Surrogate models for the blade element  momentum aerodynamic model using  non-intrusive polynomial chaos expansions

Haghi, Rad; Crawford, Curran

doi:https://doi.org/10.5194/wes-7-1289-2022

Articles | Volume 7, issue 3

https://doi.org/10.5194/wes-7-1289-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-1289-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 3

Research article

|

27 Jun 2022

Research article |

| 27 Jun 2022

Surrogate models for the blade element momentum aerodynamic model using non-intrusive polynomial chaos expansions

Rad Haghi and Curran Crawford

Model code and software

Surrogate models for the blade element momentum aerodynamic model using non-intrusive Polynomial Chaos Expansions Rad Haghi https://doi.org/10.5281/zenodo.6629723

Short summary

Based on the IEC standards, a limited number of simulations is sufficient to calculate the extreme and fatigue loads on a wind turbine. However, this means inaccuracy in the output statistics. This paper aims to build a surrogate model on blade element momentum aerodynamic model simulation output employing non-intrusive polynomial chaos expansion. The surrogate model is then used in a large number of Monte Carlo simulations to provide an accurate statistical estimate of the loads.