LAPSE:2023.35844
Published Article

LAPSE:2023.35844
From Hydrometeor Size Distribution Measurements to Projections of Wind Turbine Blade Leading-Edge Erosion
May 24, 2023
Abstract
Wind turbine blade leading-edge erosion (LEE) is a cause of increased operation and maintenance costs and decreased annual energy production. Thus, detailed, site-specific quantification of likely erosion conditions are critically needed to inform wind plant owner/operator decisions regarding mitigation strategies. Estimating the damage potential at a wind plant site requires accurate measurement of precipitation intensity, phase, droplet size distributions, wind speeds and their joint statistics. The current work quantifies the effect of disdrometer type on the characterization of LEE potential at a site in the US Southern Great Plains. using observations from three co-located disdrometers (an optical, an impact and a video disdrometer), along with hub-height wind-speed observations from a Doppler lidar and two LEE models: a kinetic energy model and the Springer model. Estimates of total kinetic energy of hydrometeor impacts over the four-year study period vary by as much as 38%, and coating lifetime derived from accumulated distance-to-failure estimates from the Springer model differ by an even greater amount, depending on disdrometer type. Damage potential at this site is concentrated in time, with 50% of impact kinetic energy occurring in 6−12 h per year, depending on which set of disdrometer observations is used. Rotor-speed curtailment during the most erosive 0.1−0.2% of 10 min periods is found to increase blade lifetimes and lead to the lowest levelized cost of energy.
Wind turbine blade leading-edge erosion (LEE) is a cause of increased operation and maintenance costs and decreased annual energy production. Thus, detailed, site-specific quantification of likely erosion conditions are critically needed to inform wind plant owner/operator decisions regarding mitigation strategies. Estimating the damage potential at a wind plant site requires accurate measurement of precipitation intensity, phase, droplet size distributions, wind speeds and their joint statistics. The current work quantifies the effect of disdrometer type on the characterization of LEE potential at a site in the US Southern Great Plains. using observations from three co-located disdrometers (an optical, an impact and a video disdrometer), along with hub-height wind-speed observations from a Doppler lidar and two LEE models: a kinetic energy model and the Springer model. Estimates of total kinetic energy of hydrometeor impacts over the four-year study period vary by as much as 38%, and coating lifetime derived from accumulated distance-to-failure estimates from the Springer model differ by an even greater amount, depending on disdrometer type. Damage potential at this site is concentrated in time, with 50% of impact kinetic energy occurring in 6−12 h per year, depending on which set of disdrometer observations is used. Rotor-speed curtailment during the most erosive 0.1−0.2% of 10 min periods is found to increase blade lifetimes and lead to the lowest levelized cost of energy.
Record ID
Keywords
blade reliability, droplet size distributions, erosion, hail, hydrometeors, leading-edge erosion, metrology, wind energy, wind turbines
Subject
Suggested Citation
Letson F, Pryor SC. From Hydrometeor Size Distribution Measurements to Projections of Wind Turbine Blade Leading-Edge Erosion. (2023). LAPSE:2023.35844
Author Affiliations
Journal Name
Energies
Volume
16
Issue
9
First Page
3906
Year
2023
Publication Date
2023-05-05
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16093906, Publication Type: Journal Article
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Published Article

LAPSE:2023.35844
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https://doi.org/10.3390/en16093906
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[v1] (Original Submission)
May 24, 2023
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May 24, 2023
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https://psecommunity.org/LAPSE:2023.35844
Record Owner
Calvin Tsay
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