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electricity consumption forecasting

Energy industry
  • Date submitted
    2023-10-29
  • Date accepted
    2024-04-08
  • Date published
    2025-02-25

Evaluation of the impact of the distance determination function on the results of optimization of the geographical placement of renewable energy sources-based generation using a metaheuristic algorithm

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Since the United Power System was created electrical supply of remote and hard-to-reach areas remains one of the topical issues for the power industry of Russia. Nowadays, usage of various renewable energy sources to supply electricity at remote areas has become feasible alternative to usage of diesel-based generation. It becomes more suitable with world decarbonization trends, the doctrine of energy security of Russia directives, and equipment cost decreasing for renewable energy sources-based power plants construction. Geological exploration is usually conducted at remote territories, where the centralized electrical supply can not be realized. Placement of large capacity renewable energy sources-based generation at the areas of geological expeditions looks perspective due to development of industrial clusters and residential consumers of electrical energy at those territories later on. Various metaheuristic methods are used to solve the task of optimal renewable energy sources-based generation geographical placement. The efficiency of metaheuristics depends on proper tuning of that methods hyperparameters, and high quality of big amount of meteorological and climatic data. The research of the effects of the calculation methods defining distance between agents of the algorithm on the optimization of renewable generation placement results is presented in this article. Two methods were studied: Euclidean distance and haversine distance. There were two cases considered to evaluate the effects of distance calculation method change. The first one was for a photovoltaic power plant with installed capacity of 45 MW placement at the Vagaiskii district of the Tyumen region. The second one was for a wind power plant with installed capacity of 25 MW at the Tungokochenskii district of the Trans-Baikal territory. The obtained results show low effects of distance calculation method change at average but the importance of its proper choose in case of wind power optimal placement, especially for local optima’s identification.

How to cite: Bramm A.M., Eroshenko S.A. Evaluation of the impact of the distance determination function on the results of optimization of the geographical placement of renewable energy sources-based generation using a metaheuristic algorithm // Journal of Mining Institute. 2025. Vol. 271 . p. 141-153. EDN JSNZWK
Energy industry
  • Date submitted
    2023-11-10
  • Date accepted
    2024-06-03
  • Date published
    2025-02-25

Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations

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The objective of this study is to enhance user trust in electricity consumption forecasting systems for mining enterprises by applying explainable artificial intelligence methods that provide not only forecasts but also their justifications. The research object comprises a complex of mines and ore processing plants of a company purchasing electricity on the wholesale electricity and power market. Hourly electricity consumption data for two years, schedules of planned repairs and equipment shutdowns, and meteorological data were utilized. Ensemble decision trees were applied for time series forecasting, and an analysis of the impact of various factors on forecasting accuracy was conducted. An algorithm for interpreting forecast results using the SHapley Additive exPlanation method was proposed. The mean absolute percentage error was 7.84 % with consideration of meteorological factors, 7.41 % with consideration of meteorological factors and a load plan formulated by an expert, and the expert's forecast error was 9.85 %. The results indicate that the increased accuracy of electricity consumption forecasting, considering additional factors, further improves when combining machine learning methods with expert evaluation. The development of such a system is only feasible using explainable artificial intelligence models.

How to cite: Matrenin P.V., Stepanova A.I. Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations // Journal of Mining Institute. 2025. Vol. 271 . p. 154-167. EDN DEFRIP
Energy industry
  • Date submitted
    2024-06-12
  • Date accepted
    2024-07-18
  • Date published
    2024-07-26

Development of parameters for an industry-specific methodology for calculating the electric energy storage system for gas industry facilities

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The issue of determining the main parameters of electric energy storage systems – power and energy intensity – is being considered, the determination of which is a fundamentally important task when introducing such devices into the power supply systems of enterprises for both technical (technological) and economic reasons. The work analyzes problems that can be solved by installing electricity storage systems at gas industry facilities. An industry-wide methodology has been developed for calculating the parameters of an electricity storage system based on traditional methods and methods aimed at minimizing the standardized cost of electricity with adaptation to the conditions of the gas industry. A distinctive feature of the presented methodology is the ability to determine the power and energy intensity of electricity storage systems when performing several functions. The methodology was tested at a typical gas industry facility – the Yarynskaya compressor station of OOO Gazprom Transgaz Ukhta, a characteristic feature of which is an autonomous power supply system. An example is given of calculating the electricity storage normalized cost using an improved LCOS indicator, which takes into account the effect of changing the fill factor of the electrical load schedule on the amount of gas consumption by a power plant for its own needs. To confirm the economic efficiency of introducing electricity storage systems calculated using the above methodology, calculations of the integral effect, net present value and efficiency index are presented.

