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:11323/4686
- Acceso en línea:
- http://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
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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 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 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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http://purl.org/redcol/resource_type/ART |
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21464553 |
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http://hdl.handle.net/11323/4686 |
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Corporación Universidad de la Costa |
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eng |
| language |
eng |
| 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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Sarduy Gómez, Julio R.d2f965468d6764ca0317841c800de829Felipe Viego, Percy R.f1b28f5844536ecae598a60cc69f175fTorres Díaz, Yamile4119e1a0d56bd58a12110f8579610528Plascencia Álvarez Guerra, Mario A.6239e0cf30b081799f61cece408bc024Sousa, Vladimir2b961c8493279d656f07e4690b72005dHaeseldonckx, Dries908cbaffc7f8e20c5d06d1ace3548d152019-05-22T13:45:46Z2019-05-22T13:45:46Z2018-03-2421464553http://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.engInternational 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. 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