Radar-derived precipitation climatology for wind turbine blade leading edge erosion
<p>Wind turbine blade leading edge erosion (LEE) is a potentially significant source of revenue loss for wind farm operators. Thus, it is important to advance understanding of the underlying causes, to generate geospatial estimates of erosion potential to provide guidance in pre-deployment pla...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-03-01
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| Series: | Wind Energy Science |
| Online Access: | https://www.wind-energ-sci.net/5/331/2020/wes-5-331-2020.pdf |
| _version_ | 1818792347332247552 |
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| author | F. Letson R. J. Barthelmie S. C. Pryor |
| author_facet | F. Letson R. J. Barthelmie S. C. Pryor |
| author_sort | F. Letson |
| collection | DOAJ |
| description | <p>Wind turbine blade leading edge erosion (LEE) is a potentially significant source of revenue loss for wind farm operators. Thus, it is important to advance understanding of the underlying causes, to generate geospatial estimates of erosion potential to provide guidance in pre-deployment planning, and ultimately to advance methods to mitigate this effect and extend blade lifetimes. This study focuses on the second issue and presents a novel approach to characterizing the erosion potential across the contiguous USA based solely on publicly available data products from the
National Weather Service dual-polarization radar. The approach is described
in detail and illustrated using six locations distributed across parts of
the USA that have substantial wind turbine deployments. Results from these
locations demonstrate the high spatial variability in precipitation-induced
erosion potential, illustrate the importance of low-probability high-impact
events to cumulative annual total kinetic energy transfer and emphasize the
importance of hail as a damage vector.</p> |
| first_indexed | 2024-12-18T15:25:48Z |
| format | Article |
| id | doaj.art-b59b7a44f0284fbb80202d0876f94416 |
| institution | Directory Open Access Journal |
| issn | 2366-7443 2366-7451 |
| language | English |
| last_indexed | 2024-12-18T15:25:48Z |
| publishDate | 2020-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Wind Energy Science |
| spelling | doaj.art-b59b7a44f0284fbb80202d0876f944162022-12-21T21:03:16ZengCopernicus PublicationsWind Energy Science2366-74432366-74512020-03-01533134710.5194/wes-5-331-2020Radar-derived precipitation climatology for wind turbine blade leading edge erosionF. Letson0R. J. Barthelmie1S. C. Pryor2Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, USADepartment of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York, USASibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York, USA<p>Wind turbine blade leading edge erosion (LEE) is a potentially significant source of revenue loss for wind farm operators. Thus, it is important to advance understanding of the underlying causes, to generate geospatial estimates of erosion potential to provide guidance in pre-deployment planning, and ultimately to advance methods to mitigate this effect and extend blade lifetimes. This study focuses on the second issue and presents a novel approach to characterizing the erosion potential across the contiguous USA based solely on publicly available data products from the National Weather Service dual-polarization radar. The approach is described in detail and illustrated using six locations distributed across parts of the USA that have substantial wind turbine deployments. Results from these locations demonstrate the high spatial variability in precipitation-induced erosion potential, illustrate the importance of low-probability high-impact events to cumulative annual total kinetic energy transfer and emphasize the importance of hail as a damage vector.</p>https://www.wind-energ-sci.net/5/331/2020/wes-5-331-2020.pdf |
| spellingShingle | F. Letson R. J. Barthelmie S. C. Pryor Radar-derived precipitation climatology for wind turbine blade leading edge erosion Wind Energy Science |
| title | Radar-derived precipitation climatology for wind turbine blade leading edge erosion |
| title_full | Radar-derived precipitation climatology for wind turbine blade leading edge erosion |
| title_fullStr | Radar-derived precipitation climatology for wind turbine blade leading edge erosion |
| title_full_unstemmed | Radar-derived precipitation climatology for wind turbine blade leading edge erosion |
| title_short | Radar-derived precipitation climatology for wind turbine blade leading edge erosion |
| title_sort | radar derived precipitation climatology for wind turbine blade leading edge erosion |
| url | https://www.wind-energ-sci.net/5/331/2020/wes-5-331-2020.pdf |
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