scholarly journals Expert study of emission monitoring equipment for Russian thermal power plants

Author(s):  
Ya A Tynchenko ◽  
I V Kovalev
Vestnik MEI ◽  
2021 ◽  
pp. 66-76
Author(s):  
Pavel V. Roslyakov ◽  
◽  
Saina A. Sivtseva ◽  

According to the Russian environmental legislation, all sources of atmospheric pollution at Category I industrial enterprises must necessarily be equipped with automatic systems for monitoring and accounting of marker pollutants emissions. Such industrial facilities include more than 100 thermal power plants. The list of marker pollutants has been established in the relevant industry information and technical reference books on the best available technologies (ITR BAT). The list of marker pollutants monitored at thermal power plants by automatic systems includes nitrogen oxides NOX, sulfur dioxide SO2, carbon monoxide CO, and solid fuel ash. The use of domestically produced measuring equipment for these purposes is set forth as a priority task. However, there is currently no systematic information about gas analysis systems available in the market. The measuring instruments are analyzed, and a database of domestic sampling and non-sampling gas analytical systems is set up, which includes the main methods and means of measuring pollutants emissions, the technical characteristics of which meet the requirements of regulatory documents, and which allows specialists to optimally choose measuring instruments for organizing a continuous emission monitoring system (CEMS) at thermal power plants, taking into account specific conditions and requirements. The Microsoft Access Relational Database Management System (DBMS), which is a flexible database management system, is used to create the database. The developed database of measuring instruments for emission monitoring includes equipment from 33 Russian companies. The DBMS enables the user to organize data in tabular form and produce requests for selecting certain specified parameters. Both basic and additional criteria for selecting measuring instruments can be included in the request form. The developed DBMS takes into account the measured parameters of medium, the measurement method and means, compliance with BAT, measurement ranges and errors, estimated and warranty service life, mass and dimensional characteristics, and cost and complexity of maintenance, all serving for the convenience of selecting and implementing CEMS at thermal power plants. An example of the choice of measuring instruments from the proposed database for monitoring the marker pollutants emissions for the MPEI thermal power plant using the optimal choice algorithm is given.


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