A Comparative Analysis of Using the pH and Ammonia Calculation Algorithms in the Chemical Monitoring Systems at Thermal Power Plants
The reliability of thermal and mechanical equipment is largely associated with the introduction of cycle chemistry monitoring systems (CCMS). It is the operation of these systems that helps maintain the main parameters within the standardized ranges in a significantly more reliable manner and decrease the failure rate at power plants. Modern CCMSs use, as input information, the data of automatic chemical monitoring, laboratory chemical control, and thermal process parameters. Unfortunately, the large volume of chemical monitoring performed with the help of laboratory chemical control analyzers is a factor that causes less reliable operation of CCMS. The present study is intended for operating staff and employees of design organizations with the aim to decrease the volume of laboratory chemical control and reduce the sampling points load in terms of sampling flowrate. The possibility of applying indirect algorithms for calculating the most widely used indicators, such as pH and ammonia concentration, based on electrical conductivity measurements of direct and H-cationated samples in automatic chemical monitoring systems is considered. The results of calculation carried out using three algorithms for pH and ammonia concentration for laboratory and field conditions are given. A comparison of the results obtained from using three different methods for calculating the standardized indicators proceeding from experimental data is carried out.