How to cite: Tokarev I.S. Development of parameters for an industry-specific methodology for calculating the electric energy storage system for gas industry facilities // Journal of Mining Institute. 2024. p. EDN UIZSOQ
Geotechnical Engineering and Engineering Geology
  • Date submitted
    2023-11-27
  • Date accepted
    2023-12-27
  • Date published
    2024-02-29

Physico-chemical aspects and carbon footprint of hydrogen production from water and hydrocarbons

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Physico-chemical aspects determine the efficiency and competitiveness of hydrogen production technologies. The indicator of water consumption is especially relevant, since water is one of the main sources of hydrogen in almost all methods of its production. The article analyzes comparative water consumption indicators for various technologies based on published research and actual data from production plants. The volume of water consumption depends on the quality of the source water, which should be taken into account when implementing hydrogen projects in order to minimize the negative impact on the environment. Based on the operating industrial plant, the material balance of hydrogen production by steam reforming was demonstrated, which made it possible to determine the proportion of hydrogen (48.88 %) obtained from water. Currently, the carbon footprint indicator is becoming more important, reflecting greenhouse gas emissions throughout the production chain. According to the results of the total greenhouse gas emissions assessment for hydrogen production by steam reforming (about 10.03 kg CO2-eq/kg H2), the carbon footprint of hydrogen from water (4.2-4.5 kg CO2-eq/kg H2) and hydrogen from methane (15.4-15.7 kg CO2-eq/kg H2) has been determined. Consequently, almost half of the hydrogen produced by steam reforming is produced from water, corresponds to the indicators of “low-carbon” hydrogen and can be considered as “renewable” hydrogen. To make management decisions, an objective assessment in terms of energy and water costs is necessary based on a system analysis by the development of hydrogen energy and the growth of global hydrogen production. The impact of these indicators on the water cycle and global water resources will increase.

How to cite: Maksimov A.L., Ishkov A.G., Pimenov A.A., Romanov K.V., Mikhailov A.M., Koloshkin E.A. Physico-chemical aspects and carbon footprint of hydrogen production from water and hydrocarbons // Journal of Mining Institute. 2024. Vol. 265 . p. 87-94. EDN HWCPDC
Geotechnical Engineering and Engineering Geology
  • Date submitted
    2023-04-10
  • Date accepted
    2024-12-27
  • Date published
    2024-04-25

Optimization of specific energy consumption for rock crushing by explosion at deposits with complex geological structure

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The selection of efficient drilling and blasting technology to achieve the required particle size distribution of blasted rock mass and reduce ore dilution is directly related to the accurate definition of rock mass properties. The zoning of the rock massif by its hardness, drillability and blastability does not consider the variability of the geological structure of the block for blasting, resulting in an overestimated specific consumption of explosives. The decision of this task is particularly urgent for enterprises developing deposits with a high degree of variability of geological structure, for example, at alluvial deposits. Explosives overconsumption causes non-optimal granulometric composition of the blasted rock mass for the given conditions and mining technology. It is required to define physical and mechanical properties of rocks at deposits with complex geological structure at each block prepared for blasting. The correlation between the physical and mechanical properties of these rocks and drilling parameters should be used for calculation. The relation determined by the developed method was verified in industrial conditions, and the granulometric composition of the blasted rock mass was measured by an indirect method based on excavator productivity. The results demonstrated an increase in excavation productivity, thus indicating the accuracy of given approach to the task of identifying the rocks of the blasted block.

