TY - JOUR
T1 - Piecewise linear aeroelastic rotor-tower models for efficient wind turbine simulations
AU - MacQuart, T.
AU - Scott, S.
AU - Weaver, P. M.
AU - Pirrera, A.
N1 - Publisher Copyright:
© 2020 Published under licence by IOP Publishing Ltd.
PY - 2020/9/22
Y1 - 2020/9/22
N2 - The development of software and methodologies able to efficiently and accurately predict the aeroelastic performance of wind turbines at low computational cost - enabling the rapid turnaround of novel concepts - is key to further reducing the levelised cost of energy. However, even the conventional low fidelity methods used for preliminary blade and rotor design are computationally expensive. The authors propose to improve the computational efficiency of dynamic aeroelastic time domain simulations by substituting conventional models with a piecewise linear aeroelastic rotor-tower model. This novel piecewise linear model is described and compared against standard modelling tools in this paper. Results suggest that piecewise linear rotor-tower models can be used to accurately capture the aeroelastic dynamic of wind turbine blades, with a significant (5 - 20) reduction in computational costs.
AB - The development of software and methodologies able to efficiently and accurately predict the aeroelastic performance of wind turbines at low computational cost - enabling the rapid turnaround of novel concepts - is key to further reducing the levelised cost of energy. However, even the conventional low fidelity methods used for preliminary blade and rotor design are computationally expensive. The authors propose to improve the computational efficiency of dynamic aeroelastic time domain simulations by substituting conventional models with a piecewise linear aeroelastic rotor-tower model. This novel piecewise linear model is described and compared against standard modelling tools in this paper. Results suggest that piecewise linear rotor-tower models can be used to accurately capture the aeroelastic dynamic of wind turbine blades, with a significant (5 - 20) reduction in computational costs.
UR - http://www.scopus.com/inward/record.url?scp=85092749120&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1618/4/042033
DO - 10.1088/1742-6596/1618/4/042033
M3 - Conference article
AN - SCOPUS:85092749120
SN - 1742-6588
VL - 1618
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 4
M1 - 042033
T2 - Science of Making Torque from Wind 2020, TORQUE 2020
Y2 - 28 September 2020 through 2 October 2020
ER -