Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana

La planificación de un proyecto para la generación de energía eólica es compleja, dado que hay que tener en cuenta una gran cantidad de variables para la selección de zonas aceptables para ubicar este tipo de proyectos. Una de las principales dificultades para desarrollar un parque offshore wind es...

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Autores:
Mangones Cordero, Amanda De Jesus
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
spa
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/10362
Acceso en línea:
https://hdl.handle.net/11323/10362
https://repositorio.cuc.edu.co/
Palabra clave:
GIS
AHP
FAHP y Offshore wind
FAHP and Offshore wind
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openAccess
License
Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
id RCUC2_051ac86abc138bba3da1fe68c6f7316d
oai_identifier_str oai:repositorio.cuc.edu.co:11323/10362
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
title Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
spellingShingle Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
GIS
AHP
FAHP y Offshore wind
FAHP and Offshore wind
title_short Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
title_full Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
title_fullStr Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
title_full_unstemmed Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
title_sort Técnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombiana
dc.creator.fl_str_mv Mangones Cordero, Amanda De Jesus
dc.contributor.advisor.none.fl_str_mv Ospino Castro, Adalberto
Robles Algarín, Carlos
dc.contributor.author.none.fl_str_mv Mangones Cordero, Amanda De Jesus
dc.contributor.jury.none.fl_str_mv Moreno Rocha, Christian
Muñoz Maldonado, Yesid
dc.subject.proposal.spa.fl_str_mv GIS
AHP
FAHP y Offshore wind
topic GIS
AHP
FAHP y Offshore wind
FAHP and Offshore wind
dc.subject.proposal.eng.fl_str_mv FAHP and Offshore wind
description La planificación de un proyecto para la generación de energía eólica es compleja, dado que hay que tener en cuenta una gran cantidad de variables para la selección de zonas aceptables para ubicar este tipo de proyectos. Una de las principales dificultades para desarrollar un parque offshore wind es encontrar la ubicación idónea para construirlo; esto puede llevar años de estudios de factibilidad. El objetivo principal de esta investigación es utilizar el proceso de jerarquía analítica difusa (FAHP) para priorizar un grupo de criterios y subcriterios, como apoyo a la toma de decisiones para la selección de áreas adecuadas para la implementación de proyectos de offshore wind en el mar caribe colombiano. En conjunto a un sistema de Información geográfica (GIS) el cual ayuda a desglosar las características físicas en la superficie del mar caribe para la gestión, análisis y la visualización de datos geográficos. Esta herramienta desempeña un papel crítico en la evaluación y selección de los sitios que cumplan con todos los criterios evaluados, dado que este proporcionaría una base de datos de indicadores y la visualización de mapas. Los criterios a aplicar en este estudio fueron seleccionados en base a los parámetros más recurrentemente empleados en otros trabajos de investigación. Se presentan cuatro criterios: técnico, ambiental, social y económico. Y catorce subcriterios. Además, todos los factores fueron priorizados por medio de la opinión expertos en el tema y utilizando el FAHP. Los resultados mostraron que los subcriterios más relevantes fueron las áreas protegidas (19,59%) y la velocidad del viento (13,61%). Finalmente, aplicando la herramienta ArcGIS Pro se detectaron cinco zonas que cumplen con todos los criterios escogidos, lo cual permite definir las áreas más factibles para la instalación de parques offshore wind, Estas se encuentran ubicadas en la parte norte del país, más exactamente en los departamentos de: Guajira, Magdalena, Atlántico y Bolívar.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-08-04T14:27:47Z
dc.date.available.none.fl_str_mv 2023-08-04T14:27:47Z
dc.date.issued.none.fl_str_mv 2023
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/10362
dc.identifier.instname.spa.fl_str_mv Corporacion Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/10362
https://repositorio.cuc.edu.co/
identifier_str_mv Corporacion Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.spa.fl_str_mv spa
language spa
