Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant
Descripción del Articulo
The production of fishmeal and fish oil is essential in the food industry, but it involves high energy consumption and significant thermal losses. This paper presents the development of Python software for the energy and exergy analysis of a fishmeal and fish oil plant. Through computational simulat...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2025 |
Institución: | Universidad de San Martín de Porres |
Repositorio: | Revistas - Universidad de San Martín de Porres |
Lenguaje: | español |
OAI Identifier: | oai:revistas.usmp.edu.pe:article/3077 |
Enlace del recurso: | https://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3077 |
Nivel de acceso: | acceso abierto |
Materia: | Energy analysis, exergy analysis, Python software, fishmeal and fish oil plant, energy efficiency Análisis energético, análisis exergético, software en Python, planta de harina y aceite de pescado, eficiencia energética |
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Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plantDesarrollo y aplicación de un software para el análisis energético de una planta de harina y aceite de pescadoZanabria Alan, Luis EnriqueValverde Padilla, GiancarloEnergy analysis, exergy analysis, Python software, fishmeal and fish oil plant, energy efficiencyAnálisis energético, análisis exergético, software en Python, planta de harina y aceite de pescado, eficiencia energéticaThe production of fishmeal and fish oil is essential in the food industry, but it involves high energy consumption and significant thermal losses. This paper presents the development of Python software for the energy and exergy analysis of a fishmeal and fish oil plant. Through computational simulations, the termal performance of key equipment such as boilers, stoves, dryers and tanks is evaluated. The results indicate that the model is accurate in most of the equipment, with differences of less than 2% in required heat and steam consumption, although discrepancies of 12.03% were identified in the rotadisk dryers, which require adjustments. The energy analysis highlights critical areas for improving energy efficiency. The software provides a comprehensive tool for industrial process optimization and is planned to be expanded with variable load simulations and thermoeconomic analysis to further improve efficiency and reduce operating costs.La producción de harina y aceite de pescado es fundamental en la industria alimentaria, pero conlleva un alto consumo energético y pérdidas térmicas significativas. Este trabajo presenta el desarrollo de un software en Python para el análisis energético y exergético de una planta de harina y aceite de pescado. A través de simulaciones computacionales, se evalúa el rendimiento térmico de equipos clave como calderas, cocinas, secadores y tanques. Los resultados indican que el modelo es preciso en la mayoría de los equipos, con diferencias menores al 2% en calor requerido y consumo de vapor, aunque se identificaron discrepancias del 12.03% en los secadores rotadiscos, lo que requiere ajustes. El análisis exergético destaca áreas críticas para mejorar la eficiencia energética. El software proporciona una herramienta integral para la optimización de procesos industriales, y se planea expandir con simulaciones de carga variable y análisis termoeconómico para mejorar aún más la eficiencia y reducir los costos operativos.Universidad de San Martín de Porres2025-02-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3077Campus; Vol. 29 No. 38 (2024): Campus XXXVIIICampus; Vol. 29 Núm. 38 (2024): Campus XXXVIIICampus; v. 29 n. 38 (2024): Campus XXXVIII2523-18201812-6049reponame:Revistas - Universidad de San Martín de Porresinstname:Universidad de San Martín de Porresinstacron:USMPspahttps://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3077/3869Derechos de autor 2025 Luis Enrique Zanabria Alan, Giancarlo Valverde Padillahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:revistas.usmp.edu.pe:article/30772025-02-07T15:13:41Z |
dc.title.none.fl_str_mv |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant Desarrollo y aplicación de un software para el análisis energético de una planta de harina y aceite de pescado |
title |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant |
spellingShingle |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant Zanabria Alan, Luis Enrique Energy analysis, exergy analysis, Python software, fishmeal and fish oil plant, energy efficiency Análisis energético, análisis exergético, software en Python, planta de harina y aceite de pescado, eficiencia energética |
title_short |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant |
title_full |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant |
title_fullStr |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant |
title_full_unstemmed |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant |
title_sort |
Development and application of a software for the energy and exergetic analysis of a fishmeal and fish oil plant |
dc.creator.none.fl_str_mv |
Zanabria Alan, Luis Enrique Valverde Padilla, Giancarlo |
author |
Zanabria Alan, Luis Enrique |
author_facet |
Zanabria Alan, Luis Enrique Valverde Padilla, Giancarlo |
author_role |
author |
author2 |
Valverde Padilla, Giancarlo |
author2_role |
author |
dc.subject.none.fl_str_mv |
Energy analysis, exergy analysis, Python software, fishmeal and fish oil plant, energy efficiency Análisis energético, análisis exergético, software en Python, planta de harina y aceite de pescado, eficiencia energética |
topic |
Energy analysis, exergy analysis, Python software, fishmeal and fish oil plant, energy efficiency Análisis energético, análisis exergético, software en Python, planta de harina y aceite de pescado, eficiencia energética |
description |
The production of fishmeal and fish oil is essential in the food industry, but it involves high energy consumption and significant thermal losses. This paper presents the development of Python software for the energy and exergy analysis of a fishmeal and fish oil plant. Through computational simulations, the termal performance of key equipment such as boilers, stoves, dryers and tanks is evaluated. The results indicate that the model is accurate in most of the equipment, with differences of less than 2% in required heat and steam consumption, although discrepancies of 12.03% were identified in the rotadisk dryers, which require adjustments. The energy analysis highlights critical areas for improving energy efficiency. The software provides a comprehensive tool for industrial process optimization and is planned to be expanded with variable load simulations and thermoeconomic analysis to further improve efficiency and reduce operating costs. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-02-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3077 |
url |
https://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3077 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3077/3869 |
dc.rights.none.fl_str_mv |
Derechos de autor 2025 Luis Enrique Zanabria Alan, Giancarlo Valverde Padilla https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2025 Luis Enrique Zanabria Alan, Giancarlo Valverde Padilla https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad de San Martín de Porres |
publisher.none.fl_str_mv |
Universidad de San Martín de Porres |
dc.source.none.fl_str_mv |
Campus; Vol. 29 No. 38 (2024): Campus XXXVIII Campus; Vol. 29 Núm. 38 (2024): Campus XXXVIII Campus; v. 29 n. 38 (2024): Campus XXXVIII 2523-1820 1812-6049 reponame:Revistas - Universidad de San Martín de Porres instname:Universidad de San Martín de Porres instacron:USMP |
instname_str |
Universidad de San Martín de Porres |
instacron_str |
USMP |
institution |
USMP |
reponame_str |
Revistas - Universidad de San Martín de Porres |
collection |
Revistas - Universidad de San Martín de Porres |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
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12.653693 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).