Wind power assessment in Uruguay

Cataldo, José - Nunes, Ventura

Resumen:

The wind power as a large alternative energy source appear in Uruguay. A nested method to obtain the mean wind velocity time series at complex terrain sites and describe the turbulence was developed. Sites with mean velocity over 9m/s and capcity factor over 40% were found. The aerodynamic interferences loss between wind generators using a numerical model were evaluated and a numerical model was developed to design an optimal cluster wind farm. As bulk result, an installed capacity of 300MW with a cost production less than 0.065U$S/kW.h can be estimated over the all studied Region.


Detalles Bibliográficos
1996
Wind power assessment
Wind numerical modelling
Wind physical modelling
Nested methods
Cluster optimization
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/20712
Acceso abierto
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
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author Cataldo, José
author2 Nunes, Ventura
author2_role author
author_facet Cataldo, José
Nunes, Ventura
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Cataldo, José
Nunes, Ventura
dc.date.accessioned.none.fl_str_mv 2019-05-29T15:27:55Z
dc.date.available.none.fl_str_mv 2019-05-29T15:27:55Z
dc.date.issued.es.fl_str_mv 1996
dc.date.submitted.es.fl_str_mv 20190528
dc.description.abstract.none.fl_txt_mv The wind power as a large alternative energy source appear in Uruguay. A nested method to obtain the mean wind velocity time series at complex terrain sites and describe the turbulence was developed. Sites with mean velocity over 9m/s and capcity factor over 40% were found. The aerodynamic interferences loss between wind generators using a numerical model were evaluated and a numerical model was developed to design an optimal cluster wind farm. As bulk result, an installed capacity of 300MW with a cost production less than 0.065U$S/kW.h can be estimated over the all studied Region.
dc.description.es.fl_txt_mv Postprint
Trabajo presentado al World Renewable Energy Congress. Denver, USA , 1996.
dc.identifier.citation.es.fl_str_mv Cataldo, José, Nunes, Ventura. Wind power assessment in Uruguay [en línea] Renewable Energy, 1996, v. 9, nos. 1-4
dc.identifier.doi.es.fl_str_mv DOI: https://doi.org/10.1016/0960-1481(96)88402-3
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/20712
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv Elsevier
dc.relation.ispartof.es.fl_str_mv Renewable Energy, 1996, v. 9, nos. 1-4
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
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 Wind power assessment
Wind numerical modelling
Wind physical modelling
Nested methods
Cluster optimization
dc.title.none.fl_str_mv Wind power assessment in Uruguay
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Postprint
eu_rights_str_mv openAccess
format article
id COLIBRI_c1fb69a4b0c6f8f8fb3b2f24017b8eed
identifier_str_mv Cataldo, José, Nunes, Ventura. Wind power assessment in Uruguay [en línea] Renewable Energy, 1996, v. 9, nos. 1-4
DOI: https://doi.org/10.1016/0960-1481(96)88402-3
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
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publishDate 1996
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@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)
spelling 2019-05-29T15:27:55Z2019-05-29T15:27:55Z199620190528Cataldo, José, Nunes, Ventura. Wind power assessment in Uruguay [en línea] Renewable Energy, 1996, v. 9, nos. 1-4https://hdl.handle.net/20.500.12008/20712DOI: https://doi.org/10.1016/0960-1481(96)88402-3PostprintTrabajo presentado al World Renewable Energy Congress. Denver, USA , 1996.The wind power as a large alternative energy source appear in Uruguay. A nested method to obtain the mean wind velocity time series at complex terrain sites and describe the turbulence was developed. Sites with mean velocity over 9m/s and capcity factor over 40% were found. The aerodynamic interferences loss between wind generators using a numerical model were evaluated and a numerical model was developed to design an optimal cluster wind farm. As bulk result, an installed capacity of 300MW with a cost production less than 0.065U$S/kW.h can be estimated over the all studied Region.Made available in DSpace on 2019-05-29T15:27:55Z (GMT). No. of bitstreams: 5 CN96.pdf: 278016 bytes, checksum: 58dc2fb4da063da5df1c02f9bce6700d (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 1996enengElsevierRenewable Energy, 1996, v. 9, nos. 1-4Las 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. 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- Universidad de la Repúblicafalse
spellingShingle Wind power assessment in Uruguay
Cataldo, José
Wind power assessment
Wind numerical modelling
Wind physical modelling
Nested methods
Cluster optimization
status_str publishedVersion
title Wind power assessment in Uruguay
title_full Wind power assessment in Uruguay
title_fullStr Wind power assessment in Uruguay
title_full_unstemmed Wind power assessment in Uruguay
title_short Wind power assessment in Uruguay
title_sort Wind power assessment in Uruguay
topic Wind power assessment
Wind numerical modelling
Wind physical modelling
Nested methods
Cluster optimization
url https://hdl.handle.net/20.500.12008/20712