Open AccessUncertainty Quantification of Leading Edge Erosion Impacts on Wind Turbine Performance
Author(s) -
David Charles Maniaci,
Carsten Westergaard,
Alan Hsieh,
Joshua Paquette
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1618/5/052082
Subject(s) - turbine , wind power , environmental science , marine engineering , erosion , work (physics) , enhanced data rates for gsm evolution , leading edge , fidelity , wind speed , meteorology , computer science , engineering , geology , aerospace engineering , mechanical engineering , physics , paleontology , telecommunications , electrical engineering
Many factors that influence the effect of leading edge erosion on annual energy production are uncertain, such as the time to initiation, damage growth rate, the blade design, operational conditions, and atmospheric conditions. In this work, we explore how the uncertain parameters that drive leading edge erosion impact wind turbine power performance using a combination of uncertainty quantification and wind turbine modelling tools, at both low and medium fidelity. Results will include the predicted effect of erosion on several example wind plant sites for representative ranges of wind turbine designs, with a goal of helping wind plant operators better decide mitigation strategies.