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Thermal Engineering
Published in: Thermal Engineering 5/2023

01-05-2023 | WATER TREATMENT AND WATER CHEMISTRY

Methods for Diagnosing and Predicting the Behavior of Impurities over the Power Unit Path in the Cycle Chemistry-Monitoring Systems at Thermal Power Plants (Review)

Authors: O. V. Egoshina, S. K. Zvonareva, N. A. Bol’shakova

Published in: Thermal Engineering | Issue 5/2023

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Abstract—

Assurance of reliable and failure-free operation of power-generating equipment at thermal power plants is closely linked with improvement of methods for diagnosing and predicting the behavior of impurities over the process path of power units. The article discusses the current state and development prospects of techniques for diagnosing and predicting the behavior of impurities using cycle chemistry-monitoring systems. The application of mathematical models in such systems is studied, on the one hand, as a method for displaying the current information on the behavior of impurities over the power unit process path and, on the other hand, as a method for predicting their behavior. The possibility to use mathematical models when the water quality degrades, when the concentration of hydrocarbonates in the path increases, and also in analyzing the quality of ultrapure waters is examined. The article presents models based on the measurements of water sample conductivity upstream and downstream of the H-cation exchange filter, and pH values. The possibility to determine, by calculation, the rate of corrosion processes over the process path of a nuclear power plant unit using the hydrogen number, mass action law equations, material balance equations, and normalization conditions is analyzed. Impurity behavior prediction models based on neural networks are analyzed. The main types of mathematical models based on the water ionic composition, material balance, and neural networks that are used in cycle chemistry-monitoring systems are given; their advantages and drawbacks are pointed out, and current trends in the development of these models are formulated.
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Metadata
Title
Methods for Diagnosing and Predicting the Behavior of Impurities over the Power Unit Path in the Cycle Chemistry-Monitoring Systems at Thermal Power Plants (Review)
Authors
O. V. Egoshina
S. K. Zvonareva
N. A. Bol’shakova
Publication date
01-05-2023
Publisher
Pleiades Publishing
Published in
Thermal Engineering / Issue 5/2023
Print ISSN: 0040-6015
Electronic ISSN: 1555-6301
DOI
https://doi.org/10.1134/S0040601523050014

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