zbMATH — the first resource for mathematics

A biomimetic wind turbine inspired by Dryobalanops aromatica seed: numerical prediction of rigid rotor blade performance with OpenFOAM\(^{\circledR}\). (English) Zbl 1390.76413
Summary: This paper presents the performance study of a rigid biomimetic horizontal axis wind turbine (HAWT) rotor blade inspired by Dryobalanops aromatica seed with open source computational fluid dynamics (CFD) software, OpenFOAM\(^{\circledR}\). The power coefficient, \(C_{P}\), thrust coefficient, \(C_{T}\) and blade root bending stresses of the proposed biomimetic wind turbine were predicted and compared to a tapered and twisted blades wind turbine from P.-Å. Krogstad and J. A. Lund, “An experimental and numerical study of the performance of a model turbine”, Wind Energy 15, No. 3, 443–457 (2011; doi:10.1002/we.482)]. The simulation results show that the proposed biomimetic wind turbine has fair maximum \(C_{P}\) which is 0.386 at tip speed ratio (TSR) of 1.5 in free stream velocity, \(U_{\infty}\) of 10 m/s. The proposed biomimetic wind turbine is expected to have better self-starting ability as its starting torque at \(TSR=0\), is 772% higher than [loc. cit.] wind turbine. The proposed biomimetic wind turbine is also expected to work in low wind speed condition due to its ability to generate higher torque during rotation. The preconing of the proposed biomimetic wind turbine blades enable the utilisation of centrifugal forces induced from rotation to reduce flapwise bending stresses. The performance of the scaled biomimetic wind turbine which have similar solidity as [loc. cit.] wind turbine was also tested and it was able to exhibit the features of the original biomimetic wind turbine. This preliminary study will give insight on the potentials of this newly proposed biomimetic wind turbine in the wind power industry.
76M12 Finite volume methods applied to problems in fluid mechanics
76U05 General theory of rotating fluids
65M08 Finite volume methods for initial value and initial-boundary value problems involving PDEs
Full Text: DOI
[1] Capuzzi, M.; Pirrera, A.; Weaver, P. M., Structural design of a novel aeroelastically tailored wind turbine blade, Thin-Walled Struct, 95, 7-15, (2015)
[2] Huang, G. Y.; Shiah, Y. C.; Bai, C. J.; Chong, W. T., Experimental study of the protuberance effect on the blade performance of a small horizontal axis wind turbine, J Wind Eng Ind Aerodynamics, 147, 202-211, (2015)
[3] Manwell, J. F.; McGowan, J. G.; Rogers, A. L., Wind energy explained: theory, design and application, (2010), John Wiley & Sons
[4] Lee, K.; Huque, Z.; Kommalapati, R.; Han, S. E., Evaluation of equivalent structural properties of NREL phase VI wind turbine blade, Renew Energy, 86, 796-818, (2016)
[5] Elfarra, M. A.; Sezer Uzol, N.; Akmandor, I. S., Investigations on blade tip tilting for hawt rotor blades using CFD, Int J Green Energy, 12, 2, 125-138, (2015)
[6] Villalpando, F.; Reggio, M.; Ilinca, A., Numerical study of flow around iced wind turbine airfoil, Eng Appl Comput Fluid Mech, 6, 1, 39-45, (2012)
[7] Elfarra, M. A.; Sezer‐Uzol, N.; Akmandor, I. S., NREL VI rotor blade: numerical investigation and winglet design and optimization using CFD, Wind Energy, 17, 4, 605-626, (2014)
[8] Reynolds, O., On the dynamical theory of incompressible viscous fluids and the determination of the criterion, Proc R SocLondon, 56, 336-339, 40-45, (1894)
[9] Cheng, Y.; Lien, F. S.; Yee, E.; Sinclair, R., A comparison of large eddy simulations with a standard k-ε Reynolds-averaged Navier-Stokes model for the prediction of a fully developed turbulent flow over a matrix of cubes, J Wind Eng Ind Aerodynamics, 91, 11, 1301-1328, (2003)
[10] Menter, F. R., Two-equation eddy-viscosity turbulence models for engineering applications, AIAA J, 32, 8, 1598-1605, (1994)
[11] Krogstad, P.Å.; Lund, J. A., An experimental and numerical study of the performance of a model turbine, Wind Energy, 15, 3, 443-457, (2012)
[12] Sørensen, N. N., CFD modelling of laminar‐turbulent transition for airfoils and rotors using the γ− model, Wind Energy, 12, 8, 715-733, (2009)
[13] Sørensen, N. N.; Michelsen, J. A.; Schreck, S., Navier-Stokes predictions of the NREL phase VI rotor in the NASA ames 80 ft × 120 ft wind tunnel, Wind Energy, 5, 2‐3, 151-169, (2002)
[14] Lee, M. H.; Shiah, Y. C.; Bai, C. J., Experiments and numerical simulations of the rotor-blade performance for a small-scale horizontal axis wind turbine, J Wind Eng Ind Aerodynamics, 149, 17-29, (2016)
[15] Hand, B.; Kelly, G.; Cashman, A., Numerical simulation of a vertical axis wind turbine airfoil experiencing dynamic stall at high Reynolds numbers, Comput Fluids, 149, 12-30, (2017) · Zbl 1390.76161
[16] Schmitz, S.; Chattot, J. J., Flow physics and stokes’ theorem in wind turbine aerodynamics, Comput Fluids, 36, 10, 1583-1587, (2007) · Zbl 1194.76041
[17] Campobasso, M. S.; Drofelnik, J.; Gigante, F., Comparative assessment of the harmonic balance Navier-Stokes technology for horizontal and vertical axis wind turbine aerodynamics, Comput Fluids, 136, 354-370, (2016) · Zbl 1390.76404
[18] Wang, S.; Ingham, D. B.; Ma, L.; Pourkashanian, M.; Tao, Z., Numerical investigations on dynamic stall of low Reynolds number flow around oscillating airfoils, Comput Fluids, 39, 9, 1529-1541, (2010) · Zbl 1245.76041
[19] Bai, C. J.; Wang, W. C., Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs), Renew Sustainable Energy Rev, 63, 506-519, (2016)
[20] 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 Aerospace Sci, 42, 4, 285-330, (2006)
[21] Krogstad, P.Å.; Eriksen, P. E., “blind test” calculations of the performance and wake development for a model wind turbine, Renew Energy, 50, 325-333, (2013)
[22] FLUENT. (2009). ANSYS Workbench, FLUENT 12.0 User’s Guide. PA: ANSYS Inc, Canonsburg.
