Abstract

In the Hall–Héroult aluminum production process, the amount of carbon consumed per ton of aluminum produced is an important metric. Deviations from ideal conditions in the reduction cells contribute to the discrepancy between the theoretical carbon consumption and the actual Net Carbon Consumption (NCC). Previous work from the authors, focused on predicting the net carbon consumption for individual anodes using partial least squares, was based on data collected by an anode-tracking system. In this paper, the importance of each aluminum production step to the NCC is identified and a link to the green anode properties is established. The data collected were analyzed using the sequential multi-block partial least-squares algorithm. The data were split in different blocks, determined by the manufacturing process sequence. The modeling showed that the top three most important blocks were alumina feeding metrics, baked anode properties, and green anode properties. Local green anode homogeneity was defined as resistivity variability metrics, calculated from the green anode resistance measurements. This local green anode homogeneity was found to be greater for anodes with low NCC.

Graphical Abstract

中文翻译：

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铝电解中的净碳消耗：阳极性能和还原池操作变量的影响

摘要

在 Hall-Héroult 铝生产过程中，每生产一吨铝消耗的碳量是一个重要指标。还原池中与理想条件的偏差导致理论碳消耗量与实际净碳消耗量 (NCC) 之间的差异。作者之前的工作重点是使用偏最小二乘法预测单个阳极的净碳消耗，这是基于阳极跟踪系统收集的数据。在本文中，确定了每个铝生产步骤对 NCC 的重要性，并建立了与生阳极特性的联系。使用顺序多块偏最小二乘算法分析收集的数据。数据被分成不同的块，由制造过程顺序决定。建模显示，前三个最重要的块是氧化铝进料指标、烘烤阳极性能和生阳极性能。局部绿色阳极均匀性被定义为电阻率可变性指标，由绿色阳极电阻测量值计算得出。发现这种局部绿色阳极均匀性对于具有低 NCC 的阳极来说更大。

图形概要