Projects per year
Abstract
Wind turbine blade leading edge erosion reduces the lift and increases the drag of the blade airfoils. This occurrence, in turn, reduces turbine power and energy yield. This study focuses on the aerodynamic analysis of large and sparse erosion cavities, observed in intermediate to advanced erosion stages, whose size and surface pattern do not lend themselves to experimental and numerical analysis by means of distributed roughness models alone. Making use of three-dimensional Navier-Stokes computational fluid dynamics enhanced by laminar-to-turbulent transition modeling, and geometrically resolving individual erosion cavities, the study validates this simulation-based approach for predicting the aerodynamics and performance loss of blade sections featuring the aforementioned erosion cavities against available experimental data. It is found that the considered cavities can trigger transition, indicating the necessity of both resolving their geometry in the simulations and also modeling distributed surface roughness, of typically lower level, as this latter affects the properties of boundary layers and, if sufficiently high, may trigger transition over the entire spanwise length affected. The energy yield loss of a utility-scale turbine due to the considered erosion pattern is found to be between 2.1% and 2.6% using measured and computed force data of the nominal and eroded outboard blade airfoil. A parametric analysis of the cavity geometry suggests that the geometry of the cavity edge has a much larger impact on aerodynamic performance than the cavity depth.
| Original language | English |
|---|---|
| Pages (from-to) | 168-189 |
| Number of pages | 22 |
| Journal | Wind Energy |
| Volume | 25 |
| Issue number | 1 |
| Early online date | 27/06/2021 |
| DOIs | |
| Publication status | Published - 31/01/2022 |
User-defined Keywords
- blade leading edge erosion
- erosion cavities
- wind turbine blade performance
- experimental validation
- wind turbine energy losses
- Mavier-Stokes CFD
- parametric geometry generation
- high-performance computing
Projects
- 1 Finished
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Parametric modelling of complex erosion damage patterns of wind turbine blade leading edges
Campobasso, S. (Principal Investigator)
1/01/20 → 31/03/21
Project: Research
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Validation of the Predictive Capabilities of Computational Aerodynamics Codes to Assess Eroded Blade Performance: First Aerodynamic Benchmark: International Energy Agency (IEA) Wind Task 46, Work-package 3: Wind turbine operation with erosion
Campobasso, S., Castorrini, A., Bretos, D., Mendez, B., Maniaci, D., Theron, J., Meyer Forsting, A., Sorensen,, N. N. & Vimalakanthan, K., 31/03/2025, International Energy Agency Wind Division 12 p.Research output: Contribution to specialist publication › Technical Report
Open AccessFile -
Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion
Cappugi, L., Castorrini, A., Bonfiglioli, A., Minisci, E. & Campobasso, S., 1/10/2021, In: Energy Conversion and Management. 245, 17 p., 114567.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access6 Citations (Scopus) -
Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD
Castorrini, A., Cappugi, L., Bonfiglioli, A. & Campobasso, S., 28/09/2020, In: Journal of Physics: Conference Series. 1618, 11 p., 052015.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open AccessFile3 Citations (Scopus)222 Downloads (Pure)
Activities
- 1 Oral presentation
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Challenges in Assessing the Aerodynamic Performance Degradation due to Severe Leading Edge Erosion by means of Erosion-Resolved Computational Fluid Dynamics
Campobasso, S. (Speaker), Ortolani, A. (Active Contributor) & Castorrini, A. (Active Contributor)
6/02/2024 → 8/02/2024Activity: Talk or presentation types › Oral presentation
File
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