Tecnológico de Costa Rica
  • How to publish in Repositorio TEC?
  • Policies
  • Educational Resources
  • Contact us
    • español
    • English
  • English 
    • español
    • English
  • Login
View Item 
  •   Repository Home
  • Escuelas y Departamentos
  • Escuela de Ingeniería Electromecánica
  • Artículos
  • View Item
  •   Repository Home
  • Escuelas y Departamentos
  • Escuela de Ingeniería Electromecánica
  • Artículos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesKeywordEducational Resource TypeIntended UserThis CollectionBy Issue DateAuthorsTitlesKeywordEducational Resource TypeIntended User

My Account

LoginRegister

Statistics

View Usage Statistics

A Magnus Wind Turbine Power Model Based on Direct Solutions Using the Blade Element Momentum Theory and Symbolic Regression

Thumbnail
View/Open
magnus-wind-turbine-power.pdf (439.3Kb)
Date
2017-01
Author
Richmond-Navarro, Gustavo
Calderón-Muñoz, William
LeBoeuf, Richard
Castillo, Pablo
Metadata
Show full item record
Abstract
A model of the power coefficient of a mid-scale Magnus wind turbine using numerical solutions of the Blade Element Momentum Theory and symbolic regression is presented. A direct method is proposed for solving the nonlinear system of equations which govern the phenomena under study.The influence of the tip speed ratio and the number, aspect ratio, and the angular speed of the cylinder son the turbine performanceisobtained. Results show that the máximum power coefficientisontheorderof 0.2, whichis obtained witht wolowa spectratio cylinders, adimension lesscy linder speed ratio of 2, and a turbine tip-speed ratio between 2 and 3. The predicted power coefficient at low tip-speed ratio suggests that a Magnus turbine may be adequate in the urban environment.
Source
Richmond-Navarro,Gustavo, Calderón-Muñoz, William, LeBoeuf, Richard and Castillo, Pablo "A Magnus Wind Turbine Power Model Based on Direct Solutions Using the Blade Element Momentum Theory and Symbolic Regression" IEEE Transaction on Sustainable Energy, volumen 8, no 1, January, 2017.
URI
https://hdl.handle.net/2238/6820
Share
       
Metrics
Collections
  • Artículos [6]

|Contact us

Repositorio Institucional del Tecnológico de Costa Rica

Sistema de Bibliotecas del TEC | SIBITEC

© DERECHOS RESERVADOS. Un sitio soportado por DSpace(v. 6.3)

RT-1

 

 


|Contact us

Repositorio Institucional del Tecnológico de Costa Rica

Sistema de Bibliotecas del TEC | SIBITEC

© DERECHOS RESERVADOS. Un sitio soportado por DSpace(v. 6.3)

RT-1