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Flow Control through Surface Suction for Small Wind Turbines

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thesis
posted on 27.03.2017, 04:45 by Jasvipul Singh Chawla
This thesis seeks to arrive at estimates of improvement in blade aerodynamic efficiency and reduction in structural loads in small wind turbines through surface suction-based active flow control at low Reynolds numbers (Re). Improved aerodynamic efficiency and reduced fatigue loads help achieve lower Cost-of-Energy.

 Small wind turbines typically operate off-grid, providing power at the point of consumption. Consequently, such turbines often operate in locations with poor wind speed regimes. Low wind speeds coupled with small chord length of the blades result in low operating Re that often lie between 104 and 105. It is well-known that such operating Re imposes significant challenges in realising good aerodynamic efficiency due to the propensity for flow separation to occur.
   
   It has been established that flow separation can be avoided or delayed using active flow control. However, much of such work on active flow control has focused on high Re applications. This thesis focuses on the application of surface suction, a popular active flow control methodology, in low Re regimes seen in small wind turbines.

 The approach adopted towards arriving at the aforementioned estimates of improvement in blade aerodynamic efficiency and reduction in structural loads in small wind turbines is as follows:
   
   1. Experimental characterisation of the improvement in the aerodynamic characteristics of two aerofoil profiles, NACA0012 and S814, commonly used in small wind turbine applications, in low Re regimes is performed. Specifically, this characterisation captures both the steady-state characteristics as well as identification of the temporal dynamics between change in the coefficient of lift (ΔCL) and change in the coefficient of drag (ΔCD) with the non-dimensional parameter, Cμ (defined as the ratio of the momentum of air drawn through suction and the momentum of the air flowing over the aerofoil, that is, ρ  Aslit  us2) / ( ρ  Aaerofoil  U2), where ρ is air density, Aslit area of the slit, Aaerofoil area of the aerofoil, us suction velocity and U the free stream velocity):
   ΔCL, ΔCD = f(Cμ)
   ΔCL, ΔCD = f(Cμ,t)
   
   2. Posing a similitude argument that as long as the dimensionless parameters Cμ and Re remain comparable to the regimes for which the aforesaid experimental characterisation was done, the steady-state and temporal relationships between ΔCL, ΔCD and Cμ established could be directly used in numerical simulations for predicting the behaviour of small wind turbines.
   
   3. Using the relation ΔCL, ΔCD = f(Cμ) and steady Blade Element Momentum (BEM) theory to estimate increase in Coefficient of Power, CP of a small wind turbine employing surface suction on its blades working in the same Cμ,Re regime.
   
   4. Incorporating the dynamic map, ΔCL, ΔCD = f(Cμ,t) into the dynamics of the aero-elastic simulator, FAST to formulate extended turbine dynamics.
   
   5. Utilising, appropriately, Cμ as an additional control input towards reducing fore-aft oscillations of the tower top while compensating for the said extended turbine dynamics.
   
   6. Demonstrating, through rain-flow analysis, that the reduced oscillations result in mitigation of fatigue loads on the turbine tower structure.
   
   The thesis documents that the approach indicated for increasing CP , when applied to a small wind turbine in sub 1kW power output range, with 2m radius, NACA0012-blades, operating in steady wind speed of 7.5m/s, increased the expected power output from 764W to 1511W by expending 106W of suction power.
   
   Further, compensating for the extended dynamics of the turbine in the aero-elastic simulator, tower-top oscillations reduced for a ~ 10kW turbine of 2.9m radius, S814 blades, hub height 24m. Thus, for the turbine operating over 20 years in turbulent IEC III-A wind conditions, the structural damage equivalent reduced from ~ 10 to < 1.

History

Campus location

Australia

Principal supervisor

John Sheridan

Additional supervisor 1

Shashikanth Suryanarayanan

Year of Award

2017

Department, School or Centre

Mechanical and Aerospace Engineering

Additional Institution or Organisation

Indian Institute of Technology Bombay

Faculty

Faculty of Engineering