Evaluación termodinámica del proceso de pirólisis de biomasa

Esta investigación presenta la evaluación termodinámica y cinética del proceso de pirólisis de la tusa de maíz, una biomasa lignocelulósica de amplia disponibilidad. Se desarrolla y valida un modelo cinético capaz de predecir los rendimientos y la composición de los productos generados (sólidos, líq...

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Autores:
Hernández Contreras, Luis Fernando
Tipo de recurso:
Fecha de publicación:
2025
Institución:
Universidad de Córdoba
Repositorio:
Repositorio Institucional Unicórdoba
Idioma:
spa
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oai:repositorio.unicordoba.edu.co:ucordoba/9462
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https://repositorio.unicordoba.edu.co/handle/ucordoba/9462
https://repositorio.unicordoba.edu.co
Palabra clave:
Pirólisis de biomasa
Análisis exergético local
Modelo cinético
Deconvolucion Asym2sig
Biomass pyrolysis
Local exergy analysis
Kinetic model
Asym2sig deconvolution.
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openAccess
License
Copyright Universidad de Córdoba, 2025
id UCORDOBA2_1de97a12038be49d8441cb8f6267edbf
oai_identifier_str oai:repositorio.unicordoba.edu.co:ucordoba/9462
network_acronym_str UCORDOBA2
network_name_str Repositorio Institucional Unicórdoba
repository_id_str
dc.title.spa.fl_str_mv Evaluación termodinámica del proceso de pirólisis de biomasa
title Evaluación termodinámica del proceso de pirólisis de biomasa
spellingShingle Evaluación termodinámica del proceso de pirólisis de biomasa
Pirólisis de biomasa
Análisis exergético local
Modelo cinético
Deconvolucion Asym2sig
Biomass pyrolysis
Local exergy analysis
Kinetic model
Asym2sig deconvolution.
title_short Evaluación termodinámica del proceso de pirólisis de biomasa
title_full Evaluación termodinámica del proceso de pirólisis de biomasa
title_fullStr Evaluación termodinámica del proceso de pirólisis de biomasa
title_full_unstemmed Evaluación termodinámica del proceso de pirólisis de biomasa
title_sort Evaluación termodinámica del proceso de pirólisis de biomasa
dc.creator.fl_str_mv Hernández Contreras, Luis Fernando
dc.contributor.advisor.none.fl_str_mv Rhenals julio, Jesus David
Gómez Vásquez, Rafael David
dc.contributor.author.none.fl_str_mv Hernández Contreras, Luis Fernando
dc.contributor.researcher.none.fl_str_mv HERNANDEZ CONTRERAS, LUIS FERNANDO
dc.contributor.jury.none.fl_str_mv Mendoza Fandiño, Jorge Mario
Bula, Antonio
dc.subject.proposal.spa.fl_str_mv Pirólisis de biomasa
Análisis exergético local
Modelo cinético
Deconvolucion Asym2sig
topic Pirólisis de biomasa
Análisis exergético local
Modelo cinético
Deconvolucion Asym2sig
Biomass pyrolysis
Local exergy analysis
Kinetic model
Asym2sig deconvolution.
dc.subject.keywords.eng.fl_str_mv Biomass pyrolysis
Local exergy analysis
Kinetic model
Asym2sig deconvolution.
