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Gas visualization of industrial hydrocarbon emissions

Sandsten, Jonas LU ; Edner, Hans LU and Svanberg, Sune LU (2004) In Optics Express 12(7). p.1443-1451
Abstract
Gases leaking from a polyethene plant and a cracker plant were visualized with the gas-correlation imaging technique. Ethene escaping from flares due to incomplete or erratic combustion was monitored. A leakage at a high-pressure reactor tank could be found and visualized by scanning the camera system over the industrial site. The image processing methods rely on the information from three simultaneously captured images. A direct and a gas-filtered infrared image are recorded with a split-mirror telescope through a joint band-pass filter. The resulting path-integrated gas concentration image, derived from the two infrared images, is combined with a visible image of the scene. The gas-correlation technique also has the potential to estimate... (More)
Gases leaking from a polyethene plant and a cracker plant were visualized with the gas-correlation imaging technique. Ethene escaping from flares due to incomplete or erratic combustion was monitored. A leakage at a high-pressure reactor tank could be found and visualized by scanning the camera system over the industrial site. The image processing methods rely on the information from three simultaneously captured images. A direct and a gas-filtered infrared image are recorded with a split-mirror telescope through a joint band-pass filter. The resulting path-integrated gas concentration image, derived from the two infrared images, is combined with a visible image of the scene. The gas-correlation technique also has the potential to estimate the flux in the gas plume by combining a wind vector map, derived by cross-correlating the images in time, with a calibrated gas path-integrated concentration image. The principles of the technique are outlined and its potential discussed. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Imaging systems : Infrared imaging, Remote sensing and sensors : Air pollution monitoring, Spectroscopy : Spectroscopy, infrared, Detectors : Infrared
in
Optics Express
volume
12
issue
7
pages
1443 - 1451
publisher
OSA
external identifiers
  • wos:000220640900031
  • scopus:2942737303
ISSN
1094-4087
language
English
LU publication?
yes
id
981bf951-944d-4f70-80b9-abea625076c7 (old id 282848)
alternative location
http://www.opticsinfobase.org/DirectPDFAccess/DC0CB79D-BDB9-137E-CAAF9B7DF90EDA8C_79469.pdf?da=1&id=79469&seq=0&CFID=4163577&CFTOKEN=67143891
date added to LUP
2007-10-26 13:24:40
date last changed
2017-01-29 04:07:57
@article{981bf951-944d-4f70-80b9-abea625076c7,
  abstract     = {Gases leaking from a polyethene plant and a cracker plant were visualized with the gas-correlation imaging technique. Ethene escaping from flares due to incomplete or erratic combustion was monitored. A leakage at a high-pressure reactor tank could be found and visualized by scanning the camera system over the industrial site. The image processing methods rely on the information from three simultaneously captured images. A direct and a gas-filtered infrared image are recorded with a split-mirror telescope through a joint band-pass filter. The resulting path-integrated gas concentration image, derived from the two infrared images, is combined with a visible image of the scene. The gas-correlation technique also has the potential to estimate the flux in the gas plume by combining a wind vector map, derived by cross-correlating the images in time, with a calibrated gas path-integrated concentration image. The principles of the technique are outlined and its potential discussed.},
  author       = {Sandsten, Jonas and Edner, Hans and Svanberg, Sune},
  issn         = {1094-4087},
  keyword      = {Imaging systems : Infrared imaging,Remote sensing and sensors : Air pollution monitoring,Spectroscopy : Spectroscopy,infrared,Detectors : Infrared},
  language     = {eng},
  number       = {7},
  pages        = {1443--1451},
  publisher    = {OSA},
  series       = {Optics Express},
  title        = {Gas visualization of industrial hydrocarbon emissions},
  volume       = {12},
  year         = {2004},
}