A new energy performance indicator for energy management system of a wheat mill plant
In this paper, a predictive tool for the energy consumption of wheat milling process using multiple linear regression and a new energy performance indicator (EnPI) is proposed. This EnPI does not only consider the production of flour but also the particle size of flour and added water for softening...
- Autores:
-
Sarduy Gómez, Julio R.
Felipe Viego, Percy R.
Torres Díaz, Yamile
Plascencia Álvarez Guerra, Mario A.
Sousa, Vladimir
Haeseldonckx, Dries
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/3317
- Acceso en línea:
- https://hdl.handle.net/11323/3317
https://repositorio.cuc.edu.co/
- Palabra clave:
- Energy efficiency
Energy performance indicators
Wheat milling
Eficiencia energética
Indicadores de eficiencia energética
Molienda de trigo
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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| dc.title.spa.fl_str_mv |
A new energy performance indicator for energy management system of a wheat mill plant |
| dc.title.translated.spa.fl_str_mv |
Un nuevo indicador de rendimiento energético para el sistema de gestión de energía de una planta de molino de trigo. |
| title |
A new energy performance indicator for energy management system of a wheat mill plant |
| spellingShingle |
A new energy performance indicator for energy management system of a wheat mill plant Energy efficiency Energy performance indicators Wheat milling Eficiencia energética Indicadores de eficiencia energética Molienda de trigo |
| title_short |
A new energy performance indicator for energy management system of a wheat mill plant |
| title_full |
A new energy performance indicator for energy management system of a wheat mill plant |
| title_fullStr |
A new energy performance indicator for energy management system of a wheat mill plant |
| title_full_unstemmed |
A new energy performance indicator for energy management system of a wheat mill plant |
| title_sort |
A new energy performance indicator for energy management system of a wheat mill plant |
| dc.creator.fl_str_mv |
Sarduy Gómez, Julio R. Felipe Viego, Percy R. Torres Díaz, Yamile Plascencia Álvarez Guerra, Mario A. Sousa, Vladimir Haeseldonckx, Dries |
| dc.contributor.author.spa.fl_str_mv |
Sarduy Gómez, Julio R. Felipe Viego, Percy R. Torres Díaz, Yamile Plascencia Álvarez Guerra, Mario A. Sousa, Vladimir Haeseldonckx, Dries |
| dc.subject.spa.fl_str_mv |
Energy efficiency Energy performance indicators Wheat milling Eficiencia energética Indicadores de eficiencia energética Molienda de trigo |
| topic |
Energy efficiency Energy performance indicators Wheat milling Eficiencia energética Indicadores de eficiencia energética Molienda de trigo |
| description |
In this paper, a predictive tool for the energy consumption of wheat milling process using multiple linear regression and a new energy performance indicator (EnPI) is proposed. This EnPI does not only consider the production of flour but also the particle size of flour and added water for softening wheat. The results of the study, carried out in a wheat mill plant in Cuba, show a good coincidence between the predicted and real energy consumption for the developed model. It also demonstrates the effectiveness of EnPI proposed as a tool for management and energy savings in the company under study. Due to the complexity of the proposed model, for obtaining the baseline and estimating the energy saving potential, a probabilistic method was used. It was statistically demonstrated by the determination index (R2), that the new proposed model is superior to the conventional model of energy versus production. |
| publishDate |
2018 |
| dc.date.issued.none.fl_str_mv |
2018-03-24 |
| dc.date.accessioned.none.fl_str_mv |
2019-05-14T12:59:22Z |
| dc.date.available.none.fl_str_mv |
2019-05-14T12:59:22Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
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info:eu-repo/semantics/acceptedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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acceptedVersion |
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21464553 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/3317 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
21464553 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/3317 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.spa.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
| dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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info:eu-repo/semantics/openAccess |
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http://purl.org/coar/access_right/c_abf2 |
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Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.publisher.spa.fl_str_mv |
Universidad de la Costa |
| institution |
Corporación Universidad de la Costa |
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Sarduy Gómez, Julio R.Felipe Viego, Percy R.Torres Díaz, YamilePlascencia Álvarez Guerra, Mario A.Sousa, VladimirHaeseldonckx, Dries2019-05-14T12:59:22Z2019-05-14T12:59:22Z2018-03-2421464553https://hdl.handle.net/11323/3317Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In this paper, a predictive tool for the energy consumption of wheat milling process using multiple linear regression and a new energy performance indicator (EnPI) is proposed. This EnPI does not only consider the production of flour but also the particle size of flour and added water for softening wheat. The results of the study, carried out in a wheat mill plant in Cuba, show a good coincidence between the predicted and real energy consumption for the developed model. It also demonstrates the effectiveness of EnPI proposed as a tool for management and energy savings in the company under study. Due to the complexity of the proposed model, for obtaining the baseline and estimating the energy saving potential, a probabilistic method was used. It was statistically demonstrated by the determination index (R2), that the new proposed model is superior to the conventional model of energy versus production.En este documento, se propone una herramienta predictiva para el consumo de energía del proceso de molienda de trigo mediante regresión lineal múltiple y un nuevo indicador de rendimiento energético (EnPI). Este EnPI no solo considera la producción de harina sino también el tamaño de partícula de la harina y el agua agregada para ablandar el trigo. Los resultados del estudio, llevado a cabo en una planta de molino de trigo en Cuba, muestran una buena coincidencia entre el consumo de energía previsto y real para el modelo desarrollado. También demuestra la efectividad del EnPI propuesto como una herramienta para la gestión y el ahorro de energía en la empresa en estudio. Debido a la complejidad del modelo propuesto, para obtener la línea de base y estimar el potencial de ahorro de energía, se utilizó un método probabilístico. El índice de determinación (R2) demostró estadísticamente que el nuevo modelo propuesto es superior al modelo convencional de energía en comparación con la producción.Sarduy Gómez, Julio R.-57512fca-90ab-412b-b9a5-912bd5b5a612-0Felipe Viego, Percy R.-e32d0d7c-8b2b-4557-9ae1-6f97b1f8ddfc-0Torres Díaz, Yamile-3ad6b159-6b55-4be2-85b4-8ecff2c9309b-0Plascencia Álvarez Guerra, Mario A.-3eaff25c-01e4-4dad-9ad4-e7f2c5d5c555-0Sousa, Vladimir-eb7c211f-b2e1-4421-94a4-8348a3d37d71-0Haeseldonckx, Dries-23f1a782-8477-498f-b1ae-49883b2237ee-0engUniversidad de la CostaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Energy efficiencyEnergy performance indicatorsWheat millingEficiencia energéticaIndicadores de eficiencia energéticaMolienda de trigoA new energy performance indicator for energy management system of a wheat mill plantUn nuevo indicador de rendimiento energético para el sistema de gestión de energía de una planta de molino de trigo.Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALA NEW ENERGY PERFORMANCE INDICATOR FOR ENERGY MANAGEMENT SYSTEM OF A WHEAT MILL PLANT.pdfA NEW ENERGY PERFORMANCE INDICATOR FOR ENERGY MANAGEMENT SYSTEM OF A WHEAT MILL PLANT.pdfapplication/pdf6486https://repositorio.cuc.edu.co/bitstreams/22e24c8a-86a5-49d3-b948-dbc267adf799/download28804583c391016baa12c3b2cddfac5cMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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