The development of the soderberg electrolyzer electromagnetic field’s state monitoring system

Abstract

This study is devoted to improving the economic efficiency of the cell, due to the field of the generated electromagnetic field’s accurate diagnostics. To solve this problem, the authors had developed a hardware-software complex for electromagnetic field diagnostics. This complex includes a measurement device and a software package for data collection and analysis. On the laboratory prototype of the aluminum electrolysis complex, a study was carried out on the formation and structure of the electromagnetic field. A number of experiments have been carried out showing the degree of formation of the electromagnetic field by the anode, the relationship of electromagnetic fields in the inter-anode space has been shown. Based on the results of the studies, conclusions were drawn about the possibility of diagnosing the current state of the anode, determining the direction of rotation of aluminum in the electrolytic cell and estimating the life of the anode and its burnout time.

Research on Capacity Configuration for Green Power Substitution in an Isolated Grid Containing Electrolytic Aluminum

“…The output of photovoltaic power generation is primarily influenced by factors such as solar radiation and ambient temperature. The relationship between its output and these factors is expressed in Equation (2).…”

“…This paper introduces a convergence factor modeled after the normal distribution density function's decay pattern. By altering the value of σ 2 2 , the decay rate of the normal distribution density function can be modified. The improved convergence factor is expressed in Equation (24).…”

“…where a initial is the initial value of a of the convergence factor (in this paper, the initial value of a is taken to be 2), l is the current number of iterations, l max is the maximum number of iterations, while σ 2 1 and σ 2 2 are the convergence factor adjustment parameters. When σ 2 1 is set to 0.08, σ 2 2 is set to 0.0064, as indicated in Figure 6, the value of a regulation of the improved gray wolf algorithm decays slowly in the early stage, which is conducive to the global exploration capability of the algorithm, and decays quickly in the later stage, which can effectively improve the convergence of the algorithm. To more intuitively reflect the advantages of the improved gray wolf optimizer, four test functions were selected, and both the original gray wolf optimizer and the improved gray wolf optimizer were used as controls, in which 1 ( ) y x and 2 ( ) y x were single-peak benchmark functions, and 3 ( ) y x and 4 ( ) y x were multi-peak benchmark functions.…”

“…In areas abundant in wind and solar energy, constructing an isolated network for green power replacement of high-energy-consuming loads, exemplified by aluminum electrolysis [2], is extremely meaningful. It is important to study the construction of isolation networks for green power substitution of high energy-consuming loads, which is an effective strategy to ensure the local consumption of renewable energy, optimize the utilization of these resources, and advance the replacement of green power in energyintensive industries.…”

Prospective Life Cycle Assessment of Biological Methanation in a Trickle-Bed Pilot Plant and a Potential Scale-Up

“…The ecological consequences of various electrolysis technologies have already been studied from a wide range of perspectives [19][20][21][22][23][24][25][26][27][28]. The general focus of previous studies in the field of methanation was mostly on the chemical option, the impact indicator Global Warming Potential, and the operation of plants.…”