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The research on determining rational parameters of heat treatment of a concrete mixture based on hollow aluminosilicate microspheres has defined the features of the intensifying action on the structural concrete mixture by low-pressure steam with optimum heat and mass transfer. Optimum values of temperature, humidity and speed of the medium have been identified. The obtained heat treatment parameters are subject to general regularities of structures for the formation of hydraulic bindings and are in accordance with production conditions, thus providing possibilities for their adaptation into production. The mechanisms for determining the strength of concrete stone according to the structural and thermal effectiveness of the active medium have been defined. Thanks to the strength-building mechanisms obtained, it is possible to reduce the thermal destruction capacity of the system while reducing the process heat consumption. It is confirmed that the main direction in reducing the destructive capacity is determined by the mass flow of moisture, which has the greatest heat capacity and the least thermal conductivity at the initial stages. The invention relates to periods of temperature rise and isothermal heating without impairing the mechanical properties of concrete. It is shown that the real duration excludes high-temperature destruction processes, thereby increasing the mechanical strength of concrete and reducing the overall energy consumption. Thus, there is a reason to argue that it is possible to produce strong and light concrete products under accelerated structure formation and new technologies for heat treatment of concrete based on lightweight fillers with reduced heat consumption.

The present work focuses on the development of control systems of wind-diesel power plant with DC-bus, which provide generation static stability for a given operation conditions. The article describes the operating modes of generating units and conversion devices, by which the maximum power output and static stability of the wind-diesel system are realized. Independent controllers setting for each generation source is proposed, making possible a modular extension of the hybrid power plant. The controllers are tuned for wind and diesel generation sources. Two optimization methods are used: linear and modular. By quality indicators analysis of the transients and logarithmic frequency responses the optimal structure and parameters of the regulators are selected. The regulators developed are implemented and used for existing power equipment. The control systems test experimental data obtained confirm the adequacy, reliability and performance of the developed solutions.

Aims:: The main goals of this research are exploration of energy-efficient building materials when replacing natural materials with industrial waste and development of the theory and practice of obtaining light and ultra-light gravel materials based on mineral binders and waste dump ash and slag mixtures of hydraulic removal. Background.: Experimental data on the conditions of formation of gravel materials containing hollow aluminum and silica microsphere with opportunity of receipt of optimum structure and properties depending on humidity with the using of various binders are presented in this article. This article dwells on the scientific study of opportunity physical-mechanical properties of composite materials optimization are considered. Objective.: Composite material contains hollow aluminum and silica microsphere. Method.: The study is based on the application of the method of separation of power and heat engineering functions. The method is based on the use of the factor structure optimality, which takes into account the primary and secondary stress fields of the structural gravel material. This indicates the possibility of obtaining gravel material with the most uniform distribution of nano - and microparticles in the gravel material and the formation of stable matrices with minimization of stress concentrations. Experiments show that the thickness of the cement shell, which performs power functions, is directly related to the size of the raw granules. At the same time, the thickness of the cement crust, regardless of the type of binder, with increasing moisture content has a higher rate of formation for granules of larger diameter. Results.: The conditions for the formation of gravel composite materials containing a hollow aluminosilicate microsphere are studied. The optimal structure and properties of the gravel composite material were obtained. The dependence of the strength function on humidity and the type of binder has been investigated. The optimal size and shape of binary form of gravel material containing a hollow aluminosilicate microsphere with a minimum thickness of a cement shell and a maximum strength function was obtained. Conclusion.: Received structure allows to separate power and heat engineering functions in material and to minimize the content of the excited environment centers.

Hollow aluminum and silica microsphere is a component of ash wastes from heat and power industry that today is widely used as a microaddition almost in all sectors of economy. It is used to improve properties of different materials and constructions or to produce advanced properties of these materials. Hollow aluminum and silica microsphere is non-reactive microaddition that determine its advantages in producing ecologically friendly materials and in providing materials with additional properties without changing the basic. In this paper research has been conducted on identifying the modulus of viscosity focused on the effect on the capacity to form structure links that are influence the properties of producing leak less framework. Modulus of viscosity is one of the main dynamic characteristics of fill finely divided materials that determine materials and constructions strength properties including the capability to form a rigid frame. The research was carried out to determine the correlation between the modulus of viscosity and the humidity of raw component in order to identify optimal conditions of material formation and producing an item with the highest level of durability and rigidity. Moreover, the paper revealed the connection between the modulus of viscosity and the size of non-reactive microaddition based on set humidity and the influence of the microaddition size on the trend in modulus of viscosity.

This article discusses the possibility of applying a cylindrical coordinate system when examining the magnetic field of a synchronous machine.

This paper proposes a step-by-step technique for combining basic models that forecast electricity consumption in an artificial neural network by the method of preliminary selection and further hybridization. The reported experiments were conducted using data on hourly electricity consumption at the metallurgical plant AO ArcelorMittal Temirtau in the period from January 1, 2019, to November 30, 2021. The current research is related to the planned introduction of a balancing electricity market. 96 combinations of basic models were compiled, differing in the type of neural network, the set of initial data, the order of lag, the learning algorithm, and the number of neurons in the hidden layer. It has been determined that the NARX-type network is the most optimal architecture to forecast electricity consumption. Based on experimental studies, the number of hidden neurons needed to form a planned daily profile should equal 3 or 4; it is recommended to use the conjugate gradient method as a learning algorithm. When selecting models from three groups, it was revealed that the conjugate gradient method produces better results compared to the Levenberg-Marquardt algorithm. It is determined that the values of the selected RMSE error indicator take values of 23.17, 22.54, and 22.56, respectively, for the first, second, and third data groups. The adaptive hybridization method has been shown to reduce the RMSE error rate to 21.73. However, the weights of the best models with values of 0.327 for the first group of data, and 0.336 for the second and third ones, show that the individual use of a separate combination of models is also applicable. The devised forecasting electricity consumption model can be integrated into an automated electricity metering system

In this article, a prototype model of a solar tracker and an algorithm for its control based on the "Arduino Uno" platform are being developed. The purpose of this article is to study the subject area, create an autonomous solar tracker model and conduct a study on the production of solar panels. The introduction of a solar tracker is an affordable way to improve the efficiency of solar panels. The solar tracker can already be applied to an operating solar power plant, with a slight redesign of the structure on which solar panels are installed. The solar tracker increases electricity production to a greater extent in the morning and evening, the tracker directs the panels to the maximum flow of sunlight, making production uniform throughout the day. The article shows the results of the experiment and provides a comparative analysis of the production of solar panels. The design of the layout of the solar tracker was developed and the graphs of the dependence of the power of the solar panel on time were drawn up, the calculations of the power of the solar panel and were carried out. A solar tracker control system based on Arduino Uno has been developed. The yield of solar panels with a dual axis and single axis solar tracker is 59.4% and 43% compared to a solar panel installed at 45°.