description Esta investigación presenta la evaluación termodinámica y cinética del proceso de pirólisis de la tusa de maíz, una biomasa lignocelulósica de amplia disponibilidad. Se desarrolla y valida un modelo cinético capaz de predecir los rendimientos y la composición de los productos generados (sólidos, líquidos y gases) durante el proceso. La metodología se basó en análisis termogravimétricos (TGA) realizados a diferentes tasas de calentamiento (5, 10 y 30°C/min) para caracterizar la descomposición térmica de la biomasa. A partir de la deconvolución de la curva de la derivada termogravimétrica (DTG), se determinaron las proporciones de los componentes principales: hemicelulosa, celulosa y lignina. Con esta información, se estimaron los parámetros cinéticos, como la energía de activación y el factor preexponencial, utilizando el método de Coats-Redfern. Estos parámetros fundamentales se implementaron en un software de simulación para modelar la distribución de productos a diversas temperaturas. Los resultados simulados mostraron una excelente concordancia con datos experimentales reportados en la literatura, con errores absolutos mayormente inferiores al 9%. Además, se realizó un análisis exergético local para evaluar la eficiencia y el potencial termodinámico a lo largo del proceso de conversión. Se concluye que la metodología desarrollada es una herramienta robusta y precisa para la predicción de los productos de la pirólisis. Este modelo representa un aporte significativo para el diseño y la optimización de procesos sostenibles orientados a la valorización de residuos agrícolas, facilitando la obtención de biocombustibles y productos químicos de valor añadido.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-07-23T14:20:01Z
dc.date.available.none.fl_str_mv 2025-07-23T14:20:01Z
dc.date.issued.none.fl_str_mv 2025-07-22
dc.type.none.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.none.fl_str_mv Text
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status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unicordoba.edu.co/handle/ucordoba/9462
dc.identifier.instname.none.fl_str_mv Universidad de Córdoba
dc.identifier.reponame.none.fl_str_mv Repositorio Universidad de Córdoba
dc.identifier.repourl.none.fl_str_mv https://repositorio.unicordoba.edu.co
url https://repositorio.unicordoba.edu.co/handle/ucordoba/9462
https://repositorio.unicordoba.edu.co
identifier_str_mv Universidad de Córdoba
Repositorio Universidad de Córdoba
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.references.none.fl_str_mv Abdullah, N., Mohd Taib, R., Mohamad Aziz, N. S., Omar, M. R., & Md Disa, N. (2023). Banana pseudo-stem biochar derived from slow and fast pyrolysis process. Heliyon, 9(1), e12940. https://doi.org/10.1016/J.HELIYON.2023.E12940
Ajikashile, J. O., Alhnidi, M. J., Parku, G. K., Funke, A., & Kruse, A. (2023a). A study on the fast pyrolysis of millet and sorghum straws sourced from arid and semi-arid regions of Nigeria in a twin-screw mixing reactor. Materials Science for Energy Technologies, 6, 388–398. https://doi.org/10.1016/J.MSET.2023.03.007
Ajikashile, J. O., Alhnidi, M. J., Parku, G. K., Funke, A., & Kruse, A. (2023b). A study on the fast pyrolysis of millet and sorghum straws sourced from arid and semi-arid regions of Nigeria in a twin-screw mixing reactor. Materials Science for Energy Technologies, 6, 388–398. https://doi.org/10.1016/J.MSET.2023.03.007
