Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1289-2022
https://doi.org/10.5194/wes-7-1289-2022
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

Related authors

Data-driven surrogate model for wind turbine damage equivalent load
Rad Haghi and Curran Crawford
Wind Energ. Sci., 9, 2039–2062, https://doi.org/10.5194/wes-9-2039-2024,https://doi.org/10.5194/wes-9-2039-2024, 2024
Short summary
Surrogate models for unsteady aerodynamics using non-intrusive Polynomial Chaos Expansions
Rad Haghi and Curran Crawford
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2020-24,https://doi.org/10.5194/wes-2020-24, 2020
Revised manuscript not accepted

Related subject area

Thematic area: Wind and the atmosphere | Topic: Wind and turbulence
Observations of wind farm wake recovery at an operating wind farm
Raghavendra Krishnamurthy, Rob K. Newsom, Colleen M. Kaul, Stefano Letizia, Mikhail Pekour, Nicholas Hamilton, Duli Chand, Donna Flynn, Nicola Bodini, and Patrick Moriarty
Wind Energ. Sci., 10, 361–380, https://doi.org/10.5194/wes-10-361-2025,https://doi.org/10.5194/wes-10-361-2025, 2025
Short summary
Periods of constant wind speed: how long do they last in the turbulent atmospheric boundary layer?
Daniela Moreno, Jan Friedrich, Matthias Wächter, Jörg Schwarte, and Joachim Peinke
Wind Energ. Sci., 10, 347–360, https://doi.org/10.5194/wes-10-347-2025,https://doi.org/10.5194/wes-10-347-2025, 2025
Short summary
Characterization of local wind profiles: a random forest approach for enhanced wind profile extrapolation
Farkhondeh (Hanie) Rouholahnejad and Julia Gottschall
Wind Energ. Sci., 10, 143–159, https://doi.org/10.5194/wes-10-143-2025,https://doi.org/10.5194/wes-10-143-2025, 2025
Short summary
Simulations suggest offshore wind farms modify low-level jets
Daphne Quint, Julie K. Lundquist, and David Rosencrans
Wind Energ. Sci., 10, 117–142, https://doi.org/10.5194/wes-10-117-2025,https://doi.org/10.5194/wes-10-117-2025, 2025
Short summary
On the lidar-turbulence paradox and possible countermeasures
Alfredo Peña, Ginka G. Yankova, and Vasiliki Mallini
Wind Energ. Sci., 10, 83–102, https://doi.org/10.5194/wes-10-83-2025,https://doi.org/10.5194/wes-10-83-2025, 2025
Short summary

Cited articles

Ashuri, T., Zhang, T., Qian, D., and Rotea, M.: Uncertainty quantification of the levelized cost of energy for a 20 MW research wind turbine model, in: 34th Wind Energy Symposium, p. 1998, https://doi.org/10.2514/6.2016-1998, 2016. a
Barlas, T., Ramos-García, N., Pirrung, G. R., and González Horcas, S.: Surrogate-based aeroelastic design optimization of tip extensions on a modern 10 MW wind turbine, Wind Energ. Sci., 6, 491–504, https://doi.org/10.5194/wes-6-491-2021, 2021. a
Basu, A., Shioya, H., and Park, C.: Statistical Inference: The Minimum Distance Approach, Chapman & Hall/CRC Monographs on Statistics & Applied Probability, CRC Press, https://doi.org/10.1201/b10956, 2011. a
Bossanyi, E., Burton, T., Sharpe, D., and Jenkins, N.: Wind energy handbook, Wiley, New York, https://doi.org/10.1002/9781119992714, 2011. a, b
Dimitrov, N.: Surrogate models for parameterized representation of wake-induced loads in wind farms, Wind Energy, 22, 1371–1389, 2019. a
Download
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.
Share
Altmetrics
Final-revised paper
Preprint