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Wind Turbines in Icing Conditions: Performance and Prediction : Volume 6, Issue 1 (06/09/2011)

By Dierer, S.

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Book Id: WPLBN0003989701
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Wind Turbines in Icing Conditions: Performance and Prediction : Volume 6, Issue 1 (06/09/2011)  
Author: Dierer, S.
Volume: Vol. 6, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Oechslin, R., Cattin, R., & Dierer, S. (2011). Wind Turbines in Icing Conditions: Performance and Prediction : Volume 6, Issue 1 (06/09/2011). Retrieved from http://www.ebooklibrary.org/


Description
Description: Meteotest, Fabrikstrasse 14, 3012 Bern, Switzerland. Icing on structures is an important issue for wind energy developments in many regions of the world. Unfortunately, information about icing conditions is mostly rare due to a lack of measurements. Additionally, there is not much known about the operation of wind turbines in icing conditions. It is the aim of the current study to investigate the effect of icing on power production and to evaluate the potential of icing forecasts to help optimizing wind turbine operation.

A test site with two Enercon E-82 turbines was set up in the Jura region in Switzerland in order to study the turbines' behaviour in icing conditions. Icing forecasts were performed by using an accretion model driven by results of the mesoscale weather forecast model WRF.

The icing frequency at the test site is determined from pictures of a camera looking at the measurement sensors on the nacelle. The results show that the site is affected by frequent icing: 11.5 days/year of meteorological icing and 41.5 days/year of instrumental icing were observed corresponding to a factor of about four. The comparison of power production with and without blade heating shows that blade heating results in a 3.5% loss and operation without blade heating results in a 10% loss of the annual power production due to icing. Icing forecasts are performed for winter 2009/2010. Simulated and observed icing events agree well and also coincide with periods of power drop. Thus, the results suggest that icing forecasts can help to optimize the operation of wind parks in icing conditions.


Summary
Wind turbines in icing conditions: performance and prediction

Excerpt
Homola, M. C., Nicklasson P. J., and Sundsbø, P. A.: Ice sensors for wind turbines, Journal of Cold Regions Science and Technology, 46, 125–131, 2006.; Dierer, S., Cattin, R., Steiner, P., Grünewald, T., Steinkogler, W., and Lehning, M.: Vereisungskarte der Schweiz, Final report of the project funded by the Federal Office of Energy, http://www.bfe.admin.ch/php/modules/enet/streamfile.php?file=000000010509.pdf&name=000000290299, 2010.; Frohboese, P. and Anders, A.: Effects of Icing on Wind Turbine Fatigue Loads, The Science of Making Torque from Wind, J. Physics, Conference Series, 75, 012061, doi:10.1088/1742-6596/75/1/012061, 2007.; Hochart, C., Fortin, G., Perron, J., and Ilinica, A.: Wind turbine performance under icing conditions, Wind Energy, 11, 319–333, 2008.; Homola, M. C., Wallenius, T., Makkonen, L., Nicklasson, P. J., and Sundsbo, P. A.: The relationship between chord length and rime icing on wind turbines, Wind Energy, 13, 627–632, 2010.; Jasinski, W. J., Noe, S. C., Selig, M. S., and Bragg, M. B.: Wind turbine performance under icing conditions, J. Sol. Energy Eng., 120, 60–65, 1998.; Karmouch, R., Coude, S., Abel, S., and Ross, G. G.: Icephobic PTFE coatings for wind turbines operating in cold climate conditions, Electrical Power & Energy Conference (EPEC), 2009 IEEE, doi:10.1109/EPEC.2009.5420897, 2009.; Makkonen, L.: Models for the growth of rime, glaze,icicles and wet snow on structures, Philos. T. R. Soc. A, 358, 1776, 2913–2939, 2000.; Parent, O. and Ilinca, A.: Anti-icing and de-icing techniques for wind turbines: critical review, Cold regions scrience and technology, 65, 88–96, 2011.; Seifert, H., Westerhellweg, A., and Kröning, J.: Risk Analysis of Ice Throw From Wind Turbines, BOREAS VI, 9 to 11 April 2003, Pyhä, Finland, 2003.; Skamarock, W. C., J. B. Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda, M., Huang, X.-Y., Wang, W., and Powers, J. G.: A Description of the Advanced Research WRF Version 3, NCAR Technical Note, 113, 2008.; Thompson, G., Rasmussen, R. M., and Manning, K.: Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis, Mon. Weather Rev., 132, 519–542, 2004.; Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization, Mon. Weather Rev., 136, 5095–5115, 2008.; Wang, X., Bibeau, E. L., and Naterer, G.: Experimental Investigation of energy losses due to icing of a wind turbine, Challenges of Power Engineering and Environment, 14, 1143–1147, doi:10.1007/978-3-540-76694-0_212, 2007.; Westerhellweg, A. and Mönnich, K.: Prediction of Power Production Losses due to Icing based on Icing Signs in Wind Measurements, extended abstract, po140, European Wind Energy Conference and Exhibition 2010, Warsaw, Poland, 2010.

 

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