Problems of analysis of thermalphysic processes in a reaction zone of electrothermal reactor

Panchenko, S. V.; Дли, М. И.; Бобков, В. И.; Panchenko, D. S.

doi:10.17580/nfm.2017.01.08

Cited by 4 publications

(3 citation statements)

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“…where J = the number of the potential sources for the heat recuperation, E 1 j = all the energy that can be reused from the jth source, E 2 j = energy of the jth source that is used at the current time; C j = the unit cost of the energy, and C j d = the cost of additional solutions on construction optimization of the jth source. Due to constraint fulfillment in CETS, presented in the form of inequalities, when optimizing efficiency criterion (1), high-quality implementation of chemical power engineering processes is achieved by reducing the return part, which ensures resource savings [15,16].…”

Section: Methodsmentioning

confidence: 99%

“…Resource consumption optimization is an important condition for ensuring the economic efficiency of various technological systems [17][18][19][20][21]. The optimization of energy and resource consumption in individual CETS units for the production of phosphorus is the subject of works by a number of authors, e.g., [5,15,16]. However, the solution for the criterion (2) minimization based on the application of classical mathematical approaches to the entire CETS, but not its individual parts, leads to the problem of inconsistency in the description and limitations of the models of individual units.…”

Section: Methodsmentioning

confidence: 99%

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Energy and Resource Efficiency in Apatite-Nepheline Ore Waste Processing Using the Digital Twin Approach

et al. 2020

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The paper presents a structure of the digital environment as an integral part of the “digital twin” technology, and stipulates the research to be carried out towards an energy and recourse efficiency technology assessment of phosphorus production from apatite-nepheline ore waste. The problem with their processing is acute in the regions of the Russian Arctic shelf, where a large number of mining and processing plants are concentrated; therefore, the study and creation of energy-efficient systems for ore waste disposal is an urgent scientific problem. The subject of the study is the infoware for monitoring phosphorus production. The applied study methods are based on systems theory and system analysis, technical cybernetics, machine learning technologies as well as numerical experiments. The usage of “digital twin” elements to increase the energy and resource efficiency of phosphorus production is determined by the desire to minimize the costs of production modernization by introducing advanced algorithms and computer architectures. The algorithmic part of the proposed tools for energy and resource efficiency optimization is based on the deep neural network apparatus and a previously developed mathematical description of the thermophysical, thermodynamic, chemical, and hydrodynamic processes occurring in the phosphorus production system. The ensemble application of deep neural networks allows for multichannel control over the phosphorus technology process and the implementation of continuous additional training for the networks during the technological system operation, creating a high-precision digital copy, which is used to determine control actions and optimize energy and resource consumption. Algorithmic and software elements are developed for the digital environment, and the results of simulation experiments are presented. The main contribution of the conducted research consists of the proposed structure for technological information processing to optimize the phosphorus production system according to the criteria of energy and resource efficiency, as well as the developed software that implements the optimization parameters of this system.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Energy and Resource Efficiency in Apatite-Nepheline Ore Waste Processing Using the Digital Twin Approach

et al. 2020

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“…imulation of processes in electrothermal ore-smelting reactors for manufacturing non-ferrous metal alloys allows one to determine conditions for optimal functioning and cost reduction per unit of output [1][2][3][4][5][6][7][8]. There are not so many works that take the peculiarities of the physics of processes occurring in the reactors of this type into account [9][10][11][12].…”

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Simulation and algorithmization of analysis of heat and mass transfer processes in chemical electrothermy units in non-ferrous metallurgy

Pancnehko¹,

Dli²,

Bykov³

2022

nfm

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Proposed is an algorithm for calculating heat and mass transfer in electrothermal ore recovery processes in non-ferrous metallurgy. To implement the algorithm, the finite element method was used, which allows to take into account complex configuration of the internal volume of the reactor. A finite element grid automatic construction algorithm was used. An iterative algorithm for the finite element equations implementation with the matrix width optimization and the use of symmetry properties is proposed. A set of programs that allows to calculate operating modes of electrothermal ore-smelting reactors of any design, including those used in the smelting of non-ferrous metal alloys, has been developed. The interface of the programs is user-friendly. The multi-document interface provides visualization of the calculation results in the form of isolines of temperature fields and velocity vectors.

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Software for Efficient Chemical Technologies for Processing of Apatite–Nepheline Ore Waste

et al. 2021

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Problems of analysis of thermalphysic processes in a reaction zone of electrothermal reactor

Cited by 4 publications

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Energy and Resource Efficiency in Apatite-Nepheline Ore Waste Processing Using the Digital Twin Approach

Energy and Resource Efficiency in Apatite-Nepheline Ore Waste Processing Using the Digital Twin Approach

Simulation and algorithmization of analysis of heat and mass transfer processes in chemical electrothermy units in non-ferrous metallurgy

Software for Efficient Chemical Technologies for Processing of Apatite–Nepheline Ore Waste

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