Sky-scattered solar radiation based plume transmissivity measurement to quantify soot emissions from flares

Download
  1. (PDF, 1011 KB)
  2. Get@NRC: Sky-scattered solar radiation based plume transmissivity measurement to quantify soot emissions from flares (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1021/es1024838
AuthorSearch for: ; Search for: ; Search for: ; Search for:
TypeArticle
Journal titleEnvironmental science and technology
Volume44
Issue21
Pages81968202; # of pages: 7
AbstractFor gas flares typical of the upstream energy industry and similar point sources, most current methods for characterizing soot emissions are based on plume opacity rather than a quantitative measure of mass flux. The absence of more quantitative approaches is indicative of the inherent complexity of soot and the difficulties in characterizing emissions in an unbounded plume. A new experimental approach has been developed for the investigation of soot emissions in industrial plumes. Referred to as sky-LOSA, the diagnostic permits evaluation of 2D spatially resolved monochromatic skylight transmissivity data over the width of a plume, where skylight intensities behind the plume are obtained via an interpolation algorithm. By using Rayleigh-Debye-Gans Fractal Aggregate theory to relate transmissivity data to soot concentrations, and with knowledge of the velocity of the plume, it is possible to quantify mass flow rates of soot in a plume. Experiments on an unconfined lab-scale soot plume were used to support a detailed uncertainty analysis under a wide range of conditions and to estimate sensitivity limits of the technique. Results suggest field measurements of soot emission from flare plumes should be possible with overall uncertainties of less than 32%. This represents a significant advancement over existing techniques based on opacity measurements.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Chemical Process and Environmental Technology
Peer reviewedYes
NRC number52314
NPARC number16352295
Export citationExport as RIS
Report a correctionReport a correction
Record identifier95b1c42e-3261-4e25-bc09-d959a5fc5e2b
Record created2010-11-09
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)
Date modified: