Articles | Volume 3, issue 2
https://doi.org/10.5194/wes-3-729-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-3-729-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Extending the life of wind turbine blade leading edges by reducing the tip speed during extreme precipitation events
Jakob Ilsted Bech
CORRESPONDING AUTHOR
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
Charlotte Bay Hasager
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
Christian Bak
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
Viewed
Total article views: 7,825 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Feb 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
5,401 | 2,288 | 136 | 7,825 | 135 | 113 |
- HTML: 5,401
- PDF: 2,288
- XML: 136
- Total: 7,825
- BibTeX: 135
- EndNote: 113
Total article views: 6,034 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Oct 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
4,594 | 1,325 | 115 | 6,034 | 125 | 101 |
- HTML: 4,594
- PDF: 1,325
- XML: 115
- Total: 6,034
- BibTeX: 125
- EndNote: 101
Total article views: 1,791 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Feb 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
807 | 963 | 21 | 1,791 | 10 | 12 |
- HTML: 807
- PDF: 963
- XML: 21
- Total: 1,791
- BibTeX: 10
- EndNote: 12
Viewed (geographical distribution)
Total article views: 7,825 (including HTML, PDF, and XML)
Thereof 6,608 with geography defined
and 1,217 with unknown origin.
Total article views: 6,034 (including HTML, PDF, and XML)
Thereof 4,938 with geography defined
and 1,096 with unknown origin.
Total article views: 1,791 (including HTML, PDF, and XML)
Thereof 1,670 with geography defined
and 121 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
73 citations as recorded by crossref.
- Optimization of the erosion-safe operation of the IEA Wind 15 MW Reference Wind Turbine W. Skrzypiński et al. 10.1088/1742-6596/1618/5/052034
- Rainfall Kinetic Energy in Denmark: Relationship with Drop Size, Wind Speed, and Rain Rate A. Tilg et al. 10.1175/JHM-D-19-0251.1
- Potential of Mini Gurney Flaps as a Retrofit to Mitigate the Performance Degradation of Wind Turbine Blades Induced by Erosion F. Papi et al. 10.1088/1742-6596/2265/3/032046
- Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer W. Shaw et al. 10.5194/wes-7-2307-2022
- A model to estimate the effect of variables causing erosion in wind turbine blades R. Prieto & T. Karlsson 10.1002/we.2615
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- From wind conditions to operational strategy: optimal planning of wind turbine damage progression over its lifetime N. Requate et al. 10.5194/wes-8-1727-2023
- Analysis of performance improvement methods for offshore wind turbine blades affected by leading edge erosion Y. Zhang et al. 10.1016/j.oceaneng.2024.118773
- Experimental evaluation of fatigue in wind turbine blades with wake effects J. Pacheco et al. 10.1016/j.engstruct.2023.117140
- Erosion-safe operation using double deep Q-learning J. Visbech et al. 10.1088/1742-6596/2767/3/032047
- Extending the Lifetime of Offshore Wind Turbines: Challenges and Opportunities M. Shafiee 10.3390/en17164191
- A probabilistic long‐term framework for site‐specific erosion analysis of wind turbine blades: A case study of 31 Dutch sites A. Shankar Verma et al. 10.1002/we.2634
- Lifetime prediction of turbine blades using global precipitation products from satellites M. Badger et al. 10.5194/wes-7-2497-2022
- Damage evolution simulation and lifetime prediction for composite blades under continuous droplet impacts J. Zhang et al. 10.1016/j.ijfatigue.2024.108638
- Assessment of the rain and wind climate with focus on wind turbine blade leading edge erosion rate and expected lifetime in Danish Seas C. Hasager et al. 10.1016/j.renene.2019.12.043
- Investigation on aerodynamic noise for leading edge erosion of wind turbine blade H. Wang & B. Chen 10.1016/j.jweia.2023.105484
- A novel robust edge detection method for full-field modal parameter estimation using an image-based tracking continuously scanning laser Doppler vibrometer system L. Lyu et al. 10.1016/j.ymssp.2023.110242
- Leading edge erosion of wind turbine blades: Understanding, prevention and protection L. Mishnaevsky et al. 10.1016/j.renene.2021.01.044
- Uncertainty Quantification of Leading Edge Erosion Impacts on Wind Turbine Performance D. Maniaci et al. 10.1088/1742-6596/1618/5/052082
- Impact of meteorological data factors and material characterization method on the predictions of leading edge erosion of wind turbine blades A. Castorrini et al. 10.1016/j.renene.2024.120549
- Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research S. Pryor et al. 10.3390/en15228553
- Active damage mitigation of the blade leading edge erosion for a wind turbine during rainfall events Á. Ripoll et al. 10.1088/1757-899X/1294/1/012001
- WRF Modeling of Deep Convection and Hail for Wind Power Applications F. Letson et al. 10.1175/JAMC-D-20-0033.1
- Generation of Surface Maps of Erosion Resistance for Wind Turbine Blades under Rain Flows A. Castorrini et al. 10.3390/en15155593
- Wind turbine blade leading-edge erosion: laboratory experiments and image processing under an engaged learning experience R. Barthelmie et al. 10.1088/1742-6596/1452/1/012046
- Sub-Regional Variability in Wind Turbine Blade Leading-Edge Erosion Potential F. Letson et al. 10.1088/1742-6596/1618/3/032046
- A wind turbine blade leading edge rain erosion computational framework J. López et al. 10.1016/j.renene.2022.12.050
- Radar-derived precipitation climatology for wind turbine blade leading edge erosion F. Letson et al. 10.5194/wes-5-331-2020
- A new approach for comparability of two- and three-bladed 20 MW offshore wind turbines F. Anstock et al. 10.1088/1742-6596/1356/1/012008
- Brief communication: Nowcasting of precipitation for leading-edge-erosion-safe mode A. Tilg et al. 10.5194/wes-5-977-2020
- Automated Quantification of Wind Turbine Blade Leading Edge Erosion from Field Images J. Aird et al. 10.3390/en16062820
- Evaluation of wind turbine blades’ rain-induced leading edge erosion using rainfall measurements at offshore, coastal and onshore locations in the Netherlands M. Caboni et al. 10.1088/1742-6596/2767/6/062003
- Sustainable End-of-Life Management of Wind Turbine Blades: Overview of Current and Coming Solutions L. Mishnaevsky 10.3390/ma14051124
- Effects of Onshore and Offshore Environmental Parameters on the Leading Edge Erosion of Wind Turbine Blades: A Comparative Study A. Shankar Verma et al. 10.1115/1.4049248
- Wind turbine rotor speed design optimization considering rain erosion based on deep reinforcement learning J. Fang et al. 10.1016/j.rser.2022.112788
- Recent Progress in the Development and Evaluation of Rain and Solid Particle Erosion Resistant Coatings for Leading Edge Protection of Wind Turbine Blades P. Bera et al. 10.1080/15583724.2023.2270050
- Characterisation of the offshore precipitation environment to help combat leading edge erosion of wind turbine blades R. Herring et al. 10.5194/wes-5-1399-2020
- Grand Challenges in Wind Energy Research D. Wood 10.3389/fenrg.2020.624646
- Experimentally validated three‐dimensional computational aerodynamics of wind turbine blade sections featuring leading edge erosion cavities M. Campobasso et al. 10.1002/we.2666
- Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades G. Duthé et al. 10.3390/en14217262
- A probabilistic rainfall model to estimate the leading-edge lifetime of wind turbine blade coating system A. Verma et al. 10.1016/j.renene.2021.06.122
- An autonomous decision-making agent for offshore wind turbine blades under leading edge erosion J. Lopez & A. Kolios 10.1016/j.renene.2024.120525
- Repair of wind turbine blades: Review of methods and related computational mechanics problems L. Mishnaevsky 10.1016/j.renene.2019.03.113
- From Hydrometeor Size Distribution Measurements to Projections of Wind Turbine Blade Leading-Edge Erosion F. Letson & S. Pryor 10.3390/en16093906
- HyDesign: a tool for sizing optimization of grid-connected hybrid power plants including wind, solar photovoltaic, and lithium-ion batteries J. Murcia Leon et al. 10.5194/wes-9-759-2024
- Rain erosion-resistant coatings for wind turbine blades: A review A. Dashtkar et al. 10.1177/0967391119848232