Aydin, E. S., Yucel, O., & Sadikoglu, H. (2017). Development of a semi-empirical equilibrium model for downdraft gasification systems. Energy, 130, 86–98. https://doi.org/10.1016/J.ENERGY.2017.04.132
Basu, P. (2010a). Biomass Characteristics. In Biomass Gasification Design Handbook (pp. 27–63). Elsevier. https://doi.org/10.1016/b978-0-12-374988-8.00002-7
Basu, P. (2010b). Pyrolysis and Torrefaction. In Biomass Gasification Design Handbook (pp. 65–96). Elsevier. https://doi.org/10.1016/b978-0-12-374988-8.00003-9
Basu, P., & Kaushal, P. (2024). Biomass characteristics. In Biomass Gasification, Pyrolysis, and Torrefaction (pp. 63–105). Elsevier. https://doi.org/10.1016/b978-0-443-13784-6.00009-3
Bongomin, O., Nzila, C., Igadwa Mwasiagi, J., & Maube, O. (2024). Comprehensive thermal properties, kinetic, and thermodynamic analyses of biomass wastes pyrolysis via TGA and Coats-Redfern methodologies. Energy Conversion and Management: X, 24. https://doi.org/10.1016/j.ecmx.2024.100723
Chen, C., Miao, W., Zhou, C., & Wu, H. (2017). Thermogravimetric pyrolysis kinetics of bamboo waste via Asymmetric Double Sigmoidal (Asym2sig) function deconvolution. Bioresource Technology, 225, 48–57. https://doi.org/10.1016/j.biortech.2016.11.013
Debevc, S., Weldekidan, H., Snowdon, M. R., Vivekanandhan, S., Wood, D. F., Misra, M., & Mohanty, A. K. (2022). Valorization of almond shell biomass to biocarbon materials: Influence of pyrolysis temperature on their physicochemical properties and electrical conductivity. Carbon Trends, 9, 100214. https://doi.org/10.1016/J.CARTRE.2022.100214
Garba, K., Mohammed, I. Y., Isa, Y. M., Abubakar, L. G., Abakr, Y. A., & Hameed, B. H. (2023). Pyrolysis of Canarium schweinfurthii hard-shell: Thermochemical characterisation and pyrolytic kinetics studies. Heliyon, 9(2), e13234. https://doi.org/10.1016/J.HELIYON.2023.E13234
Hosseinzaei, B., Hadianfard, M. J., Aghabarari, B., García-Rollán, M., Ruiz-Rosas, R., Rosas, J. M., Rodríguez-Mirasol, J., & Cordero, T. (2022). Pyrolysis of pistachio shell, orange peel and saffron petals for bioenergy production. Bioresource Technology Reports, 19, 101209. https://doi.org/10.1016/J.BITEB.2022.101209
Kim, H., Yu, S., Kim, M., & Ryu, C. (2022a). Progressive deconvolution of biomass thermogram to derive lignocellulosic composition and pyrolysis kinetics for parallel reaction model. Energy, 254. https://doi.org/10.1016/j.energy.2022.124446
Kim, H., Yu, S., Kim, M., & Ryu, C. (2022b). Progressive deconvolution of biomass thermogram to derive lignocellulosic composition and pyrolysis kinetics for parallel reaction model. Energy, 254. https://doi.org/10.1016/j.energy.2022.124446
Korpeh, M., Lotfollahi, A., Moghimi, M., & Anvari-Moghaddam, A. (2025). Combustion optimization of various biomass types to hydrogen-rich syngas: Two-stage pyrolysis modeling, methane addition effects, and environmental impact assessment. International Journal of Hydrogen Energy, 133, 458–471. https://doi.org/10.1016/J.IJHYDENE.2025.04.490
Liu, L., Xu, G., Wang, J., Li, G., He, C., & Jiao, Y. (2025). Co-pyrolysis of biomass and plastic waste based on ReaxFF MD: Insights into hydrogen migration, radicals interactions and synergistic mechanism. Energy, 325, 136103. https://doi.org/10.1016/J.ENERGY.2025.136103
Manals-Cutiño, E., Penedo-Medina, M., & Giralt-Ortega, G. (n.d.). ANÁLISIS TERMOGRAVIMETRICO Y TÉRMICO DIFERENCIAL DE DIFERENTES BIOMASAS VEGETALES THERMOGRAVIMETRIC AND THERMAL ANALYSIS DIFFERENTIAL DIFFERENT VEGETABLE BIOMASSES.
