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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	5th International Conference on Renewable Energy
Subtítulo de la publicación alojada	Generation and Application, ICREGA 2018
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	11-15
Número de páginas	5
ISBN (versión digital)	9781538622513
DOI	https://doi.org/10.1109/ICREGA.2018.8337574
Estado	Publicada - 12 abr 2018
Evento	5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018 - Al Ain, Emiratos Árabes Unidos Duración: 26 feb 2018 → 28 feb 2018

Serie de la publicación

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

Conferencia

Conferencia	5th International Conference on Renewable Energy: Generation and Application, ICREGA 2018
País/Territorio	Emiratos Árabes Unidos
Ciudad	Al Ain
Período	26/02/18 → 28/02/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Acceder al documento

10.1109/ICREGA.2018.8337574

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Enlace a la publicación en Scopus

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Gustavo, R. N., Noel, U. S., & Giancarlo, R. (2018). High correlation models for small scale Magnus wind turbines. En 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.",

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Gustavo, RN, Noel, US & Giancarlo, R 2018, High correlation models for small scale Magnus wind turbines. En 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, Emiratos Árabes Unidos, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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

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Gustavo RN, Noel US, Giancarlo R. High correlation models for small scale Magnus wind turbines. En 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

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