A proposal for the prediction of sound pressure levels due to wind turbine operation.
Resumen:
The prediction of environmental sound pressure levels related to the operation of wind turbines is still a concerning issue. During the last decade some different proposals have been made to enhance the results from the old prediction methods. We present the prediction model developed at the Environmental Engineering Department of the Faculty of Engineering (Universidad de la República, Uruguay), which has shown a good agreement with measured data at about ten different wind farms along the country. First of all, the atmospheric stability class according to Pasquill-Gifford and the wind velocity are taken into account for determining the acoustic power of the device. Then, a first module for describing noise generation along the blades due to turbulent phenomena (incoming wind turbulence and blades boundary layer release) is applied to compute sound pressure levels at 100 m far from the tower. Some coefficients have been experimentally obtained through wind tunnel tests. At last, a propagation module completes the prediction model to compute sound pressure levels at different distances from the tower. The propagation module considers not only geometric divergence but atmospheric absorption and turbulent dissipation (both phenomena depend on the frequency). The final sound pressure levels at a given reception point are obtained by superposing the sound pressure levels due to different wind turbines operation and the environmental noise due to the wind. Every computing is done in octave bands and the final results are expressed as LAeq values. The development of the prediction model has been done with measured data from 4 wind farms built on flat terrain. During calibration process some adjustment was needed for better prediction of noise propagation from wind farms built on complex terrain. This easy-to-use method has been programmed in Matlab®. The obtained results show almost 80 % cases within in ±3 dB range.
| 2019 | |
| El equipo de investigación ha sido apoyado por fondos de cooperación con el Programa Nacional de Energía Eólica, Proyecto ANII_FSE_10942 y Grupos de Investigación I+D del CSIC. | |
|
Noise prediction models Wind turbines Environmental noise |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
|
https://www.windturbinenoise.eu/content/conferences/8-wind-turbine-noise-2019/
https://hdl.handle.net/20.500.12008/38488 |
|
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1875693041729142784 |
|---|---|
| author | González, Alice Elizabeth |
| author2 | Gianoli Kovar, Pablo Olazábal Barrios, Luciana |
| author2_role | author author |
| author_facet | González, Alice Elizabeth Gianoli Kovar, Pablo Olazábal Barrios, Luciana |
| author_role | author |
| bitstream.checksum.fl_str_mv | 6429389a7df7277b72b7924fdc7d47a9 a006180e3f5b2ad0b88185d14284c0e0 e8c30e04e865334cac2bfcba70aad8cb 1996b8461bc290aef6a27d78c67b6b52 60fa98b4228d43de46244c54ba3640a7 |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 MD5 |
