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2024 | OriginalPaper | Chapter

Predicting Electrolyte and Liquidus Temperatures of Aluminium Smelting Cells for Power Modulation Using Dynamic Model

Authors : Choon-Jie Wong, Jie Bao, Maria Skyllas-Kazacos, Barry Welch, Jing Shi, Nadia Ahli, Amal Aljasmi, Mohamed Mahmoud, Mustafa Mustafa

Published in: Light Metals 2024

Publisher: Springer Nature Switzerland

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Abstract

Effective monitoring and precise control of electrolyte and liquidus temperatures (which together give superheat levels) are imperative for optimising the performance, extending the lifespan, and improving the current efficiency of aluminium smelter cells. During periods of intensive and frequent power modulation, where the power input to the cell is altered, maintaining a perfect mass and thermal equilibrium becomes increasingly challenging. As a result, both bath temperature and superheat will invariably fluctuate. This paper presents a study of a power modulation event, as well as encouraging results on the use of a comprehensive dynamic model, which integrates mass and thermal balances, for the continuous prediction of the bulk electrolyte and liquidus temperatures, ledge thickness, and bath compositions. This paper is working towards addressing the absence of continuous thermal measurements suitable for real-time thermal monitoring and control, especially under complex conditions introduced by power modulation.

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Literature
1.
go back to reference Tingle WH, Petit J, Frank WB (1981) Sodium content of aluminium in equilibrium with NaF-AlF3 Melts. Aluminium:286–288. Tingle WH, Petit J, Frank WB (1981) Sodium content of aluminium in equilibrium with NaF-AlF3 Melts. Aluminium:286–288.
2.
go back to reference Welch BJ (2023) The Need to Respect the Interlink Between Science, Physics, and Cell Design in an Environmentally Responsible Manner: The Next Big Challenge for Aluminium Smelting. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA. Welch BJ (2023) The Need to Respect the Interlink Between Science, Physics, and Cell Design in an Environmentally Responsible Manner: The Next Big Challenge for Aluminium Smelting. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA.
3.
go back to reference Gusberti V (2014), Modelling the mass and energy balance of aluminium reduction cells. Ph.D. thesis, School of Chemical Engineering, Faculty of Engineering, the University of New South Wales, Australia. Gusberti V (2014), Modelling the mass and energy balance of aluminium reduction cells. Ph.D. thesis, School of Chemical Engineering, Faculty of Engineering, the University of New South Wales, Australia.
4.
go back to reference Haupin W (1992) The liquidus enigma. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA. Haupin W (1992) The liquidus enigma. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA.
5.
go back to reference Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A, Mahmoud M, Arkhipov A (2021) Modelling of Coupled Mass and Thermal Balances in Hall-Heroult Cells During Anode Change. Journal of the Electrochemical Society. 168(21):123506 Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A, Mahmoud M, Arkhipov A (2021) Modelling of Coupled Mass and Thermal Balances in Hall-Heroult Cells During Anode Change. Journal of the Electrochemical Society. 168(21):123506
6.
go back to reference Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A (2021) Modeling Anode Current Pickup After Setting. Paper presented at the Proceedings of the TMS Light Metals, Orlando, Florida, USA. Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A (2021) Modeling Anode Current Pickup After Setting. Paper presented at the Proceedings of the TMS Light Metals, Orlando, Florida, USA.
7.
