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dc.contributor.advisorMeneses Jácome, Alexanderspa
dc.contributor.authorIbañez Reyes, Eduardspa
dc.coverage.spatialBucaramanga (Santander, Colombia)spa
dc.coverage.temporal2019spa
dc.date.accessioned2020-08-02T20:50:25Z
dc.date.available2020-08-02T20:50:25Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/20.500.12749/7108
dc.description.abstractPara una extractora de aceite que tiene tratamiento de sus aguas residuales, se han identificado, por medio de literatura, sus parámetros dentro de su sistema de reactor anaeróbico, también se caracterizaron sus efluentes a fin de determinar a condiciones normales de operación cuánto biogás y concentración de metano se producía en dicho sistema. Tomando como referencia proyectos previos que se han desarrollado en Colombia, se hace una extrapolación de datos en el fraccionamiento de DQO del efluente a fin usar dichos valores para una simulación en la herramienta computacional GPS-X con un reactor anaerobio de alta tasa para altas concentraciones de sólidos totales presentes en el agua residual; habiendo hecho esto se determinan las variables que posiblemente afecta el proceso de digestión y en consecuencia la baja producción de un biogás con relativa baja concentración de metano. Se eligen dos escenarios para simular el proyecto del grupo Daabon: por un lado, se tiene un DQO con baja solubilidad y por el lado contrario con una alta solubilidad de su DQO en su efluente de trabajo; donde se muestra el comportamiento de la generación del biogás al cambiar dichas variables. En la parte final de cada simulación de logran apreciar las características con la que sale el agua trata, ya sea para un vertimiento final (si cumple con la normatividad ambiental vigente) o para ser la alimentación de un proceso secundario de tratamiento para mejorar dicha calidad final. Por último, se presentan situaciones en las que se aprecia cuánto puede bajar con diferentes concentraciones de 𝐻2𝑆spa
dc.description.tableofcontentsINTRODUCCION 3 1. MARCO REFERENCIAL 4 1.1 MARCO TEÓRICO Y ESTADO DEL ARTE 4 1.1.1 GENERALIDADES: ACEITE DE PALMA Y PRINCIPALES MERCADOS 4 1.1.2 POME: DEFINICIÓN, PROBLEMÁTICAS Y COMPOSICIÓN TÍPICA ...5 1.1.3 TECNOLOGÍAS DE TRATAMIENTO CONVENCIONALES 7 1.1.4 VALORIZACIÓN DEL BIOGÁS 10 2. OBJETIVOS 14 2.1 OBJETIVO GENERAL 14 2.2 OBJETIVOS ESPECIFICOS 14 3. METODOLOGÍA 15 4. FUENTES DE INFORMACIÓN PARA EL MODELAMIENTO 17 4.1 “PROYECTO SOMBRILLA” 17 4.2 PROYECTO “GRUPO DAABON” 20 4.3 ANÁLISIS CRÍTICO DE LA INFORMACION DE LOS PROYECTOS SOMBRILLA Y DAABON 21 4.4 MODELAMIENTO DEL POME 26 4.5 ESTRATEGIA DE MODELAMIENTO 34 5. RESULTADOS DE SIMULACIÓN 36 5.1 SIMULACIÓN CON EL MODELO POME “CASO BASE” 36 5.2 SIMULACIÓN CON EL MODELO POME “CASO AJUSTADO” 39 5.3 AJUSTE DE LA PRODUCCIÓN DE BIGÁS POR GENERACION DE ÁCIDO SULFHÍDRICO ( 𝑯𝟐𝑺 ) A PARTIR DE SULFATOS (𝑺𝑶𝟒 −) 43 6. CONCLUSIONES 45 Bibliografía 47spa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.titleEstudio de la generación y composición de biogás en tratamiento de efluentes con biodigestores carpados en la industria de extracción de aceite de palma mediante simulaciónspa
dc.title.translatedStudy of the generation and composition of biogas in effluent treatment with carp biodigesters in the palm oil extraction industry through simulationeng
dc.degree.nameIngeniero en Energíaspa
dc.publisher.grantorUniversidad Autónoma de Bucaramanga UNABspa
dc.rights.localAbierto (Texto Completo)spa
dc.publisher.programPregrado Ingeniería en Energíaspa
dc.description.degreelevelPregradospa
dc.type.driverinfo:eu-repo/semantics/bachelorThesis
dc.type.localTrabajo de Gradospa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.subject.keywordsEnergy engineeringeng
dc.subject.keywordsBioreactoreng
dc.subject.keywordsGPS-Xeng
dc.subject.keywordsPOMEeng
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga - UNABspa
dc.identifier.reponamereponame:Repositorio Institucional UNABspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
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dc.contributor.cvlacMeneses Jácome, Alexander [0000326020]*
dc.contributor.orcidMeneses Jácome, Alexander [0000-0001-7258-6467]
dc.contributor.scopusMeneses Jácome, Alexander [56433490100]*
dc.contributor.researchgateMeneses Jácome, Alexander [Alexander-Meneses-Jacome]*
dc.subject.lembInnovaciones tecnológicasspa
dc.subject.lembAceite de palmaspa
dc.subject.lembBiogásspa
dc.identifier.repourlrepourl:https://repository.unab.edu.cospa
dc.description.abstractenglishFor an oil extractor that has sewage treatment, its parameters have been identified through its anaerobic reactor system through literature, its effluents were also characterized in order to determine under normal operating conditions how much biogas and concentration Methane was produced in that system. Taking as reference previous projects that have been developed in Colombia, an extrapolation of data is made in the COD fractionation of the effluent in order to use these values for a simulation in the GPS-X computational tool with a high-rate anaerobic reactor for high concentrations of total solids present in the wastewater; Having done this, the variables that possibly affect the digestion process and consequently the low production of a biogas with a relatively low concentration of methane are determined. Two scenarios are chosen to simulate the Daabon group project: on the one hand, there is a COD with low solubility and on the other hand with a high solubility of its COD in its work effluent; where the behavior of the biogas generation is shown when changing these variables. In the final part of each simulation they manage to appreciate the characteristics with which the water comes out treats, either for a final discharge (if it complies with the current environmental regulations) or to be the feeding of a secondary treatment process to improve said quality final. Finally, there are situations in which you can see how much you can lower with different concentrations of 𝐻2𝑆eng
dc.subject.proposalIngeniería en energíaspa
dc.subject.proposalBiorreactorspa
dc.subject.proposalGPS-Xspa
dc.subject.proposalPOMEspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TP
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.contributor.researchgroupGrupo de Investigación Recursos, Energía, Sostenibilidad - GIRESspa
dc.contributor.researchgroupGrupo de Investigaciones Clínicasspa
dc.coverage.campusUNAB Campus Bucaramangaspa
dc.description.learningmodalityModalidad Presencialspa


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