Monday, 30 May 2011

Wseas Transactions

New Subscription to Wseas Transactions

The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS
Transactions ID Number: 53-593
Full Name: Kamyar Mansour
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Aerospace Engineering Amirkabir University of Technology
Country: IRAN
Tel: +982164543216
Tel prefix:
Fax: +982166959020
E-mail address: mansour@aut.ac.ir
Other E-mails: kamy_mansour@yahoo.com
Title of the Paper: Effects of turbulence model in computational fluid dynamics of horizontal axis wind turbine aerodynamic
Authors as they appear in the Paper: Kamyar mansour, Mohsen yahyazade
Email addresses of all the authors: mansour@aut.ac.ir , kamy_mansour@yahoo.com ,yahyazade63@yahoo.com
Number of paper pages: 11
Abstract: The present paper report the numerical solution of horizontal axis wind turbines (HAWTs) of the aerodynamics by using computational fluid dynamics, CFD with three turbulence model, and compare these turbulence model results with experimental data to validate and determine which one is more reliable for numerical solution. Computational domain was divided in two zones; rotating and stationary .The numerical solution was carried out in the rotation zone, by solving conservation equations in a rotating reference frame. The blades have fixed 12° pitch angle and the computational results for different turbulent models such as standard k-å, RNG k-å &Spalart- Allmaras has been reported and compare with the experimental data of The National Renewable Energy Laboratory (NREL), for two wind speeds. It seems that the one-equation Spalart-Allmaras model is the suitable for turbulence closure, in low wind speed, and RNG k-å model is more reliable for higher wind speed.
Keywords: Wind turbine, HAWT, turbulence model, CFD, NREL, blade torque
EXTENSION of the file: .pdf
Special (Invited) Session: Numerical Methods in Mechanics
Organizer of the Session: Professor Olga Martin and Professor Nikos Mastorakis
How Did you learn about congress: computational fluid dynamics, CFD
IP ADDRESS: 217.219.236.172