Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression Analysis

The philosophy of efficient energy consumption is vitally crucial to profitable production cost in manufacturing industries. This is because the unit production cost is largely determined by the cost of unit energy supply; which is quite higher than the cost of raw materials in Nigeria. It has been...

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Main Authors: P. O. Oluseyi, J. A. Adeagbo, D. D. Dinakin, O. M. Babatunde
Format: Article
Language:English
Published: Iran University of Science and Technology 2021-03-01
Series:Iranian Journal of Electrical and Electronic Engineering
Subjects:
Online Access:http://ijeee.iust.ac.ir/article-1-1649-en.html
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spelling doaj-cac8674b989c4b658660db3090a989c92020-12-01T06:40:16ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902021-03-0117116491649Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression AnalysisP. O. Oluseyi0J. A. Adeagbo1D. D. Dinakin2O. M. Babatunde3 Department of Electrical and Electronics Engineering, University of Lagos, Nigeria. Department of Electrical and Electronics Engineering, University of Lagos, Nigeria. Department of Electrical and Electronics Engineering, University of Lagos, Nigeria. Department of Electrical and Electronics Engineering, University of Lagos, Nigeria. The philosophy of efficient energy consumption is vitally crucial to profitable production cost in manufacturing industries. This is because the unit production cost is largely determined by the cost of unit energy supply; which is quite higher than the cost of raw materials in Nigeria. It has been established that the Nigerian industrial sector is responsible for 8.7% of the total energy consumption in the nation. Out of this chunk, the food and beverage industry appropriates approximately 2%. Meanwhile, it is observed that the energy consumption trend in most industrial electric motors is always high due to continuous operation even during the idle time/period in production. In this study, data gathered has a coefficient of determination of 99.7%. This is, thus, subjected to regression analysis which assists in predicting the energy consumption trend for a period of one year. Further to this, the capacity of control principles in efficient energy consumption is demonstrated by practical real time implementation of a smart energy saving in the food industries using PLClogicx software. In this sense, the developed programmable logic control (PLC) ladder diagram was further designed and implemented using fuzzy logic control (FLC). This is simulated using MATLAB/Simulink toolbox. By this arrangement; it is observed that there was a significant reduction in energy consumption. This is obviously revealed in the obtained results. In this case, there was an average electrical energy savings of 65.59% in the plant’s case sealing section while an energy saving of approximately 0.13% was achieved in reference to the overall energy consumption of the industrial plant’s processes. Finally, based on the mathematical calculations obtained from observations of typical production processes in the multinational food and beverage company, the FLC is discovered to provide 99.83% efficiency in optimizing energy consumption.http://ijeee.iust.ac.ir/article-1-1649-en.htmlenergy consumption and savingfuzzy logic control (flc)programmable logic control (plc) ladder diagramconveyor motorsregression analysis.
collection DOAJ
language English
format Article
sources DOAJ
author P. O. Oluseyi
J. A. Adeagbo
D. D. Dinakin
O. M. Babatunde
spellingShingle P. O. Oluseyi
J. A. Adeagbo
D. D. Dinakin
O. M. Babatunde
Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression Analysis
Iranian Journal of Electrical and Electronic Engineering
energy consumption and saving
fuzzy logic control (flc)
programmable logic control (plc) ladder diagram
conveyor motors
regression analysis.
author_facet P. O. Oluseyi
J. A. Adeagbo
D. D. Dinakin
O. M. Babatunde
author_sort P. O. Oluseyi
title Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression Analysis
title_short Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression Analysis
title_full Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression Analysis
title_fullStr Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression Analysis
title_full_unstemmed Implementation of Control Strategy for Predicting Energy Consumption Management in a Food and Beverage Industry Using Regression Analysis
title_sort implementation of control strategy for predicting energy consumption management in a food and beverage industry using regression analysis
publisher Iran University of Science and Technology
series Iranian Journal of Electrical and Electronic Engineering
issn 1735-2827
2383-3890
publishDate 2021-03-01
description The philosophy of efficient energy consumption is vitally crucial to profitable production cost in manufacturing industries. This is because the unit production cost is largely determined by the cost of unit energy supply; which is quite higher than the cost of raw materials in Nigeria. It has been established that the Nigerian industrial sector is responsible for 8.7% of the total energy consumption in the nation. Out of this chunk, the food and beverage industry appropriates approximately 2%. Meanwhile, it is observed that the energy consumption trend in most industrial electric motors is always high due to continuous operation even during the idle time/period in production. In this study, data gathered has a coefficient of determination of 99.7%. This is, thus, subjected to regression analysis which assists in predicting the energy consumption trend for a period of one year. Further to this, the capacity of control principles in efficient energy consumption is demonstrated by practical real time implementation of a smart energy saving in the food industries using PLClogicx software. In this sense, the developed programmable logic control (PLC) ladder diagram was further designed and implemented using fuzzy logic control (FLC). This is simulated using MATLAB/Simulink toolbox. By this arrangement; it is observed that there was a significant reduction in energy consumption. This is obviously revealed in the obtained results. In this case, there was an average electrical energy savings of 65.59% in the plant’s case sealing section while an energy saving of approximately 0.13% was achieved in reference to the overall energy consumption of the industrial plant’s processes. Finally, based on the mathematical calculations obtained from observations of typical production processes in the multinational food and beverage company, the FLC is discovered to provide 99.83% efficiency in optimizing energy consumption.
topic energy consumption and saving
fuzzy logic control (flc)
programmable logic control (plc) ladder diagram
conveyor motors
regression analysis.
url http://ijeee.iust.ac.ir/article-1-1649-en.html
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