Evaluation of energy alternatives through FAHP for the energization of colombian insular areas
In this study, the methodology of the Analytical Hierarchy Process with fuzzy logic (FAHP) is implemented to provide decision criteria in the selection, planning and development of electric power generation projects from renewable energy sources in the insular regions of Colombia. In this study, six...
- Autores:
-
Moreno Rocha, Christian Manuel
Florian Domingue, Esnaider D.
Diaz castillo, Daniel
Logreira Vargas, Kevin
MEDINA GUZMAN, ANDRES ALFREDO
- 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:11323/9844
- Acceso en línea:
- https://hdl.handle.net/11323/9844
https://repositorio.cuc.edu.co/
- Palabra clave:
- Hierarchical
Analytical process FAHP
Renewable energy
Decision making
Multi-criteria
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Evaluation of energy alternatives through FAHP for the energization of colombian insular areas |
| title |
Evaluation of energy alternatives through FAHP for the energization of colombian insular areas |
| spellingShingle |
Evaluation of energy alternatives through FAHP for the energization of colombian insular areas Hierarchical Analytical process FAHP Renewable energy Decision making Multi-criteria |
| title_short |
Evaluation of energy alternatives through FAHP for the energization of colombian insular areas |
| title_full |
Evaluation of energy alternatives through FAHP for the energization of colombian insular areas |
| title_fullStr |
Evaluation of energy alternatives through FAHP for the energization of colombian insular areas |
| title_full_unstemmed |
Evaluation of energy alternatives through FAHP for the energization of colombian insular areas |
| title_sort |
Evaluation of energy alternatives through FAHP for the energization of colombian insular areas |
| dc.creator.fl_str_mv |
Moreno Rocha, Christian Manuel Florian Domingue, Esnaider D. Diaz castillo, Daniel Logreira Vargas, Kevin MEDINA GUZMAN, ANDRES ALFREDO |
| dc.contributor.author.none.fl_str_mv |
Moreno Rocha, Christian Manuel Florian Domingue, Esnaider D. Diaz castillo, Daniel Logreira Vargas, Kevin MEDINA GUZMAN, ANDRES ALFREDO |
| dc.subject.proposal.eng.fl_str_mv |
Hierarchical Analytical process FAHP Renewable energy Decision making Multi-criteria |
| topic |
Hierarchical Analytical process FAHP Renewable energy Decision making Multi-criteria |
| description |
In this study, the methodology of the Analytical Hierarchy Process with fuzzy logic (FAHP) is implemented to provide decision criteria in the selection, planning and development of electric power generation projects from renewable energy sources in the insular regions of Colombia. In this study, six renewable energy sources were considered, biomass combustion, anaerobic digestion of biomass, biogas landfills, waste incineration, photovoltaic energy and hydrogen-generated energy, due to their energy potential in insular areas and not interconnected with the national electricity system. To determine the order of priority in the development of energy conversion technologies, a questionnaire was drawn up and sent to a group of experts. Given the need to generate electricity in a sustainable way, the information was analyzed under four main criteria: technical, environmental, social and economic. Sixteen additional subcriteria were selected based on a literature review. In general, the economic criterion is the most relevant in the area due to the high investment and operating costs of electricity generation. The social criterion highlights the opportunity to create new jobs very important for the study area, while the environmental criterion highlights the component of renewable energy substitution and environmental care, a key aspect in the diversification of the energy matrix, which is part of the country's political agenda. Regarding the technological component, self-consumption photovoltaic energy seems the most favorable due to its low environmental impact and the considerable price reduction experienced by the solar panel market in recent years. |
