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http://dx.doi.org/10.5293/IJFMS.2014.7.1.016

Predicting Double-Blade Vertical Axis Wind Turbine Performance by a Quadruple-Multiple Streamtube Model  

Hara, Yutaka (Department of Mechanical and Aerospace Engineering, Tottori University)
Kawamura, Takafumi (Computational Fluid Dynamics Consulting Inc.)
Akimoto, Hiromichi (Division of Ocean Systems Engineering, KAIST)
Tanaka, Kenji (Department of Systems Innovations, The University of Tokyo)
Nakamura, Takuju (New Business Development, MODEC Inc.)
Mizumukai, Kentaro (New Business Development, MODEC Inc.)
Publication Information
International Journal of Fluid Machinery and Systems / v.7, no.1, 2014 , pp. 16-27 More about this Journal
Abstract
Double-blade vertical axis wind turbines (DB-VAWTs) can improve the self-starting performance of lift-driven VAWTs. We here propose the quadruple-multiple streamtube model (QMS), based on the blade element momentum (BEM) theory, for simulating DB-VAWT performance. Model validity is investigated by comparison to computational fluid dynamics (CFD) prediction for two kinds of two-dimensional DB-VAWT rotors for two rotor scales with three inner-outer radius ratios: 0.25, 0.5, and 0.75. The BEM-QMS model does not consider the effects of an inner rotor on the flow speed in the upwind half of the rotor, so we introduce a correction factor for this flow speed. The maximum power coefficient predicted by the modified BEM-QMS model for a DB-VAWT is thus closer to the CFD prediction.
Keywords
Wind turbine; Double-blade rotor; VAWT; BEM; CFD; QMS;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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