- Performance analysis of wind turbines with leading-edge erosion and erosion-safe mode operation N. Barfknecht et al. 10.1088/1742-6596/2265/3/032009
- Toolbox for optimizing anti‐erosion protective coatings of wind turbine blades: Overview of mechanisms and technical solutions L. Mishnaevsky 10.1002/we.2378
- Mitigating blade erosion damage through nowcast-driven erosion-safe mode control N. Barfknecht et al. 10.1088/1742-6596/2767/3/032001
- Leading edge erosion of wind turbines: Effect of solid airborne particles and rain on operational wind farms H. Law & V. Koutsos 10.1002/we.2540
- Scale invariant relationship between rainfall kinetic energy and intensity in Paris region: An evaluation using universal multifractal framework J. Jose et al. 10.1016/j.jhydrol.2022.127715
- Uncertainty quantification on the effects of rain-induced erosion on annual energy production and performance of a Multi-MW wind turbine F. Papi et al. 10.1016/j.renene.2020.11.071
- A computational framework for coating fatigue analysis of wind turbine blades due to rain erosion W. Hu et al. 10.1016/j.renene.2021.01.094
- Probabilistic and Risk-Informed Life Extension Assessment of Wind Turbine Structural Components J. Nielsen et al. 10.3390/en14040821
- Aerodynamic effects of leading-edge erosion in wind farm flow modeling J. Visbech et al. 10.5194/wes-9-1811-2024
- Modelling Hail and Convective storms with WRF for Wind Energy Applications F. Letson et al. 10.1088/1742-6596/1452/1/012051
- Costs of repair of wind turbine blades: Influence of technology aspects L. Mishnaevsky & K. Thomsen 10.1002/we.2552
- Damage Mechanism Based Approach to the Structural Health Monitoring of Wind Turbine Blades M. McGugan & L. Mishnaevsky 10.3390/coatings10121223
- Stochastic Estimator Based Adaptive Sliding Mode Control for a Quadrotor in Rainy Flight Conditions N. Hamdadou et al. 10.1142/S2301385024500092
- Root Causes and Mechanisms of Failure of Wind Turbine Blades: Overview L. Mishnaevsky 10.3390/ma15092959
- Characterization of a pulsating water jet for rain erosion testing of blade coatings: Flow visualization, pressure investigation, and damage analysis Z. Wu et al. 10.1016/j.mtcomm.2024.109898
- Rain erosion of wind turbine blades and the effect of air bubbles in the coatings S. Fæster et al. 10.1002/we.2617
- Continuum damage mechanics based computational framework for prediction of the lifetime and degradation of wind turbine coatings with defects V. Pandey et al. 10.1016/j.engfailanal.2023.107641
- Introducing a data-driven approach to predict site-specific leading-edge erosion from mesoscale weather simulations J. Visbech et al. 10.5194/wes-8-173-2023
- Rain Erosion Load and Its Effect on Leading-Edge Lifetime and Potential of Erosion-Safe Mode at Wind Turbines in the North Sea and Baltic Sea C. Hasager et al. 10.3390/en14071959
- Water Droplet Erosion of Wind Turbine Blades: Mechanics, Testing, Modeling and Future Perspectives M. Elhadi Ibrahim & M. Medraj 10.3390/ma13010157
- A spectral model generalising the surface perturbations from leading edge erosion and its application in CFD A. Meyer Forsting et al. 10.1088/1742-6596/2265/3/032036
- Methodology for the energetic characterisation of rain erosion on wind turbine blades using meteorological data: A case study for The Netherlands L. Bartolomé & J. Teuwen 10.1002/we.2597
- Mapping of Meteorological Observations over the Island of Ireland to Enhance the Understanding and Prediction of Rain Erosion in Wind Turbine Blades J. Nash et al. 10.3390/en14154555
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- The influence of leading edge roughness, rotor control and wind climate on the loss in energy production C. Bak et al. 10.1088/1742-6596/1618/5/052050
- Experimental study on the effect of drop size in rain erosion test and on lifetime prediction of wind turbine blades J. Bech et al. 10.1016/j.renene.2022.06.127
- Risk-based approach for rational categorization of damage observations from wind turbine blade inspections N. Dimitrov 10.1088/1742-6596/1037/4/042021
72 citations as recorded by crossref.
