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dc.creatorEcheverri-Londoño C.A.
dc.creatorGonzález-Fernández A.E.
dc.date2018
dc.date.accessioned2021-02-05T15:00:06Z
dc.date.available2021-02-05T15:00:06Z
dc.identifier.issn1206230
dc.identifier.urihttp://hdl.handle.net/11407/6149
dc.descriptionThis article presents a prediction model that can be applied to estimate the propagation of noise generated by wind turbines through an easy calculation procedure. The proposed prediction model is semi-empirical and based on the analysis of phenomena related to the generation and propagation of sound levels and field measurements. An experimental program was designed that included the measurement of sound pressure levels with a sound level meter to different weather conditions and distances within a wind farm to compare them with the levels estimated by ISO 9613 Part 2. A statistical analysis of the data recorded in field was performed to observe the dependence on the meteorological variables recorded during the measurements. The model explains 92.5% of the variability of the residual sound pressure level and has an average absolute error of 2.9 dB. After eliminating 5.0% of the data considered atypical, the proposed model explains 94.7% of the variability of the residual sound pressure level, with an average absolute error of 2.5 dB. A statistically significant relationship exists between the variables with a confidence level of 95.0%. The results have provided a rather satisfactory model for predicting noise from wind turbines up to distances of 900 m, greatly improving what has been achieved so far by the method established in standard ISO 9613 Part 2. literature for that particular subject. © 2018 Universidad de Antioquia.Este artículo presenta un modelo de predicción aplicable a la propagación del ruido proveniente de los aerogeneradores a través de un procedimiento de cálculo de fácil implementación. El modelo de predicción propuesto es semi-empírico y se basa en el análisis de los fenómenos relacionados con la generación y propagación de los niveles sonoros y las mediciones de campo. Se diseñó un programa experimental que comprendió la medición de los niveles de presión sonora con un sonómetro en determinadas condiciones meteorológicas y diferentes distancias al interior de un parque eólico para compararlos con los niveles estimados por la norma ISO 9613 Parte 2. Se realizó un análisis estadístico de los datos registrados en campo para observar la dependencia con las variables meteorológicas registradas durante las mediciones. El modelo propuesto explica el 92,5 % de la variabilidad del nivel de presión sonora residual y tiene un error absoluto medio de 2.9 dB. Al eliminar el 5,0 % de los datos por considerarlos atípicos, el modelo propuesto explica el 94,7 % de la variabilidad del nivel de presión sonora residual con un error absoluto medio de 2,5 dB. Hay una relación estadísticamente significativa entre las variables en un nivel de confianza del 95,0%. Los resultados han arrojado un modelo bastante satisfactorio para predecir el ruido proveniente de los aerogeneradores hasta distancias de 900 m, mejorando en gran medida lo obtenido hasta el momento por el método establecido en la norma ISO 9613 Parte 2. © 2018 Universidad de Antioquia.
dc.language.isoeng
dc.publisherUniversidad de Antioquia
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054034696&doi=10.17533%2fudea.redin.n88a06&partnerID=40&md5=009eeb4e01df2f5bf95b3e6f24a6bbd1
dc.sourceRevista Facultad de Ingenieria
dc.titleModel for the prediction of noise from wind turbines
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Ambientalspa
dc.identifier.doi10.17533/udea.redin.n88a06
dc.relation.citationvolume2018
dc.relation.citationissue88
dc.relation.citationstartpage55
dc.relation.citationendpage65
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationEcheverri-Londoño, C.A., Departamento de Ingeniería Ambiental, Universidad de Medellín, Carrera 87 # 30-65, Medellín, C. P. 050026, Colombia
dc.affiliationGonzález-Fernández, A.E., Departamento de Ingeniería Ambiental, Universidad de la República, Julio Herrera y Reissig 565, Montevideo, C. P. 11.200, Uruguay
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article


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