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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Iran University of Science and Technology
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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 |
work_keys_str_mv |
AT pooluseyi implementationofcontrolstrategyforpredictingenergyconsumptionmanagementinafoodandbeverageindustryusingregressionanalysis AT jaadeagbo implementationofcontrolstrategyforpredictingenergyconsumptionmanagementinafoodandbeverageindustryusingregressionanalysis AT dddinakin implementationofcontrolstrategyforpredictingenergyconsumptionmanagementinafoodandbeverageindustryusingregressionanalysis AT ombabatunde implementationofcontrolstrategyforpredictingenergyconsumptionmanagementinafoodandbeverageindustryusingregressionanalysis |
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