Air Monitoring
Given the linguistic diversity in regions like the EU, multilingual support in DAHS is vital. The ability to switch between various languages enhances the system’s usability across different countries. Tracking Key Performance Indicators (KPIs) such as availability, operating time, analyser drift, relative accuracy, bias, uncertainty, linearity, device failures, maintenance, over range events, emission exceedances, energy, and emission rates is fundamental in assessing the system’s performance and reliability.
The system also allows unlimited tags and buffer storage, ensuring the security of all data for the project’s lifetime. Enhanced CEMS maintenance involves tracking diagnostics from instruments, generating alarms, sending emails, and performing corrective actions. The system can also function as a backup for the process control system. The capability to generate reports in multiple formats and upload them to FTP enhances the versatility of the system.
Expandability and fl exible hardware options mean that the system can combine emission sources cost-effectively, which centralises emissions data for easier reporting. The absence of a PLC requirement reduces associated costs and complexity.
Integrating automatic QAL 3 into CEMS DAHS signifi cantly improves reliability and effi ciency. This ongoing quality assurance process maintains the operational integrity of CEMS by ensuring compliance with required zero and span drift values. The process streamlines QAL 3 procedures, eliminating the need for manual intervention, thus offering cost-effective solutions.
Control charts like CUSUM, Shewhart, and EWMA are integral to QAL 3. They play a vital role in monitoring the performance of remote analysers, analysing instrument zero and span calibration checks, and detecting measurement drift within permissible limits. This continuous analysis is essential for swiftly identifying and correcting calibration errors or biases.
Automatic QAL 3 in CEMS DAHS not only improves the system’s reliability, but also ensures sustained compliance with evolving environmental standards and regulations. This technological progress signifi es a commitment to cleaner emissions and better air quality, refl ecting the ongoing evolution in environmental monitoring systems.
Predictive Emissions Monitoring (PEMS) plays a crucial role in enhancing the reliability of CEMS. PEMS can be used to backfi ll missing or invalid data and aid in forecasting future emissions, thus facilitating process optimisation and compliance. This predictive capability is integral in maintaining the high standards of emissions monitoring required by current regulations.
The enhancement of DAHS reliability as per EN 17255 is not just a regulatory requirement. It is a strategic investment in environmental stewardship. By implementing advanced data processing techniques, ensuring data immutability and redundancy, and integrating systems like PEMS, industries can achieve a high degree of accuracy and reliability in emissions monitoring. As environmental regulations become increasingly stringent, the role of robust and reliable DAHS will become ever more critical in ensuring compliance and protecting our environment.
Quarterly calibration report Author Contact Details
Serge Bays and Katherine Reurink, Limesoft Inc. • 1605-148 Fullarton Street, London, Ontario, Canada, N6A 5P3 • Tel: +1 226 289 2076 ext. 102 • Email:
sbays@limesoft.ca • Web:
www.limesoft.ca
Serge Bays Katherine Reurink
15
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