Three-dimensional flow field around and downstream of a subscale model rotating vertical axis wind turbine

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• 作者：Kevin J. Ryan ; Filippo Coletti ; Christopher J. Elkins…
• 刊名：Experiments in Fluids
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：57
• 期：3
• 全文大小：7,281 KB
• 参考文献：Araya D, Dabiri J (2015) A comparison of wake measurements in motor-driven and flow-driven turbine experiments. Exp Fluids 56(7):150CrossRef
  Bachant P, Wosnik M (2014) Reynolds number dependence of cross-flow turbine performance and near-wake characteristics. In: 2nd marine energy technology symposium
  Battisti L, Zanne L, Dell’Anna S, Dossena V, Persico G, Paradiso B (2011) Aerodynamic measurements on a vertical axis wind turbine in a large scale wind tunnel. ASME J Energy Resour Technol 133(3):031201CrossRef
  Bazilevs Y, Korobenko A, Deng X, Yan J, Kinzel M, Dabiri J (2014) Fluid–structure interaction modeling of vertical-axis wind turbines. J Appl Mech 81(8):081,006CrossRef
  Brochier G, Fraunie P, Beguier C, Paraschivoiu I (1986) Water channel experiments of dynamic stall on darrieus wind turbine blades. J Propuls Power 2(5):445–449CrossRef
  Castelli MR, Englaro A, Benini E (2011) The darrieus wind turbine: proposal for a new performance prediction model based on cfd. Energy 36(8):4919–4934CrossRef
  Coletti F, Elkins C, Eaton J (2013) An inclined jet in crossflow under the effect of streamwise pressure gradients. Exp Fluids 54(9):1–16CrossRef
  Dabiri J (2011) Potential order-of-magnitude enhancement of wind farm power density via counter-rotating vertical-axis wind turbine arrays. J Renew Sustain Energy 3(4):043104CrossRef
  Dixon K, Simão Ferreira C, Hofemann C, van Bussel G, van Kuik G (2008) A 3d unsteady panel method for vertical axis wind turbines. In: The proceedings of the European wind energy conference and exhibition Brussels
  Dossena V, Persico G, Paradiso B, Battisti L, Dell’Anna S, Brighenti A, Benini E (2015) An experimental study of the aerodynamics and performance of a vertical axis wind turbine in a confined and unconfined environment. J Energy Resour Technol 137(5):051,207CrossRef
  Elkins C, Markl M, Pelc N, Eaton J (2003) 4d magnetic resonance velocimetry for mean velocity measurements in complex turbulent flows. Exp Fluids 34(4):494–503CrossRef
  Ferreira C, van Kuik G, van Bussel G (2006) Wind tunnel hotwire measurements, flow visualization and thrust measurement of a vawt in skew. In: 44th AIAA aerospace sciences meeting and exhibit, American Institute of Aeronautics and Astronautics
  Ferreira C, Hofemann C, Dixon K, van Kuik G, van Bussel G (2010) 3-d wake dynamics of the vawt: Experimental and numerical investigation. In: 48th AIAA aerospace sciences meeting including the new horizons forum and aerospace exposition, American Institute of Aeronautics and Astronautics
  Fortunato B, Dadone A, Trifoni V (1995) A two-dimensional methodology to predict vertical axis wind turbine performance. J Solar Energy Eng 117(3):187–193CrossRef
  Hau E (2005) Wind turbines: fundamentals, technologies, application, economics. Springer, Berlin
  Hofemann C, Simão Ferreira C, Dixon K, van Bussel G, van Kuik G, Scarano F (2008) 3d stereo piv study of tip vortex evolution on a vawt. In: EWEC 2008-European wind energy conference—Brussels
  Howell R, Qin N, Edwards J, Durrani N (2010) Wind tunnel and numerical study of a small vertical axis wind turbine. Renew Energy 35(2):412–422CrossRef
  Kinzel M, Mulligan Q, Dabiri J (2012) Energy exchange in an array of vertical-axis wind turbines. J Turbul 13(38):1–13
  Laneville A, Vittecoq P (1986) Dynamic stall: the case of the vertical axis wind turbine. J Solar Energy Eng 108(2):140–145CrossRef
  McTavish S, Feszty D, Nitzsche F (2014) An experimental and computational assessment of blockage effects on wind turbine wake development. Wind Energy 17(10):1515–1529CrossRef
  Pelc N, Sommer F, Li K, Brosnan T, Herfkens R, Enzmann D (1994) Quantitative magnetic resonance flow imaging. Magn Reson Q 10(3):125–147
  Raciti Castelli M, De Betta S, Benini E (2012) Effect of blade number on a straight-bladed vertical-axis darreius wind turbine. World Acad Sci Eng Technol 61:305–311
  Rajagopalan R, Fanucci J (1985) Finite difference model for vertical axis wind turbines. J Propuls Power 1(6):432–436CrossRef
  Rolin V, Porté-Agel F (2015) Wind-tunnel study of the wake behind a vertical axis wind turbine in a boundary layer flow using stereoscopic particle image velocimetry. In: Journal of physics: conference series, vol 625. IOP Publishing, p 012012
  Roy S, Saha UK (2014) An adapted blockage factor correlation approach in wind tunnel experiments of a savonius-style wind turbine. Energy Conv Manag 86:418–427CrossRef
  Shamsoddin S, Porté-Agel F (2014) Large eddy simulation of vertical axis wind turbine wakes. Energies 7(2):890–912CrossRef
  Sørensen B (2004) Renewable energy: its physics, engineering, environmental impacts, economics & planning. Elsevier, London
  Whittlesey R, Liska S, Dabiri J (2010) Fish schooling as a basis for vertical axis wind turbine farm design. Bioinspir Biomim 5(3):035,005CrossRef
  
• 作者单位：Kevin J. Ryan (1)
  Filippo Coletti (2)
  Christopher J. Elkins (1)
  John O. Dabiri (3)
  John K. Eaton (1)
  
  1. Flow Physics and Computational Engineering, Department of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA
  2. Department of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN, 55455, USA
  3. Departments of Civil and Environmental Engineering and Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA
  
• 刊物类别：Engineering
• 刊物主题：Engineering Fluid Dynamics
  Fluids
  Industrial Chemistry and Chemical Engineering
  Measurement Science and Instrumentation
  Thermodynamics
  Theoretical and Applied Mechanics
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1114

文摘

Three-dimensional, three-component mean velocity fields have been measured around and downstream of a scale model vertical axis wind turbine (VAWT) operated at tip speed ratios (TSRs) of 1.25 and 2.5, in addition to a non-rotating case. The five-bladed turbine model has an aspect ratio (height/diameter) of 1 and is operated in a water tunnel at a Reynolds number based on turbine diameter of 11,600. Velocity fields are acquired using magnetic resonance velocimetry (MRV) at an isotropic resolution of 1/50 of the turbine diameter. Mean flow reversal is observed immediately behind the turbine for cases with rotation. The turbine wake is highly three-dimensional and asymmetric throughout the investigated region, which extends up to 7 diameters downstream. A vortex pair, generated at the upwind-turning side of the turbine, plays a dominant role in wake dynamics by entraining faster fluid from the freestream and aiding in wake recovery. The higher TSR case shows a larger region of reverse flow and greater asymmetry in the near wake of the turbine, but faster wake recovery due to the increase in vortex pair strength with increasing TSR. The present measurement technique also provides detailed information about flow in the vicinity of the turbine blades and within the turbine rotor. The details of the flow field around VAWTs and in their wakes can inform the design of high-density VAWT wind farms, where wake interaction between turbines is a principal consideration.