| bitstream.url.fl_str_mv | http://localhost:8080/xmlui/bitstream/20.500.12008/38488/5/license.txt http://localhost:8080/xmlui/bitstream/20.500.12008/38488/2/license_url http://localhost:8080/xmlui/bitstream/20.500.12008/38488/3/license_text http://localhost:8080/xmlui/bitstream/20.500.12008/38488/4/license_rdf http://localhost:8080/xmlui/bitstream/20.500.12008/38488/1/GGO19.pdf |
| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | González Alice Elizabeth, Universidad de la República (Uruguay). Facultad de Ingeniería. Gianoli Kovar Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. Olazábal Barrios Luciana, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.coverage.spatial.es.fl_str_mv | Uruguay |
| dc.creator.none.fl_str_mv | González, Alice Elizabeth Gianoli Kovar, Pablo Olazábal Barrios, Luciana |
| dc.date.accessioned.none.fl_str_mv | 2023-07-27T15:59:13Z |
| dc.date.available.none.fl_str_mv | 2023-07-27T15:59:13Z |
| dc.date.issued.none.fl_str_mv | 2019 |
| dc.description.abstract.none.fl_txt_mv | The prediction of environmental sound pressure levels related to the operation of wind turbines is still a concerning issue. During the last decade some different proposals have been made to enhance the results from the old prediction methods. We present the prediction model developed at the Environmental Engineering Department of the Faculty of Engineering (Universidad de la República, Uruguay), which has shown a good agreement with measured data at about ten different wind farms along the country. First of all, the atmospheric stability class according to Pasquill-Gifford and the wind velocity are taken into account for determining the acoustic power of the device. Then, a first module for describing noise generation along the blades due to turbulent phenomena (incoming wind turbulence and blades boundary layer release) is applied to compute sound pressure levels at 100 m far from the tower. Some coefficients have been experimentally obtained through wind tunnel tests. At last, a propagation module completes the prediction model to compute sound pressure levels at different distances from the tower. The propagation module considers not only geometric divergence but atmospheric absorption and turbulent dissipation (both phenomena depend on the frequency). The final sound pressure levels at a given reception point are obtained by superposing the sound pressure levels due to different wind turbines operation and the environmental noise due to the wind. Every computing is done in octave bands and the final results are expressed as LAeq values. The development of the prediction model has been done with measured data from 4 wind farms built on flat terrain. During calibration process some adjustment was needed for better prediction of noise propagation from wind farms built on complex terrain. This easy-to-use method has been programmed in Matlab®. The obtained results show almost 80 % cases within in ±3 dB range. |
