IEA Wind TCP

Aihara, A. Tanaka, M., & Fujisawa, N. (2024). Influence of surface curvature on the impact force of water droplet. Journal of Applied Physics 136 (11)

Antoniou, A., Dyer, K., Finnegan, W., Herring, R., Holst, B., Bech, J. I., Katsivalis, I., Kutlualp, T., Mishnaevsky, L., Šakalyte, A., Sánchez, F., Teuwen, J., & Young, T. (2022). Multilayer leading edge protection systems of wind turbine blades: A review of material technology and damage modelling. In ECCM 2022 – Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability (Vol. 5, pp. 97-104). École Polytechnique Fédérale de Lausanne. https://research.tudelft.nl/en/publications/multilayer-leading-edge-protection-systems-of-wind-turbine-blades

Caboni, M., Slot, H.M., Bergman, G., Wouters, D.A.J., & Meijer, H.J.V.D.M. (2024). Evaluation of wind turbine blades’ rain-induced leading edge erosion using rainfall measurements at offshore, coastal and onshore locations in the netherlands. Journal of Physics 2767. https://iopscience.iop.org/article/10.1088/1742-6596/2767/6/062003/pdf

Castorrini, A., Barnabei, V.F., Domenech, L., A.Šakalyté, Sánchez, F., & Campobasso, M.S. (2024). Impact of meteorological data factors and material characterization method on the predictions of leading edge erosion of wind turbine blades. Renewable Energy https://doi.org/10.1016/j.renene.2024.120549

Hannesdóttir, Á., Dellwik, E., & Hasager, C. B. (2024). Prediction of rain erosion damage progression using disdrometer rain data: The importance of liquid water content. In The Science of Making Torque from Wind (TORQUE 2024): Measurement and testing Article 042024 IOP Publishing. https://doi.org/10.1088/1742-6596/2767/4/042024

Hannesdóttir, Á., Kral, S. T.,  Reuder, J., & Hasager, C.B. (2024). Rain erosion atlas for wind turbine blades based on ERA5 and NORA3 for Scandinavia, Results in Engineering, Volume 22, 2024, https://doi.org/10.1016/j.rineng.2024.102010.

Hao, H., Domenech, L., & Sánchez, F. (2024). Modeling Rain Erosion Surface Damage Initiation in Turbine Blades Based on Inspection Data at Wind Farms (December 18, 2024). Available at SSRN: https://ssrn.com/abstract=5062754

Hinzmann, C., Johansen, N. F.-J., Hasager, C. B., & Holst, B. (2024). Failsafe layer for wind turbine blades: Erosion protection of glass fiber composite through nanodiamond-treated flax composite top layer. Composites Part B: Engineering, 283, Article 111584. https://doi.org/10.1016/j.compositesb.2024.111584

Hinzmann, C., Johansen, N. F.-J., Hasager, C. B., & Holst, B. (2024). Towards greener wind power: Nanodiamond-treated flax fiber composites outperform standard glass fiber composites in impact fatigue tests. Composites Part A: Applied Science and Manufacturing, 186, Article 108342. https://doi.org/10.1016/j.compositesa.2024.108342

Letson F. & Pryor S.C. (2023). From Hydrometeor Size Distribution Measurements to Projections of Wind Turbine Blade Leading Edge Erosion. Energies, 16, 3906 https://doi.org/10.3390/en16093906

Kinsley, P., Porteous, S., Jones, S., Subramanian, P., Campo, O., & Dyer, K. (2025). Limitations of Standard Rain Erosion Tests for Wind Turbine Leading Edge Protection Evaluation. Wind, 5(1), 3. https://doi.org/10.3390/wind5010003

Malik, T. H., & Bak, C. (2024). Full-scale wind turbine performance assessment using the turbine performance integral (TPI) method: A study of aerodynamic degradation and operational influences. Wind Energy Science, 9(10), 2017-2037. https://doi.org/10.5194/wes-9-2017-2024

Malik, T. H., & Bak, C. (2025a). Challenges in detecting wind turbine power loss: the effects of blade erosion, turbulence, and time averaging. Wind Energy Science, 10, 227-243. https://doi.org/10.5194/wes-10-227-2025