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2022 |
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2022 |
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2023-01-30T14:41:33Z |
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2023-01-30T14:41:33Z |
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Artículo de revista |
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Moreno Rocha, C. M., Domingue, E. D. F., Castillo, D. A. D., Vargas, K. L., & Guzman, A. A. M. (2022). Evaluation of Energy Alternatives through FAHP for the Energization of Colombian Insular Areas. International Journal of Energy Economics and Policy, 12(4), 87–98. https://doi.org/10.32479/ijeep.13056 |
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2146-4553 |
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https://hdl.handle.net/11323/9844 |
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10.32479/ijeep.13056 |
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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 Rocha, C. M., Domingue, E. D. F., Castillo, D. A. D., Vargas, K. L., & Guzman, A. A. M. (2022). Evaluation of Energy Alternatives through FAHP for the Energization of Colombian Insular Areas. International Journal of Energy Economics and Policy, 12(4), 87–98. https://doi.org/10.32479/ijeep.13056 2146-4553 10.32479/ijeep.13056 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/9844 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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International Journal of Energy Economics and Policy |
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Aberilla, J.M., Gallego-Schmid, A., Stamford, L., Azapagic, A. (2020), Design and environmental sustainability assessment of small-scale off-grid energy systems for remote rural communities. Applied Energy, 258(1), 114004. Ajayan, J., Nirmal, D., Mohankumar, P., Saravanan, M., Jagadesh, M., Arivazhagan, L. (2020), A review of photovoltaic performance of organic/inorganic solar cells for future renewable and sustainable energy technologies. Superlattices and Microstructures, 143(1), 106549. Alptekin, S.E. (2012), A fuzzy decision support system for digital camera selection based on user preferences. Expert Systems with Applications, 39(3), 3037-3047. Aragonés-Beltrán, P., Chaparro-González, F., Pastor-Ferrando, J.P., Pla-Rubio, A. (2014), An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66, 222-238. Aristóteles, C. (2015), AHP y AHP Difuso en la selección de la mejor tecnología para la producción de energía eléctrica a partir del carbón mineral. Scientia et Technica, 20(3), 255-260. Baloch, Z.A., Tan, Q., Kamran, H.W., Nawaz, M.A., Albashar, G., Hameed, J. (2022), A multi-perspective assessment approach of renewable energy production: policy perspective analysis. Environment, Development and Sustainability, 24(2), 2164-2192. Bepary, B., Kabir, G. (2022), Occupational risk assessment of wind turbines in Bangladesh. Applied System Innovation, 5(2), 34. Carpitella, S., Ocaña-Levario, S.J., Benítez, J., Certa, A., Izquierdo, J. (2018), A hybrid multi-criteria approach to GPR image mining applied to water supply system maintenance. Journal of Applied Geophysics, 159, 754-764. Castro, A., García, J.L., Sifuentes, E., Linares, M.V. (2010), Estudio del Estado del arte de las aplicaciones de analytic hierarchy process. Culcyt//Tecnología, 51, 144-164. Deveci, K., Güler, Ö. (2020), A CMOPSO based multi-objective optimization of renewable energy planning: Case of Turkey. Renewable Energy, 155(5686), 578-590. Díaz, H., Teixeira, A.P., Soares, C.G. (2022), Application of Monte Carlo and Fuzzy Analytic Hierarchy Processes for ranking floating wind farm locations. Ocean Engineering, 245(1), 110453. DNP. (2016), Instalación de sistemas solares fotovoltaicos individuales en zonas no interconectadas. Journal of Chemical Information and Modeling, 53(9), 1689-1699. Díaz, H., Teixeira, A.P., Guedes Soares, C. (2022), Application