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On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis.
Montazeri, Amir; Zhou, Xiaochi; Albertson, John D.
Affiliation
  • Montazeri A; Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA.
  • Zhou X; School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA.
  • Albertson JD; School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA.
Sensors (Basel) ; 21(17)2021 Aug 24.
Article in En | MEDLINE | ID: mdl-34502574
Optical gas imaging through multispectral cameras is a promising technique for mitigation of methane emissions through localization and quantification of emissions sources. While more advanced cameras developed in recent years have led to lower uncertainties in measuring gas concentrations, a systematic analysis of the uncertainties associated with leak rate estimation have been overlooked. We present a systematic categorization of the involved uncertainties with a focus on a theoretical analysis of projection uncertainties that are inherent to this technique. The projection uncertainties are then quantified using Large Eddy Simulation experiments of a point source release into the atmosphere. Our results show that while projection uncertainties are typically about 5% of the emission rate, low acquisition times and observation of the gas plume at small distances from the emission source (<10 m) can amount to errors of about 20%. Further, we found that acquisition times on the order of tens of seconds are sufficient to significantly reduce (>50%) the projection uncertainties. These findings suggest robust procedures on how to reduce projection uncertainties, however, a balance between other sources of uncertainty due to operational conditions and the employed instrumentation are required to outline more practical guidelines.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants Type of study: Guideline Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: United States Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollutants Type of study: Guideline Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: United States Country of publication: Switzerland