DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed
The traditional assessment of wind resource considers the ambient factors like temperature, pressure and humidity as a secondary parameter, and focus on the statistically evaluation of wind magnitude and direction. Nevertheless, the evaluation requires a deeper analysis of the above ambient factors,...
- Autores:
-
Vega Zuñiga, Samuel
Rueda Bayona, Juan Gabriel
Ospino Castro, Adalberto
Ospino C., Adalberto
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13636
- Acceso en línea:
- https://hdl.handle.net/11323/13636
https://repositorio.cuc.edu.co/
- Palabra clave:
- Design of Experiments-Analysis of Variance
Wind speed
Pressure
Multiple regression
Humidity
Temperature
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed |
| title |
DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed |
| spellingShingle |
DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed Design of Experiments-Analysis of Variance Wind speed Pressure Multiple regression Humidity Temperature |
| title_short |
DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed |
| title_full |
DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed |
| title_fullStr |
DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed |
| title_full_unstemmed |
DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed |
| title_sort |
DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed |
| dc.creator.fl_str_mv |
Vega Zuñiga, Samuel Rueda Bayona, Juan Gabriel Ospino Castro, Adalberto Ospino C., Adalberto |
| dc.contributor.author.none.fl_str_mv |
Vega Zuñiga, Samuel Rueda Bayona, Juan Gabriel Ospino Castro, Adalberto Ospino C., Adalberto |
| dc.subject.proposal.eng.fl_str_mv |
Design of Experiments-Analysis of Variance Wind speed Pressure Multiple regression Humidity Temperature |
| topic |
Design of Experiments-Analysis of Variance Wind speed Pressure Multiple regression Humidity Temperature |
| description |
The traditional assessment of wind resource considers the ambient factors like temperature, pressure and humidity as a secondary parameter, and focus on the statistically evaluation of wind magnitude and direction. Nevertheless, the evaluation requires a deeper analysis of the above ambient factors, because they are thermodynamically linked, and the energy flux among them will affect the wind dynamics. This research aims to analyse the interactions of temperature, pressure, and humidity variables with the wind speed with an inverse approach, it means that wind will be controlled by the ambient variables. We conducted a statistical analysis using data from a meteorological station located in the University of the Coast in Barranquilla, Colombia. The methodology is based on a Design of Experiments-Analysis of Variance (DOE-ANOVA) with a 32 factorial design. The estimated effects from the DOE-ANOVA results were utilized to generate standardized effect equations, for evaluating the response of wind speed during changes of the studied ambient variables (factors). The results evidenced that the applied methodology provided information about the non-linear interactions of the analysed variables, and the standardized effect equations were tested against a liner regression model with satisfactory results. |
| publishDate |
2024 |
| dc.date.accessioned.none.fl_str_mv |
2024-11-05T12:49:28Z |
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2024-11-05T12:49:28Z |
| dc.date.issued.none.fl_str_mv |
2024-03-28 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Vega-Zuñiga, S., Rueda-Bayona, J.G., Ospino-Castro, A. (2024). DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed. Mathematical Modelling of Engineering Problems, Vol. 11, No. 3, pp. 657-663. https://doi.org/10.18280/mmep.110309 |
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2369-0739 |
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https://hdl.handle.net/11323/13636 |
| dc.identifier.doi.none.fl_str_mv |
10.18280/mmep.110309 |
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2369-0747 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Vega-Zuñiga, S., Rueda-Bayona, J.G., Ospino-Castro, A. (2024). DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed. Mathematical Modelling of Engineering Problems, Vol. 11, No. 3, pp. 657-663. https://doi.org/10.18280/mmep.110309 2369-0739 10.18280/mmep.110309 2369-0747 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/13636 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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Mathematical Modelling of Engineering Problems |
| dc.relation.references.none.fl_str_mv |
