flow around a rotating blade, in: 1997 European Wind Energy Conference, Irish Wind Energy
Association, Slane, 499–502, 1997. a
Herbert, T.: Parabolized stability equations, Annu. Rev. Fluid Mech., 29, 245–283, 1997. a
Hernandez, G. G. M., Sørensen, J. N., and Shen, W. Z.: Laminar-turbulent
transition on wind turbines, DTU Mechanical Engineering, Kgs. Lyngby, 2012. a
Johansen, J. and Sørensen, N. N.: Aerofoil characteristics from 3D CFD rotor computations, Wind Energy, 7, 283–294, https://doi.org/10.1002/we.127, 2004. a
Joseph, L. A., Borgoltz, A., and Devenport, W.: Infrared thermography for
detection of laminar–turbulent transition in low-speed wind tunnel testing,
Exp. Fluids, 57, 57–77, 2016. a
Krumbein, A.: Application of Transition Prediction, in: MEGADESIGN and MegaOpt –German Initiatives for Aerodynamic Simulation and Optimization in Aircraft Design, edited by: Kroll, N., Schwamborn, D., Becker, K., Rieger, H., and Thiele, F., Springer, Berlin, Heidelberg, 107–120, 2009. a
Kümmerer, H.: Numerische Untersuchungen zur Stabilität ebener laminarer Grenzschichtströmungen, PhD thesis, 1973. a
Langtry, R. B.: A correlation-based transition model using local variables for unstructured parallelized CFD codes, https://doi.org/10.18419/OPUS-1705, 2006. a
Larsen, T. and Hansen, A.: How 2 HAWC2, the user's manual, Denmark,
Risoe-R-1597, Forskningscenter, Risoe, 2007. a
Lobo, B., Boorsma, K., and Schaffarczyk, A.: Investigation into Boundary Layer Transition on the MEXICO Blade, J. Phys.: Conf. Ser., 1037, 052020, https://doi.org/10.1088/1742-6596/1037/5/052020, 2018. a
Mack, L. M.: Transition and Laminar Instability, No. NASA-CP-153203, NASA Jet
Propulsion Laboratory, California, 1977. a
Madsen, H. A.,Özçakmak,Ö. S., Bak, C., Troldborg, N.,
Sørensen, N. N., and Sørensen, J. N.: Transition characteristics measured on a 2 MW 80 m diameter wind turbine rotor in comparison with transition data from wind tunnel measurements, in: AIAA Scitech 2019 Forum,
January 2019 San Diego, California, https://doi.org/10.2514/6.2019-0801, 2019a. a, b
Madsen, M. H. A., Zahle, F., Sørensen, N. N., and Martins, J. R. R. A.: Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine, Wind Energ. Sci., 4, 163–192, https://doi.org/10.5194/wes-4-163-2019, 2019b. a
Mayle, R.: A theory for predicting the turbulent-spot production rate, in: ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition,
V001T01A071, American Society of Mechanical Engineers, New York, 1998. a
Menter, F.: Zonal two equation kw turbulence models for aerodynamic flows, in: 23rd fluid dynamics, plasmadynamics, and lasers conference, 6–9 July 1993, Orlando, FL, USA, p. 2906, 1993. a
Menter, F. R., Langtry, R. B., Likki, S., Suzen, Y., Huang, P., and Völker, S.: A correlation-based transition model using local variables – part II: model formulation, J. Turbomach., 128, 413–422, 2006. a
Michel, R.: Etude de la Transition sur les Profiles d'Aile; Etablissement
d'un Critére de Determination de Point de Transition et Calcul de la
Trainee de Profile Incompressible, ONERA Report 1/1578A, 1951. a
Michelsen, J. A.: Basis3D-a platform for development of multiblock PDE solvers, Tech. rep., Technical Report AFM 92-05, Technical University of Denmark, Denmark, 1992. a
Michelsen, J. A.: Block structured Multigrid solution of 2D and 3D elliptic
PDE's, Department of Fluid Mechanics, Technical University of Denmark, Denmark, 1994. a
Morkovin, M. V.: Critical evaluation of transition from laminar to turbulent
shear layers with emphasis on hypersonically traveling bodies, Tech. rep.,
Martin Marietta Corp Baltimore Md Research Inst. for Advanced Studies, Air Force Flight Dynamics Laboratory, Ohio, 1969. a
Morkovin, M. V.: Bypass Transition to Turbulence and Research desiderata, NASA, Lewis Research Center Transition in Turbines, 161–204, 1985. a
Özçakmak,Ö. S., Madsen, H. A., Sørensen, N., Sørensen, J. N., Fischer, A., and Bak, C.: Inflow Turbulence and Leading Edge Roughness
Effects on Laminar-Turbulent Transition on NACA 63-418 Airfoil, J. Phys.: Conf. Ser., 1037, 022005, https://doi.org/10.1088/1742-6596/1037/2/022005, 2018. a
Patankar, S. V.: Numerical heat transfer and fluid flow, Hemisphere Publ. Corp., New York, 1980. a
Patankar, S. V. and Spalding, D. B.: A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows, in: Numerical
Prediction of Flow, Heat Transfer, Turbulence and Combustion, Imprint, Pergamon, 54–73, 1983. a
Reichstein, T., Schaffarczyk, A. P., Dollinger, C., Balaresque, N., Schülein, E., Jauch, C., and Fischer, A.: Investigation of
Laminar–Turbulent Transition on a Rotating Wind-Turbine Blade of Multimegawatt Class with Thermography and Microphone Array, Energies, 12,
2102, https://doi.org/10.3390/en12112102, 2019. a
Reshotko, E.: Stability theory as a guide to the evaluation of transition