| dc.description.sponsorship.none.fl_txt_mv | El equipo de investigación ha sido apoyado por fondos de cooperación con el Programa Nacional de Energía Eólica, Proyecto ANII_FSE_10942 y Grupos de Investigación I+D del CSIC. |
| dc.format.extent.es.fl_str_mv | 7 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | González, A., Gianoli Kovar, P. y Olazábal Barrios, L. A proposal for the prediction of sound pressure levels due to wind turbine operation [en línea]. EN: 8th International Conference on Wind Turbine Noise (WTN 2019), Lisbon, Portugal, 12-14 jun 2019, p. 1-7 |
| dc.identifier.uri.none.fl_str_mv | https://www.windturbinenoise.eu/content/conferences/8-wind-turbine-noise-2019/ https://hdl.handle.net/20.500.12008/38488 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Institute of Noise Control Engineering / Europe (INCE / Europe). |
| dc.relation.none.fl_str_mv | 8th International Conference on Wind Turbine Noise (WTN 2019), Lisbon, Portugal, 12-14 jun 2019, p. 1-7. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Noise prediction models Wind turbines Environmental noise |
| dc.title.none.fl_str_mv | A proposal for the prediction of sound pressure levels due to wind turbine operation. |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | The prediction of environmental sound pressure levels related to the operation of wind turbines is still a concerning issue. During the last decade some different proposals have been made to enhance the results from the old prediction methods. We present the prediction model developed at the Environmental Engineering Department of the Faculty of Engineering (Universidad de la República, Uruguay), which has shown a good agreement with measured data at about ten different wind farms along the country. First of all, the atmospheric stability class according to Pasquill-Gifford and the wind velocity are taken into account for determining the acoustic power of the device. Then, a first module for describing noise generation along the blades due to turbulent phenomena (incoming wind turbulence and blades boundary layer release) is applied to compute sound pressure levels at 100 m far from the tower. Some coefficients have been experimentally obtained through wind tunnel tests. At last, a propagation module completes the prediction model to compute sound pressure levels at different distances from the tower. The propagation module considers not only geometric divergence but atmospheric absorption and turbulent dissipation (both phenomena depend on the frequency). The final sound pressure levels at a given reception point are obtained by superposing the sound pressure levels due to different wind turbines operation and the environmental noise due to the wind. Every computing is done in octave bands and the final results are expressed as LAeq values. The development of the prediction model has been done with measured data from 4 wind farms built on flat terrain. During calibration process some adjustment was needed for better prediction of noise propagation from wind farms built on complex terrain. This easy-to-use method has been programmed in Matlab®. The obtained results show almost 80 % cases within in ±3 dB range. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_d71803f929716e2e11cc698976f64dcf |
