Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement

1 recurso en línea (páginas 39-49).

Bibliographic Details
Main Authors: Cely Niño, Víctor Hugo, Cifuentes Aya, Héctor, Torre Marín, Gemma Cervantes
Format: Artículo de revista
Language:eng
Published: Universidad Pedagógica y Tecnológica de Colombia 2018
Subjects:
Online Access:http://repositorio.uptc.edu.co/handle/001/2166
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author Cely Niño, Víctor Hugo
Cifuentes Aya, Héctor
Torre Marín, Gemma Cervantes
author_facet Cely Niño, Víctor Hugo
Cifuentes Aya, Héctor
Torre Marín, Gemma Cervantes
author_sort Cely Niño, Víctor Hugo
collection DSpace
description 1 recurso en línea (páginas 39-49).
format Artículo de revista
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institution Repositorio Institucional UPTC
language eng
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spelling repositorio.uptc.edu.co-001-21662021-02-10T18:57:00Z Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement Eficiencia racional en un proceso agroindustrial con cadena de frío : medición termodinámica y exergoeconómica Eficiência racional em um processo agroindustrial com corrente de frio : medição termodinâmica e exergoeconômica Cely Niño, Víctor Hugo Cifuentes Aya, Héctor Torre Marín, Gemma Cervantes Cold storage Cold chain Hidden costs Productivity efficiency Thermal irreversibility 1 recurso en línea (páginas 39-49). The cold chain is the succession of links such as pre-cooling, refrigeration, freezing, and refrigerated transport. The physical variables of the heat transfer process are temperature control, relative humidity, dew point, and cooling surface. This paper aims at highlighting the use of thermodynamic tools such as exergy, anergy and entropy to measure rational efficiency in the different equipment and flows of a thermal process, through a transversal methodology that quantifies efficiencies in a relative, absolute, and comparative way. This study focused on the production structure of the agro-industrial cold chain by steam compression (refrigerant R404A), for the meat processing in channel, in the “Rastro Frigorífico Servicios Integrales del Bajío-TIF 333” in the city of Leon-Guanajuato, central region of Mexico. The results from the literature allowed to classify the critical points of greater exergy destruction, and the unproductive teams responsible for inefficiencies and residues production, which impact the hidden cost structure of the process, and affect negatively the process sustainability. This work integrates the thermoeconomic and productivity concepts that direct the nonlinear learning of thermodynamic science, relevant in the formation of an engineer. A corrente de frio é uma sucessão de elos, como pré-resfriamento, refrigeração, congelação e transporte refrigerado. As variáveis físicas do processo de transferência de calor são: temperatura, humidade relativa, ponto de condensação e superfície de refrigeração. O propósito do artigo é visibilizar o uso de ferramentas termodinâmicas, como exergia, anergia e entropia, para medir a eficiência racional nos diferentes equipamentos e fluxos de um processo térmico, mediante uma metodologia transversal para quantificar as eficiências em forma relativa, comparada e absoluta. Partiu-se de uma estrutura produtiva de corrente de frio agroindustrial por compressão de vapor (com refrigerante R404A), para o processamento de carne em carcaça, no “Rastro Frigorífico Servicios Integrales del Bajío-TIF 333”, na cidade de León-Guanajuato, centro do México. Os resultados obtidos e contrastados permitem classificar os pontos críticos de maior destruição de exergia e os equipamentos improdutivos responsáveis de ineficiências e produção de resíduos, com incidência na estrutura de custos ocultos do processo e impacto negativo sobre a sustentabilidade do processo. Este trabalho integra conceitos como termoeconomia e produtividade, que direcionam a aprendizagem não lineal da ciência termodinâmica, relevante na formação do engenheiro. La cadena de frío es una sucesión de eslabones, como preenfriamiento, refrigeración, congelación y transporte refrigerado. Las variables físicas del proceso de transferencia de calor son: temperatura, humedad relativa, punto de rocío y superficie de refrigeración. El propósito del artículo es visibilizar el uso de herramientas termodinámicas, como exergía, anergía y entropía, para medir la eficiencia racional en los diferentes equipos y flujos de un proceso térmico, mediante una metodología transversal para cuantificar las eficiencias en forma relativa, comparada y absoluta. Se partió de una estructura productiva de cadena de frío agroindustrial por compresión de vapor (con refrigerante R404A), para el procesamiento de carne en canal, en el “Rastro Frigorífico Servicios Integrales del Bajío-TIF 333”, en la ciudad de León-Guanajuato, centro de México. Los resultados obtenidos y contrastados permiten clasificar los puntos críticos de mayor destrucción de exergía y los equipos improductivos responsables de ineficiencias y producción de residuos, con incidencia en la estructura de costos ocultos del proceso e impacto negativo sobre la sostenibilidad del proceso. Este trabajo integra conceptos como termoeconomía y productividad, que direccionan el aprendizaje no lineal de la ciencia termodinámica, relevante en la formación del ingeniero. Bibliografía: página 49. 