FENSAP-ICE Simulation of Complex Wind Turbine Icing Events, and Comparison to Observed Performance Data

Switchenko, David; Habashi, Wagdi G.; Reid, Thomas; Ozcer, Isik; Baruzzi, Guido S.

doi:10.2514/6.2014-1399

Cited by 19 publications

(17 citation statements)

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“…Cold‐climate regions typically contain a high wind resource, and the higher density air allows for more extraction of power from the wind; however, these cold‐climate regions expose wind turbines to atmospheric icing conditions. Many studies show that wind turbine icing events lead to severe power degradation . This results in significant losses of revenue for wind turbine operators during the winter season and an Annual Energy Production (AEP) loss of up to 20% .…”

Section: Introductionmentioning

confidence: 99%

“…Ice accretion simulations can provide 2D ice accretion profiles, but are not capable of simulating small‐scale 3D roughness elements. The latter can be modeled by approximations of equivalent sandgrain roughness . However, surface roughness characteristics of an iced airfoil are critical to predicting the correct airfoil drag and associated performance losses.…”

Section: Introductionmentioning

confidence: 99%

“…Switchenko et al . suggest that surface roughness can, at times, be more significant than the actual size, shape and location of the accreted ice. They further advise that more research is needed in the area of surface roughness effects for particular icing conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Many recent studies focusing on reduced wind turbine performance due to icing are investigated with the use of computational simulations of both ice accretion and aerodynamics. 8,9,12,13,19,22 These simulations are very useful in predicting icing impacts on AEP for a particular wind site, but they are also limited in accuracy and lack adequate validation. Ice accretion simulations can provide 2D ice accretion profiles, but are not capable of simulating small-scale 3D roughness elements.…”

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confidence: 99%

“…The latter can be modeled by approximations of equivalent sandgrain roughness. 19 However, surface roughness characteristics of an iced airfoil are critical to predicting the correct airfoil drag and associated performance losses. This is because drag increase is governed by changes in the airfoil boundary layer that are initiated by icing roughness.…”

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Effect of icing roughness on wind turbine power production

2016

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The objective of this work is a quantitative analysis of power loss of a representative 1.5‐MW wind turbine subject to various icing conditions. Aerodynamic performance data are measured using a combination of ice accretion experiments and wind tunnel tests. Atmospheric icing conditions varying in static temperature, droplet diameter and liquid water content are generated in an icing facility to simulate a 45‐min icing event on a DU 93‐W‐210 airfoil at flow conditions pertinent to 80% blade span on a 1.5‐MW wind turbine. Iced airfoil shapes are molded for preservation and casted for subsequent wind tunnel testing. In general, ice shapes are similar in 2D profile, but vary in 3D surface roughness elements and in the ice impingement length. Both roughness heights and roughness impingement zones are measured. A 16% loss of airfoil lift at operational angle of attack is observed for freezing fog conditions. Airfoil drag increases by 190% at temperatures near 0° C, 145% near 10° C and 80% near 20° C. For a freezing drizzle icing condition, lift loss and drag rise are more severe at 25% and 220%, respectively. An analysis of the wind turbine aerodynamic loads in Region II leads to power losses ranging from 16% to 22% for freezing fog conditions and 26% for a freezing drizzle condition. Differences in power loss between icing conditions are correlated to variance in temperature, ice surface roughness and ice impingement length. Some potential control strategies are discussed for wind turbine operators attempting to minimize revenue loss in cold‐climate regions. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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