How to cite: Vinogradov Y.I., Khokhlov S.V., Zigangirov R.R., Miftakhov A.A., Suvorov Y.I. Optimization of specific energy consumption for rock crushing by explosion at deposits with complex geological structure // Journal of Mining Institute. 2024. Vol. 266 . p. 231-245. EDN RUUFNM
Geotechnical Engineering and Engineering Geology
  • Date submitted
    2023-07-20
  • Date accepted
    2023-10-25
  • Date published
    2024-04-25

Directions in the technological development of aluminium pots

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Directions for the technical and technological development of aluminium industry, existing and promising projects to reduce the energy consumption and the environmental impact are analyzed. The active participation of the state in the organization of financial instruments for the ecological reconstruction of obsolete production facilities is discussed. In spite of the fact that the technology of aluminium pots is developed towards the increase of a single capacity, but with limited potential of reducing energy consumption and greenhouse gases emission, the possibilities for the increase of specific output are practically non-existent. Therefore, such projects like pots, equipped with inert anodes and drained cathodes arise and are under development, the successful completion of which is unlikely after multi-year researches and pilot tests. To continue the works related to inert anodes the decisive answer about the industrial safety of local sources of the massive oxygen emissions to atmosphere is required from competent entities. The drained cathode project, after discussing the existing problems, seems unfeasible. As opposed to the existing technology the development of the pots with vertical electrodes offers great opportunities to the designs of inert anodes and drained cathodes. Positive results of using shaped electrodes, homogenizing their surface and developing the methods for the synthesis of composite cathodes directly during the electrolytic process were obtained in laboratory conditions. It is expected that the combination of these trends and the successive dimensional scaling shall allow using the vertical electrodes at the next level for the fold increase of specific pot capacity and for the decrease of energy consumption and greenhouse gas emissions.

How to cite: Gorlanov Е.S., Leontev L.I. Directions in the technological development of aluminium pots // Journal of Mining Institute. 2024. Vol. 266 . p. 246-259. EDN PYSEVM
Geotechnical Engineering and Engineering Geology
  • Date submitted
    2022-05-20
  • Date accepted
    2023-04-03
  • Date published
    2024-02-29

Impact of carbon dioxide on the main geotechnical quality criteria and preparation cost of cemented paste backfill

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There is a global upsurge in the use of cemented paste backfill (CPB) for various mining functions. However, the cost of the Portland cement binder is prohibitive, thus warranting strategies to reduce cement usage without overly diminishing the CPB quality. Since carbon dioxide is used for patented sand moulding processes, this study is premised on that physicochemical ability of CO2 to enhance the curing of consolidated inorganic materials. It evaluated the impact of carbon dioxide on the uniaxial compressive strength UCS and preparation cost of CPB standard samples (ASTM C109). The preparation cost was delimited to the purchase cost of the Portland cement. The backfill material was silica sand tailings with 4.5 wt.% Portland cement binder and a water-cement ratio of 7.6. Distilled water of pH 5.4 was used for the control samples while variable amounts of carbon dioxide were dissolved in distilled water to generate carbonated mixing water with pH values of 3.8; 4 and 4.2. The lower the carbonated water pH, the higher is the CO2 concentration. UCS tests were conducted on the samples after curing for 3, 7, 28, and 90 days. There was an observable increase in the UCSs and reduction in curing time with increasing carbon dioxide. Samples prepared with carbonated water of pH 3.8 had almost double the strength of those prepared with pure distilled water of pH 5.4, implying that more dissolved CO2 corresponds to higher CPB strength. This is supported by the trendline equations for the graphical simulation of strength on curing time. Thus, CPB with much less binder can be expected to attain the requisite UCS if carbon dioxide is incorporated. The average reduction in Portland cement consumption was 0.61 %, which translates to a cost saving of the same percentage points. If calculated over the operational life of a mine, this is a massive saving of millions of dollars.

How to cite: Bukasa P.M., Mashingaidze M.M., Simasiku S.L. Impact of carbon dioxide on the main geotechnical quality criteria and preparation cost of cemented paste backfill // Journal of Mining Institute. 2024. Vol. 265 . p. 45-54. EDN ZBZTKN
Energy industry
  • Date submitted
    2021-05-12
  • Date accepted
    2022-05-11
  • Date published
    2023-07-19

Application of the cybernetic approach to price-dependent demand response for underground mining enterprise electricity consumption