of Monte Carlo and Fuzzy Analytic Hierarchy Processes for ranking floating wind farm locations. Ocean Engineering, 245, 110453. García, H., Correodor, A., Calderón, L., Gómez, M. (2013), Análisis Costo Beneficio de Energías Renovables no Convencionales en Colombia, No. 90. Available from: http://www.fedesarrollo.org.co/wp-content/uploads/2011/08/WWF_Analisis-costo-beneficioenergias-renovables-no-convencionales-en-Colombia.pdf González. (2015), Integración de las Energías Renovables No Convencionales en Colombia. In Unidad de Planeación Minero Energética. Available from: http://www1.upme.gov.co/DemandaEnergetica/INTEGRACION_ENERGIAS_RENOVANLES_WEB.pdf He, S., Lu, Y., Li, M. (2022), Probabilistic risk analysis for coal mine gas overrun based on FAHP and BN: A case study. Environmental Science and Pollution Research, 29, 28458-28468. Hernández, J.C.B., Moreno, C., Ospino-Castro, A., Robles-Algarin, C.A., Tobón-Perez, J. (2021), A hybrid energy solution for the sustainable electricity supply of an irrigation system in a rural area of Zona Bananera, Colombia. International Journal of Energy Economics and Policy, 11(4), 521-528. Jamal, T., Urmee, T., Shafiullah, G.M. (2020), Planning of off-grid power supply systems in remote areas using multi-criteria decision analysis. Energy, 201, 117580. Kabir, G., Ahmed, S.K., Aalirezaei, A., Ng, K.T.W. (2022), Benchmarking Canadian solid waste management system integrating fuzzy analytic hierarchy process (FAHP) with efficacy methods. Environmental Science and Pollution Research, In press, https://doi.org/10.1007/s11356-022-19492-5 Khan, A.M., Gupta, M.K., Hegab, H., Jamil, M., Mia, M., He, N., Song, Q., Liu, Z., Pruncu, C.I. (2020), Energy-based cost integrated modelling and sustainability assessment of Al-GnP hybrid nanofluid assisted turning of AISI52100 steel. Journal of Cleaner Production, 257, 120502. Kim, B.C., Kim, J., Kim, J. (2019), Evaluation model for investment in solar photovoltaic power generation using fuzzy analytic hierarchy process. Sustainability (Switzerland), 11(10), 2905. Krejčí, J. (2018), Pairwise comparison matrices and their fuzzy extension: Multi-criteria decision making with a new fuzzy approach. In: Studies in Fuzziness and Soft Computing Vol. 366. ???: ???. Maity, B., Mallick, S.K., Das, P., Rudra, S. (2022), Comparative analysis of groundwater potentiality zone using fuzzy AHP, frequency ratio and Bayesian weights of evidence methods. Applied Water Science, 12(4), 1-16. Manuel, C., Rocha, M. (2022), Implementación de un sistema de adquisición de datos, Convertidor Análogo Digital (CAD) de 16 Bits a bajo ruido. Revista Agunkuyâa, 11(2), 39-58. Manuel, C., Rocha, M., Alfredo, A., Guzman, M., Patricia, A., Pérez, H. (2022), Implementación de un sistema para la medición de fuerza basado en el efecto piezoresistivo. Revista Agunkuyâa, 11(2), 76-92. Mayor, J., Botero, S., González-Ruiz, J.D. (2016), Modelo de decisión multicriterio difuso para la selección de contratistas en proyectos de infraestructura: caso Colombia. Obras y Proyectos, 20, 56-74. Mehrjerdi, H. (2020), Modeling, integration, and optimal selection of the turbine technology in the hybrid wind-photovoltaic renewable energy system design. Energy Conversion and Management, 205(1), 112350. Mendonça, M.B., Haddad, A.N. 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(2009), Criterios de Evaluación y Análisis de Alternativas Para el Diseño de Proyectos de Electrificación Rural con Energía Eólica y Solar en Países En Desarrollo, No. 52. Available from: https://core.ac.uk/download/pdf/41799448.pdf%0Ahttp://upcommons.upc.edu/bitstream/handle/2099.1/11564/Memoria.pdf?sequence=1&isAllowed=y Olabanji, O.M., Mpofu, K. (2020), Hybridized fuzzy analytic hierarchy process and fuzzy weighted average for identifying optimal design concept. Heliyon, 6(1), e03182. Ong, M.S., Chang, M.Y., Foong, M.J., Chiew, J.J., Teh, K.C., Tan, J., Lim, S.S., Foo, D.C.Y. (2020), An integrated approach for sustainability assessment with hybrid AHP-LCA-PI techniques for chitosan-based TiO2 nanotubes production. Sustainable Production and Consumption, 21, 170-181. Ozorhon, B., Batmaz, A., Caglayan, S. (2018), Generating a framework to facilitate decision making in renewable energy investments. Renewable and Sustainable Energy Reviews, 95(1), 217-226. Pinto, F. 