Optimización exergética de una planta de separación de aire en función de la demanda con integración energética

Ilustraciones, diagramas, graficas, tablas

Autores:: Mora Molano, Camilo Andres

Tipo de recurso:

Fecha de publicación:: 2021

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: spa

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dc.title.spa.fl_str_mv	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética
dc.title.translated.eng.fl_str_mv	Exergetic optimization of a cryogenic air separation plant according to demand with energy integration
title	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética
spellingShingle	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética 660 - Ingeniería química Separación de aire criogénico Análisis de exergía Método NSGA-II Demanda variable Cryogenic air separation Exergy analysis NSGA-II method Variable demand Tecnología química Industria química Gas
title_short	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética
title_full	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética
title_fullStr	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética
title_full_unstemmed	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética
title_sort	Optimización exergética de una planta de separación de aire en función de la demanda con integración energética
dc.creator.fl_str_mv	Mora Molano, Camilo Andres
dc.contributor.advisor.none.fl_str_mv	Orjuela, Alvaro
dc.contributor.author.none.fl_str_mv	Mora Molano, Camilo Andres
dc.contributor.researchgroup.spa.fl_str_mv	Grupo de Investigación en Procesos Químicos y Bioquímicos
dc.subject.ddc.spa.fl_str_mv	660 - Ingeniería química
topic	660 - Ingeniería química Separación de aire criogénico Análisis de exergía Método NSGA-II Demanda variable Cryogenic air separation Exergy analysis NSGA-II method Variable demand Tecnología química Industria química Gas
dc.subject.proposal.spa.fl_str_mv	Separación de aire criogénico Análisis de exergía Método NSGA-II Demanda variable
dc.subject.proposal.eng.fl_str_mv	Cryogenic air separation Exergy analysis NSGA-II method Variable demand
dc.subject.unesco.none.fl_str_mv	Tecnología química Industria química Gas
description	Ilustraciones, diagramas, graficas, tablas
publishDate	2021
dc.date.accessioned.none.fl_str_mv	2021-05-03T16:38:13Z
dc.date.available.none.fl_str_mv	2021-05-03T16:38:13Z
dc.date.issued.none.fl_str_mv	2021
dc.type.spa.fl_str_mv	Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv	Image Text
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status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/79463
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/79463 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	spa
language	spa
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The use of energy within industry shifts towards developing economies and lower carbon energy. https://www.bp.com/en/global/corporate/energy-economics/energy-outlook/demand-by-sector/industry.html Carlson, E. C. (1996). Don’t gamble with physical properties for simulations. Chemical Engineering Progress, October, 35–46. Chart. (2020). Brazed Aluminum Heat Exchangers. https://www.chartindustries.com/Energy/Brazed-Aluminum-Heat-Exchangers Codensa. (2020). Tarifas de energía eléctrica reguladas por la CREG. https://www.enel.com.co/content/dam/enel-co/español/personas/1-17-1/2020/Tarifario-enero-2020.pdf Cornelissen, R. . (1997). Thermodynamics and sustainable development: The use of exergy analysis and the reduction of irreversibility. Cornelissen, R. L., & Hirs, G. G. (1998). Exergy analysis of cryogenic air separation. Energy Conversion and Management, 39(16–18), 1821–1826. https://doi.org/10.1016/s0196-8904(98)00062-4 Corpoema. (2014). Determinación y priorización de alternativas de eficiencia energética para los subsectores manufactureros códigos CIIU 19 a 31 en Colombia. 1(Contrato UPME C006 – 2014). Cryogas Grupo Air Prodcuts. (2020). Historia corporativa Cryogas. https://www.cryogas.com.co/web/co/compania/historia#:~:text=Cryogas es una empresa del,15.000 trabajadores en 50 países.