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The article considers a cybernetic model for the price-dependent demand response (DR) consumed by an underground mining enterprise (UGME), in particular, the main fan unit (MFU). A scheme of the model for managing the energy consumption of a MFU in the DR mode and the implementation of the cybernetic approach to the DR based on the IoT platform are proposed. The main functional requirements and the algorithm of the platform operation are described, the interaction of the platform with the UGME digital model simulator, on which the processes associated with the implementation of the technological process of ventilation and electricity demand response will be simulated in advance, is shown. The results of modeling the reduction in the load on the MFU of a mining enterprise for the day ahead are given. The presented solution makes it possible to determine in advance the necessary power consumption for the operation of the main power supply unit, manage its operation in an energy-saving mode and take into account the predicted changes in the planned one (e.g., when men hoisting along an air shaft) and unscheduled (e.g., when changing outdoor air parameters) modes. The results of the study can be used to reduce the cost of UGME without compromising the safety of technological processes, both through the implementation of energy-saving technical, technological or other measures, and with the participation of enterprises in the DR market. The proposed model ensures a guaranteed receipt of financial compensation for the UGME due to a reasonable change in the power consumption profile of the MFU during the hours of high demand for electricity, set by the system operator of the Unified Energy System.

How to cite: Nikolaev A.V., Vöth S., Kychkin A.V. Application of the cybernetic approach to price-dependent demand response for underground mining enterprise electricity consumption // Journal of Mining Institute. 2023. Vol. 261 . p. 403-414. DOI: 10.31897/PMI.2022.33
Energy industry
  • Date submitted
    2023-03-14
  • Date accepted
    2023-06-20
  • Date published
    2023-07-19

Forecasting planned electricity consumption for the united power system using machine learning

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The paper presents the results of studies of the predictive models development based on retrospective data on planned electricity consumption in the region with a significant share of enterprises in the mineral resource complex. Since the energy intensity of the industry remains quite high, the task of rationalizing the consumption of electricity is relevant. One of the ways to improve control accuracy when planning energy costs is to forecast electrical loads. Despite the large number of scientific papers on the topic of electricity consumption forecasting, this problem remains relevant due to the changing requirements of the wholesale electricity and power market to the accuracy of forecasts. Therefore, the purpose of this study is to support management decisions in the process of planning the volume of electricity consumption. To realize this, it is necessary to create a predictive model and determine the prospective power consumption of the power system. For this purpose, the collection and analysis of initial data, their preprocessing, selection of features, creation of models, and their optimization were carried out. The created models are based on historical data on planned power consumption, power system performance (frequency), as well as meteorological data. The research methods were: ensemble methods of machine learning (random forest, gradient boosting algorithms, such as XGBoost and CatBoost) and a long short-term memory recurrent neural network model (LSTM). The models obtained as a result of the conducted studies allow creating short-term forecasts of power consumption with a fairly high precision (for a period from one day to a week). The use of models based on gradient boosting algorithms and neural network models made it possible to obtain a forecast with an error of less than 1 %, which makes it possible to recommend the models described in the paper for use in forecasting the planned electricity power consumption of united power systems.

How to cite: Klyuev R.V., Morgoeva A.D., Gavrina O.A., Bosikov I.I., Morgoev I.D. Forecasting planned electricity consumption for the united power system using machine learning // Journal of Mining Institute. 2023. Vol. 261 . p. 392-402. EDN FJGZTV
Energy industry
  • Date submitted
    2023-01-12
  • Date accepted
    2023-06-20
  • Date published
    2023-07-19

Improvement of energy efficiency of ore-thermal furnaces in smelting of alumosilicic raw materials

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The issues of energy saving in pyrometallurgical production during processing of mineral raw materials in ore-thermal furnaces are particularly important for the development of new energy-efficient technologies. The reduction of the specific power consumption during melting at different stages of heating and melting of charge materials when modeling is related to obtaining kinetic curves in the process of kyanite concentrate regeneration in polythermal conditions. Based on practical data of carbo-thermal reduction the mathematical modeling of reduction processes from alumosilicic raw materials – kyanite was carried out. In this work, the nonisothermal method based on a constant rate of charge heating (i.e. a linear dependence between time and temperature) was used for the reduction of kyanite charge, which saves electrical energy. The experiments were carried out on a high-temperature unit with a heater placed in a carbon-graphite crucible. Based on the obtained kinetic dependences of nonisothermal heating of enriched kyanite concentrates in plasma heating conditions we obtained a number of kinetic anamorphoses of the linear form which point to the possibility of describing the reaction rate using the modified Kolmogorov – Erofeev equation for given heating conditions and within a narrow temperature range. The complex of mathematical modeling makes it possible to create a control algorithm of technological process of reduction of kyanite concentrate to a metallized state within the specified temperature range for the full flow of reaction exchange and to reduce the specific power consumption by 15-20 %. With the help of the received kinetic dependences, taking into account the thermodynamics of processes and current state of the art it is possible to create a universal thermal unit for the optimal carbothermal reduction of charge to a metallized state (alloy) with minimum power inputs compared to existing technologies.

