Registration Number
0226U002728,
(0125U001299)
, R & D reports
Title
Scientific and applied approaches to process water purification processes
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Огляд та вдосконалення моделей та технічних схем
Head
Tarhonii Ivan M., к.т.н.
Registration Date
05-03-2026
Organization
National University of Water and Environmental Engineering
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Scientific substantiation of a set of rational resource-saving solutions to increase the efficiency of cleaning liquids from multi-component contamination, taking into account resource-saving measures, automated control and identification of unknown parameters
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The object of fundamental scientific research is the physicochemical processes of cleaning liquids from multicomponent contaminants in different-phase media.
The subject is a set of solutions and measures to increase the efficiency of water purification in technological processes and systems,
taking into account the economic efficiency of measures and their impact on the ecological safety of the environment.
The goal is to scientifically substantiate a set of rational resource-saving solutions to increase the efficiency of cleaning liquids from multicomponent contaminants, taking into account resource-saving measures, automated control and identification of unknown parameters.
The tasks to be solved by the project:
● based on scientific analysis, theoretical and experimental research, develop rational technological schemes for a set of wastewater treatment technologies and recommendations for designing a set of rational resource-saving technologies for intensification and optimization of the relevant processes;
● conduct research on electrocoagulation processes with various design and technological parameters and loads on the contaminants of the source wastewater;
● study of hydrodynamics in bioreactors, electrocoagulators, filters with porous loading of various geometric shapes and configurations, comparison of their characteristics;
● develop a comprehensive approach to modeling filtration processes, control and forecasting of complex purification systems using empirical-mathematical and neural network models based on the analysis of hydraulic, mass exchange, technological data to obtain maximum purification efficiency with high accuracy and reliability.
Product Description
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Mykhailo O. Kunytskyi
Mykhailo V. Boichura
Tarhonii Ivan M.
Reut Dmytro T.
Volodymyr Y. Besediuk
Roman Zaychuk
Serhii Polyukhovich
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2026-03-05