&text=Te invitamos a que viajes,desde el nacimiento de Cryogas. DANE. (2007). Encuesta anual manufacturera. https://www.dane.gov.co/index.php/estadisticas-por-tema/industria/encuesta-anual-manufacturera-enam Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182–197. https://doi.org/10.1109/4235.996017 Demirel, Y. (2004). Thermodynamic analysis of separation systems. Separation Science and Technology, 39(16), 3897–3942. https://doi.org/10.1081/SS-200041152 Ebrahimi, A., Meratizaman, M., Reyhani, H. A., Pourali, O., & Amidpour, M. (2015). Energetic, exergetic and economic assessment of oxygen production from two columns cryogenic air separation unit. Energy, 90, 1298–1316. https://doi.org/10.1016/j.energy.2015.06.083 Ebrahimi, A., & Ziabasharhagh, M. (2017). Optimal design and integration of a cryogenic Air Separation Unit (ASU) with Liquefied Natural Gas (LNG) as heat sink, thermodynamic and economic analyses. Energy, 126, 868–885. https://doi.org/10.1016/j.energy.2017.02.145 European Industrial Gases Association AISBL. (2005). Safe Practices Guide for Cryogenic Air Separation Plants Safe Practices Guide for Cryogenic. Fernández, D., Pozo, C., Folgado, R., Jiménez, L., & Guillén-Gosálbez, G. (2018). Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index. Applied Energy, 212(applied energy), 1563–1577. https://doi.org/10.1016/j.apenergy.2017.12.008 Fu, Q., Zhu, L., & Chen, X. (2015). Complete Equation-Oriented Approach for Process Analysis and Optimization of a Cryogenic Air Separation Unit. Industrial and Engineering Chemistry Research, 54(48), 12096–12107. https://doi.org/10.1021/acs.iecr.5b02768 Garside, M. (2018). Global industrial gases market share by company 2017. Statista. https://www.statista.com/statistics/933494/global-market-share-industrial-gases-by-company/ Ghosh, I., Sarangi, S. K., & Das, P. K. (2006). An alternate algorithm for the analysis of multistream plate fin heat exchangers. International Journal of Heat and Mass Transfer, 49(17–18), 2889–2902. https://doi.org/10.1016/j.ijheatmasstransfer.2005.12.022 Grasys. (2020). Tecnología por adsorción. https://www.grasys.com/es/technologies/adsorption/ Guo, K., Zhang, N., & Smith, R. (2015). Optimisation of fin selection and thermal design of counter- current plate-fin heat exchangers. Applied Thermal Engineering, 78, 491–499. https://doi.org/10.1016/j.applthermaleng.2014.11.071 Häring, H.-W. (2008). 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Kita, H., Tanaka, K., & Koga, T. (2008). Gas Separation Membranes. In Kobunshi (Vol. 57, Issue 11). https://doi.org/10.1295/kobunshi.57.894 Lemmon, E. W., Jacobsen, R. T., Penoncello, S. G., & Friend, D. G. (2000). Thermodynamic properties of air and mixtures of nitrogen, argon, and oxygen from 60 to 2000 K at pressures to 2000 MPa. Journal of Physical and Chemical Reference Data, 29(3), 331–362. https://doi.org/10.1063/1.1285884 Lin, S. (2011). NGPM — A NSGA-II Program in Matlab. College of Astronautics, Northwestern Polytechnical University, China. https://www.mathworks.com/matlabcentral/fileexchange/31166-ngpm-a-nsga-ii-program-in-matlab-v1-4 Long, K., & Murphy, M. (2009). World Industrial Gases. Marshall, R., & Scales, B. (2020). Compressed Air Controls. Compressed Air Challenge. https://www.airbestpractices.com/technology/compressor-controls/compressed-air-controls Miller, J., Luyben, W. L., Belanger, P., Blouin, S., & Megan, L. (2008). 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Simulation and optimization of cryogenic air separation units using a homotopy-based backtracking method. Separation and Purification Technology, 67(3), 262–270. https://doi.org/10.1016/j.seppur.2009.03.032 Ziębik, A., & Gładysz, P. (2018). Systems approach to energy and exergy analyses. Energy, 165, 396–407. https://doi.org/10.1016/j.energy.2018.08.214
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dc.format.extent.spa.fl_str_mv	1 recurso en linea (167 paginas)
