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A New Energy Performance Indicator for Energy Management System of a Wheat Mill Plant

Author

Listed:
  • Julio R. G mez Sarduy

    (Center of Energy and Environmental Studies, Universidad de Cienfuegos, Cuba,)

  • Percy R. Viego Felipe

    (Center of Energy and Environmental Studies, Universidad de Cienfuegos, Cuba)

  • Yamile D az Torres

    (Center of Energy and Environmental Studies, Universidad de Cienfuegos, Cuba)

  • Mario A. lvarez-Guerra Plascencia

    (Center of Energy and Environmental Studies, Universidad de Cienfuegos, Cuba)

  • Vladimir Sousa Santos

    (Department of Energy, Universidad de la Costa (CUC), Barranquilla, Colombia)

  • Dries Haeseldonckx

    (KU Leuven, Faculty of Industrial Engineering, Campus Group T, Leuven, Belgium.)

Abstract

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

Suggested Citation

  • Julio R. G mez Sarduy & Percy R. Viego Felipe & Yamile D az Torres & Mario A. lvarez-Guerra Plascencia & Vladimir Sousa Santos & Dries Haeseldonckx, 2018. "A New Energy Performance Indicator for Energy Management System of a Wheat Mill Plant," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 324-330.
    • Handle: RePEc:eco:journ2:2018-04-40
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Victor A. Alcal Abraham & Elkin D. Alem n Causil & Vladimir Sousa Santos & Eliana Noriega Angarita & Julio R. G mez Sarduy, 2021. "Identification of Savings Opportunities in a Steel Manufacturing Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 43-50.
    2. Beisheim, Benedikt & Krämer, Stefan & Engell, Sebastian, 2020. "Hierarchical aggregation of energy performance indicators in continuous production processes," Applied Energy, Elsevier, vol. 264(C).
    3. Hernan Hernandez-Herrera & Jorge I. Silva-Ortega & Vicente Leonel Mart nez Diaz & Zaid Garc a Sanchez & Gilberto Gonz lez Garc a & Sandra M. Escorcia & Habid E. Zarate, 2020. "Energy Savings Measures in Compressed Air Systems," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 414-422.
    4. Adalberto Ospino Castro & Carlos Robles-Algar n & Rafael Pe a Gallardo, 2019. "Analysis of Energy Management and Financial Planning in the Implementation of PV Systems," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 1-11.
    5. John William Grimaldo Guerrero & Andr s David Rodr guez Toscano & Lucelys Vidal Pacheco & Jos Osorio Tovar, 2018. "Analysis of the Energetic and Productive Effects Derived by the Installation of a Conveyor Belt in the Metal-mechanic Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 196-201.

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    More about this item

    Keywords

    energy performance indicators; energy efficiency; wheat milling;
    All these keywords.

    JEL classification:

    • K32 - Law and Economics - - Other Substantive Areas of Law - - - Energy, Environmental, Health, and Safety Law
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    Statistics

    Access and download statistics

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