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...

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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:11323/4686
Acceso en línea:
https://hdl.handle.net/11323/4686
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
id RCUC2_e98ecbacb999393d494899cc27f4841b
oai_identifier_str oai:repositorio.cuc.edu.co:11323/4686
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
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 energética 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 2019-05-22T13:45:46Z
dc.date.available.none.fl_str_mv 2019-05-22T13:45:46Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv 21464553
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dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
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identifier_str_mv 21464553
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REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/4686
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dc.language.iso.none.fl_str_mv eng
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dc.relation.references.spa.fl_str_mv Aiyedun, O.P., Adeyemi, A.O. (2008), Energy efficiency of a manufacturing industry: A case study of Nigeria eagle flour mills limited, Ibadan. ASSET. An International Journal (Series B), 7(2), 91-103. Balci, F. (2017), Energy Management in Flour Plants. Available from: http://www.millermagazine.com. Bogoviz, A.V., Lobova, S.V., Ragulina, Y.V., Alekseev, A.N. (2018), A critical review of Russia’s energy efficiency policies in agriculture. International Journal of Energy Economics and Policy, 8(3), 67-75. Dhotel, C.L. (2012), Damaged Starch in the Flour Mill: How to Reduce the Electricity Bill. Doctoral Dissertation, Kansas State University. Available from: http://www.krex.k-state.edu/dspace/bitstream/ handle/2097/13684/CharlesLoubersac2012.pdf;sequence=3. Steerneman, M. (2013), Energy Saving. Energy Experts International B.V. Available from: http://www.flourmillers.eu. Doblado-Maldonado, A.F., Pike, O.A., Sweley, J.C., Rose, D.J. (2012), Key issues and challenges in whole wheat flour milling and storage. Journal of Cereal Science, 56(2), 119-126. Dróźdż, B. (2010), Effectiveness of electrical energy consumption in milling plant. Annals of Warsaw University of Life Sciences-SGGW. Agriculture, 56, 57-65. El-Porai, E.S., Salama, A.E., Sharaf, A.M., Hegazy, A.I., Gadallah, M.G.E. (2013), Effect of different milling processes on Egyptian wheat flour properties and pan bread quality. Annals of Agricultural Sciences, 58(1), 51-59. Eras, J.J.C., Santos, V.S., Gutiérrez, A.S., Plasencia, M.Á.G., Haeseldonckx, D., Vandecasteele, C. (2016), Tools to improve forecasting and control of the electricity consumption in hotels. Journal of cleaner production, 137, 803-812. Fang, Q., Haque, E., Spillman, C.K., Steele, P.R.J. (1998), Energy requirements for size reduction of wheat using a roller mill. Transactions of the ASAE, 41(6), 1713-1720. Fišteš, A.Z. (2015), Comparative analysis of milling results on the tail-end reduction passages of the wheat flour milling process: Conventional versus eight-roller milling system. Hemijska Industrija, 69(4), 395-403. Introna, V., Cesarotti, V., Benedetti, M., Biagiotti, S., Rotunno, R. (2014), Energy management maturity model: An organizational tool to foster the continuous reduction of energy consumption in companies. Journal of Cleaner Production, 83, 108-117. ISO, International Standard ISO 50001. (2011), Energy Management Systems-Requirements with Guidance for Use. ISO, International Standard ISO 50006 standard. (2014), Energy Management Systems-Measuring Energy Performance using Energy Baselines (Enb) and Energy Performance Indicators (Enpi)-General Principles And Guidance. Madrigal, J.A., Eras, J.J.C., Herrera, H.H., Santos, V.S., Morejón, M.B. (2018), Planificación energética para el ahorro de fueloil en una lavandería industrial. Ingeniare. Revista Chilena de Ingeniería, 26(1), 86-96. Nabavi-Pelesaraei, A., Hosseinzadeh-Bandbafha, H., QasemiKordkheili, P., Kouchaki-Penchah, H., Riahi-Dorcheh, F. (2016), Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production. Energy, 103, 672-678. Okonigene, R.E., Omondaigbe, C. (2009), Electrical energy consumption pattern of flour mill in