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dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Química
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv	Bogotá
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Bogotá
institution	Universidad Nacional de Colombia
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spelling	Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Orjuela, Alvaroff44bad1ff384660b8cd40bd903846edMora Molano, Camilo Andresddc41de1a0d77b7d7243ca2df8cd64e8Grupo de Investigación en Procesos Químicos y Bioquímicos2021-05-03T16:38:13Z2021-05-03T16:38:13Z2021https://repositorio.unal.edu.co/handle/unal/79463Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Ilustraciones, diagramas, graficas, tablasLa tecnología de separación criogénica de aire es el método común para la producción de oxígeno, nitrógeno y argón puro a escala industrial. Sin embargo, el alto consumo de energía es el problema más importante para una operación rentable. El objetivo de este trabajo es realizar una simulación y optimización de una planta de destilación criogénica existente, ubicada en Tocancipá – Colombia, la cual presenta una alta integración térmica en su diseño, minimizando la intensidad de energía por kilogramo de productos líquidos. La comparación del consumo específico de energía entre la simulación y las condiciones industriales reales mostró errores relativos absolutos inferiores al 10.4% y respecto al manual de operación (EDM) del 9.4%, validando así el modelo simulado. Para identificar las principales variables que afectan la intensidad energética del proceso, se realizó un análisis de exergía de los principales equipos (intercambiador de múltiples etapas, compresor y columnas de destilación). La optimización empleó el método NSGA-II, utilizando de forma combinada el modelo simulado en Aspen Hysys y la optimización en Matlab. La optimización se realizó resolviendo el problema multiobjetivo de maximizar la eficiencia exergética y la relación de producción de argón, considerando una demanda variable. Finalmente se generan sugerencias basadas en criterios de seguridad, operacionales y financieras para mejorar el desempeño de la planta.The cryogenic air separation process is the most common technique for the production of pure oxygen, nitrogen and argon on an industrial scale. However, high energy consumption is a major problem for a profitable operation. The aim of this work is to perform a simulation and optimization from an existing air separation facility, located in Tocancipá - Colombia, with a high thermal integration in its design, that intends to minimize energy intensity per standard volume of the current processed air stream. The comparison of the specific energy consumption between simulation and real industrial conditions showed absolute relative error lower than 10.4% and regard to engineering manual (EDM) of 9.4%, thus validating the developed model. In order to identify the main variables affecting energy intensity, an exergy analysis of the main equipment (multi-stage exchanger, compressor and distillation columns). The optimization employs the NSGA-II method, carrying out a combination between the simulated model in Aspen Hysys and an optimization in MATLAB. The optimization involved solving a multi-objective problem of maximizing exergy efficiency and argon production ratio, considering a variable demand. Finally, suggestions are generated based on safety, operational and financial criteria to improve the performance of the plant.MaestríaSimulación y Optimización de Procesos1 recurso en linea (167 paginas)application/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería QuímicaFacultad de IngenieríaBogotáUniversidad Nacional de Colombia - Sede Bogotá660 - Ingeniería químicaSeparación de aire criogénicoAnálisis de exergíaMétodo NSGA-IIDemanda variableCryogenic air separationExergy analysisNSGA-II methodVariable demandTecnología químicaIndustria químicaGasOptimización