[23] Make, M.; Vaz, G., Analyzing scaling effects on offshore wind turbines using CFD, Renew Energy, 83, 1326-1340, (2015)
[24] Stern, F.; Wilson, R. V.; Coleman, H. W.; Paterson, E. G., Comprehensive approach to verification and validation of CFD simulations-part 1: methodology and procedures, Trans-Am Soc Mech Eng JFluids Eng, 123, 4, 793-802, (2001)
[25] Xing, T.; Stern, F., Factors of safety for Richardson extrapolation, J Fluids Eng, 132, 6, (2010)
[26] Moshfeghi, M.; Song, Y. J.; Xie, Y. H., Effects of near-wall grid spacing on SST-K-ω model using NREL phase VI horizontal axis wind turbine, J Wind Eng Ind Aerodynamics, 107, 94-105, (2012)
[27] Vincent, J. F.; Bogatyreva, O. A.; Bogatyrev, N. R.; Bowyer, A.; Pahl, A. K., Biomimetics: its practice and theory, J R Soc Interface, 3, 9, 471-482, (2006)
[28] Holden, J. R.; Caley, T. M.; Turner, M. G., Maple seed performance as a wind turbine, (53rd AIAA Aerospace Sciences Meeting, (2015)), 1304
[29] Soepadmo, E.; Saw, L. G.; Chung, R. C.K., Tree flora of sabah and sarawak, (2002), Forest Research Institute Malaysia (FRIM), Volume 4
[30] Fedorov, S. (2002). GetData Graph Digitizer version 2.24. Get data-graph-digitizer-com, Russia.
[31] Ribes, A.; Caremoli, C., Salome platform component model for numerical simulation, (Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International, (2007, July), IEEE), 553-564, Vol. 2
[32] Weller, H. G.; Tabor, G.; Jasak, H.; Fureby, C., A tensorial approach to computational continuum mechanics using object-oriented techniques, Comput Phys, 12, 6, 620-631, (1998)
[33] Ahrens, J., Geveci, B., & Law, C. (2005). 36-paraview: an end-user tool for large-data visualization. The Visualization Handbook, 717.
[34] Somers, D.M. (2005). The S825 and S826 airfoils. National Renewable Energy Laboratory, Subcontractor Report.
[35] Wilcox, D. C., Turbulence modeling for CFD, (1993), Griffin Printing California
[36] McCormick, B. W., Aerodynamics, aeronautics, and flight mechanics, (1979), Wiley New York
[37] Spalart, P. R.; Rumsey, C. L., Effective inflow conditions for turbulence models in aerodynamic calculations, AIAA J, 45, 10, 2544-2553, (2007)
[38] The open source CFD toolbox, user guide, (2015), OpenCFD Ltd
[39] Menter, F. R.; Kuntz, M.; Langtry, R., Ten years of industrial experience with the SST turbulence model, Turbulence, Heat Mass Transfer, 4, 1, 625-632, (2003)
[40] Patel, Y. (2010) Numerical iInvestigation of flow past a circular cylinder and in a staggered tube bundle using various turbulence models. Master’s thesis. Lappeenranta University of Technology.
[41] Moštěk, M.; Kukukova, A.; Jahoda, M.; Machoň, V., Comparison of different techniques for modelling of flow field and homogenization in stirred vessels, Chem Papers, 59, 6a, 380-385, (2005)
[42] Tonello, N.; Eude, Y.; de Meux, B. D.L.; Ferrand, M., Frozen rotor and sliding mesh models applied to the 3d simulation of the francis-99 tokke turbine with code_saturne, J Phys: Conf Ser, 782, 1, (2017, January), IOP Publishing
[43] Stern, F.; Wilson, R.; Shao, J., Quantitative V&V of CFD simulations and certification of CFD codes, Int J Numerical Methods Fluids, 50, 11, 1335-1355, (2006) · Zbl 1096.76045
[44] Launder, B. E.; Spalding, D. B., The numerical computation of turbulent flows, Comput Methods Appl Mech Eng, 3, 2, 269-289, (1974) · Zbl 0277.76049
[45] Lam, C. K.G.; Bremhorst, K., A modified form of the k-ε model for predicting wall turbulence, J Fluids Eng, 103, 3, 456-460, (1981)
[46] Walters, D. K.; Cokljat, D., A three-equation eddy-viscosity model for Reynolds-averaged Navier-Stokes simulations of transitional flow, J Fluids Eng, 130, 12, (2008)
[47] Spalart, P. R.; Allmaras, S. R., A one-equation turbulence model for aerodynamic flows, La Recherche Aerospatiale, 1, 5-21, (1994)
[48] Gere, J. M.; Timoshenko, S. P., Mechanics of materials, (1997), PWS Publishing Company Boston
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.