Malik, T. H., & Bak, C. (2025b). Full-scale wind turbine performance assessment: a customised, sensor-augmented aeroelastic modelling approach. Wind Energy Science, 10, 269-291. https://doi.org/10.5194/wes-10-269-2025

Meyer Forsting, A., Olsen, A. S., Sørensen, N. N., & Bak, C. (2023). The impact of leading edge damage and repair on sectional aerodynamic performance. In Proceedings of AIAA SCITECH 2023 Forum Article 0968 Aerospace Research Central (ARC). https://doi.org/10.2514/6.2023-0968

Özçakmak, Ö. S., Bretos, D., Méndez, B., & Bak, C. (2024). Determination of annual energy production loss due to erosion on wind turbine blades. In The Science of Making Torque from Wind (TORQUE 2024): Aerodynamics, aeroleasticity, and aeroacustics Article 022066 IOP Publishing. https://doi.org/10.1088/1742-6596/2767/2/022066

Pryor, S.C., Barthelmie, R.J., Cadence, J., Dellwik, E., Hasager, C.B., Kral, S.T., Reuder, J., Rodgers, M., & Veraart, M. (2022). Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research. Energies, 15, 8553. https://doi.org/10.3390/en15228553

Pryor, S. C., Barthelmie, R. J., Coburn, J. J., Zhou, X., Rodgers, M., Norton, H., Campobasso, M. S., López, B. M., Hasager, C. B., & Mishnaevsky, L., Jr. (2024). Prioritizing Research for Enhancing the Technology Readiness Level of Wind Turbine Blade Leading-Edge Erosion Solutions. Energies, 17(24), 6285. https://www.mdpi.com/1996-1073/17/24/6285

Pryor, S. C., Coburn, J. J., & Barthelmie, R. J. (2025). Spatiotemporal Variability in Wind Turbine Blade Leading Edge Erosion. Energies, 18(2), 425. https://doi.org/10.3390/en18020425

Pryor, S. C., Letson, F. Shepherd, T. & Barthelmie, R. J. (2023). Evaluation of WRF Simulation of Deep Convection in the U.S. Southern Great Plains. J. Appl. Meteor. Climatol., 62, 41–62, https://doi.org/10.1175/JAMC-D-22-0090.1.

Sánchez, F., Hao, H., Domenech, L., Hardalupas, Y., García, V., Charalambides, M., Ibáñez-Arnal, M., Sergis, A., & Taylor, A. M. K. P., (2025). A review and assessment of the rain erosion damage initiation of wind turbine blades leading edge protection systems based on laboratory testing data and industrial recommended practice DNVGL-RP-0573 (March 04, 2025). Available at SSRN: https://ssrn.com/abstract=5165106 or http://dx.doi.org/10.2139/ssrn.5165106

Sánchez, F., Sakályte, A, Anshari,M.,  Wu, C.-Y., Teuven, J., Young, T., Olivares, A., & Domenech, L (2025). Erosion damage progression analysis for wind turbine blade material coatings based on comparison of accelerated rain erosion testing methods and polymer properties. SSRN ssrn-5172335 or http://dx.doi.org/10.2139/ssrn.5172335 

Tempelis, A., Jespersen, K.M., & Mishnaevsky, L., Jr. (2025). Fatigue damage mechanics approach to predict the end of incubation and breakthrough of leading edge protection coatings for wind turbine blades. Int. J. Fatigue 2025, 190, 108617.

Visbech, J., Göçmen, T., Özçakmak, Ö. S., Meyer Forsting, A., Hannesdóttir, Á., & Réthoré, P. E. (2024a). Aerodynamic effects of leading-edge erosion in wind farm flow modeling. Wind Energy Science, 9, 1811-1826. https://doi.org/10.5194/wes-9-1811-2024

Visbech, J., Göçmen, T., Réthoré, P.-E., & Hasager, C. B. (2024b). Erosion-safe operation using double deep Q-learning. In The Science of Making Torque from Wind (TORQUE 2024): Dynamics, control, and monitoring Article 032047 IOP Publishing. https://doi.org/10.1088/1742-6596/2767/3/032047