Numerical Simulation of Wind Turbine Rotors Autorotation by Using the Modified LS-STAG Immersed Boundary Method

Joint Authors

Marchevsky, Ilia K.
Puzikova, Valeria V.

Source

International Journal of Rotating Machinery

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-10-11

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mechanical Engineering

Abstract EN

A software package is developed for numerical simulation of wind turbine rotors autorotation by using the modified LS-STAG level-set/cut-cell immersed boundary method.

The level-set function is used for immersed boundaries description.

Algorithm of level-set function construction for complex-shaped airfoils, based on Bézier curves usage, is proposed.

Also, algorithm for the level-set function recalculation at any time without reconstructing the Bézier curve for each new rotor position is described.

The designed second-order Butterworth low-pass filter for aerodynamic torque filtration for simulations using coarse grids is presented.

To verify the modified LS-STAG method, the flow past autorotating Savonius rotor with two blades was simulated at Re=1.96·105.

American Psychological Association (APA)

Marchevsky, Ilia K.& Puzikova, Valeria V.. 2017. Numerical Simulation of Wind Turbine Rotors Autorotation by Using the Modified LS-STAG Immersed Boundary Method. International Journal of Rotating Machinery،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1169582

Modern Language Association (MLA)

Marchevsky, Ilia K.& Puzikova, Valeria V.. Numerical Simulation of Wind Turbine Rotors Autorotation by Using the Modified LS-STAG Immersed Boundary Method. International Journal of Rotating Machinery No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1169582

American Medical Association (AMA)

Marchevsky, Ilia K.& Puzikova, Valeria V.. Numerical Simulation of Wind Turbine Rotors Autorotation by Using the Modified LS-STAG Immersed Boundary Method. International Journal of Rotating Machinery. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1169582

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1169582