Sensor-Based Analyzer for Continuous Emission Monitoring in Gas Pipeline Applications

Continuous emissions monitoring of gas turbine engines in pipeline service have typically been monitored using either laboratory derived instruments (CEMS), or predicted using data from low cost sensors on the engines and algorithms generated by mapping engine performance (PEMS). A new cost-effectiv...

Full description

Saved in:
Bibliographic Details
Published in:Journal of engineering for gas turbines and power 1998-04, Vol.120 (2), p.317-321
Main Authors: Schubert, P. F, Sheridan, D. R, Cooper, M. D, Banchieri, A. J
Format: Article
Language:English
Subjects:
Air pollution caused by fuel industries
Algorithms
Applied sciences
Carbon monoxide
Chemical sensors
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Gas emissions
Gas pipelines
Metering. Control
Monitoring
Nitrogen oxides
Oxygen
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Continuous emissions monitoring of gas turbine engines in pipeline service have typically been monitored using either laboratory derived instruments (CEMS), or predicted using data from low cost sensors on the engines and algorithms generated by mapping engine performance (PEMS). A new cost-effective system developed under a program sponsored by the Gas Research Institute (Chicago) combines the advantages of both systems to monitor engine emissions in gas transmission service. This hybrid system is a sensor-based analyzer that uses a sensor array, including a newly developed NOx sensor, to directly monitor NOx, CO, and O2 emissions at the stack. The gases are measured hot and wet, The new systems were installed and tested on a gas-fired Rolls Royce Spey turbine engine and on Ingersoll-Rand KVG-410 and Cooper GMVH-10 reciprocating engines in gas transmission service. These systems passed the Relative Accuracy Test (Part B) required under U.S. EPA regulations (40 CFR 60).
ISSN:0742-4795
1528-8919
DOI:10.1115/1.2818123