Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants
Resumen:
This work presents and validates an intra-day operational solar forecast for the southern cone of South America based on GOES16 satellite images. The forecast is evaluated over 12 photovoltaic (PV) generation sites in the northwest of Uruguay. The irradiance predictions are obtained from the combination of different satellite cloudiness forecasts and a standard satellite-to-irradiance conversion model, both specifically adapted to the region. The core of the system is a Cloud Motion Vector (CMV) satellite technique, considered in different spatial resolutions. The optimal linear combination of a single-pixel and space-averaged CMV forecast with the space-averaged persistence is proposed and analyzed. The performance assessment of the individual sub-forecasts and their combination is presented for each time horizon between 10 minutes and 4 hours, with a 10 minutes time step.
| 2021 | |
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Solar forecast CMV GOES16 satellite GHI |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/30459 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522899085492224 |
|---|---|
| author | Alonso Suárez, Rodrigo |
| author2 | Marchesoni, Franco Dovat, Liber Laguarda, Agustín |
| author2_role | author author author |
| author_facet | Alonso Suárez, Rodrigo Marchesoni, Franco Dovat, Liber Laguarda, Agustín |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Alonso Suárez Rodrigo, Universidad de la República (Uruguay). Facultad de Ingeniería. Marchesoni Franco, Universidad de la República (Uruguay). Facultad de Ingeniería. Dovat Liber, Universidad de la República (Uruguay). Facultad de Ingeniería. Laguarda Agustín, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.coverage.spatial.es.fl_str_mv | América del Sur Uruguay |
| dc.creator.none.fl_str_mv | Alonso Suárez, Rodrigo Marchesoni, Franco Dovat, Liber Laguarda, Agustín |
| dc.date.accessioned.none.fl_str_mv | 2021-12-15T20:53:49Z |
| dc.date.available.none.fl_str_mv | 2021-12-15T20:53:49Z |
| dc.date.issued.none.fl_str_mv | 2021 |
| dc.description.abstract.none.fl_txt_mv | This work presents and validates an intra-day operational solar forecast for the southern cone of South America based on GOES16 satellite images. The forecast is evaluated over 12 photovoltaic (PV) generation sites in the northwest of Uruguay. The irradiance predictions are obtained from the combination of different satellite cloudiness forecasts and a standard satellite-to-irradiance conversion model, both specifically adapted to the region. The core of the system is a Cloud Motion Vector (CMV) satellite technique, considered in different spatial resolutions. The optimal linear combination of a single-pixel and space-averaged CMV forecast with the space-averaged persistence is proposed and analyzed. The performance assessment of the individual sub-forecasts and their combination is presented for each time horizon between 10 minutes and 4 hours, with a 10 minutes time step. |
| dc.format.extent.es.fl_str_mv | 6 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Alonso Suárez, R., Marchesoni, F., Dovat, L. y otros. Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants [en línea]. EN: IEEE URUCON 2021, Montevideo, Uruguay, 24-26 nov. 2021, 6 p. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/30459 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | IEEE |
| dc.relation.ispartof.es.fl_str_mv | IEEE URUCON 2021, Montevideo, Uruguay, 24-26 nov. 2021, pp. 1-6. |
| 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 | Solar forecast CMV GOES16 satellite GHI |
| dc.title.none.fl_str_mv | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants |
| 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 | This work presents and validates an intra-day operational solar forecast for the southern cone of South America based on GOES16 satellite images. The forecast is evaluated over 12 photovoltaic (PV) generation sites in the northwest of Uruguay. The irradiance predictions are obtained from the combination of different satellite cloudiness forecasts and a standard satellite-to-irradiance conversion model, both specifically adapted to the region. The core of the system is a Cloud Motion Vector (CMV) satellite technique, considered in different spatial resolutions. The optimal linear combination of a single-pixel and space-averaged CMV forecast with the space-averaged persistence is proposed and analyzed. The performance assessment of the individual sub-forecasts and their combination is presented for each time horizon between 10 minutes and 4 hours, with a 10 minutes time step. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_579ba3ddd2bd7aebb4a35c52af900902 |
| identifier_str_mv | Alonso Suárez, R., Marchesoni, F., Dovat, L. y otros. Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants [en línea]. EN: IEEE URUCON 2021, Montevideo, Uruguay, 24-26 nov. 2021, 6 p. |
| 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:20.500.12008/30459 |
| publishDate | 2021 |
| 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 4.0) |
| spelling | Alonso Suárez Rodrigo, Universidad de la República (Uruguay). Facultad de Ingeniería.Marchesoni Franco, Universidad de la República (Uruguay). Facultad de Ingeniería.Dovat Liber, Universidad de la República (Uruguay). Facultad de Ingeniería.Laguarda Agustín, Universidad de la República (Uruguay). Facultad de Ingeniería.América del SurUruguay2021-12-15T20:53:49Z2021-12-15T20:53:49Z2021Alonso Suárez, R., Marchesoni, F., Dovat, L. y otros. Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants [en línea]. EN: IEEE URUCON 2021, Montevideo, Uruguay, 24-26 nov. 2021, 6 p.https://hdl.handle.net/20.500.12008/30459This work presents and validates an intra-day operational solar forecast for the southern cone of South America based on GOES16 satellite images. The forecast is evaluated over 12 photovoltaic (PV) generation sites in the northwest of Uruguay. The irradiance predictions are obtained from the combination of different satellite cloudiness forecasts and a standard satellite-to-irradiance conversion model, both specifically adapted to the region. The core of the system is a Cloud Motion Vector (CMV) satellite technique, considered in different spatial resolutions. The optimal linear combination of a single-pixel and space-averaged CMV forecast with the space-averaged persistence is proposed and analyzed. The performance assessment of the individual sub-forecasts and their combination is presented for each time horizon between 10 minutes and 4 hours, with a 10 minutes time step.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-12-13T21:22:37Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) AMDL21.pdf: 879234 bytes, checksum: 29dec2697776d77bd7ed63e9e304a7b0 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-12-15T19:07:05Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) AMDL21.pdf: 879234 bytes, checksum: 29dec2697776d77bd7ed63e9e304a7b0 (MD5)Made available in DSpace by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2021-12-15T20:53:49Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) AMDL21.pdf: 879234 bytes, checksum: 29dec2697776d77bd7ed63e9e304a7b0 (MD5) Previous issue date: 20216 p.application/pdfenengIEEEIEEE URUCON 2021, Montevideo, Uruguay, 24-26 nov. 2021, pp. 1-6.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)Solar forecastCMVGOES16 satelliteGHISatellite-based operational solar irradiance forecast for Uruguay’s solar power plantsPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaAlonso Suárez, RodrigoMarchesoni, FrancoDovat, LiberLaguarda, AgustínLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/30459/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/30459/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants Alonso Suárez, Rodrigo Solar forecast CMV GOES16 satellite GHI |
| status_str | publishedVersion |
| title | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants |
| title_full | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants |
| title_fullStr | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants |
| title_full_unstemmed | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants |
| title_short | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants |
| title_sort | Satellite-based operational solar irradiance forecast for Uruguay’s solar power plants |
| topic | Solar forecast CMV GOES16 satellite GHI |
| url | https://hdl.handle.net/20.500.12008/30459 |
