|Abstract Title:||Experience with measurements of Sulfur components including SO3 / H2SO4 for process control in coal fired power plants|
|Session Choice:||Gaseous species at low concentrations (HCl, HF, NH3, SO3, CH4, N2O, CHOH, TOC)|
|Presenter Name:||Mr Jörn Baasner|
|Co-authors:||Mrs Deborah Padwater|
Mr Dan Kietzer
Abstract Information :
The real-time, continuous measurement of SO3/H2SO4 in power plants has been a long discussed desire of the industry. An application has been developed to separately measure SO2, SO3 and H2SO4. With this analytical technique it is also possible to measure other gas components which are part of the flue gas exhaust at the same time.
Formation and emissions of SO3/H2SO4 can potentially lead to plant operation-related problems and environmental concerns. The emissions of SO3 from a boiler depend on a number of complex factors including coal sulfur content, combustion conditions, flue gas characteristics and which type of air pollution control devices (FGD/SCR/ESP) are being used. Real-time analysis of the SO3/H2SO4 concentration can assist plant engineers and operators in better control of process parameters. It also can be used to directly control injection of reduction reagents, such as Trona, Hydrated Lime and Sodium Bisulfate, leading to lower operating costs.
With the real-time continuous data collection, the plant operators can optimize the gas cleaning systems such as the flue gas desulfurization system (FGD), the fabric filter and the mercury removal system. Active control can be implemented to limit corrosion and the undesirable blue plume emitted from the stack can be avoided.
This application has proven that it correlates to the manual reference method (Method 8A - Determination of Sulfuric Acid Vapor or Mist and Sulfur Dioxide Emissions from Kraft Recovery Furnaces and the manual reference method can be used for field calibration of the continuous analyzer.
Results of this application within coal fired power plants will be shown. This includes stack gas monitoring as well as process monitoring data before and after fabric filter.