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Intelligent Control for Energy Conservation of Air Conditioning System in Manufacturing Systems by Kung-Jeng Wang; Teshome Bekele Dagne; Chiuhsiang Joe Lin; Bereket Haile Woldegiorgis; Hong-Phuc Nguyen is a Engineering article available to read on EtoBox.

What is Intelligent Control for Energy Conservation of Air Conditioning System in Manufacturing Systems about?

Energy conservation is a critical issue, particularly in manufacturing industries with intensive energy usage. The proportional–integral–derivative (PID) controller fails to adjust shop floor temperature against indoor heat dynamics which substantially affect the stability and robustness of the system to achieve energy conservation. By jointly considering the make-up unit (MAU) and a set of collaborative dry cooling coil (DCC) units of a large scaled industrial air condition system, an intelligent control model is proposed in the study to achieve energy conservation and ensure stability of shop floor temperature simultaneously. The temperature set point of the MAU, and the openness of massive distributed DCCs in the factory are optimized in real-time to guarantee the comfort of shop floor temperature, and minimize energy usage and damping. A combined support vector regression with genetic algorithm is proposed to solve the problem efficiently. In addition, the energy efficiency and robustness of the proposed optimization model in securing the stability of the shop floor temperature against indoor heat dynamics is proven through a case study. The total energy consumed by the propose

Who reads Intelligent Control for Energy Conservation of Air Conditioning System in Manufacturing Systems?

Author

Kung-Jeng Wang; Teshome Bekele Dagne; Chiuhsiang Joe Lin; Bereket Haile Woldegiorgis; Hong-Phuc Nguyen

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Engineering (Physical Sciences)