CEM - Abstract

Abstract Information :

Emissions monitoring for large industrial facilities can be a daunting task if continuous emissions monitoring systems (CEMS) are used exclusively. Corporations that operate chemical and refinery or natural gas facilities onshore and offshore must install emission monitoring systems for NOx compliance and are also looking to monitor greenhouse gas emissions including CO2 and methane (CH4). The most common solution is a CEMS that typically includes a heated extractive sampling probe, heated sampling line, sample conditioning system, pumps, moisture removal equipment, and dryers along with the gas analyzers, programmable logic controllers, and data acquisition systems that require significant onsite maintenance or outsourced support. A predictive emissions monitoring system (PEMS), on the other hand, utilizes existing process instrument data from the installed control system. A deployed PEMS does not require additional ancillary equipment and extensive preventative maintenance. Typically, PEMS software runs on a computer and interfaces directly with the process instrumentation and control system. There is no analyzer or sampling system maintenance required for PEMS. This paper contains a discussion of the various types of advanced emission monitoring methods that can be used for predicting emission rates of primary pollutants and GHGs and the theory behind them. In addition, we will present some typical statistical hybrid PEMS systems that have been certified in the last couple of years in the United States and in Australia.