Online Anode Current Signal in Aluminum Reduction Cells: Measurements and Prospects

Yang, Shuai; Zhong, Zhang; Li, Jie; Hong-liang, Zhang

doi:10.1007/s11837-015-1738-4

Cited by 14 publications

(1 citation statement)

References 17 publications

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“…Spatially-discretised thermal model.-The measurement of individual anode currents in a cell is unconventional, but has shown great benefits for cell monitoring and control. [24][25][26][27][28][29][30][31][32][33][34] As the heat generation in a cell is primarily ohmic, the anode current distribution readily represents the spatial distribution of energy in a cell. Therefore, similar to the work first presented by Cheung, 26 regions in the cell are discretised according to anode locations as shown in Fig.…”

Section: Model Developmentmentioning

confidence: 99%

Modelling of Coupled Mass and Thermal Balances in Hall-Heroult Cells During Anode Change

Wong

Yao

Bao

et al. 2021

J. Electrochem. Soc.

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As the most routine work practice in an aluminium reduction cell, anode change introduces substantial perturbations that adversely affect the mass and heat balance of the cell which may lead to loss of process efficiency and increased energy consumption. The literature lacks a dynamic mathematical model that describes the interactions among cell variables (e.g., electrolyte temperature and flow, anode current distribution, and cell heat loss) during and following this operation, which could otherwise be used to understand the process in greater depth and to develop changes that improve process operations and control. This paper presents a spatially-discretised dynamic model for anode replacement that integrates mass balance, thermal balance and cell voltage to describe and predict local cell variables. It was experimentally validated with an industrial cell undergoing an anode change procedure. This generic model can be applied to different cell design or process conditions by using appropriate parameters (e.g., heat transfer coefficients, conductivities, and flow patterns). The model can be used to improve existing process operations or control strategies for higher process efficiency, lower energy consumption, and lower emissions.

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