A Predictive NOx Monitoring System for Gas Turbines PUBLIC ACCESS

[+] Author Affiliations
W. S. Y. Hung

Solar Turbines Incorporated, San Diego, CA

Paper No. 91-GT-306, pp. V003T06A027; 7 pages
  • ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition
  • Volume 3: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations
  • Orlando, Florida, USA, June 3–6, 1991
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-7900-9
  • Copyright © 1991 by ASME


There is great interest in an alternative to the current rather expensive, high maintenance, weather sensitive, Continuous Emission Monitoring Systems (CEMS) or Continuous Emission Rate Monitoring Systems (CERMS) for stationary power sources. This is particularly relevant for smaller sources (<10 MW), as well as sites in remote areas and sites subject to extreme ambient conditions.

This paper describes the development of a predictive NOx monitoring system for industrial gas turbines. This type of system is currently being used as an alternative to in-stack CEMS or CERMS. This Predictive Emission Monitoring System (PEMS) utilizes a time-tested, proven mathematical model for NOx to verify the accuracy of a proven performance/emissions computer program which predicts NOx emissions from gas turbines based on measured ambient and turbine control parameters.

The technical background of this predictive NOx monitoring system and relevant experience are reviewed. The system design, including input and output, is described. A comparison of some technical issues between this predictive monitoring system and an actual typical in-stack NOx emission monitoring systems is also presented. A manual verification of the principle of this predictive system is reported.

Copyright © 1991 by ASME
This article is only available in the PDF format.



Interactive Graphics


Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In