Mansoor, K., Suraj, P., Arun, P., & Muraleedharan, C. (2025). Unlocking the potential of corn husk through pyrolysis and gasification: Characterization, kinetics, and agglomeration analysis. Biomass and Bioenergy, 195, 107701. https://doi.org/10.1016/J.BIOMBIOE.2025.107701
Oyeleke, O. R., Hu, Y., & Naterer, G. F. (2025). Effects of potassium salt on cellulose pyrolysis: biochar production, kinetic triplet, and thermodynamic properties. Chemical Engineering Science, 313, 121787. https://doi.org/10.1016/J.CES.2025.121787
Ranzi, E., Cuoci, A., Faravelli, T., Frassoldati, A., Migliavacca, G., Pierucci, S., & Sommariva, S. (2008). Chemical kinetics of biomass pyrolysis. Energy and Fuels, 22(6), 4292–4300. https://doi.org/10.1021/ef800551t
Ranzi, E., Debiagi, P. E. A., & Frassoldati, A. (2017a). Mathematical Modeling of Fast Biomass Pyrolysis and Bio-Oil Formation. Note I: Kinetic Mechanism of Biomass Pyrolysis. ACS Sustainable Chemistry and Engineering, 5(4), 2867–2881. https://doi.org/10.1021/acssuschemeng.6b03096
Ranzi, E., Debiagi, P. E. A., & Frassoldati, A. (2017b). Mathematical Modeling of Fast Biomass Pyrolysis and Bio-Oil Formation. Note I: Kinetic Mechanism of Biomass Pyrolysis. ACS Sustainable Chemistry and Engineering, 5(4), 2867–2881. https://doi.org/10.1021/acssuschemeng.6b03096
Rocha, G. J. de M., Nascimento, V. M., Gonçalves, A. R., Silva, V. F. N., & Martín, C. (2015). Influence of mixed sugarcane bagasse samples evaluated by elemental and physical–chemical composition. Industrial Crops and Products, 64, 52–58. https://doi.org/10.1016/J.INDCROP.2014.11.003
Rout, T., Pradhan, D., Singh, R. K., & Kumari, N. (2016). Exhaustive study of products obtained from coconut shell pyrolysis. Journal of Environmental Chemical Engineering, 4(3), 3696–3705. https://doi.org/10.1016/J.JECE.2016.02.024
Temireyeva, A., Sarbassov, Y., & Shah, D. (2024). Process simulation of flax straw pyrolysis with kinetic reaction Model: Experimental validation and exergy analysis. Fuel, 367. https://doi.org/10.1016/j.fuel.2024.131494
Wang, L., Olsen, M. N. P., Moni, C., Dieguez-Alonso, A., de la Rosa, J. M., Stenrød, M., Liu, X., & Mao, L. (2022). Comparison of properties of biochar produced from different types of lignocellulosic biomass by slow pyrolysis at 600 °C. Applications in Energy and Combustion Science, 12, 100090. https://doi.org/10.1016/J.JAECS.2022.100090
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spelling Rhenals julio, Jesus DavidGómez Vásquez, Rafael DavidHernández Contreras, Luis FernandoHERNANDEZ CONTRERAS, LUIS FERNANDOMendoza Fandiño, Jorge MarioBula, Antonio2025-07-23T14:20:01Z2025-07-23T14:20:01Z2025-07-22https://repositorio.unicordoba.edu.co/handle/ucordoba/9462Universidad de CórdobaRepositorio Universidad de Córdobahttps://repositorio.unicordoba.edu.coEsta investigación presenta la evaluación termodinámica y cinética del proceso de pirólisis de la tusa de maíz, una biomasa lignocelulósica de amplia disponibilidad. Se desarrolla y valida un modelo cinético capaz de predecir los rendimientos y la composición de los productos generados (sólidos, líquidos y gases) durante el proceso. La metodología se basó en análisis termogravimétricos (TGA) realizados a diferentes tasas de calentamiento (5, 10 y 30°C/min) para caracterizar la descomposición térmica de la biomasa. A partir de la deconvolución de la curva de la derivada termogravimétrica (DTG), se determinaron las proporciones de los componentes principales: hemicelulosa, celulosa y lignina. Con esta información, se estimaron los parámetros cinéticos, como la energía de activación y el factor preexponencial, utilizando el método de Coats-Redfern. Estos parámetros fundamentales se