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Engineering >> 2023, Volume 27, Issue 8 doi: 10.1016/j.eng.2023.05.018

An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment

a State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
b National Engineering Technology Research Center for Metallurgical Industry Automation (Shenyang), Northeastern University, Shenyang 110819, China

Received:2022-08-31 Revised:2023-01-28 Accepted: 2023-05-25 Available online:2023-08-01

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Abstract

Based on an analysis of the operational control behavior of operation experts on energy-intensive equipment, this paper proposes an intelligent control method for low-carbon operation by combining mechanism analysis with deep learning, linking control and optimization with prediction, and integrating decision-making with control. This method, which consists of setpoint control, self-optimized tuning, and tracking control, ensures that the energy consumption per tonne is as low as possible, while remaining within the target range. An intelligent control system for low-carbon operation is developed by adopting the end–edge–cloud collaboration technology of the Industrial Internet. The system is successfully applied to a fused magnesium furnace and achieves remarkable results in reducing carbon emissions. 

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