- Optimization of the erosion-safe operation of the IEA Wind 15 MW Reference Wind Turbine W. Skrzypiński et al. 10.1088/1742-6596/1618/5/052034
- Rainfall Kinetic Energy in Denmark: Relationship with Drop Size, Wind Speed, and Rain Rate A. Tilg et al. 10.1175/JHM-D-19-0251.1
- Potential of Mini Gurney Flaps as a Retrofit to Mitigate the Performance Degradation of Wind Turbine Blades Induced by Erosion F. Papi et al. 10.1088/1742-6596/2265/3/032046
- Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer W. Shaw et al. 10.5194/wes-7-2307-2022
- A model to estimate the effect of variables causing erosion in wind turbine blades R. Prieto & T. Karlsson 10.1002/we.2615
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- From wind conditions to operational strategy: optimal planning of wind turbine damage progression over its lifetime N. Requate et al. 10.5194/wes-8-1727-2023
- Analysis of performance improvement methods for offshore wind turbine blades affected by leading edge erosion Y. Zhang et al. 10.1016/j.oceaneng.2024.118773
- Experimental evaluation of fatigue in wind turbine blades with wake effects J. Pacheco et al. 10.1016/j.engstruct.2023.117140
- Erosion-safe operation using double deep Q-learning J. Visbech et al. 10.1088/1742-6596/2767/3/032047
- Extending the Lifetime of Offshore Wind Turbines: Challenges and Opportunities M. Shafiee 10.3390/en17164191
- A probabilistic long‐term framework for site‐specific erosion analysis of wind turbine blades: A case study of 31 Dutch sites A. Shankar Verma et al. 10.1002/we.2634
- Lifetime prediction of turbine blades using global precipitation products from satellites M. Badger et al. 10.5194/wes-7-2497-2022
- Damage evolution simulation and lifetime prediction for composite blades under continuous droplet impacts J. Zhang et al. 10.1016/j.ijfatigue.2024.108638
- Assessment of the rain and wind climate with focus on wind turbine blade leading edge erosion rate and expected lifetime in Danish Seas C. Hasager et al. 10.1016/j.renene.2019.12.043
- Investigation on aerodynamic noise for leading edge erosion of wind turbine blade H. Wang & B. Chen 10.1016/j.jweia.2023.105484
- A novel robust edge detection method for full-field modal parameter estimation using an image-based tracking continuously scanning laser Doppler vibrometer system L. Lyu et al. 10.1016/j.ymssp.2023.110242
- Leading edge erosion of wind turbine blades: Understanding, prevention and protection L. Mishnaevsky et al. 10.1016/j.renene.2021.01.044
- Uncertainty Quantification of Leading Edge Erosion Impacts on Wind Turbine Performance D. Maniaci et al. 10.1088/1742-6596/1618/5/052082
- Impact of meteorological data factors and material characterization method on the predictions of leading edge erosion of wind turbine blades A. Castorrini et al. 10.1016/j.renene.2024.120549
- Atmospheric Drivers of Wind Turbine Blade Leading Edge Erosion: Review and Recommendations for Future Research S. Pryor et al. 10.3390/en15228553
- Active damage mitigation of the blade leading edge erosion for a wind turbine during rainfall events Á. Ripoll et al. 10.1088/1757-899X/1294/1/012001
- WRF Modeling of Deep Convection and Hail for Wind Power Applications F. Letson et al. 10.1175/JAMC-D-20-0033.1
- Generation of Surface Maps of Erosion Resistance for Wind Turbine Blades under Rain Flows A. Castorrini et al. 10.3390/en15155593
- Wind turbine blade leading-edge erosion: laboratory experiments and image processing under an engaged learning experience R. Barthelmie et al. 10.1088/1742-6596/1452/1/012046
- Sub-Regional Variability in Wind Turbine Blade Leading-Edge Erosion Potential F. Letson et al. 10.1088/1742-6596/1618/3/032046