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spelling Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ospino Castro, AdalbertoRobles Algarín, CarlosMangones Cordero, Amanda De JesusMoreno Rocha, ChristianMuñoz Maldonado, Yesid2023-08-04T14:27:47Z2023-08-04T14:27:47Z2023https://hdl.handle.net/11323/10362Corporacion Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/La planificación de un proyecto para la generación de energía eólica es compleja, dado que hay que tener en cuenta una gran cantidad de variables para la selección de zonas aceptables para ubicar este tipo de proyectos. Una de las principales dificultades para desarrollar un parque offshore wind es encontrar la ubicación idónea para construirlo; esto puede llevar años de estudios de factibilidad. El objetivo principal de esta investigación es utilizar el proceso de jerarquía analítica difusa (FAHP) para priorizar un grupo de criterios y subcriterios, como apoyo a la toma de decisiones para la selección de áreas adecuadas para la implementación de proyectos de offshore wind en el mar caribe colombiano. En conjunto a un sistema de Información geográfica (GIS) el cual ayuda a desglosar las características físicas en la superficie del mar caribe para la gestión, análisis y la visualización de datos geográficos. Esta herramienta desempeña un papel crítico en la evaluación y selección de los sitios que cumplan con todos los criterios evaluados, dado que este proporcionaría una base de datos de indicadores y la visualización de mapas. Los criterios a aplicar en este estudio fueron seleccionados en base a los parámetros más recurrentemente empleados en otros trabajos de investigación. Se presentan cuatro criterios: técnico, ambiental, social y económico. Y catorce subcriterios. Además, todos los factores fueron priorizados por medio de la opinión expertos en el tema y utilizando el FAHP. Los resultados mostraron que los subcriterios más relevantes fueron las áreas protegidas (19,59%) y la velocidad del viento (13,61%). Finalmente, aplicando la herramienta ArcGIS Pro se detectaron cinco zonas que cumplen con todos los criterios escogidos, lo cual permite definir las áreas más factibles para la instalación de parques offshore wind, Estas se encuentran ubicadas en la parte norte del país, más exactamente en los departamentos de: Guajira, Magdalena, Atlántico y Bolívar.Planning a wind power generation project is intricate, considering the number of variables to be careful in the acceptable zone selection for its siting. One of the difficulties of developing a wind farm is finding the most satisfactory location to build it; this can take years of feasibility studies. The main objective of this research is to use the Fuzzy Analytic Hierarchy Process (FAHP) to prioritize a group of criteria and sub-criteria as decision-making support for the selection of suitable areas in which implementing wind energy projects in the Colombian Caribbean Sea. In conjunction with a Geographic Information System (GIS), which aids in the breakdown of physical characteristics on the surface of the Caribbean Sea for the management, analysis, and visualization of geographic data. This tool plays a critical role in the evaluation and selection of sites that meet all the assessed criteria, as it provides a database of indicators and map visualization. The criteria to be applied in this study were selected based on the most recurrently employed criteria in other research papers. Four criteria are presented: technical, environmental, social, and economic; and fourteen sub-criteria. Also, all factors were prioritized through the participation of experts and using the FAHP. The results showed that the most relevant sub-criteria were protected areas (19,59%) and wind speed (13,61%). Finally, applying the ArcGIS Pro tool, five zones were detected that meet all the selected criteria, thereby enabling the definition of the most feasible areas for offshore wind farm installation. These zones are located in the northern part of the country, specifically in the departments of La Guajira, Magdalena, Atlántico, and Bolívar.Lista de tablas y figuras 6--Capítulo 1 8--Introducción 8--Objetivos 13--Capítulo 2 14--Estado del arte 14--Capítulo 3 23--Marco teórico 23--Energía eólica en Colombia 23--Sistema de Información Geográfica (GIS) 24--Criterios Técnicos 28 Criterios Económicos 33--Criterios ambientales 39--Criterios Sociales / Políticos 41 Proceso de jerarquía analítica (FAHP) 46--Construcción de la estructura jerárquica 47--Establecimiento de las comparaciones pareadas 48--Cálculo de las matrices de comparación 49--Cálculo de las ponderaciones 49--Evaluación de las alternativas 51--Toma de decisión 53--Capítulo 4 54--Metodología 54--Capítulo 5 60--Resultados 60--Conclusiones73--Referencias75Magíster en Eficiencia Energética y Energía RenovableMaestría111 páginasapplication/pdfspaCorporación Universidad de la CostaEnergíaBarranquilla, ColombiaMaestría en Eficiencia Energética y Energía RenovableTécnica multicriterio basada en Gis-Fahp para la factibilidad de proyectos Offshore Wind en la región caribe colombianaTrabajo de grado - MaestríaTextinfo:eu-repo/semantics/masterThesishttp://purl.org/redcol/resource_type/TMinfo:eu-repo/semantics/acceptedVersionColombiaRegión CaribeAjanaku, B. 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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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