PROSPECTS AND CHALLENGES OF FAIR TRANSFORMATION OF COAL REGIONS OF UKRAINE

The paper analyzes the changes taking place in recent years in the coal industry of Ukraine and the world and examines measures for innovation in energy. The main goals, challenges and prospects of fair transformation of coal regions are revealed by analyzing the current state of the coal industry of Ukraine and world trends. The instruments of the state policy on providing the fired workers of the coal regions with jobs in case of liquidation / transformation of mines are defined and the alternatives of the policy of promoting the employment of the fired workers for making effective decisions are established. Peculiarities and factors of creation of technological or eco-technological parks on the basis of coal enterprises are studied. It is concluded that one of the effective solutions for the fair transformation of coal regions can be the transformation / transformation of the mine as a state enterprise into a park system by involving energy companies. The implementation of investment projects using the infrastructure of the mine for other activities is promising. Significant work should be done on job creation programs and training / retraining / retraining of workers, design of industrial parks and implementation of innovative projects.

INCREASING MICROGRID ENERGY EFFICIENCY WITH DIESEL GENERATORS

It is shown that increasing the energy efficiency of Microgrid with diesel generators requires solving the problem of optimizing the modes of operation of Microgrid using as an optimization criterion for reducing the consumption of primary fuel diesel generators. To study the energy efficiency of such types of Microgrid as a criterion that has a direct impact on the amount of electricity generated, selected adequate accounting of primary fuel consumption when generating a given amount of electricity in the system. The article determines that one of the important indicators of diesel generator sets is their efficiency, which is determined by the ratio of energy produced to fuel consumption per hour of operation at rated load. It is shown that the reduction of fuel consumption allows to increase the efficiency of diesel generators, and different types of steady and transient modes of diesel generators significantly affect the efficiency of Microgrid in terms of technical and financial efficiency. To improve the technical and economic indicators in Microgrid with diesel generators, the article proposes to use the electric cost model of the power generation system, which allows to calculate both the dynamic change of generated power and the dynamic change of its cost and the cost of primary fuel. This model allows flexible nonlinear tracking of fuel consumption, which, taking into account the cost of diesel fuel, can serve as an economic criterion for determining the energy efficiency of the generating system. The article presents an algorithm for evaluating the financial and technical performance of Microgrid in dynamic modes over a period of technology, which not only evaluates the economic and energy efficiency of Microgrid with diesel generators, but can also be used to modify Smart meters, which can significantly expand their functionality.

PECULIARITIES OF DETERMINATION OF ECONOMIC INDICATORS OF EXECUTIBILITY OF IMPLEMENTATION OF MEASURES TO INCREASE ENERGY EFFICIENCY

The work is devoted to the analysis of the peculiarities of determining the economic indicators of the feasibility of implementing measures to improve energy efficiency. In contrast to energy saving, which aims to reduce the consumption of energy resources, energy efficiency is a matter of appropriate energy consumption. That is, the use of less energy for the same level of supply of buildings or industries. The topic is relevant, because now energy prices are rising every year. At the same time, the International Energy Agency estimates an increase in total resource needs by 25% by 2040. To achieve this goal, standard measures aimed at improving the energy efficiency of buildings, the effects of the implementation of these measures, a number of economic indicators, including PP, ARR, NPV, PI, BCR, SIR, MARR, IRR and DPP, were analyzed, evaluated and grouped. The focus was on the dynamic group of indicators due to the fact that their calculation involves the use of a discounting procedure. The general scheme of all dynamic indicators is the same and is based on forecasting costs and revenues for the planning period. The indicators of this group take into account changes in the value of money over time, which is neglected by the indicators of the static group. The most popular indicators are the calculation of net present value (NPV) and the definition of profitability index (PI). This work can be used to solve the problem of low energy efficiency and insufficient funding for the modernization of the building

SELECTION AND CALCULATION OF STEPPER MOTORS FOR CNC

Today, modern technologies tend to develop rapidly. The application of advanced inventions, principles, systems and approaches allows to simplify the production process, reduce the cost of manufacturing finished products, replace monotonous manual work with automated systems and devices. The basis of the power drive of such systems are electric motors: with permanent magnets, direct current, stepper, etc. When developing any electromechanical system, the task of choosing the type of drive motor, its parameters and characteristics. This article is devoted to the choice of such an electric motor for an electromechanical system for three-dimensional plastic printing. As a result of comparative analysis of parameters and characteristics of different types of motors, it is established that bipolar stepper motors are optimal for use in low-power and small-sized systems for three-dimensional printing. This is due to the simplicity of their design, reliability and low requirements for nominal and maximum torque.

