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Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0002-6025-2280
Hydraulic Machinery Research Institute, School of Mechanical Engineering, College of Engineering, University of Tehran, Iran.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0001-7599-0895
2019 (English)In: Journal of energy resources technology, ISSN 0195-0738, E-ISSN 1528-8994, Vol. 141, no 5, article id 051210Article in journal (Refereed) Published
Abstract [en]

Icing of wind turbine blades poses a challenge for the wind power industry in cold cli-mate wind farms. It can lead to production losses of more than 10%of the annual energyproduction. Knowledge of how the production is affected by icing is of importance. Com-plicating this reality is the fact that even a small amount of uncertainty in the shape ofthe accreted ice may result in a large amount of uncertainty in the aerodynamic perform-ance metrics. This paper presents a numerical approach using the technique of polyno-mial chaos expansion (PCE) to quantify icing uncertainty faster than traditionalmethods. Time-dependent bi-dimensional Reynolds-averaged Navier–Stokes computa-tional fluid dynamics (RANS-CFD) simulations are considered to evaluate the aerody-namic characteristics at the chosen sample points. The boundary conditions are based onthree-dimensional simulations of the rotor. This approach is applied to the NREL 5 MWreference wind turbine allowing to estimate the power loss range due to the leading-edgeglaze ice, considering a radial section near the tip. The probability distribution functionof the power loss is also assessed. The results of the section are nondimensionalized andassumed valid for the other radial sections. A correlation is found allowing to model theload loss with respect to the glaze ice horn height, as well as the corresponding probabil-ity distribution. Considering an equal chance for any of the ice profiles, load loss is esti-mated to be lower than 6.5%for the entire blade in half of the icing cases, while it couldbe roughly 4–6 times in the most severe icings.

Place, publisher, year, edition, pages
New York: ASME , 2019. Vol. 141, no 5, article id 051210
National Category
Fluid Mechanics and Acoustics
Research subject
Fluid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-73729DOI: 10.1115/1.4042732ISI: 000464161100011Scopus ID: 2-s2.0-85063903323OAI: oai:DiVA.org:ltu-73729DiVA, id: diva2:1306435
Note

Validerad;2019;Nivå 2;2019-05-03 (johcin)

Available from: 2019-04-23 Created: 2019-04-23 Last updated: 2019-05-03Bibliographically approved

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Tabatabaei, NargesCervantes, Michel

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