ANALYSIS OF THE CARBONIZATION PROCESS OF AMMONIATED BRINE IN AMMONIA-SODA PRODUCTION

The work provides an analytical review of the current state of modeling and controlling the carbonization process of ammoniated brine. It analyzes modern methods of mathematical, simulation, and intelligent modeling of heat and mass transfer, hydrodynamics, carbonation kinetics, and crystallization. The paper considers the potential of using digital twins, neural network models, fuzzy logic devices, and hybrid models to improve forecasting accuracy and the adaptability of process solutions. Modern carbonation process control strategies are also considered. A detailed analysis is provided of predictive control (MPC), neuro-fuzzy controllers, decentralized and multivariate control systems that ensure stable column operation under disturbances, optimize energy consumption, and improve the quality of the final product. It has been demonstrated that the implementation of intelligent control methods and digital platforms within the “Industry 4.0” concept is a key factor in improving the efficiency and environmental friendliness of ammonia-soda production.

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