Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia
The document shows the application of the empirical Angström-Prescott model in different places in Norte de Santander, Colombia. The model estimates solar radiation from hours of sunlight, at a site where brightness and solar radiation are measured. The data were obtained from the Institute of Hydro...
- Autores:
-
Contreras Sepulveda, Wilmer
Galban Pineda, Migan Giuseppe
Bustos Marquez, Luis Fernando
Sepúlveda, Sergio
Ramirez Mateus, Jhon Jairo
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/919
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/919
https://doi.org/10.19053/20278306.v11.n2.2021.12765
- Palabra clave:
- solar radiation
Angström-Prescott equation
empirical model,
solar brightness
radiación solar
ecuación de Angström-Prescott,
modelo empírico
brillo solar
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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| dc.title.spa.fl_str_mv |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia |
| dc.title.eng.fl_str_mv |
Angström-Prescott empirical model to estimate solar radiation in Norte de Santander, Colombia |
| title |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia |
| spellingShingle |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia solar radiation Angström-Prescott equation empirical model, solar brightness radiación solar ecuación de Angström-Prescott, modelo empírico brillo solar |
| title_short |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia |
| title_full |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia |
| title_fullStr |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia |
| title_full_unstemmed |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia |
| title_sort |
Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia |
| dc.creator.fl_str_mv |
Contreras Sepulveda, Wilmer Galban Pineda, Migan Giuseppe Bustos Marquez, Luis Fernando Sepúlveda, Sergio Ramirez Mateus, Jhon Jairo |
| dc.contributor.author.none.fl_str_mv |
Contreras Sepulveda, Wilmer Galban Pineda, Migan Giuseppe Bustos Marquez, Luis Fernando Sepúlveda, Sergio Ramirez Mateus, Jhon Jairo |
| dc.subject.proposal.eng.fl_str_mv |
solar radiation Angström-Prescott equation empirical model, solar brightness |
| topic |
solar radiation Angström-Prescott equation empirical model, solar brightness radiación solar ecuación de Angström-Prescott, modelo empírico brillo solar |
| dc.subject.proposal.spa.fl_str_mv |
radiación solar ecuación de Angström-Prescott, modelo empírico brillo solar |
| description |
The document shows the application of the empirical Angström-Prescott model in different places in Norte de Santander, Colombia. The model estimates solar radiation from hours of sunlight, at a site where brightness and solar radiation are measured. The data were obtained from the Institute of Hydrology, Meteorology and Environmental Studies, IDEAM; algorithms were developed in RStudio to process and ana-lyze the information. The model establishes a linear relationship between solar radiation and the hours of sunlight, in a specific geographic location. Therefore, regression analyzes were performed for three different sites, using histori-cal records of brightness and solar radiation, ob-taining the R-squared coefficients of: 0.73, 0.78,and 0.42. The models were then extrapolated to nearby regions with solar brightness records, but without solar radiation data, to obtain an estimate of radiation at these locations. Finally, a database was created with monthly aver-age information on solar radiation for various subregions of Norte de Santander, which can be used for the design and implementation of photovoltaic systems. |
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2021 |
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2021-11-11T22:42:45Z |
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2021-11-11T22:42:45Z |
| dc.date.issued.none.fl_str_mv |
2021-02-15 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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http://repositorio.ufps.edu.co/handle/ufps/919 |
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https://doi.org/10.19053/20278306.v11.n2.2021.12765 |
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http://repositorio.ufps.edu.co/handle/ufps/919 https://doi.org/10.19053/20278306.v11.n2.2021.12765 |
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eng |
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eng |
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Revista de Investigación Desarrollo e Innovación: RIDI |
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Vol.11 No.2.(2021) |
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428 |
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2(2021) |
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413 |
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11 |
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Contreras-Sepúlveda, W., Galban-Pineda, M. G., Bustos-Márquez, L. F., Sepúlveda-Mora, S. B., & Ramírez-Mateus, J. J. (2021). Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia. Revista de Investigación, Desarrollo e Innovación, 11(2), 413–428. https://doi.org/10.19053/20278306.v11.n2.2021.12765 |
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Revista de Investigación Desarrollo e Innovación: RIDI |
