Representation and estimation of the power coefficient in wind energy conversion systems
This paper aims at summarizing various methods used for representing and estimating the power coefficient in wind turbines, such as exponential, sinusoidal and polynomial models, as well as mathematical tools known as state observers. We present an exhaustive bibliographic review of the models used...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/14233
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816
https://repositorio.uptc.edu.co/handle/001/14233
- Palabra clave:
- energy conversion
energy efficiency
power coefficient
state estimation
wind energy
coeficiente de potencia
conversión de energía
eficiencia energética
energía eólica
estimación de estado
- Rights
- License
- http://purl.org/coar/access_right/c_abf95
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|
dc.title.en-US.fl_str_mv |
Representation and estimation of the power coefficient in wind energy conversion systems |
dc.title.es-ES.fl_str_mv |
Representación y estimación del coeficiente de potencia en sistemas de conversión de energía eólica |
title |
Representation and estimation of the power coefficient in wind energy conversion systems |
spellingShingle |
Representation and estimation of the power coefficient in wind energy conversion systems energy conversion energy efficiency power coefficient state estimation wind energy coeficiente de potencia conversión de energía eficiencia energética energía eólica estimación de estado |
title_short |
Representation and estimation of the power coefficient in wind energy conversion systems |
title_full |
Representation and estimation of the power coefficient in wind energy conversion systems |
title_fullStr |
Representation and estimation of the power coefficient in wind energy conversion systems |
title_full_unstemmed |
Representation and estimation of the power coefficient in wind energy conversion systems |
title_sort |
Representation and estimation of the power coefficient in wind energy conversion systems |
dc.subject.en-US.fl_str_mv |
energy conversion energy efficiency power coefficient state estimation wind energy |
topic |
energy conversion energy efficiency power coefficient state estimation wind energy coeficiente de potencia conversión de energía eficiencia energética energía eólica estimación de estado |
dc.subject.es-ES.fl_str_mv |
coeficiente de potencia conversión de energía eficiencia energética energía eólica estimación de estado |
description |
This paper aims at summarizing various methods used for representing and estimating the power coefficient in wind turbines, such as exponential, sinusoidal and polynomial models, as well as mathematical tools known as state observers. We present an exhaustive bibliographic review of the models used to calculate the power coefficient, given that this type of studies are scarce nowadays. In addition, we propose models that can be satisfactorily used for various analyzes of wind energy conversion systems, such as the representation by a polynomial function of fourth degree and the models based on the stochastic probability function. The relevance of this work is supported by the advantages and disadvantages of the various models and estimators of the power coefficient, which are presented at the end of the article in a comparative table with the purpose of offering to the reader a general summary. Ultimately, this review aims at helping researchers, students, university professors and those who wish to venture into this field, even though they do not have much experience, to establish a quick synthesized understanding of the different models and representations of the power coefficient. |
publishDate |
2019 |
dc.date.accessioned.none.fl_str_mv |
2024-07-05T19:11:49Z |
dc.date.available.none.fl_str_mv |
2024-07-05T19:11:49Z |
dc.date.none.fl_str_mv |
2019-01-10 |
dc.type.en-US.fl_str_mv |
research |
dc.type.es-ES.fl_str_mv |
investigación |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a178 |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816 10.19053/01211129.v28.n50.2019.8816 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.uptc.edu.co/handle/001/14233 |
url |
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816 https://repositorio.uptc.edu.co/handle/001/14233 |
identifier_str_mv |
10.19053/01211129.v28.n50.2019.8816 |
dc.language.none.fl_str_mv |
eng |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7312 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7505 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7534 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf95 |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_abf95 http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf application/xml |
dc.coverage.en-US.fl_str_mv |
N.A. |
dc.coverage.es-ES.fl_str_mv |
N.A. |
dc.publisher.en-US.fl_str_mv |
Universidad Pedagógica y Tecnológica de Colombia |
dc.source.en-US.fl_str_mv |
Revista Facultad de Ingeniería; Vol. 28 No. 50 (2019); 77-90 |
dc.source.es-ES.fl_str_mv |
Revista Facultad de Ingeniería; Vol. 28 Núm. 50 (2019); 77-90 |
dc.source.none.fl_str_mv |
2357-5328 0121-1129 |
institution |
Universidad Pedagógica y Tecnológica de Colombia |
repository.name.fl_str_mv |
Repositorio Institucional UPTC |
repository.mail.fl_str_mv |
repositorio.uptc@uptc.edu.co |
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1839633804006785024 |
spelling |
2019-01-102024-07-05T19:11:49Z2024-07-05T19:11:49Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/881610.19053/01211129.v28.n50.2019.8816https://repositorio.uptc.edu.co/handle/001/14233This paper aims at summarizing various methods used for representing and estimating the power coefficient in wind turbines, such as exponential, sinusoidal and polynomial models, as well as mathematical tools known as state observers. We present an exhaustive bibliographic review of the models used to calculate the power coefficient, given that this type of studies are scarce nowadays. In addition, we propose models that can be satisfactorily used for various analyzes of wind energy conversion systems, such as the representation by a polynomial function of fourth degree and the models based on the stochastic probability function. The relevance of this work is supported by the advantages and disadvantages of the various models and estimators of the power coefficient, which are presented at the end of the article in a comparative table with the purpose of offering to the reader a general summary. Ultimately, this review aims at helping researchers, students, university professors and those who wish to venture into this field, even though they do not have much experience, to establish a quick synthesized understanding of the different models and representations of the power coefficient.Este artículo presenta un resumen de diversos métodos utilizados para la representación y estimación del coeficiente de potencia en aerogeneradores, tales como modelos exponenciales, sinusoidales y polinomiales, así como también de herramientas matemáticas conocidas como observadores de estado. Dada la escasez de estudios que le presenten al lector un panorama general de los modelos utilizados para el cálculo del coeficiente de potencia, este resumen, producto de una revisión bibliográfica exhaustiva, constituye un aporte importante. Otra contribución que se logró fue presentar propuestas propias de modelos que pueden ser utilizados satisfactoriamente para diversos análisis de sistemas de conversión de energía eólica, tales como la representación por una función polinomial de cuarto grado y los modelos basados en la función de probabilidad estocástica. La relevancia de este trabajo se apoya en las ventajas y desventajas de los diversos modelos y estimadores del coeficiente de potencia, las cuales se presentan al final del artículo en una tabla comparativa, con el propósito de ofrecer al lector un resumen general que le permita una comprensión rápida y sintetizada de los diversos modelos y representaciones del coeficiente de potencia, lo que ayuda a investigadores, estudiantes, profesores universitarios y a quienes deseen incursionar en este campo, aunque no tengan mucha experiencia.application/pdfapplication/xmlengengUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7312https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7505https://revistas.uptc.edu.co/index.php/ingenieria/article/view/8816/7534Revista Facultad de Ingeniería; Vol. 28 No. 50 (2019); 77-90Revista Facultad de Ingeniería; Vol. 28 Núm. 50 (2019); 77-902357-53280121-1129energy conversionenergy efficiencypower coefficientstate estimationwind energycoeficiente de potenciaconversión de energíaeficiencia energéticaenergía eólicaestimación de estadoRepresentation and estimation of the power coefficient in wind energy conversion systemsRepresentación y estimación del coeficiente de potencia en sistemas de conversión de energía eólicaresearchinvestigacióninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a178http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/access_right/c_abf95http://purl.org/coar/access_right/c_abf2N.A.N.A.González-Hernández, José GenaroSalas-Cabrera, Rubén001/14233oai:repositorio.uptc.edu.co:001/142332025-07-18 11:53:14.509metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co |