Research of Aluminum Reduction Cell Thermal Balanced Intelligent Control System

This paper proposes an intelligence control system of heat balance for aluminum reduction cell and reviews in each period the control technique of aluminum electrolysis at home and abroad. Mutual coupled relations of physical fields such as electric field, magnetic field, flow distribution, thermal field, stress field, concentration field in aluminum reduction cell are analyzed simply. In this system automatic control of furnace temperature and liquidus temperature in aluminum electrolyte are detected in real-time accurately. This control system can reduce the superheat of aluminum reduction cell in a certain range, and reduce production cost of per ton of primary aluminum on maximal degree. Thus, energy consumption and waste is decreased and heat balance in aluminum electrolysis is realized, efficient operations are certified in the product of aluminum electrolysis.

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Diagnosis Method for the Heat Balance State of an Aluminum Reduction Cell Based on Bayesian Network

Metals ◽

10.3390/met10050604 ◽

2020 ◽

Vol 10 (5) ◽

pp. 604

Author(s):

Jiaming Zhu ◽

Jie Li

Keyword(s):

Bayesian Network ◽

Heat Balance ◽

Aluminum Reduction Cell ◽

Conditional Probability Distribution ◽

Important Indicator ◽

Aluminum Reduction ◽

Reduction Cell ◽

Balance State ◽

Diagnosis Method ◽

The Heat Balance

The superheat of an electrolyte is an important indicator of the heat balance state of aluminum reduction cells. In industrial practice, it costs too much to accurately measure the superheat in every cell every day. A common alternative is to calculate the superheat based on additive concentrations in the electrolyte, which has problems of high error and long delay. In this paper, a method to diagnose the heat balance state of an aluminum reduction cell based on Bayesian network is presented, a Bayesian network structure and CPT (conditional probability distribution) were built, and the continuous diagnosis process is presented. This diagnosis method takes important symptoms and factors into account, taking advantage of more useful information instead of only calculated superheat. The application examples show that this method is effective in diagnosing the heat balance state for uncertain and incomplete superheat information.

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The Relevant Technology Research on Heat Balance Control of Aluminum Reduction Cell

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.146-147.1473 ◽

2010 ◽

Vol 146-147 ◽

pp. 1473-1476

Author(s):

Xiang Yang Xia ◽

Jie Li

Keyword(s):

Energy Balance ◽

Heat Balance ◽

Balance Control ◽

Aluminum Reduction Cell ◽

Impact Factors ◽

Electrolyte Temperature ◽

Technology Research ◽

Aluminum Reduction ◽

Reduction Cell ◽

The Impact

Due to the energy balance control of aluminum reduction cell has not solved so far, it analyzes the impact factors on electrolyzer’s heat balance (i.e., electrolyte temperature), and proposes a corresponding method of heat balance control ,which provides relevant measures for aluminium electrolysis industry ,s energy saving.

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