Abstract Title: | Assessment of the uncertainty in reported data from CEMs under EN14181 |
Presenter Name: | Rod Robinson |
Company/Organisation: | National Physical Laboratory |
Country: | United Kingdom |
Abstract Information :
The quality assurance of Continuous Emissions Monitoring systems (CEM) used to report emissions under regulation such as the Industrial Emissions Directive (IED) is defined within a suite of European Standards including EN 14181, EN 15267 and EN 17255 and the suite of standard reference methods (SRMs) against which the CEM is calibrated. These provide the framework in which CEMs are assessed, calibrated and how the data are handled. There are a number of quality criteria within the IED and the CEN standards, for example maximum permissible uncertainties for the SRM, and criteria on the standard deviation of the calibration function in EN14181. The IED, which is currently under revision, defines quality criteria related to the uncertainty of the reported CEMS results (expressed as confidence intervals), and this is critical when comparing the CEMs results to emission limits. The revision of the IED is likely to firm up this requirement. There is, however, no defined procedure to determine the uncertainty of the AMS results, and member states have adopted various inconsistent approaches.
This presentation presents an assessment of the uncertainty in CEM results, and outlines a calculation approach. It describes the sources of uncertainty and explains the way these influence the AMS results. A calculation approach is given and comparisons is made to a comprehensive Monte Carlo model of the EN 14181 process.