The article describes the proposed method of ventilation the sloped block of an oil mine, in which the supply of fresh air to the sloped block will be carried out along the mine workings is proposes in the article. The sloped block is divided into two parts by means of a longitudinal partition. As a result, two flows should appear in the sloped block: one flow is between the longitudinal baffle and the heated rock mass, the second flow is entering the working area of the drilling gallery in consequence acting of the general mine depression. The ground surface and the air outlet at the end of the first part of the sloped block are linked by using a borehole. Mathematical modeling of the heat and mass transfer process in the sloped block was carried out using the ANSYS Fluent software package, as a result of which the assumption about the energy efficiency of the proposed method and the possibility of improving the microclimatic working conditions in underground mine workings was confirmed: heated air due to natural draught will be removed to the surface through a ventilation well. Natural draught will ensure the removal of heated air from the working area and facilitate ventilation (increase the volumetric flow rate of air supplied to the inclined unit), as a result of which it will be possible to reduce the energy consumption for the operation of the ventilation system. The article also describes the mechanism for using the effect obtained from reducing electricity consumption for airing an oil mine in possible scenarios of unloading energy consumers for an enterprise to participate in the electricity demand market (Demand Response), which provides additional financial benefits.

The article considers the architecture of the ventilation control system for underground mining enterprises, equipped with a digital twin with online functions such as simulation modeling and predictive analytics. The system is focused on the main fan unit (MFU) control taking into account changing parameters of external air supplied to mine shafts. In contrast to the existing ones, the proposed method of control takes into account the influence of these parameters on changes in the total volume of natural draught, on which the total volume of air supplied to the mine (mine) depends. It is known that ventilation systems of such enterprises consume from 30 to 50 % of all electricity consumed for the mining process. In this regard, the proposed control models can be used to optimize energy costs and energy savings in ventilation. The Internet of things (IoT) InfluxData of stack TICK is offered for the realization. The offered architecture of cyber-physical system (CPS) consists of four subsystems: physical object subsystem, network and computing infrastructure IoT, digital twin, user interface. Architecture of CPS provides data processing from energy meters, control controllers and sensors of air environment parameters, implemented in blocks of on-line and off-line calculations. The digital twin of the ventilation system is made with the use of a time series database and a database of attributes that store information on changes in equipment parameters by time, air indicators, performance indicators, statistics on accidents and fan runtime, CPS characteristics, etc. CPS of the given architecture means connection of additional data sources, providing calculations of rational volumes of air delivery taking into account safety norms and requirements of energy efficiency.

Abstract The paper is devoted to the development of a methodology to evaluate the possible locations of wind generators using GIS technologies for the climatic conditions of the Western Urals. A model of the wind generator operation in the electrical network using the OpenModelica simulation environment has been built. Recommendations on the use of a wind generator and a feasibility study of its use on the base of an energy-efficient autonomous research module (EEARM) are worked out.

The current paper is devoted to the estimation the effectiveness of the application of the geothermal heat pump application in the climatic conditions of Western Ural. The system approach for assessing the efficiency of the heating system of the research unit (model of a residential house) on the basis of the heat pump is proposed. This approach involves multicriteria analysis of the facility operation based on the data of field experiments and simulation results, as well as evaluating the economic efficiency of the heat pump as compared with traditional heat sources.

The problems of increasing the operation efficiency of a group of compressors consisting of two subgroups of the reciprocating machines of various capacities, as well as a screw compressor providing the technological processes of a large industrial enterprise specializing in production of the construction materials with compressed air, are considered. Due to the large number of the consumers that are poorly coordinated with each other, the features of the technology requiring short-term, but large, airflow; and operating modes of the electric drives of the reciprocating unit ensuring a minimum number of activations, automated monitoring of the energy parameters and proactive control of the compressors is provided. For this purpose, data-mining blocks are introduced into the structure of the control software and hardware system of the distributed architecture. The system registers the change of the parameters themselves, as well as the first derivatives, and then the obtained estimates are compared to the precedents available in the database. Considering the electric-energy consumption target functions of each compressor of the group calculated based on the statistics, as well as the selected precedent—the rules for activation of the machines for the current situation taking into account its dynamics—a control signal for the starting device is generated. Minimization of the specific electric-energy consumption by the total group is achieved by choosing the optimal combination of the operating reciprocating compressors with automatic connection of the screw compressor for more precise control of the process parameters.

