Field testing the Raman gas composition sensor for gas turbine operation

Michael P. Buric, Benjamin T. Chorpening, Jessica C. Mullen, Joseph A. Ranalli, Steven D. Woodruff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

A gas composition sensor based on Raman spectroscopy using reflective metal lined capillary waveguides is tested under field conditions for feed-forward applications in gas turbine control. The capillary waveguide enables effective use of low powered lasers and rapid composition determination, for computation of required parameters to pre-adjust burner control based on incoming fuel. Tests on high pressure fuel streams show sub-second time response and better than one percent accuracy on natural gas fuel mixtures. Fuel composition and Wobbe constant values are provided at one second intervals or faster. The sensor, designed and constructed at NETL, is packaged for Class I Division 2 operations typical of gas turbine environments, and samples gas at up to 800 psig. Simultaneous determination of the hydrocarbons methane, ethane, and propane plus CO, CO 2, H 2O, H 2, N 2, and O 2 are realized. The capillary waveguide permits use of miniature spectrometers and laser power of less than 100 mW. The capillary dimensions of 1 m length and 300 μm ID also enable a full sample exchange in 0.4 s or less at 5 psig pressure differential, which allows a fast response to changes in sample composition. Sensor operation under field operation conditions will be reported.

Original languageEnglish (US)
Title of host publicationFiber Optic Sensors and Applications IX
Volume8370
DOIs
StatePublished - Jun 28 2012
EventFiber Optic Sensors and Applications IX - Baltimore, MD, United States
Duration: Apr 26 2012Apr 27 2012

Other

OtherFiber Optic Sensors and Applications IX
CountryUnited States
CityBaltimore, MD
Period4/26/124/27/12

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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