Nigeria. The Pacific Journal of Science and Technology, 10(2), 514-519. Olaoye, O.S., Adefajo, A.A., Ekindayo, S.O. (2014), Energy analysis of wheat processing plant in Nigeria. ARPN Journal of Engineering and Applied Science, 9(9), 1586-1591. Pehlken, A., Decker, A., Kottowski, C., Kirchner, A., Thoben, K.D. (2015), Energy efficiency in processing of natural raw materials under consideration of uncertainties. Journal of Cleaner Production, 106, 351-363. Pusnik, M., Al-Mansour, F., Sucic, B., Gubina, A.F. (2016), Gap analysis of industrial energy management systems in Slovenia. Energy, 108, 41-49. Quispe, E.C., López, I.D., Ferreira, F.J., Sousa, V. (2018), Unbalanced voltages impacts on the energy performance of induction motors. International Journal of Electrical and Computer Engineering (IJECE), 8(3), 1412-1422. Safa, M., Samarasinghe, S. (2011), Determination and modelling of energy consumption in wheat production using neural networks: Acase study in Canterbury province, New Zealand. Energy, 36(8), 5140-5147. Santos, V.S., Felipe, P.R.V., Sarduy, J.R.G., Quispe, E.C., Balbis, M. (2016), Shaft power estimation in induction motor operating under unbalanced and harmonics voltages. IEEE Latin America Transactions, 14(5), 2309-2315. Sarduy, J.R.G., Di Santo, K.G., Saidel, M.A. (2016), Linear and nonlinear methods for prediction of peak load at University of São Paulo. Measurement, 78, 187-201. Todorov, G.N., Barbakov, O.M., Nikitina, N.I., Chernova, V.Y. (2018), Specifics in modeling of energy efficient production in agribusiness. International Journal of Energy Economics and Policy, 8(3), 51-57. Warechowska, M. (2014), Some physical properties of cereal grain and energy consumption of grinding. Agricultural Engineering, 1(149), 239-249.
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spelling Sarduy Gómez, Julio R.Felipe Viego, Percy R.Torres Díaz, YamilePlascencia Álvarez Guerra, Mario A.Sousa, VladimirHaeseldonckx, Dries2019-05-22T13:45:46Z2019-05-22T13:45:46Z2018-03-2421464553https://hdl.handle.net/11323/4686Corporación 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-0000-0001-8808-1914-600Haeseldonckx, Dries-23f1a782-8477-498f-b1ae-49883b2237ee-0engInternational Journal of Energy Economics and PolicyAttribution-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 energética de una planta de molino de trigoArtículo 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/acceptedVersionAiyedun, O.P., Adeyemi, A.O. (2008), Energy efficiency of a manufacturing industry: A case study of Nigeria eagle flour mills limited, Ibadan. ASSET. An International Journal (Series B), 7(2), 91-103. Balci, F. (2017), Energy Management in Flour Plants. Available from: http://www.millermagazine.com. Bogoviz, A.V., Lobova, S.V., Ragulina, Y.V., Alekseev, A.N. (2018), A critical review of Russia’s energy efficiency policies in agriculture. International Journal of Energy Economics and Policy, 8(3), 67-75. Dhotel, C.L. (2012), Damaged Starch in the Flour Mill: How to Reduce the Electricity Bill. Doctoral Dissertation, Kansas State University. Available from: http://www.krex.k-state.edu/dspace/bitstream/ handle/2097/13684/CharlesLoubersac2012.pdf;sequence=3. Steerneman, M. (2013), Energy Saving. Energy Experts International B.V. Available from: http://www.flourmillers.eu. Doblado-Maldonado, A.F., Pike, O.A., Sweley, J.C., Rose, D.J. (2012), Key issues and challenges in whole wheat flour milling and storage. Journal of Cereal Science, 56(2), 119-126. Dróźdż, B. (2010), Effectiveness of electrical energy consumption in milling plant. Annals of Warsaw University of Life Sciences-SGGW. Agriculture, 56, 57-65. El-Porai, E.S., Salama, A.E., Sharaf, A.M., Hegazy, A.I., Gadallah, M.G.E. (2013), Effect of different milling processes on Egyptian wheat flour properties and pan bread quality. Annals of Agricultural Sciences, 58(1), 51-59. Eras, J.J.C., Santos, V.S., Gutiérrez, A.S., Plasencia, M.