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

Tianyou Chai; Mingyu Li; Zheng Zhou; Siyu Cheng; Yao Jia; Zhiwei Wu

doi:10.1016/j.eng.2023.05.018

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Engineering ›› 2023, Vol. 27 ›› Issue (8) : 84-95. DOI: 10.1016/j.eng.2023.05.018

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

Tianyou Chai^a^,^b^,^* ,
Mingyu Li^a^,^b ,
Zheng Zhou^a^,^b ,
Siyu Cheng^a^,^b ,
Yao Jia^a^,^b ,
Zhiwei Wu^a^,^b

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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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Keywords

Energy-intensive equipment / Low-carbon operation / Intelligent control / End-edge-cloud collaboration technology

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Tianyou Chai, Mingyu Li, Zheng Zhou, Siyu Cheng, Yao Jia, Zhiwei Wu. An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment. Engineering, 2023, 27(8): 84‒95 https://doi.org/10.1016/j.eng.2023.05.018

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