2018-09-10T15:38:14Z 2018-09-10T15:38:14Z 2018-01-15 Artículo de revista http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Text https://purl.org/redcol/resource_type/ART http://purl.org/coar/version/c_970fb48d4fbd8a85 Cely Niño, V. H., Cifuentes Aya, H. & Torre Marín, G. C. (2018). Rational efficiency in agro-industrial process with cold chain: Thermodynamic and exergoeconomic measurement. Revista Facultad de Ingeniería, 27 (47), 39-49. https://doi.org/10.19053/01211129.v27.n47.2018.7750. http://repositorio.uptc.edu.co/handle/001/2166 http://repositorio.uptc.edu.co/handle/001/2166 10.19053/01211129.v27.n47.2018.7750 eng Y. Cengel, and M. Boles. Termodinámica. 7nd ed. México DF: Mc Graw-Hill, 2012. V.H. Cely, “Medición de la productividad en procesos que integren cadena de frío, basada en evaluaciones de exergoeconomía y ecoeficiencia,” Ph.D. dissertation, Universidad Nacional de Colombia, Bogotá, D.C., 2017. A. Valero, and C. Torres, “Thermoeconomic Analysis,” in Exergy, Energy System Analysis and Optimization, Vol II. C.A. Frangopoulos Ed. Oxford: Eolss Publishers Co., chapter 1, pp.1-35, 2009. S. Kelly, “Energy system improvements based on endogenous and exogenous exergy destruction,” Ph.D. dissertation, Technische Universitat Institute for Energy Engineering Germany, Berlin, 2008. I. Dincer, and M. Rosen, Exergy, Energy, Environment and Sustainable Development. Ontario, Canada: Elsevier Publication Books, 2007. J. Dewulf, et al. “Critical Review. Exergy: Its Potential and Limitations in Environmental Science and Technology,” Environmental Science & Technology, vol. 42 (7), pp. 2221-2232, Apr. 2008. DOI: http://doi.org/10.1021/es071719a. M. Suresh, K. Reddy, and A. Kolar A. “4-E: Energy, Exergy, Environment, and Economic, analysis of solar thermal aided coal-fired power plants,” Energy for Sustainable Development, vol. 14 (4), pp. 267- 279, Dec. 2010. DOI: http://doi.org/10.1016/j. esd.2010.09.002. K. Manesh, et al., “Exergoeconomic and exergoenvironmental evaluation of the coupling of a gas fired steam power plant with a total site utility system,” Energy Conversion and Management, vol. 77, pp. 469-483, Jan. 2014. DOI: http://doi. org/10.1016/j.enconman.2013.09.053. W. Kaminsky, “Refrigeration and the World Food Industry,” Logistec, vol. 45, pp. 13-17, May. 2012. S. Kalaiselvam, and R. Saravan. “Exergy Analysis of scroll compressors working with R22, R407C, and R417A as refrigerant for HVAC system,” Thermal Science, vol.13 (1), pp. 175-184, Jan. 2009. DOI: http://doi.org/10.2298/TSCI0901175K. D. Yu D, H. Van Paassen, and R. Siamak, “General modeling for model based FDD on building HVAC system,” Simulation Practice and Theory, vol. 9 (6-8), pp. 387-397, May. 2002. DOI: http://doi. org/10.1016/S1569-190X(02)00062-X. R. Yin, Case Study Research Design & Methods, 5nd. ed. Thousand Oaks, USA: Sage; 2014. J. Ahamed, R. Saidur, and H. Masjuki, “A review on exergy analysis of vapor compression refrigeration system,” Renewable and Sustainable Energy Reviews, vol. 15 (3), pp. 1593-1600, Apr. 2011. DOI: http://doi.org/10.1016/j.rser.2010.11.039. Ö. Kizilkan, A. Kabul and A. Yakut. “Exergetic performance assessment of a variable speed R404A refrigeration system,” International Journal of Energy Research, vol. 34 (6), pp. 463-475, May. 2010. DOI: http://doi.org/10.1002/er.1553. Revista Facultad de Ingeniería;Volumen 27, número 47 (Enero-Abril 2018) Copyright (c) 2018 Universidad Pedagógica y Tecnológica de Colombia https://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) http://purl.org/coar/access_right/c_abf2 application/pdf application/pdf Universidad Pedagógica y Tecnológica de Colombia https://revistas.uptc.edu.co/index.php/ingenieria/article/view/7750/6140
spellingShingle Cold storage
Cold chain
Hidden costs
Productivity efficiency
Thermal irreversibility
Cely Niño, Víctor Hugo
Cifuentes Aya, Héctor
Torre Marín, Gemma Cervantes
Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement
title Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement
title_full Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement
title_fullStr Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement
title_full_unstemmed Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement
title_short Rational efficiency in agro-industrial process with cold chain : thermodynamic and exergoeconomic measurement
title_sort rational efficiency in agro industrial process with cold chain thermodynamic and exergoeconomic measurement
topic Cold storage
Cold chain
Hidden costs
Productivity efficiency
Thermal irreversibility
url http://repositorio.uptc.edu.co/handle/001/2166
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