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(2017), A fuzzy logic decision support system for assessing sustainable alternative for power generation in non-interconnected areas of Colombia-case of study. Chemical Engineering Transactions, 57, 421-426. Savino, M.M., Manzini, R., Selva, V.D., Accorsi, R. (2017), A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines. Applied Energy, 189, 739-752. Şengül, Ü., Eren, M., Shiraz, SE., Gezder, V., Sengül, A.B. (2015), Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy, 75, 617-625. Srinivasan, C.S., Zanello, G., Nkegbe, P., Cherukuri, R., Picchioni, F., Gowdru, N., Webb, P. (2020), Drudgery reduction, physical activity and energy requirements in rural livelihoods. Economics and Human Biology, 37, 100846. Yang, M., Ji, Z., Zhang, L., Zhang, A., Xia, Y. (2022), A hybrid comprehensive performance evaluation approach of cutter holder for tunnel boring machine. Advanced Engineering Informatics, 52(1), 101546. Zeng, Y., Guo, W., Wang, H., Zhang, F. (2020), A two-stage evaluation and optimization method for renewable energy development based on data envelopment analysis. Applied Energy, 262(1), 114363. Zhang, J., Qu, Q., Chen, X.B. (2022), Assessing the sustainable safety practices based on human behavior factors: an application to Chinese petrochemical industry. Environmental Science and Pollution Research, 2022, 0123456789. Zhou, J., Wu, Y., Wu, C., Deng, Z., Xu, C., Hu, Y. (2019), A hybrid fuzzy multi-criteria decision-making approach for performance analysis and evaluation of park-level integrated energy system. Energy Conversion and Management, 201(1), 112134. Zhou, X. (2012), Fuzzy analytical network process implementation with Matlab. In: MATLAB a Fundamental Tool for Scientific Computing and Engineering Applications. Norderstedt: BoD Books on Demand. Zhu, Y., Tan, J., Cao, Y., Liu, Y., Liu, Y., Zhang, Q., Liu, Q. (2022), Application of Fuzzy analytic hierarchy process in environmental economics education: Under the online and offline blended teaching mode. Sustainability, 14(4), 2414. |
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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 Rocha, Christian Manuel Florian Domingue, Esnaider D.Diaz castillo, Daniel Logreira Vargas, KevinMEDINA GUZMAN, ANDRES ALFREDO2023-01-30T14:41:33Z2023-01-30T14:41:33Z2022Moreno Rocha, C. M., Domingue, E. D. F., Castillo, D. A. D., Vargas, K. L., & Guzman, A. A. M. (2022). Evaluation of Energy Alternatives through FAHP for the Energization of Colombian Insular Areas. International Journal of Energy Economics and Policy, 12(4), 87–98. https://doi.org/10.32479/ijeep.130562146-4553https://hdl.handle.net/11323/984410.32479/ijeep.13056Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In this study, the methodology of the Analytical Hierarchy Process with fuzzy logic (FAHP) is implemented to provide decision criteria in the selection, planning and development of electric power generation projects from renewable energy sources in the insular regions of Colombia. In this study, six renewable energy sources were considered, biomass combustion, anaerobic digestion of biomass, biogas landfills, waste incineration, photovoltaic energy and hydrogen-generated energy, due to their energy potential in insular areas and not interconnected with the national electricity system. To determine the order of priority in the development of energy conversion technologies, a questionnaire was drawn up and sent to a group of experts. Given the need to generate electricity in a sustainable way, the information was analyzed under four main criteria: technical, environmental, social and economic. Sixteen additional subcriteria were selected based on a literature review. In