Á.G., Haeseldonckx, D., Vandecasteele, C. (2016), Tools to improve forecasting and control of the electricity consumption in hotels. Journal of cleaner production, 137, 803-812. Fang, Q., Haque, E., Spillman, C.K., Steele, P.R.J. (1998), Energy requirements for size reduction of wheat using a roller mill. Transactions of the ASAE, 41(6), 1713-1720. Fišteš, A.Z. (2015), Comparative analysis of milling results on the tail-end reduction passages of the wheat flour milling process: Conventional versus eight-roller milling system. Hemijska Industrija, 69(4), 395-403. Introna, V., Cesarotti, V., Benedetti, M., Biagiotti, S., Rotunno, R. (2014), Energy management maturity model: An organizational tool to foster the continuous reduction of energy consumption in companies. Journal of Cleaner Production, 83, 108-117. ISO, International Standard ISO 50001. (2011), Energy Management Systems-Requirements with Guidance for Use. ISO, International Standard ISO 50006 standard. (2014), Energy Management Systems-Measuring Energy Performance using Energy Baselines (Enb) and Energy Performance Indicators (Enpi)-General Principles And Guidance. Madrigal, J.A., Eras, J.J.C., Herrera, H.H., Santos, V.S., Morejón, M.B. (2018), Planificación energética para el ahorro de fueloil en una lavandería industrial. Ingeniare. Revista Chilena de Ingeniería, 26(1), 86-96. Nabavi-Pelesaraei, A., Hosseinzadeh-Bandbafha, H., QasemiKordkheili, P., Kouchaki-Penchah, H., Riahi-Dorcheh, F. (2016), Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production. Energy, 103, 672-678. Okonigene, R.E., Omondaigbe, C. (2009), Electrical energy consumption pattern of flour mill in Nigeria. The Pacific Journal of Science and Technology, 10(2), 514-519. Olaoye, O.S., Adefajo, A.A., Ekindayo, S.O. (2014), Energy analysis of wheat processing plant in Nigeria. ARPN Journal of Engineering and Applied Science, 9(9), 1586-1591. Pehlken, A., Decker, A., Kottowski, C., Kirchner, A., Thoben, K.D. (2015), Energy efficiency in processing of natural raw materials under consideration of uncertainties. Journal of Cleaner Production, 106, 351-363. Pusnik, M., Al-Mansour, F., Sucic, B., Gubina, A.F. (2016), Gap analysis of industrial energy management systems in Slovenia. Energy, 108, 41-49. Quispe, E.C., López, I.D., Ferreira, F.J., Sousa, V. (2018), Unbalanced voltages impacts on the energy performance of induction motors. International Journal of Electrical and Computer Engineering (IJECE), 8(3), 1412-1422. Safa, M., Samarasinghe, S. (2011), Determination and modelling of energy consumption in wheat production using neural networks: Acase study in Canterbury province, New Zealand. Energy, 36(8), 5140-5147. Santos, V.S., Felipe, P.R.V., Sarduy, J.R.G., Quispe, E.C., Balbis, M. (2016), Shaft power estimation in induction motor operating under unbalanced and harmonics voltages. IEEE Latin America Transactions, 14(5), 2309-2315. Sarduy, J.R.G., Di Santo, K.G., Saidel, M.A. (2016), Linear and nonlinear methods for prediction of peak load at University of São Paulo. Measurement, 78, 187-201. Todorov, G.N., Barbakov, O.M., Nikitina, N.I., Chernova, V.Y. (2018), Specifics in modeling of energy efficient production in agribusiness. International Journal of Energy Economics and Policy, 8(3), 51-57. Warechowska, M. (2014), Some physical properties of cereal grain and energy consumption of grinding. Agricultural Engineering, 1(149), 239-249.PublicationORIGINALA New Energy Performance Indicator for Energy Management.pdfA New Energy Performance Indicator for Energy Management.pdfapplication/pdf1363004https://repositorio.cuc.edu.co/bitstreams/4a6a3117-9d49-420b-8d93-d2b46fc28970/download6a39f5ccb735989b8e1d40075939d096MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.cuc.edu.co/bitstreams/b5fdaf7e-bfa4-46ea-9053-984e7b726d5d/download934f4ca17e109e0a05eaeaba504d7ce4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/15028b16-c67c-4f61-842c-97b28542fc9c/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILA New Energy Performance Indicator for Energy Management.pdf.jpgA New Energy Performance Indicator for Energy Management.pdf.jpgimage/jpeg71150https://repositorio.cuc.edu.co/bitstreams/9bb4b5fb-7d59-4ed7-9fa6-840a41605bed/downloadf331f6d1594fce95251544466a4629a2MD55TEXTA New Energy Performance Indicator for Energy Management.pdf.txtA New Energy Performance Indicator for Energy Management.pdf.txttext/plain29876https://repositorio.cuc.edu.co/bitstreams/f264f215-495f-49af-b7fe-bc2c99fc299a/downloadfde77c0a1e64375685f0041fb959127cMD5611323/4686oai:repositorio.cuc.edu.co:11323/46862024-09-17 11:00:54.921http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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