data., AIAA J., 7, 1086–1091, https://doi.org/10.2514/3.5279, 1969. a
Reza, T. Z. and Amir, K.: Prediction of boundary layer transition based on
modeling of laminar fluctuations using RANS approach, Chin. J. Aeronaut., 22, 113–120, 2009. a
Rhie, C. and Chow, W.: A numerical study of the turbulent flow past an isolated airfoil with trailing edge separation, in: 3rd Joint Thermophysics, a
Schaffarczyk, A. P., Schwab, D., and Breuer, M.: Experimental Detection of
Laminar-Turbulent Transition on a Rotating Wind Turbine Blade in the Free
Atmosphere, Wind Energy, 20, 211–220, https://doi.org/10.1002/we.2001, 2017. a
Schaffarczyk, A. P., Boisard, R., Boorsma, K., Dose, B., Lienard, C., Lutz, T., Madsen, H. Å., Rahimi, H., Reichstein, T., Schepers, G., Sørensen, N., Stoevesandt, B., and Weihing, P.: Comparison of 3D transitional CFD
simulations for rotating wind turbine wings with measurements, J. Phys.: Conf. Ser., 1037, 022012, https://doi.org/10.1088/1742-6596/1037/2/022012, 2018. a
Schepers, J. and Snel, H.: Model experiments in controlled conditions, ECN
Report ECN-E-07-042, ECN, the Netherlands, 2007. a
Schwab, D., Ingwersen, S., Schaffarczyk, A. P., and Breuer, M.: Aerodynamic
Boundary Layer Investigation on a Wind Turbine Blade under Real Conditions,
in: Wind Energy – Impact of Turbulence, edited by: Hölling, M., Peinke,
J., and Ivanell, S., Springer, Berlin, Heidelberg, 203–208, 2014. a
Smith, A. and Gamberoni, N.: Transition, pressure gradient, and stability
theory, Report no. es. 26388, Douglas Aircraft Co, Inc., El Segundo, CA, 1956. a
Sørensen, N. N.: General Purpose Flow Solver Applied to Flow Over Hills,
PhD thesis, Risø National Laboratory, Risø, 1995. a
Sørensen, N. N.: HypGrid2D. A 2-d mesh generator, Tech. rep., Risø National Laboratory, Risø, 1998. a
Sørensen, N. N.: CFD modelling of laminar-turbulent transition for airfoils and rotors using the γ-model, Wind Energy, 12, 715–733,
https://doi.org/10.1002/we.325, 2009. a, b
Sørensen, N. N., Bechmann, A., and Zahle, F.: 3D CFD computations of
transitional flows using DES and a correlation based transition model, Wind
Energy, 14, 77–90, 2011. a
Sørensen, N. N., Zahle, F., and Michelsen, J. A.: Prediction of airfoil performance at high Reynolds numbers EFMC, Sound/Visual production (digital), Kgs. Lyngby, Denmark, 2014. a
Stock, H. and Degenhart, E.: A simplified e exp n method for transition
prediction in two-dimensional, incompressible boundary layers, Z. Flugwiss. Weltraumforsch., 13, 16–30, 1989. a
Stock, H. W. and Haase, W.: Feasibility Study of e Transition Prediction in
Navier–Stokes Methods for Airfoils, AIAA J., 37, 1187–1196, 1999. a
Suder, K. L., Obrien, J. E., and Reshotko, E.: Experimental study of bypass
transition in a boundary layer, MsT, NASA Lewis Research Center, Case Western Reserve Univ., Cleveland, Ohio, p. 20, 1988. a
Suzen, Y. and Huang, P.: Modeling of flow transition using an intermittency
transport equation, J. Fluids Eng., 122, 273–284, 2000. a
Van Ingen, J. L.: A Suggested Semi-Empirical Method for The Calculation of the Boundary Layer Transition Region, Tech. Rep. No. V.T.H.-74, Delft University of Technology, Delft, 1956. a
Von Kármán, T.: Uber laminare und turbulente Reibung, Z. Angew. Math.
Mech., 1, 233–252, 1921. a
Walters, D. K. and Leylek, J. H.: A new model for boundary layer transition
using a single-point RANS approach, J. Turbomach., 126, 193–202, 2004. a
Wazzan, A., Okamura, T., and Smith, A.: Spatial and temporal stability charts
for the Falkner–Skan boundary-layer profiles, Tech. rep., McDonnell Douglas
Astronautics Co-Hb, Huntington Beach, CA, 1968. a
Welch, P.: The use of fast Fourier transform for the estimation of power
spectra: a method based on time averaging over short, modified periodograms,
IEEE T. Audio Electroacoust., 15, 70–73, 1967. a
Yilmaz, Ö. C., Pires, O., Munduate, X., Sørensen, N. N., Reichstein, T., Schaffarczyk, P., Diakakis, K., Papadakis, G., Daniele, E., Schwarz, M., Lutz, T., and Prieto, R.: Summary of the blind test campaign to predict the high Reynolds number performance of DU00-W-210 airfoil, in: 35th Wind Energy Symposium, 9–13 January 2017, Grapevine, Texas, p. 0915, 2017. a
Short summary
Accurate prediction of the laminar-turbulent transition process is critical for design and prediction tools to be used in the industrial design process, particularly for the high Reynolds numbers experienced by modern wind turbines. Laminar-turbulent transition behavior of a wind turbine blade section is investigated in this study by means of field experiments and 3-D computational fluid dynamics (CFD) rotor simulations.
Accurate prediction of the laminar-turbulent transition process is critical for design and...
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