Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP
The implementation of electrification programs in non-interconnected rural areas in Colombia is a challenge for the country in order to reduce the social gap in these regions. This task is responsibility of the Mining and Energy Planning Unit (UPME), which has as challenges the implementation of ren...
- Autores:
-
Moreno, Christian
Ospino-Castro, Adalberto
Robles Algarín, Carlos
Ospino C., Adalberto
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9843
- Acceso en línea:
- https://hdl.handle.net/11323/9843
https://repositorio.cuc.edu.co/
- Palabra clave:
- Decision-making
Fuzzy analytical hierarchical process
Renewable energy
Energy planning
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP |
| title |
Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP |
| spellingShingle |
Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP Decision-making Fuzzy analytical hierarchical process Renewable energy Energy planning |
| title_short |
Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP |
| title_full |
Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP |
| title_fullStr |
Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP |
| title_full_unstemmed |
Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP |
| title_sort |
Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP |
| dc.creator.fl_str_mv |
Moreno, Christian Ospino-Castro, Adalberto Robles Algarín, Carlos Ospino C., Adalberto |
| dc.contributor.author.none.fl_str_mv |
Moreno, Christian Ospino-Castro, Adalberto Robles Algarín, Carlos Ospino C., Adalberto |
| dc.subject.proposal.eng.fl_str_mv |
Decision-making Fuzzy analytical hierarchical process Renewable energy Energy planning |
| topic |
Decision-making Fuzzy analytical hierarchical process Renewable energy Energy planning |
| description |
The implementation of electrification programs in non-interconnected rural areas in Colombia is a challenge for the country in order to reduce the social gap in these regions. This task is responsibility of the Mining and Energy Planning Unit (UPME), which has as challenges the implementation of renewable energy projects that allow diversifying the national energy matrix. For this reason, this paper proposes a support framework for multicriteria decision-making in the electricity supply of non-interconnected rural areas for the Colombian Caribbean Region. The multicriteria method of the Fuzzy Analytical Hierarchical Process (FAHP) was used, which allows the incorporation of a fuzzy triangular scale to improve the imprecision in the judgments made by experts. A hierarchical structure with 6 renewable energy alternatives, 4 criteria and 16 sub-criteria was designed, which allowed the implementation of a paired comparison survey that was answered by 10 experts from the region. The results obtained show the relevance of all alternatives, which is evidenced by a percentage difference of less than 5% between all the options. The best alternative was solar PV (20,27%). Regarding the criteria, the most relevant were economic (39,6%) and environmental (30,8%). The most relevant sub-criterion was the renewable fraction, related to the possible reuse of equipment (20,2%). |
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2022 |
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2022 |
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2023-01-30T14:39:16Z |
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2023-01-30T14:39:16Z |
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Moreno, C. ., Ospino-Castro, A., & Robles-Algarín, C. (2022). Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP. International Journal of Energy Economics and Policy, 12(5), 79–87. https://doi.org/10.32479/ijeep.12913 |
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2146-4553 |
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https://hdl.handle.net/11323/9843 |
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10.32479/ijeep.12913 |
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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/ |
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Moreno, C. ., Ospino-Castro, A., & Robles-Algarín, C. (2022). Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP. International Journal of Energy Economics and Policy, 12(5), 79–87. https://doi.org/10.32479/ijeep.12913 2146-4553 10.32479/ijeep.12913 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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International Journal of Energy Economics and Policy |
