Modeling Anode Current Pickup After Setting

Wong, Choon-Jie; Yao, Yuchen; Bao, Jie; Skyllas‐Kazacos, Maria; Welch, B. J.; Jassim, Ali

doi:10.1007/978-3-030-65396-5_51

Cited by 4 publications

(2 citation statements)

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“…16. Similar to our previous work, 23 it is observed that the new anodes do not reach full current carrying capacity when all the freeze has dissolved. Instead, the rate of anode current pickup decreases abruptly at around 6-7 h when all the freeze has disappeared, and from this point onwards, the anode current slowly approaches full capacity, taking a minimum of 4 days.…”

Section: Resultssupporting

confidence: 88%

“…While numerous dynamic reduction cell models exist (e.g., [20][21][22] ), the operating conditions and energy and productivity priorities during an anode change event are not well served by the previous approaches. In this manuscript, based on our previous work 23 that investigated how various mechanisms affect the pickup of anode current after anode replacement, we present a model with integrated mass and energy balances to describe the freeze dissolution and heat transfer from the first principle with less reliance on empirical relations. This model can improve existing anode replacement operations or control algorithms by providing insights into this routine operation, for example by deciding any necessary adjustments to the height at which anodes are clamped in order to achieve a desirable rate of anode current pickup based on predictions of its future trajectory.…”

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confidence: 99%

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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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Section: Resultssupporting

confidence: 88%

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confidence: 99%