Предмет исследования: эксплуатация интеллектуальных зданий (ИЗ) требует учитывать ряд факторов: ресурсосбережение, снижение эксплуатационных расходов, повышение безопасности, обеспечение комфортных условий труда и отдыха. Автоматизация управления соответствующими инженерными системами освещения, микроклимата, безопасности, коммуникационными системами и сетями с помощью современных технологий, например Internet of Things (IoT, Интернет вещей), порождает проблемы, связанные с хранением и обработкой больших объемов данных, степень использования которых сегодня крайне низкая. В связи с тем, что жизненный цикл здания достаточно велик и превосходит жизненный цикл стандартов, учитывающих требования безопасности, комфорта, энергосбережения и т.п., необходимо учитывать аспекты управления в условиях рационального использования больших данных на этапе информационного моделирования. Цели: повышение эффективности управления подсистемами технического обеспечения ИЗ на основе веб-ориентированной информационной системы, обладающей гибкой многоуровневой архитектурой, с несколькими контурами управления и моделью адаптации. Материалы и методы: в связи с тем, что ИЗ относится к человеко-машинным системам, в качестве базового метода создания и исследования системы управления рассматривается кибернетический подход. Инструментальными методами исследования выступают теоретико-множественное моделирование, теория автоматов и архитектурные принципы организации информационных систем управления. Результаты: синтезирована гибкая архитектура информационной системы управления подсистемами технического обеспечения ИЗ, включающая: уровень клиента, уровень приложения и уровень данных, а также три слоя: слой представления, слой исполнительных устройств и слой аналитики. Для решения проблемы, связанной с увеличением объема обрабатываемой контроллером сообщений реального времени информации, предложено использовать датчики и исполнительные механизмы с настраиваемым порогом срабатывания, реализующие алгоритмы управления на основе модели дискретных автоматов, в частности логические схемы алгоритмов (ЛСА). В составе многоконтурной системы управления дополнительно введены: блок интеллектуального анализа данных, Система управления базами данных витрины данных и OLAP-куб (On-Line Analytical Processing), обеспечивающие обработку больших объемов информации о состоянии подсистемами технического обеспечения зданий и сооружений. Выводы: информационная система управления подсистемами технического обеспечения ИЗ, построенная на базе предложенной архитектуры, позволит повысить качество принимаемых решений и снизить эксплуатационные расходы здания за счет применения контура управления, использующего интеллектуальный анализ данных. Предложенное решение рекомендуется к использованию для управления техническими системами зданий и сооружений, имеющих средства автоматизации и IoT.

In this article the method of the industrial enterprises water supply system data analysis based on search of dependences of emergencies number on environmental parameters is considered. The example of water supply system with a standard structure is given, possible places of accidents are shown. The mathematical models of the monitoring results analysis in order to identify the relationship of accidents in knots, piping lines, consumer systems for water supply and sanitation by external factors are proposed. Calculation of correlation function showed dependence of the accident number on water temperature. Histograms of distribution of water temperatures in system and quantities of emergencies, graphics of the average values with use of the smoothing filters, dependence of temperature in the giving system of water from the number of accidents are constructed. Data visualization is carried out with using the OpenJEVis information system. The received results can be used for forming of observations statistics, an impact assessment of other parameters of system, accident rate forecasting. Research has been completed under the PNRPU grant No. 2016/PI-2 "Methodology development of monitoring and heat flow utilization as low potential company energy sources".

