In order to optimize the operation of dust-settling chambers of steelmaking furnace emission purification systems and increase the overall efficiency of the cleaning system, the movement of gas-air flows and dust particles of different diameters inside dust-collecting chambers was studied using the SolidWorks software product with the FlowSimulation application, which allowed us to investigate the influence of a number of factors, for example, fractional composition, the condition of the working surfaces of chambers, on the movement of gas-air the flow.

Keywords: steelmaking furnace, gas-air flow, dust-settling chamber, cleaning efficiency, dust, dispersed composition, modeling

The transport strategy of the Russian Federation, taking into account the specific features of the country's transport system, requires the use of transport modeling when solving problems of carbon neutrality. The transport model solves multifaceted problems, including the forecast and assessment of greenhouse gas emissions. The main principles of developing transport models are considered. A comparison is made of the NIIAT and EEA/COPERT methods most often used in calculating greenhouse gas emissions using transport models. The main requirements for the results of calculations using a mathematical model of transport flows are formulated.

Keywords: carbon neutrality, transport modeling, carbon neutrality, greenhouse gases, specific emissions, calculation scenario

The main designs of dust settling chambers of metallurgical enterprises are considered, an analysis is given from the point of view of the type of metallurgical furnaces, their power, and schemes for removing gases from them to gas cleaning equipment. The movement of gas flow in chambers of various designs was studied using the SolidWorks software product with the FlowSimulation application, which made it possible to establish the behavior of the gas-air flow depending on the design of the dust settling chamber.

Keywords: dust settling chambers, steel melting furnace, solid particles, modeling, gas-air flow, bag filter, gas exhaust path

The article is devoted to research of thermofluctuation processes of insulating materials of power cable lines (SCR) of electric power systems. It was established that an artificial neural network (ANN) can be used to compile a forecast of the temperature regime of a current-carrying core with an accuracy of 2.5% of the actual value of the core temperature. The comparison of the predicted values ​​with the actual ones allows us to talk about the adequacy of the selected network model and its applicability in practice for reliable operation of the cable system of power supply to consumers. The development of an intelligent system for predicting the temperature of the core SCR contributes to the planning of the operating modes of the power grid in order to increase the reliability and energy efficiency of their interaction with the integrated power system.

Keywords: Neural networks, thermofluctuation processes, insulation materials, neural network architecture

The article describes the study of fine dust at the stage of packing and packaging of particulate material. Attention is given to fine particles, which is PM10 and PM 2.5, that have a negative impact on human health in the process of packaging chemicals.The object of the study is the sodium salt of naphthalene-2-sulfonic acid, which is the starting crude in the chemical industry and organic synthesis.As a result of the sedimentation analysis, the sizes of the particles deposited in the experimental setup were determined and, based on the data obtained, the particle size of dust was formulated depending on the settling time.The results obtained are used in the engineering of aspiration systems in industrial plants.

Keywords: fine particles, chemical dust, sedimentometry, PM10, PM2.5, particle size distribution, naphthalene-2-sulfonic acid sodium salt