Santhosh, M., Venkaiah, C., Vinod Kumar, D.M. (2020). Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review. Engineering Reports, 2(6): e12178. https://doi.org/10.1002/eng2.12178. Tapia, C. (2023). Las principales energías renovables según Mark Jacobson. laverdadnoticias.com, Cancún. Lee, C.H., Chou, C.C., Chung, X.H., Zeng, P.W. (2016). Applying climate big-data to analysis of the correlation between regional wind speed and wind energy generation. In 2016 3rd International Conference on Green Technology and Sustainable Development (GTSD), Kaohsiung, Taiwan, pp. 173-177. https://doi.org/10.1109/GTSD.2016.49 Garza Villegas, J. (2013). Experiment design application for analysis of the drying a product. Innovaciones de Negocios (19): 145-158. Tůmová, O., Kupka, L., Netolický, P. (2018). Design of experiments approach and its application in the evaluation of experiments. In 2018 International Conference on Diagnostics in Electrical Engineering (Diagnostika), Pilsen, Czech Republic, pp. 1-4, https:// doi.org/10.1109/DIAGNOSTIKA.2018.8526104 Gurba-Bryśkiewicz, L., Maruszak, W., Smuga, D.A., Dubiel, K., Wieczorek, M. (2023). Quality by design (QbD) and design of experiments (DOE) as a strategy for tuning lipid nanoparticle formulations for RNA delivery. Biomedicines, 11(10): 2752. https://doi.org/10.3390/ biomedicines11102752 Adewumi, I.O., Azeez, A.A. (2023). Optimization of biofuel production process using design of experiments (Doe). Petro Chem Indus Intern, 6(2): 75-85. https://www.researchgate.net/publication/370132014. Costa, M., Barros Bagno, R. (2016). Aplicação das técnicas ANOVA e DOE na solução de problemas complexos de manufatura: Estudo em uma fábrica de motores a diesel. https://www.researchgate.net/publication/303603669. Elbanna, N., Nofal, A., Hussein, A., Tash, M.M. (2020). Mechanical properties of thin wall ductile iron: Experimental correlation using ANOVA and DOE. Key Engineering Materials, 835: 171-177. https://doi.org/10.4028/www.scientific.net/KEM.835.17 1 Rueda-Bayona, J.G., Guzmán, A., Cabello Eras, J.J. (2020). Selection of JONSWAP spectra parameters during water-depth and sea-state transitions. Journal of Waterway, Port, Coastal, and Ocean Engineering, 146(6): 04020038. https://doi.org/10.1061/(asce)ww.1943- 5460.0000601 Fragasso, J., Moro, L., Lye, L.M., Quinton, B.W. (2019). Characterization of resilient mounts for marine diesel engines: Prediction of static response via nonlinear analysis and response surface methodology. Ocean Engineering, 171: 14-24. https://doi.org/10.1016/j.oceaneng.2018.10.051 Young, D.L., Scully, B.M. (2018). Assessing structure sheltering via statistical analysis of AIS data. Journal of Waterway, Port, Coastal, and Ocean Engineering, 144(3): 04018002. https://doi.org/10.1061/(ASCE)WW.1943- 5460.0000445 Rueda-Bayona, J.G., Carrillo, J., Cabello Eras, J.J. (2023). The wind-current-water levels effect over surface wave parameters nearby the Magdalena River delta: A numerical approach. Mathematical Modelling of Engineering Problems, 10(3): 993-1002. https://doi.org/10.18280/mmep.100333 Tahavorgar, A., Quaicoe, J.E. (2013). Estimation of wake effect in wind farms using design of experiment methodology. In 2013 IEEE Energy Conversion Congress and Exposition, Denver, CO, USA, pp. 3317- 3324. https://doi.org/10.1109/ECCE.2013.6647136 Ukita, Y., Matsushima, T., Hirasawa, S. (2012). A note on ANOVA in an experimental design model based on an orthonormal system. In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul, Republic of Korea, pp. 1990-1995. https://doi.org/10.1109/ICSMC.2012.6378030 Lee, D., Ahn, J., Oh, S.Y. (2014). Response surface smoothing for wind tunnel testing based on design of experiment with subspace partitioning. In 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014), Gyeonggi-do, Korea (South), pp. 207-211. https://doi.org/10.1109/ICCAS.2014.6987987 Zedan, Y., Songmene, V., Samuel, A.M., Samuel, F.H., Doty, H.W. (2022). Assessment of the influence of additives on the mechanical properties and machinability of Al-11% Si cast alloys: Application of DOE and ANOVA methods. Materials, 15(9): 3297. https://doi.org/10.3390/ma15093297 Rueda-Bayona, J.G., Guzmán, A., Osorio, A.F. (2022). DOE-ANOVA for identifying the effect of extreme seastates over the structural dynamic parameters of a floating structure. Mathematical Modelling of Engineering Problems, 9(3): 839-848. https://doi.org/10.18280/mmep.090334 Rueda-Bayona, J.G., Paez, N., Cabello Eras, J.J., Sagastume Gutierrez, A. (2022). DOE-ANOVA to optimize hydrokinetic turbines for low velocity conditions. Mathematical Modelling of Engineering Problems, 9(4): 979-988. https://doi.org/10.18280/mmep.090415 Montgomery, D.C. (2003). Diseño y Análisis de Experimentos. Limusa Wiley. GilPavas, E., Medina, J., Dobrosz-Gómez, I., Gómez, M.Á. (2016). Degradación de colorante amarillo 12 de aguas residuales industriales utilizando hierro cero valente, peróxido de hidrógeno y radiación ultravioleta. Información Tecnológica, 27(3): 23-34. https://doi.org/10.4067/S0718-07642016000300004 Blanco León, J.D. (2021). Potencial de energía solar offshore en la región del caribe Colombiano. Universidad Militar Nueva Granada, Bogotá. |
