Cкорость научно-технологического прогресса и исчезновение определенных видов деятельности, связанное с проникновением автоматизации во все сферы производственных и управленческих процессов, являются факторами возможного роста для предприятий будущего. Цифровая интеграция, объединяющая научные направления, кадры, процессы, пользователей и данные, будет создавать условия для научно-технических достижений и прорывов, обеспечивая научно-экономические сдвиги в смежных отраслях и, прежде всего, на глобальном минерально-сырьевом рынке. В этой связи с целью обучения, исследований и разработок в области цифровых технологий для предприятий минерально-сырьевого и топливно-энергетического комплексов в Горном университете реализуется деятельность Кафедры прикладных компетенций в области цифровых технологий.
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Направления научных исследований
Исследование эффективного развития и функционирования энергетических систем на новой технологической основе, принципах энергосбережения, современной электротехнике, ВИЭ
Теория и методология информационного обеспечения объектов недропользования
Создание системы непрерывного обучения и повышения квалификации, направленной на формирование профессиональных цифровых компетенций специалистов, необходимых для обеспечения инновационного развития ТЭК и МСК
Энергосбережение и повышение энергетической эффективности
Переход к передовым цифровым, интеллектуальным производственным технологиям, роботизированным системам на предприятиях МСК и ТЭК
Данное направление предполагает рассмотрение интеллектуальных технологий управления электроэнергетическими системами, включая передачу электрической энергии, управление спросом на электрическую энергию, цифровые двойники объектов электроэнергетики, цифровые информационные модели электротехнических систем.
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Лаборатория
В рамках данного направления ведется разработка новых методов мониторинга и управления на основе цифровых и информационных технологий, создание информационных систем для решения задач горной отрасли.
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Лаборатория
Данное направление нацелено на развитие и популяризацию инженерного образования, повышение цифровых компетенций сотрудников и обучающихся, а также реализацию программ дополнительного профессионального образования для представителей компаний ТЭК и МСК.
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Данное направление предполагает исследование и обоснование комплексных показателей эффективности генерации, транспорта и потребления энергии при снабжении от традиционных и возобновляемых источников энергии с учетом влияния глобальных вызовов и вариации внешних факторов.
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В рамках данного направления проводятся исследования, направленные на повышение эффективности оборудования и технологических процессов добычи, переработки и транспортировки полезных ископаемых.
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Проекты
Научные публикации
Evaluation of bulk material behavior control method in technological units using dem. Part 1
Ключевые слова:Bulk materials | Classification of motion modes | DEM-modeling | Neural networks | Pelletizing drums
Дата публикации: 2020-01-01
Журнал: CIS Iron and Steel Review
Авторы: Boikov, A.V, Savelyev, R.V, Payor, V.A, Erokhina, O.O.
ISSN:24141089
Q1
(Scimago)
Nowadays pelletizing drums are widely used in the steel industry. These units are characterized by high endurance and low cost of maintenance. However, use and control of these units in the process of coarsening have a number of issues. For most of the cases pelletizing drums are “black box” and control accuracy can not be estimated exactly. It is explained by low existing theoretical basis of this production process. Particularly it is tied up with the variability of the bulk materials (charges) parameters supplied to the unit. Overcome of this issues can be reached with development of intelligent control systems for drum pelletizing machines. Main requirement for such systems is possibility to level or consider the effect of charges properties variability in control. However, it is necessary to study the behavior of bulk materials inside the units. Visual assessment of pelletization does not allow to evaluate the ongoing physical processes. Development of mathematical and numerical models can help studying the process and take a lot of parameters into account including charges properties and even interaction with water. But the adequacy of the resulting models also has to be clarified using physical devices to record or capture bulk materials behavior inside the units. This research proposes a DEM simulation test of the concept for bulk material behavior control through the recognition of the mixture movement fragments using special capsules. This part is dedicated to the simulation model set up and extracting the particles trajectories for further processing.
Development of an algorithm for regulating the load schedule of educational institutions based on the forecast of electric consumption within the framework of application of the demand response
Ключевые слова:Big data | Demand response | Digital technologies | Energy efficiency | Energy saving | Internet of things | Machine learning
Дата публикации: 2021-12-01
Журнал: Sustainability (Switzerland)
Авторы: Zhukovskiy, Y.L, Kovalchuk, M.S, Batueva, D.E, Senchilo, N.D.
ISSN:20711050
Q1
(Scimago)
