High correlation models for small scale Magnus wind turbines

Richmond Navarro Gustavo; Urena Sandi Noel; Rodriguez Giancarlo

doi:10.1109/ICREGA.2018.8337574

High correlation models for small scale Magnus wind turbines

Richmond Navarro Gustavo
, Urena Sandi Noel
, Rodriguez Giancarlo

Escuela de Ingeniería Electromecánica

Costa Rica Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Exit power of a small scale Magnus wind turbine is obtained by a non-iterative numerical method, through the application of the actuating disc concept and the BEM (Blade Element Momentum) theory. The method is implemented on a commercial software, with the goal of obtaining explicit models for the power coefficient. This, allows to obtain the power coefficient of the wind turbine for any particular combination of the dimensionless numbers governing the turbine functioning. Results are processed by the software Eureqa, applying the symbolic regression technique, which allows to obtain explicit high correlation models for the small scale Magnus wind turbine power coefficient. Results for one, two, three and four cylindrical blade configurations, show this aerogenerator is able to reach power coefficients close to 0.10 with two rotating cylinders, where high aspect ratios of the cylinder, low tip-speed ratios and rotation ratios in the order of 3, are favorable.

Original language	English
Title of host publication	5th International Conference on Renewable Energy
Subtitle of host publication	Generation and Application, ICREGA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	11-15
Number of pages	5
ISBN (Electronic)	9781538622513
DOIs	https://doi.org/10.1109/ICREGA.2018.8337574
State	Published - 12 Apr 2018
Event	5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018 - Al Ain, United Arab Emirates Duration: 26 Feb 2018 → 28 Feb 2018

Publication series

Name	5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
Volume	2018-January

Conference

Conference	5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
Country/Territory	United Arab Emirates
City	Al Ain
Period	26/02/18 → 28/02/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Magnus effect
power coefficient
symbolic regression
Wind turbine

Access to Document

10.1109/ICREGA.2018.8337574

Cite this

Gustavo, R. N., Noel, U. S., & Giancarlo, R. (2018). High correlation models for small scale Magnus wind turbines. In 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018 (pp. 11-15). (5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICREGA.2018.8337574

Gustavo, Richmond Navarro ; Noel, Urena Sandi ; Giancarlo, Rodriguez. / High correlation models for small scale Magnus wind turbines. 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 11-15 (5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018).

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title = "High correlation models for small scale Magnus wind turbines",

abstract = "Exit power of a small scale Magnus wind turbine is obtained by a non-iterative numerical method, through the application of the actuating disc concept and the BEM (Blade Element Momentum) theory. The method is implemented on a commercial software, with the goal of obtaining explicit models for the power coefficient. This, allows to obtain the power coefficient of the wind turbine for any particular combination of the dimensionless numbers governing the turbine functioning. Results are processed by the software Eureqa, applying the symbolic regression technique, which allows to obtain explicit high correlation models for the small scale Magnus wind turbine power coefficient. Results for one, two, three and four cylindrical blade configurations, show this aerogenerator is able to reach power coefficients close to 0.10 with two rotating cylinders, where high aspect ratios of the cylinder, low tip-speed ratios and rotation ratios in the order of 3, are favorable.",

keywords = "Magnus effect, power coefficient, symbolic regression, Wind turbine",

author = "Gustavo, \{Richmond Navarro\} and Noel, \{Urena Sandi\} and Rodriguez Giancarlo",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018 ; Conference date: 26-02-2018 Through 28-02-2018",

year = "2018",

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doi = "10.1109/ICREGA.2018.8337574",

language = "Ingl{\'e}s",

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Gustavo, RN, Noel, US & Giancarlo, R 2018, High correlation models for small scale Magnus wind turbines. in 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018. 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 11-15, 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018, Al Ain, United Arab Emirates, 26/02/18. https://doi.org/10.1109/ICREGA.2018.8337574

High correlation models for small scale Magnus wind turbines. / Gustavo, Richmond Navarro; Noel, Urena Sandi; Giancarlo, Rodriguez.
5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 11-15 (5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High correlation models for small scale Magnus wind turbines

AU - Gustavo, Richmond Navarro

AU - Noel, Urena Sandi

AU - Giancarlo, Rodriguez

PY - 2018/4/12

Y1 - 2018/4/12

N2 - Exit power of a small scale Magnus wind turbine is obtained by a non-iterative numerical method, through the application of the actuating disc concept and the BEM (Blade Element Momentum) theory. The method is implemented on a commercial software, with the goal of obtaining explicit models for the power coefficient. This, allows to obtain the power coefficient of the wind turbine for any particular combination of the dimensionless numbers governing the turbine functioning. Results are processed by the software Eureqa, applying the symbolic regression technique, which allows to obtain explicit high correlation models for the small scale Magnus wind turbine power coefficient. Results for one, two, three and four cylindrical blade configurations, show this aerogenerator is able to reach power coefficients close to 0.10 with two rotating cylinders, where high aspect ratios of the cylinder, low tip-speed ratios and rotation ratios in the order of 3, are favorable.

AB - Exit power of a small scale Magnus wind turbine is obtained by a non-iterative numerical method, through the application of the actuating disc concept and the BEM (Blade Element Momentum) theory. The method is implemented on a commercial software, with the goal of obtaining explicit models for the power coefficient. This, allows to obtain the power coefficient of the wind turbine for any particular combination of the dimensionless numbers governing the turbine functioning. Results are processed by the software Eureqa, applying the symbolic regression technique, which allows to obtain explicit high correlation models for the small scale Magnus wind turbine power coefficient. Results for one, two, three and four cylindrical blade configurations, show this aerogenerator is able to reach power coefficients close to 0.10 with two rotating cylinders, where high aspect ratios of the cylinder, low tip-speed ratios and rotation ratios in the order of 3, are favorable.

KW - Magnus effect

KW - power coefficient

KW - symbolic regression

KW - Wind turbine

UR - https://www.scopus.com/pages/publications/85050489100

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DO - 10.1109/ICREGA.2018.8337574

M3 - Contribución a la conferencia

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T3 - 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018

SP - 11

EP - 15

BT - 5th International Conference on Renewable Energy

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018

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ER -

Gustavo RN, Noel US, Giancarlo R. High correlation models for small scale Magnus wind turbines. In 5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 11-15. (5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018). doi: 10.1109/ICREGA.2018.8337574

High correlation models for small scale Magnus wind turbines

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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