RANDOM ANGLE GENERATOR IN THE ATMOSPHERIC MONITORING SYSTEM OF ENERGY FACILITIES

• Datum: 2026
• Hauptverfasser: Kovtun, Svitlana, Kuts, Volodymyr, Kuts, Yurii, Karaban, Artem
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: General Energy Institute of the National Academy of Sciences of Ukraine 2026
• Schlagworte: random angle generator; computer experiment; trigonometric moments method; bimodal distributions of random angles.
• Online Zugang: https://systemre.org/index.php/journal/article/view/958
• Назва журналу: System Research in Energy

The complication of maintaining the power balance in the energy system under martial law conditions, ensuring the normal operating modes of power facility equipment, and maintaining the required quality of fossil energy resources used, among other factors, leads to an increase in harmful emissions into the atmosphere. Therefore, the development and improvement of environmental monitoring tools for energy facilities has become particularly relevant. In environmental monitoring systems, primary measurement information is generated by a system of sensors located around sources of pollutant emissions. One of the important tasks in the analysis of experimental data is the estimation of the distribution of pollutant concentrations in the vicinity of energy facilities using polar coordinates. To address this problem, modules for statistical analysis of circular data are included in the algorithmic and software support of monitoring systems. The task of verifying such modules requires the development of random angle generators capable of producing test samples of random angles with complex probability distributions. The article considers the methodological basis for solving problems of computer experiments with random angles, substantiates the use of multimodal probability distributions in problems of circular data analysis for atmospheric monitoring, proposes a random angle generator, and performs its verification using the example of generating a sample with a bimodal distribution. To evaluate the adequacy of the theoretical and empirical probability distributions of the random angle, the Kolmogorov criterion is used. The developed generator makes it possible to obtain samples of random angles with distributions defined analytically, by a table or graph (histogram), and can be used for testing algorithmic and software support in systems for statistical analysis of circular data.