Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
PO464: Optimisation of the installation of an Active Fluid Gurney Flap in a NREL Phase IV wind turbine for increased power and better stall control
Andreu Carbó Molina, Assistant Professor, Universidad Rey Juan Carlos
Abstract
An Active Fluid Gurney Flap (AFGF) technology has been proposed to enhance the performance of a SC809 airfoil [1]. This airfoil is used in the widely known NREL Phase IV wind turbine, for which multiple experimental data are available [2]. The AFGF technology consists of injecting pressurized air through orifices situated close to the trailing edge of the airfoil. This generates a flow field similar to that of the Gurney flap, but with the added advantage that it can be switched on and off and its effect can be regulated depending on the operating conditions. CFD simulations show that the use of this device in the SC809 airfoil significantly increases the lift coefficient, although at high injection pressures, the power consumed can be considerable, necessitating an energy balance to identify optimal operational points. Experimental wind tunnel tests are used to confirm this hypothesis accounting for the complexity of the set-up, as the fluid injection position along the blade span is also a key factor to be identified. Starting from numerical and experimental results of the effect of the AFGF in the SC809 airfoil, a Blade Element Momentum (BEM) model is implemented to extrapolate the device’s effect on the overall wind turbine power output [3]. The BEM code is first validated with the available experimental data from the NREL Phase IV turbine. The polar curves obtained in the 2D studies are then introduced in the code to obtain the new performance parameters. The input and operating conditions strongly influence the turbine performance and operation. Therefore, gradient-free optimization techniques such as genetic algorithms and simulated annealing [4-7] are used to evaluate those parameters and achieve an optimal AFGF distribution that could be implemented in a commercial turbine to maximize wind power harvesting.
No recording available for this poster.