go back to reference Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A (2020) Study of heat distribution due to ACD variations for anode setting. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA. Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A (2020) Study of heat distribution due to ACD variations for anode setting. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA.
8.
go back to reference Frost F, Karri V (2000) Productivity improvements through prediction of electrolyte temperature in aluminium reduction cell using BP neural network. Paper presented at the PRICAI 2000 Topics in Artificial Intelligence: 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia. Frost F, Karri V (2000) Productivity improvements through prediction of electrolyte temperature in aluminium reduction cell using BP neural network. Paper presented at the PRICAI 2000 Topics in Artificial Intelligence: 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia.
9.
go back to reference Soares FM, Oliveira RCL (2010) Modelling of temperature in the aluminium smelting process using Neural Networks. Paper presented at the Proceedings of the International Joint Conference on Neural Networks (IJCNN). Soares FM, Oliveira RCL (2010) Modelling of temperature in the aluminium smelting process using Neural Networks. Paper presented at the Proceedings of the International Joint Conference on Neural Networks (IJCNN).
10.
go back to reference Souza AMFd, Soares FM, Castro MAGd, Nagem NF, Bitencourt AHdJ, Affonso CdM, Oliveira RCLod (2019) Soft sensors in the primary aluminum production process based on neural networks using clustering methods. Sensors. 19(23):5255 Souza AMFd, Soares FM, Castro MAGd, Nagem NF, Bitencourt AHdJ, Affonso CdM, Oliveira RCLod (2019) Soft sensors in the primary aluminum production process based on neural networks using clustering methods. Sensors. 19(23):5255
11.
go back to reference Aljabri N, Mofor E, Raheem R, Kaur R, Sayed KA, Ibrahim ALHosani AAS, Abdallah Rahbar AA, Nair V (2019) Advanced Process Control with Smart Smelter Sensors at EGA. Paper presented at the Proceedings of the International ICSOBA Conference, Athens, Greece. Aljabri N, Mofor E, Raheem R, Kaur R, Sayed KA, Ibrahim ALHosani AAS, Abdallah Rahbar AA, Nair V (2019) Advanced Process Control with Smart Smelter Sensors at EGA. Paper presented at the Proceedings of the International ICSOBA Conference, Athens, Greece.
12.
go back to reference Kolås S, Støre T (2009) Bath temperature and AlF3 control of an aluminium electrolysis cell. Control Engineering Practice. 17(9):1035–1043. Kolås S, Støre T (2009) Bath temperature and AlF3 control of an aluminium electrolysis cell. Control Engineering Practice. 17(9):1035–1043.
13.
go back to reference Wong C-J, Bao J, Skyllas-Kazacos M, Welch B, Shi J, Ahli N, Aljasmi A, Mahmoud M, Mustafa M (2023) A Study on Predicting Electrolyte Temperature of Aluminium Smelting Cells for Power Modulation. Paper presented at the Accepted for Proceedings of the International ICSOBA Conference, Dubai, UAE. Wong C-J, Bao J, Skyllas-Kazacos M, Welch B, Shi J, Ahli N, Aljasmi A, Mahmoud M, Mustafa M (2023) A Study on Predicting Electrolyte Temperature of Aluminium Smelting Cells for Power Modulation. Paper presented at the Accepted for Proceedings of the International ICSOBA Conference, Dubai, UAE.
14.
go back to reference Stam MA, Schaafsma J (2007) The impact of power modulation on the cell dynamics. Paper presented at the Proceedings of 9th Australasian Aluminium Smelting Technology Conference. Stam MA, Schaafsma J (2007) The impact of power modulation on the cell dynamics. Paper presented at the Proceedings of 9th Australasian Aluminium Smelting Technology Conference.
15.
