Challenge:
To quantify emissions based on operating conditions of the boiler.

Solution:
Used Process Modeler to model boiler conditions vs. physical stack sensor readings.  The "virtual sensors" developed can be put on-line in real-time using our Process Intellect server software.

 

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The Methods
The customer extracted data from a real-time data historian and Process Modeler was used to model boiler conditions vs. physical stack sensor readings.

Results
This virtual sensor shows the estimated (blue) and actual (red) NOx emissions per million BTUs for a gas and oil fired power plant.  Data shown is "out-of-sample" (actual vs. estimated moisture on data not used to build the virtual sensor) and reflects true performance (93% accurate).  This virtual sensor can back up the physical sensor in case of fouling or failure and the difference between the virtual sensor and the physical sensor can be monitored for abnormalcy, leading to alerts for investigation or repair.