exergética de una planta de separación de aire en función de la demanda con integración energéticaExergetic optimization of a cryogenic air separation plant according to demand with energy integrationTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionImageTexthttp://purl.org/redcol/resource_type/TMAlsultanny, Y. A., & Al-Shammari, N. N. (2014). Oxygen specific power consumption comparison for air separation units. Engineering Journal, 18(2), 67–80. https://doi.org/10.4186/ej.2014.18.2.67Anania, B. P. V, & Llc, L. (2006). Mergers & Acquisitions in the US Industrial Gas Business. PART II – THE MAJOR INDUSTRY SHAPERS.ANDI. (2018). 7 Acciones Prioritarias. Cámara Sectorial de Gases Industriales y Medicinales.ANDI. (2016). Presentación sector gases industriales y medicinales. In ANDI (Ed.), Cámara sectorial de gases industriales y medicinales.Banco de la República. (2017). Grupos económicos de Colombia. https://enciclopedia.banrepcultural.org/index.php/Grupos_económicos_en_ColombiaBriones, A., & Gutiérrez, C. (2018). Multiobjective Optimization of Chemical Processes with Complete Models using MATLAB and Aspen plus. Computacion y Sistemas, 22(4), 1157–1170. https://doi.org/10.13053/CyS-22-4-3087British Petroleum. (2020). The use of energy within industry shifts towards developing economies and lower carbon energy. https://www.bp.com/en/global/corporate/energy-economics/energy-outlook/demand-by-sector/industry.htmlCarlson, E. C. (1996). Don’t gamble with physical properties for simulations. Chemical Engineering Progress, October, 35–46.Chart. (2020). Brazed Aluminum Heat Exchangers. https://www.chartindustries.com/Energy/Brazed-Aluminum-Heat-ExchangersCodensa. (2020). Tarifas de energía eléctrica reguladas por la CREG. https://www.enel.com.co/content/dam/enel-co/español/personas/1-17-1/2020/Tarifario-enero-2020.pdfCornelissen, R. . (1997). Thermodynamics and sustainable development: The use of exergy analysis and the reduction of irreversibility.Cornelissen, R. L., & Hirs, G. G. (1998). Exergy analysis of cryogenic air separation. Energy Conversion and Management, 39(16–18), 1821–1826. https://doi.org/10.1016/s0196-8904(98)00062-4Corpoema. (2014). Determinación y priorización de alternativas de eficiencia energética para los subsectores manufactureros códigos CIIU 19 a 31 en Colombia. 1(Contrato UPME C006 – 2014).Cryogas Grupo Air Prodcuts. (2020). Historia corporativa Cryogas. https://www.cryogas.com.co/web/co/compania/historia#:~:text=Cryogas es una empresa del,15.000 trabajadores en 50 países.&text=Te invitamos a que viajes,desde el nacimiento de Cryogas.DANE. (2007). Encuesta anual manufacturera. https://www.dane.gov.co/index.php/estadisticas-por-tema/industria/encuesta-anual-manufacturera-enamDeb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182–197. https://doi.org/10.1109/4235.996017Demirel, Y. (2004). Thermodynamic analysis of separation systems. Separation Science and Technology, 39(16), 3897–3942. https://doi.org/10.1081/SS-200041152Ebrahimi, A., Meratizaman, M., Reyhani, H. 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Energy, 165, 396–407. https://doi.org/10.1016/j.energy.2018.08.214ORIGINAL1020736280.2021.pdf1020736280.2021.pdfTesis de Maestría en Ingeniería Químicaapplication/pdf3984845https://repositorio.unal.edu.co/bitstream/unal/79463/1/1020736280.2021.pdf41b72b7190038db7a08835c3903a7ff0MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/79463/2/license.txtcccfe52f796b7c63423298c2d3365fc6MD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.unal.edu.co/bitstream/unal/79463/3/license_rdf4460e5956bc1d1639be9ae6146a50347MD53THUMBNAIL1020736280.2021.pdf.jpg1020736280.2021.pdf.jpgGenerated Thumbnailimage/jpeg5429https://repositorio.unal.edu.co/bitstream/unal/79463/4/1020736280.2021.pdf.jpgaa829cbf8cf7c3c71ef334b330815b3bMD54unal/79463oai:repositorio.unal.edu.co:unal/794632024-07-30 23:11:22.145Repositorio Institucional Universidad Nacional de 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