• DocumentCode
    725684
  • Title

    Software vs. hardware approach to emissions monitoring

  • Author

    Smith, Keith ; Cole, Dawn

  • Author_Institution
    Rockwell Autom., Milwaukee, WI, USA
  • fYear
    2015
  • fDate
    14-18 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Many pulp and paper operations use hardware-based Continuous Emissions Monitoring systems (CEMS) to track boiler emissions. This hardware approach uses pumps, filters and analyzing instruments to draw emissions from the combustion equipment and measure their levels. Using hardware can be costly and time consuming as it requires daily deployments of calibration gases to confirm the system is providing accurate measurements. And when CEM s fail, data blackouts can occur. In addition, the life span of hardware is short, averaging eight to 10 years. Due to these factors, more and more industrial operators are abandoning hardware in favor of software for emissions monitoring. This software approach is often referred to as a predictive emissions monitoring system (PEMS). This tutorial compares the hardware and software approaches, and features a boiler application case study to showcase the financial advantages of the software approach.
  • Keywords
    air pollution measurement; boilers; combustion equipment; paper industry; production engineering computing; pulp manufacture; CEMS; PEMS; boiler emissions; calibration gas; combustion equipment; data blackouts; emission level measurement; filters; hardware approach; hardware life span; hardware-based continuous emission monitoring systems; predictive emission monitoring system; pulp-paper operations; pumps; software approach; Boilers; Companies; Hardware; Monitoring; Sensor systems; Software; CEMS; Emissions monitoring; PEMS; boiler emissions; environmental compliance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pulp and Paper Industry Conference (PPIC), 2015 61st IEEE
  • Conference_Location
    Milwaukee, WI
  • ISSN
    0190-2172
  • Print_ISBN
    978-1-4799-7113-8
  • Type

    conf

  • DOI
    10.1109/PPIC.2015.7165868
  • Filename
    7165868