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On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis
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 system...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434307/ https://www.ncbi.nlm.nih.gov/pubmed/34502574 http://dx.doi.org/10.3390/s21175683 |
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author | Montazeri, Amir Zhou, Xiaochi Albertson, John D. |
author_facet | Montazeri, Amir Zhou, Xiaochi Albertson, John D. |
author_sort | Montazeri, Amir |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8434307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84343072021-09-12 On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis Montazeri, Amir Zhou, Xiaochi Albertson, John D. Sensors (Basel) Communication 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. MDPI 2021-08-24 /pmc/articles/PMC8434307/ /pubmed/34502574 http://dx.doi.org/10.3390/s21175683 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Montazeri, Amir Zhou, Xiaochi Albertson, John D. On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis |
title | On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis |
title_full | On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis |
title_fullStr | On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis |
title_full_unstemmed | On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis |
title_short | On the Viability of Video Imaging in Leak Rate Quantification: A Theoretical Error Analysis |
title_sort | on the viability of video imaging in leak rate quantification: a theoretical error analysis |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434307/ https://www.ncbi.nlm.nih.gov/pubmed/34502574 http://dx.doi.org/10.3390/s21175683 |
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