Radar-derived precipitation climatology for wind turbine blade leading edge erosion

被引:27
作者
Letson, Frederick [1 ]
Barthelmie, Rebecca J. [2 ]
Pryor, Sara C. [1 ]
机构
[1] Cornell Univ, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USA
[2] Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY 14853 USA
关键词
RAIN-INDUCED EROSION; COMPUTATIONAL FRAMEWORK; HAIL; COATINGS; MODEL; CLASSIFICATION; VARIABILITY; SATELLITE; ALGORITHM; TRENDS;
D O I
10.5194/wes-5-331-2020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:331 / 347
页数:17
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