• DocumentCode
    2886312
  • Title

    Utilizing hyperspectral imagery to identify highly-reactive volatile organic compounds in combustion flare emissions

  • Author

    Taylor, Russell ; Panfili, R.

  • Author_Institution
    Spectral Sci., Inc., Burlington, MA, USA
  • fYear
    2012
  • fDate
    4-7 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The petroleum refining process utilizes the open-flame combustion of hydrocarbons by industrial flares to dispose of waste gas streams. These flares emit substantial quantities of greenhouse gases into the atmosphere. Efficient, but incomplete, combustion will also result in the emission of trace amounts of ozone-forming highly-reactive volatile organic compounds (HR-VOCs) and human carcinogens. There currently exists a need for continuous and autonomous monitoring and control technology to minimize emissions of HR-VOCs and human carcinogens from flare emissions. Monitoring flare emission is challenging due to the low concentrations of the species of interest and varying environmental conditions. We outline the acquisition of the spectroscopy necessary to interpret hyperspectral imagery obtained from observing combustion flares. We utilize spectroscopic databases when they exist and quantum chemistry computations when they do not. Comparisons of analytic results to experimental measurements are provided for a small number of molecules.
  • Keywords
    air pollution; hyperspectral imaging; remote sensing; autonomous monitoring; combustion flare emissions; continuous monitoring; environmental conditions; greenhouse gases; human carcinogens; hydrocarbon open-flame combustion; hyperspectral imagery; ozone-forming highly-reactive volatile organic compounds; petroleum refining process; spectroscopic databases; waste gas streams; Abstracts; Hyperspectral imaging; Indexes; Meteorology; Monitoring; Organic compounds; Industrial Pollution; Remote Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3405-8
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2012.6874230
  • Filename
    6874230