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References

Publications and standards referenced across this documentation.

Tipspeed publications

  • Davoust, S. (2024, June). Physics-based turbine performance analysis using wind flow models. WindEurope Technology Workshop, Dublin. Slides

  • Davoust, S. (2024, October). Performance testing using a wind farm digital twin. American Clean Power Resource & Technology Conference, Phoenix. Slides

  • Davoust, S., & Delaunay, F. (2025, June). Wind farm performance analysis using a physics-based digital twin. Wind Energy Science Conference, Nantes.

  • Davoust, S., & Delaunay, F. (2025, June). Operational wake loss estimation in non-homogeneous inflow and mixed layouts. Wind Energy Science Conference, Nantes. Slides (WindEurope Technology Workshop, Istanbul)

  • Tipspeed (2025, June). Yaw misalignment. WindEurope Technology Workshop, Istanbul. Slides

  • Tipspeed (2025, April). Automated yaw misalignment detection based on satellite imagery and numerical weather models. WindEurope Annual Conference, Copenhagen. Slides

  • Davoust, S. (2026, June). Large-scale field validation of site-specific turbine performance losses timeseries models. WindEurope Technology Workshop, Rotterdam. Abstract

  • Davoust, S., & Delaunay, F. (2026). Hybrid wake modeling: a machine learning framework for optimal weighting of physics-based prediction ensembles. In preparation for the Torque 2026 conference; presented at the WindEurope Annual Conference, Madrid (2026, April). Slides

  • Davoust, S. (2018). From real wind to actual power output — adjusting IEC TI and REWS correction. Proceedings of the Power Curve Working Group. PDF

Models and methods

  • Pedersen, M. M., van der Laan, P., Friis-Møller, M., Rinker, J., & Réthoré, P.-E. (2019). PyWake: an open-source wind farm simulation tool. DTU Wind Energy. Zenodo · Documentation

  • Nygaard, N. G., Steen, S. T., Poulsen, L., & Pedersen, J. G. (2020). Modelling cluster wakes and wind farm blockage. Journal of Physics: Conference Series, 1618(6), 062072. DOI

  • Rathmann, O. S., Hansen, B. O., Hansen, K. S., Mortensen, N. G., & Murcia Leon, J. P. (2018). The Park2 wake model — documentation and validation. DTU Wind Energy E-160. DTU Orbit

  • Zong, H., & Porté-Agel, F. (2020). A momentum-conserving wake superposition method for wind farm power prediction. Journal of Fluid Mechanics, 889, A8. DOI

  • Meyer Forsting, A., Rathmann, O. S., van der Laan, M. P., Troldborg, N., Gribben, B., Hawkes, G., & Branlard, E. (2021). Verification of induction zone models for wind farm annual energy production estimation. Journal of Physics: Conference Series, 1934(1), 012023. DOI

  • Crespo, A., & Hernández, J. (1996). Turbulence characteristics in wind-turbine wakes. Journal of Wind Engineering and Industrial Aerodynamics, 61(1), 71–85. DOI

  • Nygaard, N. G., Poulsen, L., Svensson, E., & Pedersen, J. G. (2022). Large-scale benchmarking of wake models for offshore wind farms. Journal of Physics: Conference Series, 2265(2), 022008. DOI

Standards

  • IEC 61400-12-1 (2017). Wind energy generation systems — Part 12-1: Power performance measurements of electricity producing wind turbines. International Electrotechnical Commission. IEC Webstore

  • IEC 61400-26-1 (2019). Wind energy generation systems — Part 26-1: Availability for wind energy generation systems. International Electrotechnical Commission. IEC Webstore