implementaron en un software de simulación para modelar la distribución de productos a diversas temperaturas. Los resultados simulados mostraron una excelente concordancia con datos experimentales reportados en la literatura, con errores absolutos mayormente inferiores al 9%. Además, se realizó un análisis exergético local para evaluar la eficiencia y el potencial termodinámico a lo largo del proceso de conversión. Se concluye que la metodología desarrollada es una herramienta robusta y precisa para la predicción de los productos de la pirólisis. Este modelo representa un aporte significativo para el diseño y la optimización de procesos sostenibles orientados a la valorización de residuos agrícolas, facilitando la obtención de biocombustibles y productos químicos de valor añadido.This research presents the thermodynamic and kinetic evaluation of the pyrolysis process of corn cob, a widely available lignocellulosic biomass. A kinetic model is developed and validated to predict the yields and composition of the generated products (solids, liquids, and gases).The methodology was based on thermogravimetric analysis (TGA) conducted at various heating rates (5, 10, and 30°C/min) to characterize the thermal decomposition of the biomass. Through the deconvolution of the derivative thermogravimetric (DTG) curve, the proportions of the main components—hemicellulose, cellulose, and lignin—were determined. Based on this information, kinetic parameters, such as activation energy and the pre-exponential factor, were estimated using the Coats-Redfern method. These fundamental parameters were implemented in simulation software to model the product distribution at various temperatures. The simulated results showed strong agreement with experimental data reported in the literature, with absolute errors predominantly below 9%. Furthermore, a local exergy analysis was performed to assess the efficiency and thermodynamic potential throughout the conversion process. In conclusion, the developed methodology constitutes a robust and accurate tool for the prediction of pyrolysis products. This model represents a significant contribution to the design and optimization of sustainable processes for the valorization of agricultural residues, facilitating the procurement of biofuels and value-added chemicals.LISTA DE TABLAS 9LISTA DE FIGURAS 10RESUMEN 12ABSTRACT 131. INTRODUCCIÓN 142. REVISIÓN DE LITERATURA 162.1 Biomasa Lignocelulósica 162.2 Caracterización de la Biomasa 172.3 Pirolisis de Biomasa lignocelulósica 182.4 Modelos cinéticos de pirolisis de biomasa 223. OBJETIVOS 25Objetivo general 25Objetivos Específicos 254. MATERIALES Y MÉTODOS 26Objetivo 1. Definir los parámetros cinéticos de cada uno de los compuestos presentes en las reacciones del proceso. 26Objetivo 2. Modelar el proceso de pirolisis de biomasa empleando un reactor cinético y las reacciones de transformación lignocelulósica. 30Objetivo 3. Realizar un análisis exergético local del proceso de pirolisis de biomasa 335. RESULTADOS Y DISCUSIONES 36Objetivo 1. Definir los parámetros cinéticos de cada uno de los compuestos presentes en las reacciones del proceso. 36Objetivo 2. Modelar el proceso de pirolisis de biomasa empleando un reactor cinético y las reacciones de transformación lignocelulósica. 