Obtaining wind energy for the production of electric energy plays a key role in overcoming the problems associated with climate change and the dwindling reserves of traditional types of energy resources. The purpose of this work is to analyze current methods of energy estimation and forecasting, to consider the main classifications of forecasts and methods used in their construction and to review the main types of mathematical distributions used to calculate the speed and power of wind flow, depending on specific geographical conditions. In recent years, there has been an increase in the capacity of modern wind generators, which has significantly improved the efficiency of wind energy parks. The initial stage in determining the feasibility of involving a particular energy source in the overall energy system of the region is a preliminary assessment of the energy potential, allowing one to determine the possible percentage of substitution of traditional energy. To solve such a problem, it is necessary to use models of energy supply. Evaluation of wind as a resource creates certain difficulties in modeling because this resource is stochastic and variable. In this regard, this paper proposes to consider various models for estimating wind energy potential, which can be classified into empirical models and models based on the application of modern intelligent data analysis technologies. The paper presents an analysis of the existing models for estimating the amount of energy, which can be used in a system designed to determine the most optimal configuration of the energy system based on the use of different conversion technologies most relevant to the case under study, and it also serves as the basis for creating digital twins designed to model and optimize the operation of the projected energy complex.
The article presents the verification of the method for calculating acoustic-magnetic devices parameters. Periodic greenhouse complex pipe replacement makes a problem of replacing acoustic-magnetic devices. The scientific problem is the design of acoustic-magnetic devices with processing geothermal water optimal efficiency using pipes of various diameters. To calculate the device parameters using the existing methods based on the similarity theory, experimental studies were conducted with five acoustic-magnetic devices for pipes of various diameters on a special test stand. The seven similarity criteria were established and the regression analysis method was used to create a regression equation for the resulting variable -the efficiency of scale formation after geothermal water treatment with an acoustic-magnetic device. Regression equation analysis allows to determine the three significant criteria for ferrite ring properties and geometric characteristics, the acoustic-magnetic device, magnetic and acoustic components. In order to verify the considered methods of calculating the acoustic-magnetic device parameters, experimental studies were carried out according to the experiment plan on the test stand with the acoustic-magnetic device for a pipe with internal diameter of 12 mm. When experimental data were processed, regression analysis methods were used to obtain a multiple regression equation. According to the research results, it was found that indicators of the experimental and control group devices installed on pipes in the greenhouse complex with various values of the internal diameter differ insignificantly. The device's performance indicators that were found experimentally and calculated from the model, also differ insignificantly. This fact proves the efficiency of the method used for calculating parameters in the acoustic-magnetic device design and, in addition, provides an opportunity to create devices with acceptable resulting indicator value for pipes of the required range.
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