go back to reference Solheim A, Rolseth S, Skybakmoen E, Støen L, Sterten ÅA, Støre T (1995) Liquidus temperature and alumina solubility in the system Na3AlF6–AlF3–LiF–CaF2–MgF2. Paper presented at the Proceedings of the TMS Light Metals, Las Vegas, Nevada, USA. Solheim A, Rolseth S, Skybakmoen E, Støen L, Sterten ÅA, Støre T (1995) Liquidus temperature and alumina solubility in the system Na3AlF6–AlF3–LiF–CaF2–MgF2. Paper presented at the Proceedings of the TMS Light Metals, Las Vegas, Nevada, USA.
16.
go back to reference Grjotheim K, Welch BJ (1980) Aluminium smelter technology. Aluminium-Verlag. Grjotheim K, Welch BJ (1980) Aluminium smelter technology. Aluminium-Verlag.
17.
go back to reference Robilliard KR, Rolof B (1989) A Demand Feed Strategy for Aluminum Electrolysis Cells. Paper presented at the Proceedings of the TMS Light Metals, Las Vegas, Nevada, USA. Robilliard KR, Rolof B (1989) A Demand Feed Strategy for Aluminum Electrolysis Cells. Paper presented at the Proceedings of the TMS Light Metals, Las Vegas, Nevada, USA.
18.
go back to reference Biedler P (2003), Modeling of an aluminum reduction cell for the development of a state estimator. thesis, College of Engineering and Mineral Resources, Department of Mechanical and Aerospace Engineering, West Virginia University, West Virginia, USA. Biedler P (2003), Modeling of an aluminum reduction cell for the development of a state estimator. thesis, College of Engineering and Mineral Resources, Department of Mechanical and Aerospace Engineering, West Virginia University, West Virginia, USA.
19.
go back to reference Antille J, von Kaenel R, Bugnion L (2016) Hall-Héroult Cell Simulator: A Tool for the Operation and Process Control. Paper presented at the Proceedings of the TMS Light Metals, Nashville, Tennessee, USA. Antille J, von Kaenel R, Bugnion L (2016) Hall-Héroult Cell Simulator: A Tool for the Operation and Process Control. Paper presented at the Proceedings of the TMS Light Metals, Nashville, Tennessee, USA.
20.
go back to reference Haupin W, Kvande H (2016) Mathematical model of fluoride evolution from Hall-Heroult Cells. Paper presented at the Proceedings of the TMS Light Metals, Denver, Colorado, USA. Haupin W, Kvande H (2016) Mathematical model of fluoride evolution from Hall-Heroult Cells. Paper presented at the Proceedings of the TMS Light Metals, Denver, Colorado, USA.
21.
go back to reference Haupin W (1984) Mathematical Model of Fluoride Evolution From Hall-Heroult Cells. Paper presented at the Proceedings of the TMS Light Metals, Los Angeles, California, USA. Haupin W (1984) Mathematical Model of Fluoride Evolution From Hall-Heroult Cells. Paper presented at the Proceedings of the TMS Light Metals, Los Angeles, California, USA.
22.
go back to reference Wong C-J, Bao J, Skyllas-Kazacos M, Welch B, Mahmoud M, Arkhipov A, Ahli N (2023) Studies on Power Modulation of Aluminum Smelting Cells Based on a Discretized Mass and Thermal Dynamic Model. Metallurgical and Materials Transactions B. 54:1–16. Wong C-J, Bao J, Skyllas-Kazacos M, Welch B, Mahmoud M, Arkhipov A, Ahli N (2023) Studies on Power Modulation of Aluminum Smelting Cells Based on a Discretized Mass and Thermal Dynamic Model. Metallurgical and Materials Transactions B. 54:1–16.
23.
go back to reference Welch BJ (2021) Training the trainers Part 1: Review of Objectives Constraints & Changes. Welch BJ (2021) Training the trainers Part 1: Review of Objectives Constraints & Changes.
25.
go back to reference Wong C-J, Bao J, Skyllas-Kazacos M, Jassim A, Mahmoud M, Arkhipov A (2023) Monitoring Cell Conditions and Anode Freeze Dissolution with Model-Based Soft Sensor After Anode Change. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA. Wong C-J, Bao J, Skyllas-Kazacos M, Jassim A, Mahmoud M, Arkhipov A (2023) Monitoring Cell Conditions and Anode Freeze Dissolution with Model-Based Soft Sensor After Anode Change. Paper presented at the Proceedings of the TMS Light Metals, San Diego, California, USA.
26.
