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Influence of Turbulence Model for Wind Turbine Simulation in Low Reynolds Number
Author
Source
International Journal of Rotating Machinery
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In designing a wind turbine, the validation of the mathematical model’s result is normally carried out by comparison with wind tunnel experiment data.
However, the Reynolds number of the wind tunnel experiment is low, and the flow does not match fully developed turbulence on the leading edge of a wind turbine blade.
Therefore, the transition area from laminar to turbulent flow becomes wide under these conditions, and the separation point is difficult to predict using turbulence models.
The prediction precision decreases dramatically when working with tip speed ratios less than the maximum power point.
This study carries out a steadiness calculation with turbulence model and an unsteadiness calculation with laminar model for a three-blade horizontal axis wind turbine.
The validation of the calculations is performed by comparing with experimental results.
The power coefficients calculated without turbulence models are in agreement with the experimental data for a tip speed ratio greater than 5.
American Psychological Association (APA)
Suzuki, Masami. 2016. Influence of Turbulence Model for Wind Turbine Simulation in Low Reynolds Number. International Journal of Rotating Machinery،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107044
Modern Language Association (MLA)
Suzuki, Masami. Influence of Turbulence Model for Wind Turbine Simulation in Low Reynolds Number. International Journal of Rotating Machinery No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1107044
American Medical Association (AMA)
Suzuki, Masami. Influence of Turbulence Model for Wind Turbine Simulation in Low Reynolds Number. International Journal of Rotating Machinery. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107044
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107044