How to cite: Bazhin V.Y., Ustinova Y.V., Fedorov S.N., Shalabi M.E.K. Improvement of energy efficiency of ore-thermal furnaces in smelting of alumosilicic raw materials // Journal of Mining Institute. 2023. Vol. 261 . p. 384-391. EDN RTQXSE
Energy industry
  • Date submitted
    2021-03-11
  • Date accepted
    2021-04-12
  • Date published
    2022-04-29

Operation mode selection algorithm development of a wind-diesel power plant supply complex

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The power supply system is affected by external disturbances, so it should be stable and operate normally in compliance with power quality standards. The power supply system goes into abnormal modes operation when, after a short-term failure or disturbance, it does not restore normal mode. The electrical complex, which includes a wind power plant, as well as a battery and a diesel generator connected in parallel, is able to provide reliable power supply to consumers which meets the power quality indicators. The article develops an algorithm that is implemented by an automatic control system to select the operating mode depending on climatic factors (wind) and the forecast of energy consumption for the day ahead. Forecast data is selected based on the choice of the methods, which will have the smallest forecast error. It is concluded that if the energy consumption forecast data is added to the automatic control system, then it will be possible to increase the efficiency of the power supply complex. In the developed algorithm the verification of normal and abnormal modes of operation is considered based on the stability theory. The criteria for assessing the normal mode of operation are identified, as well as the indicators of the object’s load schedules for assessing the load of power supply sources and the quality standards for power supply to consumers for ranking the load by priority under critical operating conditions and restoring normal operation are considered.

How to cite: Shklyarskiy Y.E., Batueva D.E. Operation mode selection algorithm development of a wind-diesel power plant supply complex // Journal of Mining Institute. 2022. Vol. 253 . p. 115-126. DOI: 10.31897/PMI.2022.7
Mining
  • Date submitted
    2020-06-16
  • Date accepted
    2021-03-29
  • Date published
    2021-09-20

Empirical regularities investigation of rock mass discharge by explosion on the free surface of a pit bench

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Minimizing the discharge of blasted rock mass into the developed space of the pit is a very relevant area for study, as it allows to increase the processability of work and reduce the cost of mining. The article presents the results of experimental industrial explosions, during which the study of this issue was conducted. The main purpose of the work was to establish the key factors affecting the volume of rock mass discharge to the pit haulage berm. During the analysis of the world experience of research on this topic, the key factors affecting the formation of collapse and discharge – natural and technological – are identified. The method of conducting experiments and collecting data for analyzing the influence of technological parameters of location, charging and initiation of wells on the volume of rock mass discharge is described. It is established that the main discharge to the pit haulage berm is formed by the volume of rock mass limited by the prism of the slope angle. With a sufficient rock mass displacement from the edge of the bench crest towards the center of the block, only the wells of the 1st and 2nd rows participate in the discharge formation. Empirical dependences of the total volume of rock mass discharge on the length of the block along the bench crest, the specific consumption of explosives, the size of a rock piece P 50 and the rate of rock breaking are obtained. The obtained results can be used to design the parameters of the drilling and blasting operations (DBO), as well as to predict and evaluate the possible consequences of a mass explosion in similar mining and geological conditions.

How to cite: Alenichev I.A., Rakhmanov R.A. Empirical regularities investigation of rock mass discharge by explosion on the free surface of a pit bench // Journal of Mining Institute. 2021. Vol. 249 . p. 334-341. DOI: 10.31897/PMI.2021.3.2
Oil and gas
  • Date submitted
    2020-06-19
  • Date accepted
    2020-10-06
  • Date published
    2020-11-24

Practice of using the magnetic treatment devices to intensify the processes of primary oil treating