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Atribución 4.0 Internacional (CC BY 4.0)©2024 The authors.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Vega Zuñiga, SamuelRueda Bayona, Juan GabrielOspino Castro, AdalbertoOspino C., Adalbertovirtual::888-12024-11-05T12:49:28Z2024-11-05T12:49:28Z2024-03-28Vega-Zuñiga, S., Rueda-Bayona, J.G., Ospino-Castro, A. (2024). DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speed. Mathematical Modelling of Engineering Problems, Vol. 11, No. 3, pp. 657-663. https://doi.org/10.18280/mmep.1103092369-0739https://hdl.handle.net/11323/1363610.18280/mmep.1103092369-0747Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The traditional assessment of wind resource considers the ambient factors like temperature, pressure and humidity as a secondary parameter, and focus on the statistically evaluation of wind magnitude and direction. Nevertheless, the evaluation requires a deeper analysis of the above ambient factors, because they are thermodynamically linked, and the energy flux among them will affect the wind dynamics. This research aims to analyse the interactions of temperature, pressure, and humidity variables with the wind speed with an inverse approach, it means that wind will be controlled by the ambient variables. We conducted a statistical analysis using data from a meteorological station located in the University of the Coast in Barranquilla, Colombia. The methodology is based on a Design of Experiments-Analysis of Variance (DOE-ANOVA) with a 32 factorial design. The estimated effects from the DOE-ANOVA results were utilized to generate standardized effect equations, for evaluating the response of wind speed during changes of the studied ambient variables (factors). The results evidenced that the applied methodology provided information about the non-linear interactions of the analysed variables, and the standardized effect equations were tested against a liner regression model with satisfactory results.7 páginasapplication/pdfengInternational Information and Engineering Technology AssociationCanadahttps://iieta.org/journals/mmep/paper/10.18280/mmep.110309DOE-ANOVA analysis to estimate the effect of ambient temperature, pressure and humidity on surface wind speedArtículo de revistahttp://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_970fb48d4fbd8a85Mathematical Modelling of Engineering ProblemsSanthosh, M., Venkaiah, C., Vinod Kumar, D.M. (2020). Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review. Engineering Reports, 2(6): e12178. https://doi.org/10.1002/eng2.12178.Tapia, C. (2023). Las principales energías renovables según Mark Jacobson. laverdadnoticias.com, Cancún.Lee, C.H., Chou, C.C., Chung, X.H., Zeng, P.W. (2016). Applying climate big-data to analysis of the correlation between regional wind speed and wind energy generation. In 2016 3rd International Conference on Green Technology and Sustainable Development (GTSD), Kaohsiung, Taiwan, pp. 173-177. https://doi.org/10.1109/GTSD.2016.49Garza Villegas, J. (2013). Experiment design application for analysis of the drying a product. Innovaciones de Negocios (19): 145-158.Tůmová, O., Kupka, L., Netolický, P. (2018). Design of experiments approach and its application in the evaluation of experiments. In 2018 International Conference on Diagnostics in Electrical Engineering (Diagnostika), Pilsen, Czech Republic, pp. 1-4, https:// doi.org/10.1109/DIAGNOSTIKA.2018.8526104Gurba-Bryśkiewicz, L., Maruszak, W., Smuga, D.A., Dubiel, K., Wieczorek, M. (2023). Quality by design (QbD) and design of experiments (DOE) as a strategy for tuning lipid nanoparticle formulations for RNA delivery. Biomedicines, 11(10): 2752. https://doi.org/10.3390/ biomedicines11102752Adewumi, I.O., Azeez, A.A. (2023). Optimization of biofuel production process using design of experiments (Doe). Petro Chem Indus Intern, 6(2): 75-85. https://www.researchgate.net/publication/370132014.Costa, M., Barros Bagno, R. (2016). Aplicação das técnicas ANOVA e DOE na solução de problemas complexos de manufatura: Estudo em uma fábrica de motores a diesel. https://www.researchgate.net/publication/303603669.Elbanna, N., Nofal, A., Hussein, A., Tash, M.M. (2020). Mechanical properties of thin wall ductile iron: Experimental correlation using ANOVA and DOE. Key Engineering Materials, 835: 171-177. https://doi.org/10.4028/www.scientific.net/KEM.835.17 1Rueda-Bayona, J.G., Guzmán, A., Cabello Eras, J.J. (2020). Selection of JONSWAP spectra parameters during water-depth and sea-state transitions. Journal of Waterway, Port, Coastal, and Ocean Engineering, 146(6): 04020038. https://doi.org/10.1061/(asce)ww.1943- 5460.0000601Fragasso, J., Moro, L., Lye, L.M., Quinton, B.W. (2019). Characterization of resilient mounts for marine diesel engines: Prediction of static response via nonlinear analysis and response surface methodology. Ocean Engineering, 171: 14-24. https://doi.org/10.1016/j.oceaneng.2018.10.051Young, D.L., Scully, B.M. (2018). Assessing