- A wind turbine blade leading edge rain erosion computational framework J. López et al. 10.1016/j.renene.2022.12.050
- Radar-derived precipitation climatology for wind turbine blade leading edge erosion F. Letson et al. 10.5194/wes-5-331-2020
- A new approach for comparability of two- and three-bladed 20 MW offshore wind turbines F. Anstock et al. 10.1088/1742-6596/1356/1/012008
- Brief communication: Nowcasting of precipitation for leading-edge-erosion-safe mode A. Tilg et al. 10.5194/wes-5-977-2020
- Automated Quantification of Wind Turbine Blade Leading Edge Erosion from Field Images J. Aird et al. 10.3390/en16062820
- Evaluation of wind turbine blades’ rain-induced leading edge erosion using rainfall measurements at offshore, coastal and onshore locations in the Netherlands M. Caboni et al. 10.1088/1742-6596/2767/6/062003
- Sustainable End-of-Life Management of Wind Turbine Blades: Overview of Current and Coming Solutions L. Mishnaevsky 10.3390/ma14051124
- Effects of Onshore and Offshore Environmental Parameters on the Leading Edge Erosion of Wind Turbine Blades: A Comparative Study A. Shankar Verma et al. 10.1115/1.4049248
- Wind turbine rotor speed design optimization considering rain erosion based on deep reinforcement learning J. Fang et al. 10.1016/j.rser.2022.112788
- Recent Progress in the Development and Evaluation of Rain and Solid Particle Erosion Resistant Coatings for Leading Edge Protection of Wind Turbine Blades P. Bera et al. 10.1080/15583724.2023.2270050
- Characterisation of the offshore precipitation environment to help combat leading edge erosion of wind turbine blades R. Herring et al. 10.5194/wes-5-1399-2020
- Grand Challenges in Wind Energy Research D. Wood 10.3389/fenrg.2020.624646
- Experimentally validated three‐dimensional computational aerodynamics of wind turbine blade sections featuring leading edge erosion cavities M. Campobasso et al. 10.1002/we.2666
- Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades G. Duthé et al. 10.3390/en14217262
- A probabilistic rainfall model to estimate the leading-edge lifetime of wind turbine blade coating system A. Verma et al. 10.1016/j.renene.2021.06.122
- An autonomous decision-making agent for offshore wind turbine blades under leading edge erosion J. Lopez & A. Kolios 10.1016/j.renene.2024.120525
- Repair of wind turbine blades: Review of methods and related computational mechanics problems L. Mishnaevsky 10.1016/j.renene.2019.03.113
- From Hydrometeor Size Distribution Measurements to Projections of Wind Turbine Blade Leading-Edge Erosion F. Letson & S. Pryor 10.3390/en16093906
- HyDesign: a tool for sizing optimization of grid-connected hybrid power plants including wind, solar photovoltaic, and lithium-ion batteries J. Murcia Leon et al. 10.5194/wes-9-759-2024
- Rain erosion-resistant coatings for wind turbine blades: A review A. Dashtkar et al. 10.1177/0967391119848232
- Performance analysis of wind turbines with leading-edge erosion and erosion-safe mode operation N. Barfknecht et al. 10.1088/1742-6596/2265/3/032009
- Toolbox for optimizing anti‐erosion protective coatings of wind turbine blades: Overview of mechanisms and technical solutions L. Mishnaevsky 10.1002/we.2378
- Mitigating blade erosion damage through nowcast-driven erosion-safe mode control N. Barfknecht et al. 10.1088/1742-6596/2767/3/032001
- Leading edge erosion of wind turbines: Effect of solid airborne particles and rain on operational wind farms H. Law & V. Koutsos 10.1002/we.2540
- Scale invariant relationship between rainfall kinetic energy and intensity in Paris region: An evaluation using universal multifractal framework J. Jose et al. 10.1016/j.jhydrol.2022.127715