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During the primary treatment of oil, gas and water, complications arise associated with the presence of hard water-oil emulsions, which cause an increase in fluid pressure in the gathering systems, pipeline damage, as well as difficulties in gas separation and preliminary water discharge at the preliminary discharge unit (PRU). Additional problems arise during transportation of highly paraffinic oils associated with the crystallization of paraffin in the flow path of the oilfield equipment and on the inner surface of pipes, leading to a drop in the productivity of pipelines. Article discusses the technology of magnetic-reagent treatment of water-oil media, which allows intensifying the processes of primary oil treatment at the facilities of its production. Bench and pilot tests have shown the ability of the magnetic field to accelerate oil demulsification processes, increasing the percentage of separated water during subsequent settling, and to reduce asphalt-resin-paraffin deposits (ARPD) on the inner surface of oil and gas field equipment. Mechanism of the magnetic field effect on water-oil media is described. Effect of treatment on the integrity of the armour shells of oil-water emulsions was studied. Various modes of magnetic treatment have been investigated with evaluation of its effectiveness. It is shown that the best effect is achieved with the combined use of reagents and a magnetic field. Synergistic effect is observed, which consists in increasing their effectiveness. This made it possible to conclude that this method can be applied to reduce the consumption of reagents used in oil production while maintaining the treatment efficiency.

How to cite: Golubev I.A., Golubev A.V., Laptev А.B. Practice of using the magnetic treatment devices to intensify the processes of primary oil treating // Journal of Mining Institute. 2020. Vol. 245 . p. 554-560. DOI: 10.31897/PMI.2020.5.7
Electromechanics and mechanical engineering
  • Date submitted
    2020-01-09
  • Date accepted
    2020-01-26
  • Date published
    2020-02-25

Mining excavator working equipment load forecasting according to a fuzzy-logistic model

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Due to the fact that the loads occurring in the working equipment of mining excavators are determined by a large number of random factors that are difficult to represent by analytical formulas, for estimating and predicting loads the models must be introduced using non-standard approaches. In this study, we used the methodology of the theory of fuzzy logic and fuzzy pluralities, which allows to overcome the difficulties associated with the incompleteness and vagueness of the data in assessing and predicting the forces encountered in the working equipment of mining excavators, as well as with the qualitative nature of these data. As a result of computer simulation in the fuzzyTECH environment, data comparable with experimental studies were obtained to determine the level of loading of the main elements of the working equipment of mining excavators. Based on a representative sample, a statistical analysis of the data was performed, as a result of which the equation of linear multiple stress regression in the handle of mining excavators was obtained, which allows to make an accurate forecast of the loading of the working equipment of the excavator.

How to cite: Velikanov V.S. Mining excavator working equipment load forecasting according to a fuzzy-logistic model // Journal of Mining Institute. 2020. Vol. 241 . p. 29-36. DOI: 10.31897/PMI.2020.1.29
Electromechanics and mechanical engineering
  • Date submitted
    2019-05-24
  • Date accepted
    2019-07-15
  • Date published
    2019-10-23

Effective Power and Speed of Mining Dump Trucks in Fuel Economy Mode

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Existing methods for determining the effective power, based on the calculation of the average indicator operation of the engine during the piston stroke, do not take into account the change in thermodynamic parameters and the polytropic operation of the engine, the value of which depends on the polytropic efficiency of the duty cycle. This is the reason that the calculation of the effective power leads to some error – the margin of the engine features. The identification of this stock allows us to review the entire line of dump trucks in the direction of increasing their pass- port effective capacity, which will lead to a reduction in capital purchase costs due to the choice of a previously un- derestimated and cheaper option, as well as a reduction in current operating costs due to a decrease in the specific fuel consumption rate. Taking into account the stochastic nature of the transport process and assessing the influence of all external and internal factors when calculating the rational mode of operation of a mining truck can further reduce specific fuel consumption by choosing the rational speed of its movement in loaded and empty directions.

How to cite: Alexandrov V.I., Vasileva M.A., Koptev V.Y. Effective Power and Speed of Mining Dump Trucks in Fuel Economy Mode // Journal of Mining Institute. 2019. Vol. 239 . p. 556-563. DOI: 10.31897/PMI.2019.5.556
Mining
  • Date submitted
    2018-12-25
  • Date accepted
    2019-03-22
  • Date published
    2019-06-25

