Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source
This article presents a comparison of energy generation using two methods of power production for different geographical locations. For this comparison, the HOMER software was used, which allows simulating generation systems with different energy sources. For the development of these simulations it...
- Autores:
-
Rojas Suárez, Jhan Piero
Romero-Garcia , Gonzalo
Villada Castillo, Dora Clemencia
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Universidad Francisco de Paula Santander
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/6571
- Acceso en línea:
- https://repositorio.ufps.edu.co/handle/ufps/6571
https://doi.org/10.32479/ijeep.11864
- Palabra clave:
- Renewable Energies
Solar Energy,
Wind Energy
Hybrid Energy System,
Multiobjective Optimization
- Rights
- openAccess
- License
- © 2022 by the authors
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dc.title.eng.fl_str_mv |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source |
title |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source |
spellingShingle |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source Renewable Energies Solar Energy, Wind Energy Hybrid Energy System, Multiobjective Optimization |
title_short |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source |
title_full |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source |
title_fullStr |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source |
title_full_unstemmed |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source |
title_sort |
Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source |
dc.creator.fl_str_mv |
Rojas Suárez, Jhan Piero Romero-Garcia , Gonzalo Villada Castillo, Dora Clemencia |
dc.contributor.author.none.fl_str_mv |
Rojas Suárez, Jhan Piero Romero-Garcia , Gonzalo Villada Castillo, Dora Clemencia |
dc.contributor.corporatename.spa.fl_str_mv |
International Journal of Energy Economics and Policy |
dc.subject.proposal.eng.fl_str_mv |
Renewable Energies Solar Energy, Wind Energy Hybrid Energy System, Multiobjective Optimization |
topic |
Renewable Energies Solar Energy, Wind Energy Hybrid Energy System, Multiobjective Optimization |
description |
This article presents a comparison of energy generation using two methods of power production for different geographical locations. For this comparison, the HOMER software was used, which allows simulating generation systems with different energy sources. For the development of these simulations it was necessary to collect three parameters in the locations to be analyzed, which were wind speed, solar radiation and temperature. The photovoltaic array system was simulated using from 10 to 200 units with a constant value of one wind turbine, while for the wind turbine system, 1 to 9 units were used together with a constant value of 100 photovoltaic arrays. For the photovoltaic system, there is no major difference in the net project cost, the renewable fraction and the annual carbon dioxide production when using a greater number of arrays, but an increase in energy production is observed, a greater effect is obtained by changing the location of the system, analyzing the wind system a greater number of turbines increases the energy production, but also increase the annual carbon dioxide production and project cost, there is no significant difference between locations for the project cost the other parameters are affected. By using an optimization algorithm in the systems, the best performance was obtained in Puerto Bolivar using 105 photovoltaic arrays of 1kW and 3 wind turbines of 1.5MW. |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2022-11-21T21:09:51Z |
dc.date.available.none.fl_str_mv |
2022-11-21T21:09:51Z |
dc.date.issued.none.fl_str_mv |
2022-01-19 |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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Text |
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info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.ufps.edu.co/handle/ufps/6571 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.32479/ijeep.11864 |
url |
https://repositorio.ufps.edu.co/handle/ufps/6571 https://doi.org/10.32479/ijeep.11864 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
International Journal of Energy Economics and Policy. vol 12 No°1[2022] |
dc.relation.citationedition.spa.fl_str_mv |
Vol. 12 No° 1 [2022] |
dc.relation.citationendpage.spa.fl_str_mv |
499 |
dc.relation.citationissue.spa.fl_str_mv |
1[2022] |
dc.relation.citationstartpage.spa.fl_str_mv |
494 |
dc.relation.citationvolume.spa.fl_str_mv |
12 |
dc.relation.cites.none.fl_str_mv |
Rojas, J. P., García, G. R., & Castillo, D. V. (2022). Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source. International Journal of Energy Economics and Policy, 12(1), 494–499. https://doi.org/10.32479/ijeep.11864 |
dc.relation.ispartofjournal.spa.fl_str_mv |
International Journal of Energy Economics and Policy |
dc.rights.eng.fl_str_mv |
© 2022 by the authors |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
dc.rights.creativecommons.spa.fl_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
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© 2022 by the authors https://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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6 |
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application/pdf |
dc.publisher.spa.fl_str_mv |
International Journal of Energy Economics and Policy |
dc.publisher.place.spa.fl_str_mv |
Turquía |
dc.source.spa.fl_str_mv |
https://econjournals.com/index.php/ijeep/article/view/11864 |
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Universidad Francisco de Paula Santander |
