A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum of Aluminum Electrolysis Cell Voltage

Zeng, Zhiwei; Gui, Weihua; Chen, Xiaofang; Xie, Yongfang; Zhang, Hongliang; Sun, Yuning

doi:10.1016/j.eng.2020.11.012

Cited by 23 publications

(1 citation statement)

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“…Cell voltage refers to the voltage through which the current passes in the electrolytic cell, and it is an important factor in the production process of aluminum electrolysis [4]. The parameters affecting cell voltage are the pole pitch, electrolyte level, molecular ratio, resistance, alumina concentration, aluminum output, electrolyte temperature, aluminum level, and electric current.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Cell Voltage Based on a Comprehensive Index Evaluation Model in the Aluminum Electrolysis Process

Xu,

Zhang,

Liu

et al. 2024

Mathematics

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In the abnormal situation of an aluminum electrolysis cell, the setting of cell voltage is mainly based on manual experience. To obtain a smaller cell voltage and optimize the operating parameters, a multi-objective optimization method for cell voltage based on a comprehensive index evaluation model is proposed. Firstly, a comprehensive judgment model of the cell state based on the energy balance, material balance, and stability of the aluminum electrolysis process is established. Secondly, a fuzzy neural network (FNN) based on the autoregressive moving average (ARMA) model is designed to establish the cell-state prediction model in order to finish the real-time monitoring of the process. Thirdly, the optimization goal of the process is summarized as having been met when the difference between the average cell voltage and the target value reaches the minimum, and the condition of the cell is excellent. And then, the optimization setting model of cell voltage is established under the constraints of the production and operation requirements. Finally, a multi-objective antlion optimization algorithm (MOALO) is used to solve the above model and find a group of optimized values of the electrolysis cell, which is used to realize the optimization control of the cell state. By using actual production data, the above method is validated to be effective. Moreover, optimized operating parameters are used to verify the prediction model of cell voltage, and the cell state is just excellent. The method is also applied to realize the optimization control of the process. It is of guiding significance for stabilizing the electrolytic aluminum production and achieving energy saving and consumption reduction.

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Section: Introductionmentioning

confidence: 99%