go back to reference Wong C-J (2022), Dynamic Mass and Heat Balance Model of Hall-Heroult Cells: A Discretised Approach. Ph.D. thesis, School of Chemical Engineering, Faculty of Engineering, University of New South Wales, Australia. Wong C-J (2022), Dynamic Mass and Heat Balance Model of Hall-Heroult Cells: A Discretised Approach. Ph.D. thesis, School of Chemical Engineering, Faculty of Engineering, University of New South Wales, Australia.
27.
go back to reference Thonstad J, Utigard TA, Vogt H (2000) On the anode effect in aluminum electrolysis. Paper presented at the Proceedings of the TMS Light Metals, Nashville, Tennessee, USA. Thonstad J, Utigard TA, Vogt H (2000) On the anode effect in aluminum electrolysis. Paper presented at the Proceedings of the TMS Light Metals, Nashville, Tennessee, USA.
28.
go back to reference Cheung C-Y (2013), Anode Current Signals Analysis, Characterization and Modeling of Aluminum Reduction Cells. Ph.D. thesis, School of Chemical Engineering, Faculty of Engineering, the University of New South Wales, Australia. Cheung C-Y (2013), Anode Current Signals Analysis, Characterization and Modeling of Aluminum Reduction Cells. Ph.D. thesis, School of Chemical Engineering, Faculty of Engineering, the University of New South Wales, Australia.
29.
go back to reference Jakobsen SR, Hestetun K, Hovd M, Solberg I (2001) Estimating alumina concentration distribution in aluminium electrolysis cells. IFAC Proceedings Volumes. 34(18):303–308. Jakobsen SR, Hestetun K, Hovd M, Solberg I (2001) Estimating alumina concentration distribution in aluminium electrolysis cells. IFAC Proceedings Volumes. 34(18):303–308.
30.
go back to reference Hestetun K, Hovd M (2005) Detecting abnormal feed rate in aluminium electrolysis using extended Kalman filter. IFAC Proceedings Volumes. 38(1):85–90. Hestetun K, Hovd M (2005) Detecting abnormal feed rate in aluminium electrolysis using extended Kalman filter. IFAC Proceedings Volumes. 38(1):85–90.
31.
go back to reference Yao Y, Cheung C-Y, Bao J, Skyllas-Kazacos M (2015) Monitoring local alumina dissolution in aluminum reduction cells using state estimation. Paper presented at the Proceedings of the TMS Light Metals, Orlando, Florida, USA. Yao Y, Cheung C-Y, Bao J, Skyllas-Kazacos M (2015) Monitoring local alumina dissolution in aluminum reduction cells using state estimation. Paper presented at the Proceedings of the TMS Light Metals, Orlando, Florida, USA.
32.
go back to reference Yao Y, Cheung C-Y, Bao J, Welch BJ, Skyllas-Kazacos M, Akhmetov S, Jassim A (2017) Method for estimating dynamic state variables in an electrolytic cell suitable for the Hall-Heroult electrolysis process. Patent number WO 2017/141134 A1. Yao Y, Cheung C-Y, Bao J, Welch BJ, Skyllas-Kazacos M, Akhmetov S, Jassim A (2017) Method for estimating dynamic state variables in an electrolytic cell suitable for the Hall-Heroult electrolysis process. Patent number WO 2017/141134 A1.
33.
go back to reference Yao Y, Bao J (2018) State and parameter estimation in Hall-Heroult cells using iterated extended Kalman filter. IFAC-PapersOnLine. 51(21):36–41. Yao Y, Bao J (2018) State and parameter estimation in Hall-Heroult cells using iterated extended Kalman filter. IFAC-PapersOnLine. 51(21):36–41.
34.
go back to reference Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A, Mahmoud M (2021) Discretized Thermal Model of Hall-Heroult Cells for Monitoring and Control. IFAC-PapersOnLine. 54(11):67–72. Wong C-J, Yao Y, Bao J, Skyllas-Kazacos M, Welch BJ, Jassim A, Mahmoud M (2021) Discretized Thermal Model of Hall-Heroult Cells for Monitoring and Control. IFAC-PapersOnLine. 54(11):67–72.
Metadata
Title
Predicting Electrolyte and Liquidus Temperatures of Aluminium Smelting Cells for Power Modulation Using Dynamic Model
Authors
Choon-Jie Wong
Jie Bao
Maria Skyllas-Kazacos
Barry Welch
Jing Shi
Nadia Ahli
Amal Aljasmi
Mohamed Mahmoud
Mustafa Mustafa
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-50308-5_57

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