14 Air Monitoring
ENHANCING THE RELIABILITY OF EN 17255 DATA ACQUISITION AND HANDLING SYSTEMS
The management and reduction of industrial emissions plays a crucial role in improving the global environment and public health. Environmental regulations are growing more stringent every year, and to manage emissions, industries must fi rst accurately measure and report them.
The quality of Continuous Emissions Monitoring Systems (CEMS) is intrinsically linked to the quality of the data they capture. With increasing investments into CEMS, ensuring the reliability, availability, and quality assurance of the data generated is critical. Standards such as EN 15267, EN 14181 (including Quality Assurance Level (QAL) 1, QAL 2, QAL 3), the Industrial Emission Directive (IED) 2010, and MCERTS have addressed these needs. However, EN 17255 emerged as a comprehensive standard focused on enhancing the reliability and accuracy of Data Acquisition and Handling Systems (DAHS), essential for ensuring compliance and uniformity in emissions reporting across various industries.
Incorporating EN 17255 into DAHS offers multiple advantages. It provides clear guidelines for data handling and processing, and aids industries in effectively complying with environmental regulations. The standard ensures uniformity in emissions reporting and enhances the reliability of CEMS data through its strict guidelines.
EN 17255 specifi es a detailed data processing procedure, encompassing stages from raw data to QAL 3 corrections, First Level Data (FLD), Short Term Averages (STA), Long Term Averages (LTA), and tracking emission limits and availability. These steps are critical for ensuring accurate and reliable emissions reporting.
EN 17255 specifi es data processing using the following: raw data → QAL 3 corrections → First Level Data (FLD) (1min) → STA (30m, 1hr, exclude offl ine data ⅔ rule) → substitution for invalid data → QAL 2 gradient and offset → correction to standard reference conditions (O2%, 273.15K and 101.3kPa) → Long Term Averages (LTA) (block, rolling, 6hr, 12hr, 24hr, 72hr) → energy rates and mass emissions → deduct confi dence interval → track emission limits and availability.
Some facilities have their own requirements, for example applying an O2% correction at FLD versus STA, as well as when to subtract uncertainty.
This is why we implemented a fully confi gurable engine supporting custom averaging (STA, FLD, LTA), data normalisation, energy rates, mass emissions, emission limit tracking, availability, and uncertainty.
The data processing and reporting is handled by Limedas, which is independent from the data collection software DCU. Changes such as new formulas and reports can be made to the system without affecting the data collection process. All calculations are performed on the fl y, as needed, which greatly simplifi es redundant synchronisation and data substitution.
The system is a dedicated, fully confi gurable, open platform that facilitates troubleshooting and updates by end users, incorporating the latest cybersecurity measures. Features like an electronic operator logbook ensure easy tracking and retrieval of system changes, alarms, and actions during audits.
Annual NOx mass emissions chart
Diagnostic information PEMS model AET ANNUAL BUYERS’ GUIDE 2024
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