ENERGY-ECONOMIC ANALYSIS SECTORS OF THE ECONOMY OF UKRAINE

The work is devoted to methods of calculating the total energy intensity of fuel, currency, products, labor costs, raw materials and materials necessary for the practical application of energy-economic analysis of production efficiency. The article proposes a simplified methodology and performs calculations to estimate the total energy intensity of currency and products of seven sectors of the economy of Ukraine, which produce food, mineral, chemical, metallurgical and machine-building products, as well as services - transport and computer programming. Calculations were made for three types of fuel - nuclear fuel, coal and natural gas, which in 2017 accounted for more than 76% of total fuel consumption in Ukraine. The main components of the total energy intensity of the products of the national economy are due to the use of fuel for the production of fuel, electricity and heat and raw materials, as well as the cost of fuel for the production of products that workers buy for wages. The article identifies the relative energy and economic efficiency of fuel use in the economy of Ukraine

Department of Theoretical Electrical Engineering KPI. Igor Sikorsky years, people, destiny

The article offered to the reader is devoted to the formation and stages of development of one of the oldest departments of Kyiv Polytechnic Institute - Department of theoretical electrical engineering. An excerpt from the KPI personnel is given, which confirms the date of foundation . The history of the department is presented through its heads and their activities - from the day of formation to the present time. Main scientific directions of the department's activity and its achievements are given. The article will be useful for the heads and scientific and pedagogical staff of Ukrainian universities, a wide range of readers who are not indifferent to the history of education and science in Ukraine.

PRECEDENT-ANALYTICAL MODEL OF EXERCISE SYSTEM FOR ENERGY MANAGERS

The topical issue of development of theoretical bases of creation and application of computerized systems for training of energy managers of industrial enterprises is considered. The object of the study is the practical activities of the company's staff, aimed at improving the energy efficiency of production systems for various purposes. The subject of research is computer technologies of training and coaching of industrial enterprise personnel. The purpose of the study is to create tools aimed at training the staff of energy management services. The research is based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions is based on the Deming cycle, and the modeling of reactions of production systems is based on cases of quasi-stationary energy consumption of the technological system. The software platform of the proposed technology consists of software modules that reproduce the control cycle PDCA (Plan-Do-Check-Act) and the subject area of ​​training in the form of a software add-on. The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

THERMAL STATE OF THE AIR - GROUND HEAT EXCHANGER PREDICTION BASED ON ARTIFICIAL NEURAL NETWORK

The work aim is to predict the thermal state of the air-ground heat exchanger based on an artificial neural network. Training, testing and validation of the proposed model were made on experimental data obtained in the thermophysical laboratory of the Institute of Engineering Thermophysics of the National Academy of Sciences of Ukraine. A simple neural network is used in this work. The air temperature at the inlet to the heat exchanger, and its relative humidity are selected as input parameters for the neural network. The MATLAB (R2016a) and Levenberg-Markwatt model were used in this article's calculations. One hidden layer and 10 neurons were presented in the model. The array of analysed data was divided into ratios of 70%, 15%, 15% for neural network training, validation and testing, respectively. As a result, it is obtained that the forecasting takes place with acceptable accuracy in all models. The root mean square error for the whole data set for different models varies from 0.105 to 2.323°С. The maximum mean absolute percentage error was the largest for CFD model and was 11.2%. The minimum mean bias error of the predicted data from the experimentally measured ones was found in the model using temperature, humidity, and air temperature at the outlet of the air-ground heat exchanger for the previous hour and was 0.02%. The training and testing of the proposed models based on an artificial neural network are satisfactory enough to predict the temperature taking into account the influence of weather conditions. Artificial neural networks can be used to predict the thermal state of the air-ground heat exchanger. Data representing the description of a real system are required for forecasting the parameters based on the ANN.

INDIVIDUAL DISTRIBUTION OF THERMAL ENERGY CONSUMPTION IN AN APARTMENT BUILDING: PRACTICAL EXPERIENCE

The cost of thermal energy production is constantly growing, on average, tariffs in the regions of Ukraine have tripled in recent years. The component of payment for heating in utility costs is the main one for most apartment buildings, but due to the peculiarities of district heating systems, residents do not have an impact on heat consumption, and there is a problem of uneven heat distribution: some rooms are overheated, others unheated. The normative documents of Ukraine indicate the installation of metering and regulation of energy consumption as one of the main measures to increase the level of energy efficiency of buildings. Modernization of heating engineering systems with the installation of thermostats and heat distributors is one of the most discussed energy saving measures at the general meeting of condominiums, which is of interest to most residents of buildings in operation. Experience shows that after the installation of such devices, the consumption of thermal energy by buildings is reduced, which leads to a reduction in heating costs. The relevance of the topic of this article is to study modern methods of individual distribution of thermal energy in apartment buildings, in particular in houses with a vertical heating system. The object of the study is an existing apartment building in Kyiv, where, starting in 2019, thermal energy distributors were put into operation. The subject of the study is the methods of heat distribution between apartments and the analysis of the practical results of the implementation of such a project in the existing serial building in Kyiv. The following research tasks were set: collection of general information about thermal energy distributors, their types and principles of operation; analysis of the current regulatory framework regarding the problem of individual accounting of thermal energy; analysis of the method of heat energy distribution adopted in Ukraine with identification of the main problems that arise during its application; analysis of practical results of thermal energy distribution in an apartment building in Kyiv.

ASPECTS OF TEMPERATURE TAKING INTO ACCOUNT TO INCREASE THE ACCURACY OF SHORT-TERM FORECASTING OF NODE LOADS

The peculiarities of the influence of air temperature data on the accuracy of forecasting of nodal loads in power systems and how the accuracy of such forecasting changes depending on the training sample and its volume are considered. The application of the data analysis method to detect anomalous values ​​and omissions to reduce data distortion and improve forecasting results is considered. A neural network of deep learning of the LSTM type was used for multifactor prediction of nodal loads. To evaluate the effectiveness of the forecast accuracy, various variants of data samples for neural network training are considered.