Technology of blasting of strong valuable ores with ring borehole pattern

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The ores of non-ferrous and precious metals, represented by hard rocks, has a peculiar feature, that is the effect of segregation, that is the tendency of ore minerals to break down into small size classes, which in the underground mining method accumulate in significant quantities on uneven surface of bottom layers and subsequently are lost. When mining valuable non-metallic materials, there is an acute problem of overgrinding, when fines do not meet the requirements for the quality of the final product. It is well known that the granulometric composition of the ore depends mainly on the technology and parameters of drilling and blasting operations. In underground mining of ore deposits, the main method of drilling and blasting is the borehole blasting with continuous construction charges with the ring pattern. The main drawbacks of the method are: uneven distribution of the explosive along the plane of the broken layer and the expenditure of a significant part of the blast energy of the charges of the continuous structure on the blasting effect, necessarily associated with over-grinding the ore. To solve these problems, the authors proposed a blasting technology, the essence of which lies in the fact that the uniform distribution of the energy concentration of explosives in the broken layer is ensured by the dispersion of charges by air gaps and a certain order of their placement in the ring plane. For the practical implementation of the technology, a method has been developed to form dispersed charges in deep boreholes that do not require a significant increase in labor costs and additional special means. A special technique has been created that allows defining the dispersion parameters, ensuring the sustained specific consumption of explosives over the entire plane of the broken layer. Experimental studies of the proposed technology in the natural conditions of an underground mine for the extraction of valuable granulated quartz were carried out. As a result, the possibility of a significant reduction in the specific consumption of explosives (by 42 %) has been established. At the same time, the yield of the commercial product increased by 10.7 % in total, and the yield of the fraction most favorable for further processing increased by 33.7 %.

How to cite: Sokolov I.V., Smirnov A.A., Rozhkov A.A. Technology of blasting of strong valuable ores with ring borehole pattern // Journal of Mining Institute. 2019. Vol. 237 . p. 285-291. DOI: 10.31897/PMI.2019.3.291
Electromechanics and mechanical engineering
  • Date submitted
    2018-11-13
  • Date accepted
    2019-01-23
  • Date published
    2019-04-23

Application of automation systems for monitoring and energy efficiency accounting indicators of mining enterprises compressor facility operation

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The balance of electricity consumption a significant part is occupied by the production of compressed air at the mining enterprises. Many compressor stations of enterprises are equipped with automated parameter management systems that allow reliable, uninterrupted and safe operation of the compressor facilities. But the majority of automation systems at compressor stations do not perform the function of monitoring the energy efficiency indicators of the operation of a compressor station. The article discusses the issue of including compressed air flow sensors (flow meters) in an automated control system of a compressor station, which allows you to control the production of compressed air and the consumption of electrical energy for its production. Monitoring and recording of these parameters makes it possible, using microprocessor technology, to control one of the main indicators of energy efficiency – the specific energy consumption for producing one cubic meter of compressed air, determine how efficiently the compressor station works, and take appropriate measures to reduce specific energy consumption in time. . The use of additional functions of automated control and monitoring systems will allow the development and application of energy-saving measures aimed at improving the energy efficiency of the enterprise, which will lead to a reduction in the cost of finished products and increase their competitiveness

How to cite: Ugolnikov A.V., Makarov N.V. Application of automation systems for monitoring and energy efficiency accounting indicators of mining enterprises compressor facility operation // Journal of Mining Institute. 2019. Vol. 236 . p. 245-248. DOI: 10.31897/PMI.2019.2.245
Mining
  • Date submitted
    2016-09-04
  • Date accepted
    2016-11-14
  • Date published
    2017-02-22

Methodology of reducing rock bump hazard during room and rillar mining of North Ural deep bauxite deposits

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The article describes practical experience of using room and pillar mining (RAPM) under conditions of deep horizons and dynamic overburden pressure. It was identified that methods of rock pressure control efficient at high horizons do not meet safety requirements when working at existing depths, that is explained by changes in geodynamic processes during mining. With deeper depth, the geodynamic processes become more intensive and number of pillar and roof failures increase. When working at 800 m the breakage of mine structures became massive and unpredictable, which paused a question of development and implementation of tools for compliance assessment of used elements of RAPM and mining, geological, technical and geodynamic conditions of North Ural bauxite deposits and further development of guidelines for safe mining under conditions of deep horizons and dynamic rock pressure. It describes reasons of mine structure failures in workings depending on natural and man-caused factors, determines possible hazards and objects of geomechanic support. It also includes compliance assessment of tools used for calculations of RAPM structures, forecast and measures for rock tectonic bursts at mines of OAO “Sevuralboksitruda” (SUBR). It describes modernization and development of new geomechanic support of RAPM considering natural and technogenic hazards. The article presents results of experimental testing of new parameters of RAPM construction elements of SUBR mines. It has data on industrial implementation of developed regulatory and guideline documents at these mines for identification of valid parameters of RAPM elements at deep depths.