| identifier_str_mv | González, A., Gianoli Kovar, P. y Olazábal Barrios, L. A proposal for the prediction of sound pressure levels due to wind turbine operation [en línea]. EN: 8th International Conference on Wind Turbine Noise (WTN 2019), Lisbon, Portugal, 12-14 jun 2019, p. 1-7 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38488 |
| publishDate | 2019 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | karina.camps@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | González Alice Elizabeth, Universidad de la República (Uruguay). Facultad de Ingeniería.Gianoli Kovar Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.Olazábal Barrios Luciana, Universidad de la República (Uruguay). Facultad de Ingeniería.Uruguay2023-07-27T15:59:13Z2023-07-27T15:59:13Z2019González, A., Gianoli Kovar, P. y Olazábal Barrios, L. A proposal for the prediction of sound pressure levels due to wind turbine operation [en línea]. EN: 8th International Conference on Wind Turbine Noise (WTN 2019), Lisbon, Portugal, 12-14 jun 2019, p. 1-7https://www.windturbinenoise.eu/content/conferences/8-wind-turbine-noise-2019/https://hdl.handle.net/20.500.12008/38488The prediction of environmental sound pressure levels related to the operation of wind turbines is still a concerning issue. During the last decade some different proposals have been made to enhance the results from the old prediction methods. We present the prediction model developed at the Environmental Engineering Department of the Faculty of Engineering (Universidad de la República, Uruguay), which has shown a good agreement with measured data at about ten different wind farms along the country. First of all, the atmospheric stability class according to Pasquill-Gifford and the wind velocity are taken into account for determining the acoustic power of the device. Then, a first module for describing noise generation along the blades due to turbulent phenomena (incoming wind turbulence and blades boundary layer release) is applied to compute sound pressure levels at 100 m far from the tower. Some coefficients have been experimentally obtained through wind tunnel tests. At last, a propagation module completes the prediction model to compute sound pressure levels at different distances from the tower. The propagation module considers not only geometric divergence but atmospheric absorption and turbulent dissipation (both phenomena depend on the frequency). The final sound pressure levels at a given reception point are obtained by superposing the sound pressure levels due to different wind turbines operation and the environmental noise due to the wind. Every computing is done in octave bands and the final results are expressed as LAeq values. The development of the prediction model has been done with measured data from 4 wind farms built on flat terrain. During calibration process some adjustment was needed for better prediction of noise propagation from wind farms built on complex terrain. This easy-to-use method has been programmed in Matlab®. The obtained results show almost 80 % cases within in ±3 dB range.