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Atribución 4.0 Internacional (CC BY 4.0) |
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openAccess |
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Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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15 páginas |
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application/pdf |
| dc.coverage.country.none.fl_str_mv |
Colombia |
| dc.coverage.region.none.fl_str_mv |
Norte de Santander |
| dc.publisher.spa.fl_str_mv |
Revista de Investigación Desarrollo e Innovación: RIDI |
| dc.publisher.place.spa.fl_str_mv |
Colombia |
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https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/12765 |
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Universidad Francisco de Paula Santander |
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Contreras Sepulveda, Wilmerd45768e202c079a5d8ad2d7ee2e1f75d600Galban Pineda, Migan Giuseppedaf3ab3d0116bc491db2adebcaf5a8d1600Bustos Marquez, Luis Fernando2bcff16ffc093e7b7c5f63c5ce6286b5600Sepúlveda, Sergiof9ae22ff86139103bcba4c4de3e5c280600Ramirez Mateus, Jhon Jairocf27580f0a8d58c85ac2df83330de4856002021-11-11T22:42:45Z2021-11-11T22:42:45Z2021-02-15http://repositorio.ufps.edu.co/handle/ufps/919https://doi.org/10.19053/20278306.v11.n2.2021.12765The document shows the application of the empirical Angström-Prescott model in different places in Norte de Santander, Colombia. The model estimates solar radiation from hours of sunlight, at a site where brightness and solar radiation are measured. The data were obtained from the Institute of Hydrology, Meteorology and Environmental Studies, IDEAM; algorithms were developed in RStudio to process and ana-lyze the information. The model establishes a linear relationship between solar radiation and the hours of sunlight, in a specific geographic location. Therefore, regression analyzes were performed for three different sites, using histori-cal records of brightness and solar radiation, ob-taining the R-squared coefficients of: 0.73, 0.78,and 0.42. The models were then extrapolated to nearby regions with solar brightness records, but without solar radiation data, to obtain an estimate of radiation at these locations. Finally, a database was created with monthly aver-age information on solar radiation for various subregions of Norte de Santander, which can be used for the design and implementation of photovoltaic systems.El documento muestra la aplicación del modelo empírico de Angström-Prescott en diferentes lugares de Norte de Santander, Colombia. El modelo estima la radiación solar a partir de las horas de brillo solar, en un sitio donde se miden el brillo y la radiación solar. Los datos se obtuvieron del Instituto de Hidrología, Meteorología y Estudios Ambientales, IDEAM; se desarrollaron algoritmos en RStudio para procesar y analizar la información. El modelo establece una relación lineal entre la radiación solar y las horas de brillo solar, en un lugar geográfico específico. Por ello, se realizaron análisis de regresión para tres sitios diferentes, usando registros históricos de brillo y radiación solar, obteniendo los coeficientes R-cuadrado de: 0.73, 0.78, y 0.42. Luego, los modelos fueron extrapolados a regiones cercanas con registros de brillo solar, pero sin datos de radiación solar, para obtener una estimación de la radiación en estos lugares. Finalmente, se creó una base de datos con información promedio mensual de radiación solar para varias subregiones de Norte de Santander, que puede utilizarse para el diseño e implementación de sistemas fotovoltaicos.15 páginasapplication/pdfengRevista de Investigación Desarrollo e Innovación: RIDIColombiaRevista de Investigación Desarrollo e Innovación: RIDIVol.11 No.2.(2021)4282(2021)41311Contreras-Sepúlveda, W., Galban-Pineda, M. G., Bustos-Márquez, L. F., Sepúlveda-Mora, S. B., & Ramírez-Mateus, J. J. (2021). Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia. Revista de Investigación, Desarrollo e Innovación, 11(2), 413–428. https://doi.org/10.19053/20278306.v11.n2.2021.12765Revista de Investigación Desarrollo e Innovación: RIDILos artículos aquí publicados están protegidos bajo una licencia Licencia Creative Commons Atribución 4.0 Internacional.info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/12765Modelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, ColombiaAngström-Prescott empirical model to estimate solar radiation in Norte de Santander, ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85ColombiaNorte de Santandersolar radiationAngström-Prescott equationempirical model,solar brightnessradiación solarecuación de Angström-Prescott,modelo empíricobrillo solarAkinoǧlu, B. G., & Ecevit, A. (1990). A further comparison and discussion of sunshine-based models to estimate global solar radiation. Energy, 15 (10), 865–872. https://doi.org/10.1016/0360-5442(90)90068-DAlmorox, J., Benito, M., & Hontoria, C. (2005). Estimation of monthly Angström-Prescott equation coefficients from measured daily data in Toledo, Spain. Renewable Energy, 30 (6), 931–936. https://doi.org/10.1016/j.renene.2004.08.002Asilevi, P. J., Quansah, E., Amekudzi, L. K., Annor, T., & Klutse, N. A. B. (2019). Modeling the spatial distribution of