Power Properties of Two Interacting Wind Turbine Rotors

Power Properties of Two Interacting Wind Turbine Rotors In the current experiments, two identical wind turbine models were placed in uniform flow conditions in a water flume. The initial flow in the flume was subject to a very low turbulence level, limiting the influence of external disturbances on the development of the inherent wake instability. Both rotors are three-bladed and designed using blade element/lifting line (BE/LL) optimum theory at a tip-speed ratio, λ, of 5 with a constant design lift coefficient along the span, CL = 0.8. Measurements of the rotor characteristics were conducted by strain sensors installed in the rotor mounting. The resulting power capacity has been studied and analyzed at different rotor positions and a range of tip-speed ratios from 2 to 8, and a simple algebraic relationship between the velocity deficit in the wake of the front turbine and the power of the second turbine was found, when both rotors have the coaxial position.

[1]  Nicolai Gayle Nygaard,et al.  Wakes in very large wind farms and the effect of neighbouring wind farms , 2014 .

[2]  Robert Flemming Mikkelsen,et al.  Estimation of wake propagation behind the rotors of wind-powered generators , 2016 .

[3]  Fernando Porté-Agel,et al.  A Numerical Study of the Effects of Wind Direction on Turbine Wakes and Power Losses in a Large Wind Farm , 2013 .

[4]  Clara Marika Velte,et al.  Flow diagnostics downstream of a tribladed rotor model , 2012 .

[5]  J. Sørensen,et al.  Wind turbine wake aerodynamics , 2003 .

[6]  Robert Flemming Mikkelsen,et al.  Wake effect on a uniform flow behind wind-turbine model , 2015 .

[7]  Jens Nørkær Sørensen,et al.  Numerical simulations of wake interaction between two wind turbines at various inflow conditions , 2011 .

[8]  Jens Nørkær Sørensen,et al.  Comparison of classical methods for blade design and the influence of tip correction on rotor performance , 2016 .

[9]  Stefan Ivanell,et al.  Study of the influence of imposed turbulence on the asymptotic wake deficit in a very long line of wind turbines , 2014 .

[10]  Vicente Negro,et al.  Design of Scour Protection Systems in Offshore Wind Farms , 2015 .

[11]  Ashwani K. Gupta,et al.  Efficient Wind Energy Conversion: Evolution to Modern Design , 2015 .

[12]  E. S. Politis,et al.  Modelling and Measuring Flow and Wind Turbine Wakes in Large Wind Farms Offshore , 2009, Renewable Energy.

[13]  Paul Mycek,et al.  Numerical and experimental study of the interaction between two marine current turbines , 2013 .

[14]  Jens Nørkær Sørensen,et al.  Rotor theories by Professor Joukowsky: Momentum theories , 2015 .

[15]  Jan Michael Simon Bartl,et al.  Wake Measurements Behind an Array of Two Model Wind Turbines , 2012 .

[16]  Ryoichi S. Amano,et al.  Advances in Horizontal Axis Wind Turbine Blade Designs: Introduction of Slots and Tubercle , 2015 .

[17]  Vicente Negro,et al.  Offshore Wind Foundation Design: Some Key Issues , 2015 .

[18]  Jens Nørkær Sørensen,et al.  PIV and LDA measurements of the wake behind a wind turbine model , 2014 .

[19]  Ryoichi S. Amano,et al.  Development of Novel Self-Healing Polymer Composites for Use in Wind Turbine Blades , 2015 .

[20]  K. V. Treuren Small-Scale Wind Turbine Testing in Wind Tunnels Under Low Reynolds Number Conditions , 2015 .

[21]  Robert Flemming Mikkelsen,et al.  Efficiency of operation of wind turbine rotors optimized by the Glauert and Betz methods , 2015 .

[22]  Bengt Sundén,et al.  On Icing and Icing Mitigation of Wind Turbine Blades in Cold Climate , 2015 .

[23]  J. Sørensen,et al.  A regular Strouhal number for large-scale instability in the far wake of a rotor , 2014, Journal of Fluid Mechanics.

[24]  Jens Nørkær Sørensen,et al.  The rotor theories by Professor Joukowsky: Vortex theories , 2015 .