- Uncertainty quantification on the effects of rain-induced erosion on annual energy production and performance of a Multi-MW wind turbine F. Papi et al. 10.1016/j.renene.2020.11.071
- A computational framework for coating fatigue analysis of wind turbine blades due to rain erosion W. Hu et al. 10.1016/j.renene.2021.01.094
- Probabilistic and Risk-Informed Life Extension Assessment of Wind Turbine Structural Components J. Nielsen et al. 10.3390/en14040821
- Aerodynamic effects of leading-edge erosion in wind farm flow modeling J. Visbech et al. 10.5194/wes-9-1811-2024
- Modelling Hail and Convective storms with WRF for Wind Energy Applications F. Letson et al. 10.1088/1742-6596/1452/1/012051
- Costs of repair of wind turbine blades: Influence of technology aspects L. Mishnaevsky & K. Thomsen 10.1002/we.2552
- Damage Mechanism Based Approach to the Structural Health Monitoring of Wind Turbine Blades M. McGugan & L. Mishnaevsky 10.3390/coatings10121223
- Stochastic Estimator Based Adaptive Sliding Mode Control for a Quadrotor in Rainy Flight Conditions N. Hamdadou et al. 10.1142/S2301385024500092
- Root Causes and Mechanisms of Failure of Wind Turbine Blades: Overview L. Mishnaevsky 10.3390/ma15092959
- Characterization of a pulsating water jet for rain erosion testing of blade coatings: Flow visualization, pressure investigation, and damage analysis Z. Wu et al. 10.1016/j.mtcomm.2024.109898
- Rain erosion of wind turbine blades and the effect of air bubbles in the coatings S. Fæster et al. 10.1002/we.2617
- Continuum damage mechanics based computational framework for prediction of the lifetime and degradation of wind turbine coatings with defects V. Pandey et al. 10.1016/j.engfailanal.2023.107641
- Introducing a data-driven approach to predict site-specific leading-edge erosion from mesoscale weather simulations J. Visbech et al. 10.5194/wes-8-173-2023
- Rain Erosion Load and Its Effect on Leading-Edge Lifetime and Potential of Erosion-Safe Mode at Wind Turbines in the North Sea and Baltic Sea C. Hasager et al. 10.3390/en14071959
- Water Droplet Erosion of Wind Turbine Blades: Mechanics, Testing, Modeling and Future Perspectives M. Elhadi Ibrahim & M. Medraj 10.3390/ma13010157
- A spectral model generalising the surface perturbations from leading edge erosion and its application in CFD A. Meyer Forsting et al. 10.1088/1742-6596/2265/3/032036
- Methodology for the energetic characterisation of rain erosion on wind turbine blades using meteorological data: A case study for The Netherlands L. Bartolomé & J. Teuwen 10.1002/we.2597
- Mapping of Meteorological Observations over the Island of Ireland to Enhance the Understanding and Prediction of Rain Erosion in Wind Turbine Blades J. Nash et al. 10.3390/en14154555
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- The influence of leading edge roughness, rotor control and wind climate on the loss in energy production C. Bak et al. 10.1088/1742-6596/1618/5/052050
- Experimental study on the effect of drop size in rain erosion test and on lifetime prediction of wind turbine blades J. Bech et al. 10.1016/j.renene.2022.06.127
Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
Rain erosion on wind turbine blades is a severe challenge for wind energy today. It causes significant losses in power production, and large sums are spent on inspection and repair.
Blade life can be extended, power production increased and maintenance costs reduced by rotor speed reduction at extreme precipitation events. Combining erosion test results, meteorological data and models of blade performance, we show that a turbine control strategy is a promising new weapon against blade erosion.
Rain erosion on wind turbine blades is a severe challenge for wind energy today. It causes...
Altmetrics
Final-revised paper
Preprint