general, the economic criterion is the most relevant in the area due to the high investment and operating costs of electricity generation. The social criterion highlights the opportunity to create new jobs very important for the study area, while the environmental criterion highlights the component of renewable energy substitution and environmental care, a key aspect in the diversification of the energy matrix, which is part of the country's political agenda. Regarding the technological component, self-consumption photovoltaic energy seems the most favorable due to its low environmental impact and the considerable price reduction experienced by the solar panel market in recent years.12 páginasapplication/pdfengEconJournalsTurkeyhttps://econjournals.com/index.php/ijeep/article/view/13056Evaluation of energy alternatives through FAHP for the energization of colombian insular areasArtículo 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_970fb48d4fbd8a85ColombiaInternational Journal of Energy Economics and PolicyAberilla, J.M., Gallego-Schmid, A., Stamford, L., Azapagic, A. (2020), Design and environmental sustainability assessment of small-scale off-grid energy systems for remote rural communities. Applied Energy, 258(1), 114004.Ajayan, J., Nirmal, D., Mohankumar, P., Saravanan, M., Jagadesh, M., Arivazhagan, L. (2020), A review of photovoltaic performance of organic/inorganic solar cells for future renewable and sustainable energy technologies. Superlattices and Microstructures, 143(1), 106549.Alptekin, S.E. (2012), A fuzzy decision support system for digital camera selection based on user preferences. Expert Systems with Applications, 39(3), 3037-3047.Aragonés-Beltrán, P., Chaparro-González, F., Pastor-Ferrando, J.P., Pla-Rubio, A. (2014), An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy, 66, 222-238.Aristóteles, C. (2015), AHP y AHP Difuso en la selección de la mejor tecnología para la producción de energía eléctrica a partir del carbón mineral. Scientia et Technica, 20(3), 255-260.Baloch, Z.A., Tan, Q., Kamran, H.W., Nawaz, M.A., Albashar, G., Hameed, J. (2022), A multi-perspective assessment approach of renewable energy production: policy perspective analysis. Environment, Development and Sustainability, 24(2), 2164-2192.Bepary, B., Kabir, G. (2022), Occupational risk assessment of wind turbines in Bangladesh. Applied System Innovation, 5(2), 34.Carpitella, S., Ocaña-Levario, S.J., Benítez, J., Certa, A., Izquierdo, J. (2018), A hybrid multi-criteria approach to GPR image mining applied to water supply system maintenance. Journal of Applied Geophysics, 159, 754-764.Castro, A., García, J.L., Sifuentes, E., Linares, M.V. (2010), Estudio del Estado del arte de las aplicaciones de analytic hierarchy process. Culcyt//Tecnología, 51, 144-164.Deveci, K., Güler, Ö. (2020), A CMOPSO based multi-objective optimization of renewable energy planning: Case of Turkey. Renewable Energy, 155(5686), 578-590.Díaz, H., Teixeira, A.P., Soares, C.G. (2022), Application of Monte Carlo and Fuzzy Analytic Hierarchy Processes for ranking floating wind farm locations. Ocean Engineering, 245(1), 110453.DNP. (2016), Instalación de sistemas solares fotovoltaicos individuales en zonas no interconectadas. Journal of Chemical Information and Modeling, 53(9), 1689-1699.Díaz, H., Teixeira, A.P., Guedes Soares, C. (2022), Application of Monte Carlo and Fuzzy Analytic Hierarchy Processes for ranking floating wind farm locations. Ocean Engineering, 245, 110453.García, H., Correodor, A., Calderón, L., Gómez, M. (2013), Análisis Costo Beneficio de Energías Renovables no Convencionales en Colombia, No. 90. Available from: http://www.fedesarrollo.org.co/wp-content/uploads/2011/08/WWF_Analisis-costo-beneficioenergias-renovables-no-convencionales-en-Colombia.pdfGonzález. (2015), Integración de las Energías Renovables No Convencionales en Colombia. 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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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