structure sheltering via statistical analysis of AIS data. Journal of Waterway, Port, Coastal, and Ocean Engineering, 144(3): 04018002. https://doi.org/10.1061/(ASCE)WW.1943- 5460.0000445Rueda-Bayona, J.G., Carrillo, J., Cabello Eras, J.J. (2023). The wind-current-water levels effect over surface wave parameters nearby the Magdalena River delta: A numerical approach. Mathematical Modelling of Engineering Problems, 10(3): 993-1002. https://doi.org/10.18280/mmep.100333Tahavorgar, A., Quaicoe, J.E. (2013). Estimation of wake effect in wind farms using design of experiment methodology. In 2013 IEEE Energy Conversion Congress and Exposition, Denver, CO, USA, pp. 3317- 3324. https://doi.org/10.1109/ECCE.2013.6647136Ukita, Y., Matsushima, T., Hirasawa, S. (2012). A note on ANOVA in an experimental design model based on an orthonormal system. In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul, Republic of Korea, pp. 1990-1995. https://doi.org/10.1109/ICSMC.2012.6378030Lee, D., Ahn, J., Oh, S.Y. (2014). Response surface smoothing for wind tunnel testing based on design of experiment with subspace partitioning. In 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014), Gyeonggi-do, Korea (South), pp. 207-211. https://doi.org/10.1109/ICCAS.2014.6987987Zedan, Y., Songmene, V., Samuel, A.M., Samuel, F.H., Doty, H.W. (2022). Assessment of the influence of additives on the mechanical properties and machinability of Al-11% Si cast alloys: Application of DOE and ANOVA methods. Materials, 15(9): 3297. https://doi.org/10.3390/ma15093297Rueda-Bayona, J.G., Guzmán, A., Osorio, A.F. (2022). DOE-ANOVA for identifying the effect of extreme seastates over the structural dynamic parameters of a floating structure. Mathematical Modelling of Engineering Problems, 9(3): 839-848. https://doi.org/10.18280/mmep.090334Rueda-Bayona, J.G., Paez, N., Cabello Eras, J.J., Sagastume Gutierrez, A. (2022). DOE-ANOVA to optimize hydrokinetic turbines for low velocity conditions. Mathematical Modelling of Engineering Problems, 9(4): 979-988. https://doi.org/10.18280/mmep.090415Montgomery, D.C. (2003). Diseño y Análisis de Experimentos. Limusa Wiley.GilPavas, E., Medina, J., Dobrosz-Gómez, I., Gómez, M.Á. (2016). Degradación de colorante amarillo 12 de aguas residuales industriales utilizando hierro cero valente, peróxido de hidrógeno y radiación ultravioleta. Información Tecnológica, 27(3): 23-34. https://doi.org/10.4067/S0718-07642016000300004Blanco León, J.D. (2021). Potencial de energía solar offshore en la región del caribe Colombiano. Universidad Militar Nueva Granada, Bogotá.663657311Design of Experiments-Analysis of VarianceWind speedPressureMultiple regressionHumidityTemperaturePublicationaf89e44d-2c08-45ae-b01c-cd941b86fa8avirtual::888-1af89e44d-2c08-45ae-b01c-cd941b86fa8avirtual::888-1https://scholar.google.es/citations?user=ODmDjToAAAAJ&hl=esvirtual::888-10000-0003-1466-0424virtual::888-1ORIGINALDOE-ANOVA Analysis to Estimate the Effect of Ambient Temperature, Pressure and Humidity on Surface Wind Speed.pdfDOE-ANOVA Analysis to Estimate the Effect of Ambient Temperature, Pressure and Humidity on Surface Wind Speed.pdfapplication/pdf1232132https://repositorio.cuc.edu.co/bitstreams/72f0f318-addb-4d43-bb2e-cb8d2d6dfbf5/downloadd5b3fb16f7cfa7a3149485ee16500288MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.cuc.edu.co/bitstreams/62f52445-a0d9-4427-ae7a-fd6cc564d5e9/download73a5432e0b76442b22b026844140d683MD52TEXTDOE-ANOVA Analysis to Estimate the Effect of Ambient Temperature, 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>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.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>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).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>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).</li>
      <li>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.</li>
      <li>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.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>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.</li>
          <li>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.</li>
        </ol>
      </li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>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.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>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.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>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.</li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>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.</li>
      <li>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.</li>
      <li>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.</li>
      <li>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.</li>
    </ol>
  </li>
  <br/>
</ol>
 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