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Algarín, C., Llanos, A., Castro, A. (2017), An analytic hierarchy process based approach for evaluating renewable energy sources. International Journal of Energy Economics and Policy, 7(4), 38-47. Alizadeh, R., Soltanisehat, L., Lund, P., Zamanisabzi, H. (2020), Improving renewable energy policy planning and decision-making through a hybrid MCDM method. Energy Policy, 137, 111174. Awad, J., Jung, C. (2022), Extracting the planning elements for sustainable urban regeneration in Dubai with AHP (Analytic hierarchy process). Sustainable Cities and Society, 76, 103496. Canco, I., Kruja, D., Iancu, T. (2021), Ahp, a reliable method for quality decision making: A case study in business. Sustainability, 13(24), 13932. Castro, A.J. (2010), Análisis del potencial energético solar en la región Caribe para el diseño de un sistema fotovoltaico. Inge CUC, 6(1), 95-102. Günen, M. (2021), A comprehensive framework based on GIS-AHP for the installation of solar PV farms in Kahramanmaraş, Turkey. Renewable Energy, 178, 212-225. Jusakulvijit, P., Bezama, A., Thrän, D. (2021), Criteria prioritization for the sustainable development of second-generation bioethanol in Thailand using the Delphi-AHP technique. Energy, Sustainability and Society, 11(1), 37. Kandakoglu, A., Frini, A., Amor, S.B. (2019), Multicriteria decision making for sustainable development: A systematic review. Journal of Multi-Criteria Decision Analysis, 26(5-6), 202-251. Muñoz, Y., Zafra, D., Acevedo, V., Ospino, A. (2014), Analysis of energy production with different photovoltaic technologies in the Colombian geography. International Congress of Mechanical Engineering and Agricultural Sciences, 59, 1-9. Nuriyev, M. (2021), An integrated approach for renewable energy resource and plant location selection. International Journal of Energy Economics and Policy, 11(3), 64-72. Ospino-Castro, A., Peña-Gallardo, R., Hernández-Rodríguez, A., Segundo-Ramírez, J., Muñoz-Maldonado, Y. (2017), EchnoEconomic Evaluation of a Grid-Connected Hybrid PV-Wind Power Generation System in San Luis Potosi, Mexico. IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). Ixtapa, Mexico: IEEE, pp. 1-6. Ossei-Bremang, R., Kemausuor, F. (2021), A decision support system for the selection of sustainable biomass resources for bioenergy production. Environment Systems and Decisions, 41(3), 437-454. Papaioannou, G., Vasiliades, L., Loukas, A. (2015), Multi-criteria analysis framework for potential flood prone areas mapping. Water Resources Management, 29(2), 399-418. Parra-Calderón, C., Osorio-Gómez, J., Escandón-López, J. (2019), Metodología multicriterio para la selección de proveedores bajo consideraciones de riesgo. Scientia Et Technica, 24(2), 232-239. Pérez, J., Vargas, C., Riaño, D. (2019), Colombia towards an electricity generation matrix using renewable energies. Renewable Energy and Power Quality Journal, 17, 224-228. Robles-Algarín, C., Taborda-Giraldo, J. and Ospino-Castro, A. (2018). Aprocedure for criteria selection in the energy planning of Colombian rural areas. Informacion Tecnologica, 29(3), 71-80. Saraswat, S., Digalwar, A. (2021), Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach. Renewable Energy, 171, 58-74. Seker, S., Kahraman, C. (2021), Socio-economic evaluation model for sustainable solar PV panels using a novel integrated MCDM methodology: Acase in Turkey. Socio-Economic Planning Sciences, Ulewicz, R., Siwiec, D., Pacana, A., Tutak, M., Brodny, J. (2021), Multicriteria method for the selection of renewable energy sources in the polish industrial sector. Energies, 14(9), 2386. UPME. (2015), Integración De Las Energías Renovables no Convencionales En Colombia. Colombia, UPME. Available from: https://www1.upme.gov.co/demandaenergetica/integracion_energias_renovanles_web.pdf UPME. (2020). Plan Energético Nacional 2020-2050. Available from: https://www1.upme.gov.co/demandayeficiencia/documents/pen_2020_2050/plan_energetico_nacional_2020_2050.pdf Vinogradova‐Zinkevič, I., Podvezko, V., Zavadskas, E. (2021), Comparative assessment of the stability of ahp and fahp methods. Symmetry, 13(3), 479. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Moreno, ChristianOspino-Castro, AdalbertoRobles Algarín, CarlosOspino C., Adalbertovirtual::884-12023-01-30T14:39:16Z2023-01-30T14:39:16Z2022Moreno, C. ., Ospino-Castro, A., & Robles-Algarín, C. (2022). Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP. International Journal of Energy Economics and Policy, 12(5), 79–87. https://doi.org/10.32479/ijeep.129132146-4553https://hdl.handle.net/11323/984310.32479/ijeep.12913Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The implementation of electrification programs in non-interconnected rural areas in Colombia is a challenge for the country in order to reduce the social gap in these regions. This task is responsibility of the Mining and Energy Planning Unit (UPME), which has as challenges the implementation of renewable energy projects that allow diversifying the national energy matrix. For this reason, this paper proposes a support framework for multicriteria decision-making in the electricity supply of non-interconnected rural areas for the Colombian Caribbean Region. The multicriteria method of the Fuzzy Analytical Hierarchical Process (FAHP) was used, which allows the incorporation of a fuzzy triangular scale to improve the imprecision in the judgments made by experts. A hierarchical structure with 6 renewable energy alternatives, 4 criteria and 16 sub-criteria was designed, which allowed the implementation of a paired comparison survey that was answered by 10 experts from the region. The results obtained show the relevance of all alternatives, which is evidenced by a percentage difference of less than 5% between all the options. The best alternative was solar PV (20,27%). Regarding the criteria, the most relevant were economic (39,6%) and environmental (30,8%). The most relevant sub-criterion was the renewable fraction, related to the possible reuse of equipment (20,2%).9 páginasapplication/pdfengEconJournalsTurkeyhttps://econjournals.com/index.php/ijeep/article/view/12913Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHPArtículo 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_970fb48d4fbd8a85International Journal of Energy Economics and PolicyAlgarín, C., Llanos, A., Castro, A. (2017), An analytic hierarchy process based approach for evaluating renewable energy sources. International Journal of Energy Economics and Policy, 7(4), 38-47.Alizadeh, R., Soltanisehat, L., Lund, P., Zamanisabzi, H. (2020), Improving renewable energy policy planning and decision-making through a hybrid MCDM method. Energy Policy, 137, 111174.Awad, J., Jung, C. (2022), Extracting the planning elements for sustainable urban regeneration in Dubai with AHP (Analytic hierarchy process). Sustainable Cities and Society, 76, 103496.Canco, I., Kruja, D., Iancu, T. (2021), Ahp, a reliable method for quality decision making: A case study in business. Sustainability, 13(24), 13932.Castro, A.J. (2010), Análisis del potencial energético solar en la región Caribe para el diseño de un sistema fotovoltaico. Inge CUC, 6(1), 95-102.Günen, M. (2021), A comprehensive framework based on GIS-AHP for the installation of solar PV farms in Kahramanmaraş, Turkey. Renewable Energy, 178, 212-225.Jusakulvijit, P., Bezama, A., Thrän, D. (2021), Criteria prioritization for the sustainable development of second-generation bioethanol in Thailand using the Delphi-AHP technique. Energy, Sustainability and Society, 11(1), 37.Kandakoglu, A., Frini, A., Amor, S.B. (2019), Multicriteria decision making for sustainable development: A systematic review. Journal of Multi-Criteria Decision Analysis, 26(5-6), 202-251.Muñoz, Y., Zafra, D., Acevedo, V., Ospino, A. (2014), Analysis of energy production with different photovoltaic technologies in the Colombian geography. International Congress of Mechanical Engineering and Agricultural Sciences, 59, 1-9.Nuriyev, M. (2021), An integrated approach for renewable energy resource and plant location selection. International Journal of Energy Economics and Policy, 11(3), 64-72.Ospino-Castro, A., Peña-Gallardo, R., Hernández-Rodríguez, A., Segundo-Ramírez, J., Muñoz-Maldonado, Y. (2017), EchnoEconomic Evaluation of a Grid-Connected Hybrid PV-Wind Power Generation System in San Luis Potosi, Mexico. IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). Ixtapa, Mexico: IEEE, pp. 1-6.Ossei-Bremang, R., Kemausuor, F. (2021), A decision support system for the selection of sustainable biomass resources for bioenergy production. Environment Systems and Decisions, 41(3), 437-454.Papaioannou, G., Vasiliades, L., Loukas, A. (2015), Multi-criteria analysis framework for potential flood prone areas mapping. Water Resources Management, 29(2), 399-418.Parra-Calderón, C., Osorio-Gómez, J., Escandón-López, J. (2019), Metodología multicriterio para la selección de proveedores bajo consideraciones de riesgo. Scientia Et Technica, 24(2), 232-239.Pérez, J., Vargas, C., Riaño, D. (2019), Colombia towards an electricity generation matrix using renewable energies. Renewable Energy and Power Quality Journal, 17, 224-228.Robles-Algarín, C., Taborda-Giraldo, J. and Ospino-Castro, A. (2018). Aprocedure for criteria selection in the energy planning of Colombian rural areas. Informacion Tecnologica, 29(3), 71-80.Saraswat, S., Digalwar, A. (2021), Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach. Renewable Energy, 171, 58-74.Seker, S., Kahraman, C. (2021), Socio-economic evaluation model for sustainable solar PV panels using a novel integrated MCDM methodology: Acase in Turkey. Socio-Economic Planning Sciences,Ulewicz, R., Siwiec, D., Pacana, A., Tutak, M., Brodny, J. (2021), Multicriteria method for the selection of renewable energy sources in the polish industrial sector. Energies, 14(9), 2386.UPME. (2015), Integración De Las Energías Renovables no Convencionales En Colombia. Colombia, UPME. Available from: https://www1.upme.gov.co/demandaenergetica/integracion_energias_renovanles_web.pdfUPME. (2020). Plan Energético Nacional 2020-2050. Available from: https://www1.upme.gov.co/demandayeficiencia/documents/pen_2020_2050/plan_energetico_nacional_2020_2050.pdfVinogradova‐Zinkevič, I., Podvezko, V., Zavadskas, E. (2021), Comparative assessment of the stability of ahp and fahp methods. Symmetry, 13(3), 479.8779512Decision-makingFuzzy analytical hierarchical processRenewable energyEnergy planningPublicationaf89e44d-2c08-45ae-b01c-cd941b86fa8avirtual::884-1af89e44d-2c08-45ae-b01c-cd941b86fa8avirtual::884-1https://scholar.google.es/citations?user=ODmDjToAAAAJ&hl=esvirtual::884-10000-0003-1466-0424virtual::884-1ORIGINALDecision-making support framework for electricity supply in non-interconnected rural areas based on FAHP.pdfDecision-making support framework for electricity supply in non-interconnected rural areas based on FAHP.pdfArtículoapplication/pdf1446639https://repositorio.cuc.edu.co/bitstreams/226700ef-2a78-43b5-9a16-8d56076b2490/download97777a6a4a0893b0b323068a62689db8MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/50639a96-916f-4a44-aa30-e913beb6c3ea/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTDecision-making support framework for electricity supply in non-interconnected rural areas based on 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ada 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.
 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