How to cite: Sidorov D.V. Methodology of reducing rock bump hazard during room and rillar mining of North Ural deep bauxite deposits // Journal of Mining Institute. 2017. Vol. 223 . p. 58-69. DOI: 10.18454/PMI.2017.1.58
Electromechanics and mechanical engineering
  • Date submitted
    2015-08-25
  • Date accepted
    2015-10-01
  • Date published
    2016-04-22

Vibrodiagnostics of the technical state slurry pumps

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Analysis of the work hydrotransport systems in processing plants shows that the efficiency of this type transport does not match its technical capabilities: the high laboriousness involved in the operation of the equipment, high hydroabrasive wear of slurry pumps and pipelines, low working life pumps, high metal consumption and energy. The main reason for the lack of effectiveness of hydraulic transport is hydroabrasive wear impellers of slurry pumps, causing rising levels of vibra-tion pumps, reducing the pressure characteristics, general technical state of hydrotransport system and as a result - low pumps life, not exceeding 500 hours of continuous operation. In paper, it is shown that as a criterion of period normal operation slurry pump can be used coefficient of techni-cal state, the value of which is proportional to the relative head, degree of hydroabrasive wear of the impeller and time of continuous operating. The coefficient technical state of slurry pump can be represented as a function of current flow rate and the RMS value of vibration velocity. The re-sults of theoretical and experimental studies used to develop algorithms and techniques express-diagnosis and monitoring of slurry pumps in hydrotransport system, data which indicate the need for routine maintenance of pumping equipment.

How to cite: Aleksandrov V.I., Sobota I. Vibrodiagnostics of the technical state slurry pumps // Journal of Mining Institute. 2016. Vol. 218 . p. 242-250.
Electromechanics and mechanical engineering
  • Date submitted
    2015-07-13
  • Date accepted
    2015-09-10
  • Date published
    2016-02-24

Problems of ensuring energy security for enterprises from the mineral resources sector

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A complex of technical means and decisions for ensuring adequate level power safety at mineral resources enterprises has been developed, including voltage mode control method, power quality improvement method, method of ensuring dynamic stability for electricity-generating equipment, method of enhancing power supply reliability, distributive network structure control method, and method of combined use of alternative and renewable energy sources. The necessity of ensuring power safety for the objects of the mineral resources sector, from the technical point of view – with the application of modern achievements and developments in the area of electrical complexes and systems, has been proved.

How to cite: Abramovich B.N., Sychev Y.A. Problems of ensuring energy security for enterprises from the mineral resources sector // Journal of Mining Institute. 2016. Vol. 217 . p. 132-139.
Mining
  • Date submitted
    2014-12-07
  • Date accepted
    2015-02-23
  • Date published
    2015-12-25

Bump hazard evaluation of a rock mass area as a result of its seismic acoustic activity registration

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Ore production in deep rock-bump hazardous mines is closely connected with the need to in-crease workers’ safety, which demands heavy costs of taking preventive shockproof actions and applying expensive protection systems against mountain blows. The article considers a resource forecasting technique and a bump hazard evaluation method for a rock mass area, based on a mi-cromechanical model, which registers acoustic emission of heterogeneous materials, and empirical data, obtained as a result of acoustic signals registration with the help of the model, aimed at seis-mic-acoustic activity evaluation at «Taimir» and «Oktyabrsky» rock mass areas, belonging to Norylsk industrial region.

How to cite: Nosov V.V. Bump hazard evaluation of a rock mass area as a result of its seismic acoustic activity registration // Journal of Mining Institute. 2015. Vol. 216 . p. 62-75.
Geotechnical engineering, powerengineering and automation
  • Date submitted
    2009-08-02
  • Date accepted
    2009-10-29
  • Date published
    2010-02-01

Forecasting the power consumption of mines on the basis of stochastic time-series models

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The paper is devoted to building up time series models to forecast the power consumption of a mine. The results discussed are obtained using various linear filter models and artificial neural network. The wavelet transform of the raw time series is shown to be an efficient technique to increase the forecasting accuracy.

How to cite: Chernysh A.A., Shonin O.B. Forecasting the power consumption of mines on the basis of stochastic time-series models // Journal of Mining Institute. 2010. Vol. 186 . p. 165-169.