Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session Q03: Energy Harvesting and Power Generation III
12:50 PM–3:26 PM,
Tuesday, November 20, 2018
Georgia World Congress Center
Room: B204
Chair: Richard Stevens, University of Twente
Abstract ID: BAPS.2018.DFD.Q03.11
Abstract: Q03.00011 : Finding the optimal soft material for the blades to improve wind turbine versatility.*
3:00 PM–3:13 PM
Presenter:
Vincent Cognet
(Laboratoire de Physique et Mecanique des Milieux Heterogenes (PMMH), CNRS, ESPCI Paris, PSL Research University, 7 quai Saint Bernard, 75005 Paris, France; Sorbonne Universit)
Authors:
Vincent Cognet
(Laboratoire de Physique et Mecanique des Milieux Heterogenes (PMMH), CNRS, ESPCI Paris, PSL Research University, 7 quai Saint Bernard, 75005 Paris, France; Sorbonne Universit)
Sylvain Courrech du Pont
(MSC Univ. Paris Diderot)
Benjamin Thiria
(Laboratoire de Physique et Mecanique des Milieux Heterogenes (PMMH), CNRS, ESPCI Paris, PSL Research University, 7 quai Saint Bernard, 75005 Paris, France; Sorbonne Universit)
Although pitch angle control enlarges the working range of Horizontal Axis Wind Turbine (HAWT), this active method is expensive, energy consuming and requires maintenance. Passive pitch control, using soft materials for the blades, proposes an interesting alternative.
It has been shown that reconfiguration of flexible blades with respect to tip speed ratio λ is governed by three dimensionless numbers: the initial pitch angle θ0, the Cauchy number CY (ratio between aerodynamic forces on the blade and elastic returning force), and the centrifugal number CC (ratio between centrifugal force and elastic returning force) [1].
In this presentation, we introduce a new procedure which finds the optimal set (θ0, CY, CC)opt corresponding to the soft materials able to passively reproduce the optimal deformation of the blade (ie the optimal variation of pitch angle θ with respect to λ) [2]. The procedure integrates BEM theory and works for constant wind velocity U, for constant angular velocity Ω, for constant resistive torque C, and for a torque proportional to angular velocity.
[1] V. Cognet et al. 2017. Bioinspired turbine blades offer new perspective for wind energy
[2] V. Cognet et al. 2017. Deformable blades to optimize rotors efficiency (Patent)
*Idex "ANR-10-IDEX-0001-02 PSL"
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.Q03.11
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