There is a tendency to increase the use of demand response technology in the Russian Federation along with other developing countries, covering not only large industries, but also individual households and organizations. Reducing peak loads of electricity consumption and increasing energy efficient use of equipment in the power system is achieved by applying demand management technology based on modeling and predicting consumer behavior in an educational institution. The study proposes to consider the possibility of participating in the concept of demand management of educational institutions with a typical workload schedule of the work week. For the study, statistical data of open services and sources, Russian and foreign research on the use of digital and information technologies, analytical methods, methods of mathematical modeling, methods of analysis, and generalization of data and statistical methods of data processing are used. An algorithm for collecting and processing power consumption data and a load planning algorithm were developed, including all levels of interaction between devices. A comparison was made between the values of the maximum daily consumption before and after optimization, as well as the magnitude of the decrease in the maximum consumption after applying the genetic algorithm. The developed algorithm has the ability to scale, which will increase the effect of using the results of this study to more significant values. Load switching helps to reduce peak consumption charges, which often represent a significant portion of the electricity cost.
Scenario modeling of sustainable development of energy supply in the arctic
Ключевые слова:Arctic | Energy scenarios | Energy supply | Hydrogen | Renewable energy sources | Scenario modeling | SDG-goals | Sustainability | Sustainable energy | Technological demand
Дата публикации: 2021-12-01
Журнал: Resources
Авторы: Zhukovskiy, Y, Tsvetkov, P, Buldysko, A, Malkova, Y, Stoianova, A, Koshenkova, A.
ISSN:20799276
Q2
(Scimago)
The 21st century is characterized not only by large-scale transformations but also by the speed with which they occur. Transformations—political, economic, social, technological, environmental, and legal-in synergy have always been a catalyst for reactions in society. The field of energy supply, like many others, is extremely susceptible to the external influence of such factors. To a large extent, this applies to remote (especially from the position of energy supply) regions. The authors outline an approach to justifying the development of the Arctic energy infrastructure through an analysis of the demand for the amount of energy consumed and energy sources, taking into account global trends. The methodology is based on scenario modeling of technological demand. It is based on a study of the specific needs of consumers, available technologies, and identified risks. The paper proposes development scenarios and presents a model that takes them into account. Modeling results show that in all scenarios, up to 50% of the energy balance in 2035 will take gas, but the role of carbon-free energy sources will increase. The mathematical model allowed forecasting the demand for energy types by certain types of consumers, which makes it possible to determine the vector of development and stimulation of certain types of resources for energy production in the Arctic. The model enables considering not only the growth but also the decline in demand for certain types of consumers under different scenarios. In addition, authors’ forecasts, through further modernization of the energy sector in the Arctic region, can contribute to the creation of prerequisites that will be stimulating and profitable for the growth of investment in sustainable energy sources to supply consumers. The scientific significance of the work lies in the application of a consistent hybrid modeling approach to forecasting demand for energy resources in the Arctic region. The results of the study are useful in drafting a scenario of regional development, taking into account the Sustainable Development Goals, as well as identifying areas of technology and energy infrastructure stimulation.
Отзывы партнёров
"Together with the Educational Center of Digital Technologies at St. Petersburg Mining University, we have been collaborating for several years to shape fundamental and applied challenges and ideas for the digitalisation of the mining industry."
"We are very glad to be part of the process that the Educational Center of Digital Technologies at St. Petersburg Mining University is engaged in. We are confident that this centre can become an assembly point for all those new solutions that will bring the mining industry to a new level."
The Committee for the Fuel and Energy Complex of the Leningrad Region expresses its gratitude to you for your support in holding the Festival and organising an informative exposition of the enterprise aimed at attracting the young generation to the fuel and energy complex profession.
Thanks to your efforts, we will be able to further educate young people full of strength and aspirations for knowledge and creativity in the field of energy saving.
We hope for further fruitful co-operation in the field of energy saving.
Thanks to your efforts, we will be able to further educate young people full of strength and aspirations for knowledge and creativity in the field of energy saving.
We hope for further fruitful co-operation in the field of energy saving.
On behalf of the Ministry of Energy of Russia, we would like to express our gratitude to the WeWatt team of young researchers for the great and necessary work for the industry, done under your leadership on a proactive and pro bono basis.
The results of this study will serve as a basis for further work in this area and will be useful to coal companies in carrying out digital transformation of production facilities, contributing to the effective and successful achievement of the goal.
The results of this study will serve as a basis for further work in this area and will be useful to coal companies in carrying out digital transformation of production facilities, contributing to the effective and successful achievement of the goal.
Institute for Problems of Integrated Subsoil Development, Dmitry Klebanov
Leonid Zhukov, Director of SITECH Division of Zeppelin Rusland Ltd.
Committee for Fuel and Energy Complex, Chairman of the Committee Y.V. Andreev
Ministry of Energy of the Russian Federation
Кафедра в лицах

Королёв Николай Александрович
доцент, руководитель направления энергетических и электромеханических систем
к.т.н.

Сержан Сергей Леонидович
доцент, руководитель направления горно-транспортных систем
к.т.н.

Булдыско Александра Дмитриевна
ассистент
к.т.н.

Чупин Станислав Александрович
доцент, руководитель направления компьютерного моделирования
к.т.н.

Николайчук Любовь Анатольевна
Заведующая кафедрой прикладных компетенций в области цифровых технологий
к.э.н. / доцент
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