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Rojas Suárez, Jhan Piero96cb752d974d2a7f4f66513af6ebbf8d600Romero-Garcia , Gonzalo574476e1b8e0869bd67ac5bcda25f49a600Villada Castillo, Dora Clemenciad929ab931a412170fca5470d53bb2b8c600International Journal of Energy Economics and Policy2022-11-21T21:09:51Z2022-11-21T21:09:51Z2022-01-19https://repositorio.ufps.edu.co/handle/ufps/6571https://doi.org/10.32479/ijeep.11864This article presents a comparison of energy generation using two methods of power production for different geographical locations. For this comparison, the HOMER software was used, which allows simulating generation systems with different energy sources. For the development of these simulations it was necessary to collect three parameters in the locations to be analyzed, which were wind speed, solar radiation and temperature. The photovoltaic array system was simulated using from 10 to 200 units with a constant value of one wind turbine, while for the wind turbine system, 1 to 9 units were used together with a constant value of 100 photovoltaic arrays. For the photovoltaic system, there is no major difference in the net project cost, the renewable fraction and the annual carbon dioxide production when using a greater number of arrays, but an increase in energy production is observed, a greater effect is obtained by changing the location of the system, analyzing the wind system a greater number of turbines increases the energy production, but also increase the annual carbon dioxide production and project cost, there is no significant difference between locations for the project cost the other parameters are affected. By using an optimization algorithm in the systems, the best performance was obtained in Puerto Bolivar using 105 photovoltaic arrays of 1kW and 3 wind turbines of 1.5MW.6application/pdfengInternational Journal of Energy Economics and PolicyTurquíaInternational Journal of Energy Economics and Policy. vol 12 No°1[2022]Vol. 12 No° 1 [2022]4991[2022]49412Rojas, J. P., García, G. R., & Castillo, D. V. (2022). Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy Source. International Journal of Energy Economics and Policy, 12(1), 494–499. https://doi.org/10.32479/ijeep.11864International Journal of Energy Economics and Policy© 2022 by the authorshttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2https://econjournals.com/index.php/ijeep/article/view/11864Economic and Environmental Multiobjective Optimization of a Hybrid Power Generation System using Solar and Wind Energy SourceArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Renewable EnergiesSolar Energy,Wind EnergyHybrid Energy System,Multiobjective OptimizationAbdul-Wahab, S., Mujezinovic, K., Al-Mahruqi, A.M. (2019), Optimal design and evaluation of a hybrid energy system for off-grid remote Area. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1, 1-13.Al Ghaithi, H.M., Fotis, G.P., Vita, V. (2017). Techno-economic assessment of hybrid energy off-grid system-a case study for Masirah Island in Oman. International Journal of Power and Energy Research, 1(2), 1-10.Calderón, S., Alvarez, A.C., Loboguerrero, A.M., Arango, S., Calvin, K., Kober, T., Daenzer, K., Fisher-Vanden, K. (2016), Achieving CO2 reductions in Colombia: Effects of carbon taxes and abatement targets. Energy Economics, 56, 575-86.Capellán-Pérez, I., Campos-Celador, A., Terés-Zubiaga, J. (2018), Renewable energy cooperatives as an instrument towards the energy transition in Spain. Energy Policy 123, 215-229.Carvajal-Romo, G., Valderrama-Mendoza, M., Rodríguez-Urrego, D., Rodríguez-Urrego, L. (2019), Assessment of solar and wind energy potential in La Guajira, Colombia: Current status, and future prospects. Sustainable Energy Technologies and Assessments, 36, 100531.Haghighat Mamaghani, A., Escandon, S.A.A., Najafi, B., Shirazi, A., Rinaldi, F. (2016), Techno-economic feasibility of photovoltaic, wind, diesel and hybrid electrification systems for off-grid rural electrification in Colombia. Renewable Energy, 97, 293-305.IEA. (2019), World Energy Outlook 2019 エ. World Energy Outlook Sereies. Available form: https://www.iea.org/reports/world-energyoutlook-2019Li, H.X., Edwards, D.J., Hosseini, M.R., Costin, G.P. (2020), A review on renewable energy transition in Australia: An updated depiction. Journal of Cleaner Production, 242, 118475.Nieves, J.A., Aristizábal, A.J., Dyner, I., Báez, O., Ospina, D.H. (2019), Energy demand and greenhouse gas emissions analysis in Colombia: A LEAP model application. Energy, 169, 380-397.Ram, M., Aghahosseini, A., Breyer, C. (2020), Job creation during the global energy transition towards 100% renewable power system by 2050. Technological Forecasting and Social Change, 151, 119682.Sadiqa, A., Gulagi, A., Breyer, C. (2018), Energy transition roadmap towards 100% renewable energy and role of storage technologies for Pakistan by 2050. Energy, 147, 518-533.Strambo, C., Espinosa, A.C.G. (2020), Extraction and development: Fossil fuel production narratives and counternarratives in Colombia. Climate Policy, 20(8), 931-948.Valencia, G., Benavides, A., Cárdenas, Y. (2019), Economic and environmental multiobjective optimization of a wind-solar-fuel cell hybrid energy system in the Colombian Caribbean region. 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 incorporada en las Obras Colectivas.

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

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

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

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

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

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

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

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

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

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

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

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

7. Término.

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

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

8. Varios.

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

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

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

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0003-2682-988096cb752d974d2a7f4f66513af6ebbf8d6000000-0003-3794-928Xd929ab931a412170fca5470d53bb2b8c600 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