Global Solar Radiation (GSR) over Ghana using the Ångström-Prescott sunshine duration model. Scientific African, 4, e00094. https://doi.org/10.1016/j.sciaf.2019.e00094Basaran, K., Özçift, A., & Kılınç, D. (2019). A New Approach for Prediction of Solar Radiation with Using Ensemble Learning Algorithm. Arabian Journal for Science and Engineering, 44 (8), 7159–7171. https://doi.org/10.1007/s13369-019-03841-7Chelbi, M., Gagnon, Y., & Waewsak, J. (2015). Solar radiation mapping using sunshine duration-based models and interpolation techniques: Application to Tunisia. Energy Conversion and Management, 101, 203–215. https://doi.org/10.1016/j.enconman.2015.04.052Dumas, A., Andrisani, A., Bonnici, M., Graditi, G., Leanza, G., Madonia, M., & Trancossi, M. (2015). A new correlation between global solar energy radiation and daily temperature variations. Solar Energy, 116, 117–124. https://doi.org/10.1016/j.solener.2015.04.002Hough, T. P. (Ed.). (2007). Recent developments in solar energy. Nova Science Publishers, Inc.Hulstrom, R. L. (Ed.). (1989). Solar Resources. The MIT press.Jamil, B., & Bellos, E. (2019). Development of empirical models for estimation of global solar radiation exergy in India. Journal of Cleaner Production, 207, 1–16. https://doi.org/10.1016/j.jclepro.2018.09.246Luna-Carlosama, C., Jiménez-García, F., Moreno-Chuquen, R., & Mulcué-Nieto, L. (2020). Potencial de irradiación solar para generar electricidad en el departamento del Putumayo de Colombia. Revista UIS Ingenierías, 19 (3), 153–161. https://doi.org/10.18273/revuin.v19n3-2020015Maechler, M., Stahel, W., Ruckstuhl, A., Keller, C., Halvorsen, K., Houser, A., Buser, C., Gygax, L., Venables, B., Plate, T., Flckiger, I., Wolbers, M., Keller, M., & Dudoit, S. (2016). sfsmisc: Utilities from “Seminar fuer Statistik” ETH Zurich R package version 1.1-0. doi: https://cran.r-project.org/package=sfsmiscMirai Solutions GmbH. (2017). XLConnect: Excel Connector for R (R package version 0.2-13).Noriega-Angarita, E., Sousa-Santos, V., Quintero-Duran, M., & Gil-Arrieta, C. (2016). Solar radiation prediction for dimensioning photovoltaic systems using artificial neural networks. International Journal of Engineering and Technology, 8 (4), 1817–1825. https://doi.org/10.21817/ijet/2016/v8i4/160804234Paulescu, M., Stefu, N., Calinoiu, D., Paulescu, E., Pop, N., Boata, R., & Mares, O. (2016). Ångström-Prescott equation: Physical basis, empirical models and sensitivity analysis. Renewable and Sustainable Energy Reviews, 62, 495–506. https://doi.org/10.1016/j.rser.2016.04.012Quej, V. H., Almorox, J., Ibrakhimov, M., & Saito, L. (2016). Empirical models for estimating daily global solar radiation in Yucatán Peninsula, Mexico. Energy Conversion and Management, 110, 448–456. https://doi.org/10.1016/j.enconman.2015.12.050Smets, A., Jäger, K., Isabella, O., VanSwaaij, R., & Zeman, M. (2016). Solar Energy: The Physics and Engineering of Photovoltaic Conversion, Technologies and Systems 1st ed. UIT Cambridge Ltd.Unidad de Planeación Minero Energética, UPME. (2015). Integración de las energías renovables no convencionales en Colombia. Recuperado de: http://www.upme.gov.co/Estudios/2015/Integracion_Energias_Renovables/INTEGRACION_ENERGIAS_RENOVANLES_WEB.pdfUrrego-Ortiz, J., Martínez, J. A., Arias, P. A., & Jaramillo-Duque, Á. (2019). Assessment and day-ahead forecasting of hourly solar radiation in Medellín, Colombia. Energies, 12 (22), 4402. https://doi.org/10.3390/en12224402Vélez-Pereira, A. M., Vergara-Vásquez, E. L., Barraza-Coronell, W. D., & Agudelo-Yepes, D. C. (2015). Evaluación de un modelo estadístico para estimar la radiación solar en Magdalena, Colombia. TecnoLógicas, 18 (35), 35–44. https://doi.org/10.22430/22565337.196Wang, J., Wang, E., Yin, H., Feng, L., & Zhao, Y. (2015). Differences between observed and calculated solar radiations and their impact on simulated crop yields. Field Crops Research, 176, 1–10. https://doi.org/10.1016/j.fcr.2015.02.014Yaniktepe, B., & Genc, Y. A. (2015). Establishing new model for predicting the global solar radiation on horizontal surface. International Journal of Hydrogen Energy, 40 (44), 15278–15283. https://doi.org/10.1016/j.ijhydene.2015.02.064Zeileis, A., & Grothendieck, G. (2005). zoo: S3 Infrastructure for Regular and Irregular Time Series. Journal of Statistical Software, 14 (6), 1–27. http://arxiv.org/abs/math/0505527ORIGINALModelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia.pdfModelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia.pdfapplication/pdf2468379https://repositorio.ufps.edu.co/bitstream/ufps/919/1/Modelo%20emp%c3%adrico%20de%20Angstr%c3%b6m-Prescott%20para%20estimar%20la%20radiaci%c3%b3n%20solar%20en%20Norte%20de%20Santander%2c%20Colombia.pdf2b0646964309e8b79c84580a9cde87b4MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.ufps.edu.co/bitstream/ufps/919/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTModelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia.pdf.txtModelo empírico de Angström-Prescott para estimar la radiación solar en Norte de Santander, Colombia.pdf.txtExtracted 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0003-4465-966X2bcff16ffc093e7b7c5f63c5ce6286b56000000-0002-1248-7616f9ae22ff86139103bcba4c4de3e5c2806000000-0002-4387-6147cf27580f0a8d58c85ac2df83330de485600 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