The article is devoted to the use of renewable energy sources and the assessment of the feasibility of their use in the climatic conditions of the Western Urals. A simulation model that calculates the efficiency of a combined power installations (CPI) was (RES) developed. The CPI consists of the geothermal heat pump (GHP) and the vacuum solar collector (VCS) and is based on the research model. This model allows solving a wide range of problems in the field of energy and resource efficiency, and can be applied to other objects using RES. Based on the research recommendations for optimizing the management and the application of CPI were given. The optimization system will give a positive effect in the energy and resource consumption of low-rise residential buildings projects.

The main problems encountered in the remote monitoring of energy use in metals production and other industries are identified. Such monitoring entails long-term observation of energy parameters along with production data, in addition to vectorial representation of the criteria chosen to assess energy use. A new approach is proposed to the synthesis of a web-oriented system based on theoretical-multivariate, parametric, and structural modeling of remote energy monitoring. The structure of the system is detailed by employing a modular multipurpose hardware-software complex that includes open interfaces, the original source code, and licenses for free dissemination of the software. Results are presented from the practical use of specialized elements of the remote energy monitoring system and the synthesized structure in accordance with the above-described approach. Also, a method is proposed for evaluating the effectiveness of the monitoring systems that are created.

Software and hardware system organization is presented as an example for building energy monitoring of multi-sectional lighting and climate control / conditioning needs. System key feature is applied office energy data analysis that allows to provide each type of hardware localized work mode recognition. It is based on general energy consumption profile with following energy consumption and workload evaluation. Applied data analysis includes primary data processing block, smoothing filter, time stamp identification block, clusterization and classification blocks, state change detection block, statistical data calculation block. Time slot consumed energy value and slot time stamp are taken as work mode classification main parameters. Energy data applied analysis with HIL and OpenJEVis visualization system usage experimental research results for chosen time period has been provided. Energy consumption, workload calculation and eight different states identification has been executed for two lighting sections and one climate control / conditioning emulating system by integral energy consumption profile. Research has been supported by university internal grant. NO2016/PI-2 "Methodology development of monitoring and heat flow utilization as low potential company energy sources"

В статье рассматриваются основные принципы организации автоматизированной системы мониторинга в части распределенного сбора, долгосрочного хранения и последующего автоматического анализа параметров электрической энергии. Сформулированы основные требования к составу программно-аппаратного обеспечения системы мониторинга на базе JEVis-совместимых технологий. Выполнен краткий обзор используемых технических и информационных средств, на основании результатов которого построена архитектура системы. В качестве основы аппаратного обеспечения рассмотрены анализаторы мощности фирмы Janitza Electronics. Основу программного обеспечения составили инструментальные средства GridVis и OpenJEVis, обладающая открытым исходным кодом и лицензиями для свободного применения для исследований и разработок. Предложенное новое техническое решение обладает широкими возможностями масштабируемого сбора, наглядного отображения и визуализации, гибкого и настраиваемого анализа полученных энергетических параметров с целью упрощения и автоматизации расчета показателей энергетической эффективности различного электротехнического оборудования. Работа выполнена в рамках гранта Президента Российской Федерации по государственной поддержке молодых российских ученых - кандидатов наук, МК–5279.2014.8 «Синтез эффективных технологий удаленного мониторинга и управления состоянием интеллектуальной электроэнергетической системы с активно-адаптивной сетью».

The results of an analytical review of basic and advanced functional features of a modern software-hardware system of remote monitoring and analysis of energy data are presented. The Open JEVis information platform, which possesses hardware, software, and network open interfaces, is used as the central element of the system. An organization scheme of energy data monitoring and analysis based on the Open JEVis is proposed. The main technical characteristics of data collection tools, being the VIDA remote telemetry devices, are given. The results of experimental studies of industrial facilities using the hardware-software system for energy data monitoring and analysis are discussed.