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CFB Alumina Calciners—New and Future Generation Opportunities for Green Field Refineries Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Predicting Instability and Current Efficiency of Industrial Cells

Authors : Patrice Côté, Olivier Martin, Bertrand Allano, Véronique Dassylva-Raymond

Published in: Light Metals 2017

Publisher: Springer International Publishing

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Abstract

New statistical models were developed to predict the behavior of industrial potlines. A first model, based on a multiple linear regression analysis, predicts the instability (cell noise) of P155 potlines and is used as a tool to investigate drifts. An example of the usefulness of such a model is presented. A second model that predicts the current efficiency was built using a similar approach. It is based on 10 years of data from 30 potlines. The non-linearity of the relationship between current efficiency (CE) and anode-cathode-distance (ACD) was investigated and confirmed during the course of this study. These current efficiency and instability models provide new ways to anticipate potline performance and to conduct gap analysis.

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previous chapter Detecting, Identifying and Managing Systematic Potline Issues with Generation 3 Process Control
next chapter Sodium in Aluminium as a Cell Performance Indicator: A Quantitative Framework
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Metadata
Title
Predicting Instability and Current Efficiency of Industrial Cells
Authors
Patrice Côté
Olivier Martin
Bertrand Allano
Véronique Dassylva-Raymond
Copyright Year
2017
Book
Light Metals 2017

Print ISBN: 978-3-319-51540-3

Electronic ISBN: 978-3-319-51541-0

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-51541-0_77

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