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2023-07-27T00:02:19Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) GGO19.pdf: 390432 bytes, checksum: 60fa98b4228d43de46244c54ba3640a7 (MD5)Approved for entry into archive by Berón Cecilia (cberon@fing.edu.uy) on 2023-07-27T15:36:09Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) GGO19.pdf: 390432 bytes, checksum: 60fa98b4228d43de46244c54ba3640a7 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-07-27T15:59:13Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) GGO19.pdf: 390432 bytes, checksum: 60fa98b4228d43de46244c54ba3640a7 (MD5) Previous issue date: 2019El equipo de investigación ha sido apoyado por fondos de cooperación con el Programa Nacional de Energía Eólica, Proyecto ANII_FSE_10942 y Grupos de Investigación I+D del CSIC.7 p.application/pdfenengInstitute of Noise Control Engineering / Europe (INCE / Europe).8th International Conference on Wind Turbine Noise (WTN 2019), Lisbon, Portugal, 12-14 jun 2019, p. 1-7.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Noise prediction modelsWind turbinesEnvironmental noiseA proposal for the prediction of sound pressure levels due to wind turbine operation.Ponenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaGonzález, Alice ElizabethGianoli Kovar, PabloOlazábal Barrios, LucianaLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/38488/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/38488/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; charset=utf-838782http://localhost:8080/xmlui/bitstream/20.500.12008/38488/3/license_texte8c30e04e865334cac2bfcba70aad8cbMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-823149http://localhost:8080/xmlui/bitstream/20.500.12008/38488/4/license_rdf1996b8461bc290aef6a27d78c67b6b52MD54ORIGINALGGO19.pdfGGO19.pdfapplication/pdf390432http://localhost:8080/xmlui/bitstream/20.500.12008/38488/1/GGO19.pdf60fa98b4228d43de46244c54ba3640a7MD5120.500.12008/384882023-07-27 12:59:13.942oai:colibri.udelar.edu.uy:20.500.12008/38488VGVybWlub3MgeSBjb25kaWNpb25lcyByZWxhdGl2YXMgYWwgZGVwb3NpdG8gZGUgb2JyYXMKCgpMYXMgb2JyYXMgZGVwb3NpdGFkYXMgZW4gZWwgUmVwb3NpdG9yaW8gc2UgcmlnZW4gcG9yIGxhIE9yZGVuYW56YSBkZSBsb3MgRGVyZWNob3MgZGUgbGEgUHJvcGllZGFkIEludGVsZWN0dWFsICBkZSBsYSBVbml2ZXJzaWRhZCBEZSBMYSBSZXDDumJsaWNhLiAoUmVzLiBOwrogOTEgZGUgQy5ELkMuIGRlIDgvSUlJLzE5OTQg4oCTIEQuTy4gNy9JVi8xOTk0KSB5ICBwb3IgbGEgT3JkZW5hbnphIGRlbCBSZXBvc2l0b3JpbyBBYmllcnRvIGRlIGxhIFVuaXZlcnNpZGFkIGRlIGxhIFJlcMO6YmxpY2EgKFJlcy4gTsK6IDE2IGRlIEMuRC5DLiBkZSAwNy8xMC8yMDE0KS4gCgpBY2VwdGFuZG8gZWwgYXV0b3IgZXN0b3MgdMOpcm1pbm9zIHkgY29uZGljaW9uZXMgZGUgZGVww7NzaXRvIGVuIENPTElCUkksIGxhIFVuaXZlcnNpZGFkIGRlIFJlcMO6YmxpY2EgcHJvY2VkZXLDoSBhOiAgCgphKSBhcmNoaXZhciBtw6FzIGRlIHVuYSBjb3BpYSBkZSBsYSBvYnJhIGVuIGxvcyBzZXJ2aWRvcmVzIGRlIGxhIFVuaXZlcnNpZGFkIGEgbG9zIGVmZWN0b3MgZGUgZ2FyYW50aXphciBhY2Nlc28sIHNlZ3VyaWRhZCB5IHByZXNlcnZhY2nDs24KYikgY29udmVydGlyIGxhIG9icmEgYSBvdHJvcyBmb3JtYXRvcyBzaSBmdWVyYSBuZWNlc2FyaW8gIHBhcmEgZmFjaWxpdGFyIHN1IHByZXNlcnZhY2nDs24geSBhY2Nlc2liaWxpZGFkIHNpbiBhbHRlcmFyIHN1IGNvbnRlbmlkby4KYykgcmVhbGl6YXIgbGEgY29tdW5pY2FjacOzbiBww7pibGljYSB5IGRpc3BvbmVyIGVsIGFjY2VzbyBsaWJyZSB5IGdyYXR1aXRvIGEgdHJhdsOpcyBkZSBJbnRlcm5ldCBtZWRpYW50ZSBsYSBwdWJsaWNhY2nDs24gZGUgbGEgb2JyYSBiYWpvIGxhIGxpY2VuY2lhIENyZWF0aXZlIENvbW1vbnMgc2VsZWNjaW9uYWRhIHBvciBlbCBwcm9waW8gYXV0b3IuCgoKRW4gY2FzbyBxdWUgZWwgYXV0b3IgaGF5YSBkaWZ1bmRpZG8geSBkYWRvIGEgcHVibGljaWRhZCBhIGxhIG9icmEgZW4gZm9ybWEgcHJldmlhLCAgcG9kcsOhIHNvbGljaXRhciB1biBwZXLDrW9kbyBkZSBlbWJhcmdvIHNvYnJlIGxhIGRpc3BvbmliaWxpZGFkIHDDumJsaWNhIGRlIGxhIG1pc21hLCBlbCBjdWFsIGNvbWVuemFyw6EgYSBwYXJ0aXIgZGUgbGEgYWNlcHRhY2nDs24gZGUgZXN0ZSBkb2N1bWVudG8geSBoYXN0YSBsYSBmZWNoYSBxdWUgaW5kaXF1ZSAuCgpFbCBhdXRvciBhc2VndXJhIHF1ZSBsYSBvYnJhIG5vIGluZnJpZ2UgbmluZ8O6biBkZXJlY2hvIHNvYnJlIHRlcmNlcm9zLCB5YSBzZWEgZGUgcHJvcGllZGFkIGludGVsZWN0dWFsIG8gY3VhbHF1aWVyIG90cm8uCgpFbCBhdXRvciBnYXJhbnRpemEgcXVlIHNpIGVsIGRvY3VtZW50byBjb250aWVuZSBtYXRlcmlhbGVzIGRlIGxvcyBjdWFsZXMgbm8gdGllbmUgbG9zIGRlcmVjaG9zIGRlIGF1dG9yLCAgaGEgb2J0ZW5pZG8gZWwgcGVybWlzbyBkZWwgcHJvcGlldGFyaW8gZGUgbG9zIGRlcmVjaG9zIGRlIGF1dG9yLCB5IHF1ZSBlc2UgbWF0ZXJpYWwgY3V5b3MgZGVyZWNob3Mgc29uIGRlIHRlcmNlcm9zIGVzdMOhIGNsYXJhbWVudGUgaWRlbnRpZmljYWRvIHkgcmVjb25vY2lkbyBlbiBlbCB0ZXh0byBvIGNvbnRlbmlkbyBkZWwgZG9jdW1lbnRvIGRlcG9zaXRhZG8gZW4gZWwgUmVwb3NpdG9yaW8uCgpFbiBvYnJhcyBkZSBhdXRvcsOtYSBtw7psdGlwbGUgL3NlIHByZXN1bWUvIHF1ZSBlbCBhdXRvciBkZXBvc2l0YW50ZSBkZWNsYXJhIHF1ZSBoYSByZWNhYmFkbyBlbCBjb25zZW50aW1pZW50byBkZSB0b2RvcyBsb3MgYXV0b3JlcyBwYXJhIHB1YmxpY2FybGEgZW4gZWwgUmVwb3NpdG9yaW8sIHNpZW5kbyDDqXN0ZSBlbCDDum5pY28gcmVzcG9uc2FibGUgZnJlbnRlIGEgY3VhbHF1aWVyIHRpcG8gZGUgcmVjbGFtYWNpw7NuIGRlIGxvcyBvdHJvcyBjb2F1dG9yZXMuCgpFbCBhdXRvciBzZXLDoSByZXNwb25zYWJsZSBkZWwgY29udGVuaWRvIGRlIGxvcyBkb2N1bWVudG9zIHF1ZSBkZXBvc2l0YS4gTGEgVURFTEFSIG5vIHNlcsOhIHJlc3BvbnNhYmxlIHBvciBsYXMgZXZlbnR1YWxlcyB2aW9sYWNpb25lcyBhbCBkZXJlY2hvIGRlIHByb3BpZWRhZCBpbnRlbGVjdHVhbCBlbiBxdWUgcHVlZGEgaW5jdXJyaXIgZWwgYXV0b3IuCgpBbnRlIGN1YWxxdWllciBkZW51bmNpYSBkZSB2aW9sYWNpw7NuIGRlIGRlcmVjaG9zIGRlIHByb3BpZWRhZCBpbnRlbGVjdHVhbCwgbGEgVURFTEFSICBhZG9wdGFyw6EgdG9kYXMgbGFzIG1lZGlkYXMgbmVjZXNhcmlhcyBwYXJhIGV2aXRhciBsYSBjb250aW51YWNpw7NuIGRlIGRpY2hhIGluZnJhY2Npw7NuLCBsYXMgcXVlIHBvZHLDoW4gaW5jbHVpciBlbCByZXRpcm8gZGVsIGFjY2VzbyBhIGxvcyBjb250ZW5pZG9zIHkvbyBtZXRhZGF0b3MgZGVsIGRvY3VtZW50byByZXNwZWN0aXZvLgoKTGEgb2JyYSBzZSBwb25kcsOhIGEgZGlzcG9zaWNpw7NuIGRlbCBww7pibGljbyBhIHRyYXbDqXMgZGUgbGFzIGxpY2VuY2lhcyBDcmVhdGl2ZSBDb21tb25zLCBlbCBhdXRvciBwb2Ryw6Egc2VsZWNjaW9uYXIgdW5hIGRlIGxhcyA2IGxpY2VuY2lhcyBkaXNwb25pYmxlczoKCgpBdHJpYnVjacOzbiAoQ0MgLSBCeSk6IFBlcm1pdGUgdXNhciBsYSBvYnJhIHkgZ2VuZXJhciBvYnJhcyBkZXJpdmFkYXMsIGluY2x1c28gY29uIGZpbmVzIGNvbWVyY2lhbGVzLCBzaWVtcHJlIHF1ZSBzZSByZWNvbm96Y2EgYWwgYXV0b3IuCgpBdHJpYnVjacOzbiDigJMgQ29tcGFydGlyIElndWFsIChDQyAtIEJ5LVNBKTogUGVybWl0ZSB1c2FyIGxhIG9icmEgeSBnZW5lcmFyIG9icmFzIGRlcml2YWRhcywgaW5jbHVzbyBjb24gZmluZXMgY29tZXJjaWFsZXMsIHBlcm8gbGEgZGlzdHJpYnVjacOzbiBkZSBsYXMgb2JyYXMgZGVyaXZhZGFzIGRlYmUgaGFjZXJzZSBtZWRpYW50ZSB1bmEgbGljZW5jaWEgaWTDqW50aWNhIGEgbGEgZGUgbGEgb2JyYSBvcmlnaW5hbCwgcmVjb25vY2llbmRvIGEgbG9zIGF1dG9yZXMuCgpBdHJpYnVjacOzbiDigJMgTm8gQ29tZXJjaWFsIChDQyAtIEJ5LU5DKTogUGVybWl0ZSB1c2FyIGxhIG9icmEgeSBnZW5lcmFyIG9icmFzIGRlcml2YWRhcywgc2llbXByZSB5IGN1YW5kbyBlc29zIHVzb3Mgbm8gdGVuZ2FuIGZpbmVzIGNvbWVyY2lhbGVzLCByZWNvbm9jaWVuZG8gYWwgYXV0b3IuCgpBdHJpYnVjacOzbiDigJMgU2luIERlcml2YWRhcyAoQ0MgLSBCeS1ORCk6IFBlcm1pdGUgZWwgdXNvIGRlIGxhIG9icmEsIGluY2x1c28gY29uIGZpbmVzIGNvbWVyY2lhbGVzLCBwZXJvIG5vIHNlIHBlcm1pdGUgZ2VuZXJhciBvYnJhcyBkZXJpdmFkYXMsIGRlYmllbmRvIHJlY29ub2NlciBhbCBhdXRvci4KCkF0cmlidWNpw7NuIOKAkyBObyBDb21lcmNpYWwg4oCTIENvbXBhcnRpciBJZ3VhbCAoQ0Mg4oCTIEJ5LU5DLVNBKTogUGVybWl0ZSB1c2FyIGxhIG9icmEgeSBnZW5lcmFyIG9icmFzIGRlcml2YWRhcywgc2llbXByZSB5IGN1YW5kbyBlc29zIHVzb3Mgbm8gdGVuZ2FuIGZpbmVzIGNvbWVyY2lhbGVzIHkgbGEgZGlzdHJpYnVjacOzbiBkZSBsYXMgb2JyYXMgZGVyaXZhZGFzIHNlIGhhZ2EgbWVkaWFudGUgbGljZW5jaWEgaWTDqW50aWNhIGEgbGEgZGUgbGEgb2JyYSBvcmlnaW5hbCwgcmVjb25vY2llbmRvIGEgbG9zIGF1dG9yZXMuCgpBdHJpYnVjacOzbiDigJMgTm8gQ29tZXJjaWFsIOKAkyBTaW4gRGVyaXZhZGFzIChDQyAtIEJ5LU5DLU5EKTogUGVybWl0ZSB1c2FyIGxhIG9icmEsIHBlcm8gbm8gc2UgcGVybWl0ZSBnZW5lcmFyIG9icmFzIGRlcml2YWRhcyB5IG5vIHNlIHBlcm1pdGUgdXNvIGNvbiBmaW5lcyBjb21lcmNpYWxlcywgZGViaWVuZG8gcmVjb25vY2VyIGFsIGF1dG9yLgoKTG9zIHVzb3MgcHJldmlzdG9zIGVuIGxhcyBsaWNlbmNpYXMgaW5jbHV5ZW4gbGEgZW5hamVuYWNpw7NuLCByZXByb2R1Y2Npw7NuLCBjb211bmljYWNpw7NuLCBwdWJsaWNhY2nDs24sIGRpc3RyaWJ1Y2nDs24geSBwdWVzdGEgYSBkaXNwb3NpY2nDs24gZGVsIHDDumJsaWNvLiBMYSBjcmVhY2nDs24gZGUgb2JyYXMgZGVyaXZhZGFzIGluY2x1eWUgbGEgYWRhcHRhY2nDs24sIHRyYWR1Y2Npw7NuIHkgZWwgcmVtaXguCgpDdWFuZG8gc2Ugc2VsZWNjaW9uZSB1bmEgbGljZW5jaWEgcXVlIGhhYmlsaXRlIHVzb3MgY29tZXJjaWFsZXMsIGVsIGRlcMOzc2l0byBkZWJlcsOhIHNlciBhY29tcGHDsWFkbyBkZWwgYXZhbCBkZWwgamVyYXJjYSBtw6F4aW1vIGRlbCBTZXJ2aWNpbyBjb3JyZXNwb25kaWVudGUuCg==Institucionalhttps://www.colibri.udelar.edu.uyUniversidadhttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestkarina.camps@seciu.edu.uyUruguayopendoar:47712023-07-27T15:59:13COLIBRI - Universidad de la Repúblicafalse |
| spellingShingle | A proposal for the prediction of sound pressure levels due to wind turbine operation. González, Alice Elizabeth Noise prediction models Wind turbines Environmental noise |
| status_str | publishedVersion |
| title | A proposal for the prediction of sound pressure levels due to wind turbine operation. |
| title_full | A proposal for the prediction of sound pressure levels due to wind turbine operation. |
| title_fullStr | A proposal for the prediction of sound pressure levels due to wind turbine operation. |
| title_full_unstemmed | A proposal for the prediction of sound pressure levels due to wind turbine operation. |
| title_short | A proposal for the prediction of sound pressure levels due to wind turbine operation. |
| title_sort | A proposal for the prediction of sound pressure levels due to wind turbine operation. |
| topic | Noise prediction models Wind turbines Environmental noise |
| url | https://www.windturbinenoise.eu/content/conferences/8-wind-turbine-noise-2019/ https://hdl.handle.net/20.500.12008/38488 |