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Title: Detection of carbon monoxide (CO) as a furnace byproduct using a rotating mask spectrometer.

Abstract

Sandia National Laboratories, in partnership with the Consumer Product Safety Commission (CPSC), has developed an optical-based sensor for the detection of CO in appliances such as residential furnaces. The device is correlation radiometer based on detection of the difference signal between the transmission spectrum of the sample multiplied by two alternating synthetic spectra (called Eigen spectra). These Eigen spectra are derived from a priori knowledge of the interferents present in the exhaust stream. They may be determined empirically for simple spectra, or using a singular value decomposition algorithm for more complex spectra. Data is presented on the details of the design of the instrument and Eigen spectra along with results from detection of CO in background N{sub 2}, and CO in N{sub 2} with large quantities of interferent CO{sub 2}. Results indicate that using the Eigen spectra technique, CO can be measured at levels well below acceptable limits in the presence of strongly interfering species. In addition, a conceptual design is presented for reducing the complexity and cost of the instrument to a level compatible with consumer products.

Authors:
; ;  [1];
  1. (Honeywell Federal Manufacturing & Technologies, Albuqueruque, NM)
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
903153
Report Number(s):
SAND2007-0667
TRN: US200720%%128
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 47 OTHER INSTRUMENTATION; AIR POLLUTION MONITORS; DESIGN; CARBON MONOXIDE; FURNACES; INDOOR AIR POLLUTION; AIR POLLUTION MONITORING; CONSUMER PRODUCTS; Consumer Product Safety; Sensors.; Carbon monoxide.; Furnaces.

Citation Formats

Sinclair, Michael B., Flemming, Jeb Hunter, Blair, Raymond, and Pfeifer, Kent Bryant. Detection of carbon monoxide (CO) as a furnace byproduct using a rotating mask spectrometer.. United States: N. p., 2006. Web. doi:10.2172/903153.
Sinclair, Michael B., Flemming, Jeb Hunter, Blair, Raymond, & Pfeifer, Kent Bryant. Detection of carbon monoxide (CO) as a furnace byproduct using a rotating mask spectrometer.. United States. doi:10.2172/903153.
Sinclair, Michael B., Flemming, Jeb Hunter, Blair, Raymond, and Pfeifer, Kent Bryant. Wed . "Detection of carbon monoxide (CO) as a furnace byproduct using a rotating mask spectrometer.". United States. doi:10.2172/903153. https://www.osti.gov/servlets/purl/903153.
@article{osti_903153,
title = {Detection of carbon monoxide (CO) as a furnace byproduct using a rotating mask spectrometer.},
author = {Sinclair, Michael B. and Flemming, Jeb Hunter and Blair, Raymond and Pfeifer, Kent Bryant},
abstractNote = {Sandia National Laboratories, in partnership with the Consumer Product Safety Commission (CPSC), has developed an optical-based sensor for the detection of CO in appliances such as residential furnaces. The device is correlation radiometer based on detection of the difference signal between the transmission spectrum of the sample multiplied by two alternating synthetic spectra (called Eigen spectra). These Eigen spectra are derived from a priori knowledge of the interferents present in the exhaust stream. They may be determined empirically for simple spectra, or using a singular value decomposition algorithm for more complex spectra. Data is presented on the details of the design of the instrument and Eigen spectra along with results from detection of CO in background N{sub 2}, and CO in N{sub 2} with large quantities of interferent CO{sub 2}. Results indicate that using the Eigen spectra technique, CO can be measured at levels well below acceptable limits in the presence of strongly interfering species. In addition, a conceptual design is presented for reducing the complexity and cost of the instrument to a level compatible with consumer products.},
doi = {10.2172/903153},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Feb 01 00:00:00 EST 2006},
month = {Wed Feb 01 00:00:00 EST 2006}
}

Technical Report:

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