Artificial Intellligence And Energy Optimization In Thermal Industries

Okeke, H.S and Joseph, E.A (2020) Artificial Intellligence And Energy Optimization In Thermal Industries. Journal of Embedded Systems and Processing, 5 (1). pp. 11-14.

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Abstract

In the thermal industry today, optimization of energy cannot be put aside regarding the state of the environment as well as the energy production level. Today, in this industrial sector, the type of control system applied in the control machinery is of the classical type (the Proportional-Integral-Derivative (PID) controllers) and this control system in the phase of non-linearity, that is when the process becomes too complex to be described by analytical models, it becomes inefficiently controlled by this classical approach, To forestall this energy waste and bring about energy optimization in the system operation, an automated operator’s task which employs an artificial intelligence control system is required. This will result in an automated control system that will delist the classical control inability, thereby making efficient the thermally induced machinery control and bring about the optimization of energy. In a nutshell, this work is meant to optimize energy in the thermal industry by using the artificial intelligent control in its system control of machinery. This work finds application in the thermal industry.

Item Type:	Article
Uncontrolled Keywords:	Artificial Intelligence, Classical Control, Energy Optimization, Thermal Industry
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Joy Oluwabukola Olayiwola
Date Deposited:	08 Feb 2022 10:09
Last Modified:	08 Feb 2022 10:09
URI:	http://eprints.federalpolyilaro.edu.ng/id/eprint/1840

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