39Objetivo 3. Realizar un análisis exergético local del proceso de pirolisis de biomasa 496. CONCLUSIONES 507. RECOMENDACIONES: 528. REFERENCIAS BIBLIOGRÁFICAS 53MaestríaMagíster en Ingeniería MecánicaTrabajos de Investigación y/o Extensiónapplication/pdfspaUniversidad de CórdobaFacultad de IngenieríaMontería, Córdoba, ColombiaMaestría en Ingeniería MecánicaCopyright Universidad de Córdoba, 2025https://creativecommons.org/licenses/by-nc-nd/4.0/Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Evaluación termodinámica del proceso de pirólisis de biomasaTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAbdullah, N., Mohd Taib, R., Mohamad Aziz, N. S., Omar, M. R., & Md Disa, N. (2023). Banana pseudo-stem biochar derived from slow and fast pyrolysis process. Heliyon, 9(1), e12940. https://doi.org/10.1016/J.HELIYON.2023.E12940Ajikashile, J. O., Alhnidi, M. J., Parku, G. K., Funke, A., & Kruse, A. (2023a). A study on the fast pyrolysis of millet and sorghum straws sourced from arid and semi-arid regions of Nigeria in a twin-screw mixing reactor. Materials Science for Energy Technologies, 6, 388–398. https://doi.org/10.1016/J.MSET.2023.03.007Ajikashile, J. O., Alhnidi, M. J., Parku, G. K., Funke, A., & Kruse, A. (2023b). A study on the fast pyrolysis of millet and sorghum straws sourced from arid and semi-arid regions of Nigeria in a twin-screw mixing reactor. Materials Science for Energy Technologies, 6, 388–398. https://doi.org/10.1016/J.MSET.2023.03.007Aydin, E. S., Yucel, O., & Sadikoglu, H. (2017). Development of a semi-empirical equilibrium model for downdraft gasification systems. Energy, 130, 86–98. https://doi.org/10.1016/J.ENERGY.2017.04.132Basu, P. (2010a). Biomass Characteristics. In Biomass Gasification Design Handbook (pp. 27–63). Elsevier. https://doi.org/10.1016/b978-0-12-374988-8.00002-7Basu, P. (2010b). Pyrolysis and Torrefaction. In Biomass Gasification Design Handbook (pp. 65–96). Elsevier. https://doi.org/10.1016/b978-0-12-374988-8.00003-9Basu, P., & Kaushal, P. (2024). Biomass characteristics. In Biomass Gasification, Pyrolysis, and Torrefaction (pp. 63–105). Elsevier. https://doi.org/10.1016/b978-0-443-13784-6.00009-3Bongomin, O., Nzila, C., Igadwa Mwasiagi, J., & Maube, O. (2024). Comprehensive thermal properties, kinetic, and thermodynamic analyses of biomass wastes pyrolysis via TGA and Coats-Redfern methodologies. Energy Conversion and Management: X, 24. https://doi.org/10.1016/j.ecmx.2024.100723Chen, C., Miao, W., Zhou, C., & Wu, H. (2017). Thermogravimetric pyrolysis kinetics of bamboo waste via Asymmetric Double Sigmoidal (Asym2sig) function deconvolution. Bioresource Technology, 225, 48–57. https://doi.org/10.1016/j.biortech.2016.11.013Debevc, S., Weldekidan, H., Snowdon, M. R., Vivekanandhan, S., Wood, D. F., Misra, M., & Mohanty, A. K. (2022). Valorization of almond shell biomass to biocarbon materials: Influence of pyrolysis temperature on their physicochemical properties and electrical conductivity. Carbon Trends, 9, 100214. https://doi.org/10.1016/J.CARTRE.2022.100214Garba, K., Mohammed, I. Y., Isa, Y. M., Abubakar, L. G., Abakr, Y. A., & Hameed, B. H. (2023). Pyrolysis of Canarium schweinfurthii hard-shell: Thermochemical characterisation and pyrolytic kinetics studies. Heliyon, 9(2), e13234. https://doi.org/10.1016/J.HELIYON.2023.E13234Hosseinzaei, B., Hadianfard, M. J., Aghabarari, B., García-Rollán, M., Ruiz-Rosas, R., Rosas, J. M., Rodríguez-Mirasol, J., & Cordero, T. (2022). Pyrolysis of pistachio shell, orange peel and saffron petals for bioenergy production. Bioresource Technology Reports, 19, 101209. https://doi.org/10.1016/J.BITEB.2022.101209Kim, H., Yu, S., Kim, M., & Ryu, C. (2022a). 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Applications in Energy and Combustion Science, 12, 100090. https://doi.org/10.1016/J.JAECS.2022.100090Pirólisis de biomasaAnálisis exergético localModelo cinéticoDeconvolucion Asym2sigBiomass pyrolysisLocal exergy analysisKinetic modelAsym2sig deconvolution.PublicationLICENSElicense.txtlicense.txttext/plain; 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