Preprints
https://doi.org/10.5194/amt-2023-52
https://doi.org/10.5194/amt-2023-52
01 Nov 2023
 | 01 Nov 2023
Status: a revised version of this preprint is currently under review for the journal AMT.

Using metal oxide gas sensors for the estimate of methane controlled releases: reconstruction of the methane mole fraction time-series and quantification of the release rates and locations

Rodrigo Andres Rivera Martinez, Pramod Kumar, Olivier Laurent, Grégoire Broquet, Christopher Caldow, Ford Cropley, Diego Santaren, Adil Shah, Cécile Mallet, Michel Ramonet, Leonard Rivier, Catherine Juery, Olivier Duclaux, Caroline Bouchet, Elisa Allegrini, Hervé Utard, and Philippe Ciais

Abstract. Fugitive methane (CH4) emission occur in the whole chain of oil and gas production, from the extraction, transportation, storage and distribution. The detection and quantification of such emissions are conducted usually from surveys as close as possible to the source location. However, these surveys are labor intensive, costly and they do not provide continuous monitoring of the emissions. The deployment of permanent networks of sensors in the vicinity of industrial facilities would overcome the limitations of surveys by providing accurate estimates thanks to continuous sampling of the plumes. High precision instruments are too costly to deploy in such networks. Low-cost sensors like Metal oxide semiconductors (MOS) are presented as a cheap alternative for such deployments due to its compact dimensions and to its sensitivity to CH4. In this study we test the ability of two types of MOS sensors from the manufacturer Figaro® (TGS 2611-C00 and TGS 2611-E00) deployed in six chambers to reconstruct an actual signal from a source in open air corresponding to a series of controlled CH4 releases and we assess the accuracy of the emission estimates computed from reconstructed CH4 mole fractions from voltages measurements of these sensors. A baseline correction of the voltage linked to background variations is presented based on an iterative comparison of neighboring observations. Two reconstruction models were compared, multilayer perceptron (MLP) and 2nd degree polynomial, providing similar performances meeting our target requirement on all the chambers when the input variable is the TGS 2611-C00 sensor. The emission estimates were then computed using an inversion approach based on the adjoint of a Gaussian dispersion model obtaining promising results with an emission rate error of 25 % and a location error of 9.5 m.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Rodrigo Andres Rivera Martinez, Pramod Kumar, Olivier Laurent, Grégoire Broquet, Christopher Caldow, Ford Cropley, Diego Santaren, Adil Shah, Cécile Mallet, Michel Ramonet, Leonard Rivier, Catherine Juery, Olivier Duclaux, Caroline Bouchet, Elisa Allegrini, Hervé Utard, and Philippe Ciais

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-52', Anonymous Referee #1, 20 Nov 2023
    • AC1: 'Reply on RC1', Rodrigo Andres Rivera Martinez, 19 Apr 2024
  • RC2: 'Comment on amt-2023-52', Anonymous Referee #3, 24 Nov 2023
    • AC2: 'Reply on RC2', Rodrigo Andres Rivera Martinez, 19 Apr 2024
Rodrigo Andres Rivera Martinez, Pramod Kumar, Olivier Laurent, Grégoire Broquet, Christopher Caldow, Ford Cropley, Diego Santaren, Adil Shah, Cécile Mallet, Michel Ramonet, Leonard Rivier, Catherine Juery, Olivier Duclaux, Caroline Bouchet, Elisa Allegrini, Hervé Utard, and Philippe Ciais
Rodrigo Andres Rivera Martinez, Pramod Kumar, Olivier Laurent, Grégoire Broquet, Christopher Caldow, Ford Cropley, Diego Santaren, Adil Shah, Cécile Mallet, Michel Ramonet, Leonard Rivier, Catherine Juery, Olivier Duclaux, Caroline Bouchet, Elisa Allegrini, Hervé Utard, and Philippe Ciais

Viewed

Total article views: 494 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
365 99 30 494 25 21
  • HTML: 365
  • PDF: 99
  • XML: 30
  • Total: 494
  • BibTeX: 25
  • EndNote: 21
Views and downloads (calculated since 01 Nov 2023)
Cumulative views and downloads (calculated since 01 Nov 2023)

Viewed (geographical distribution)

Total article views: 495 (including HTML, PDF, and XML) Thereof 495 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 May 2024
Download
Short summary
This study explores the use of Metal Oxide Sensors (MOS) as a low-cost alternative for detecting and measuring CH4 emissions from industrial facilities. MOS were exposed to several controlled releases to test their accuracy in detecting and quantifying emissions. Two reconstruction models were compared, and emission estimates were computed using a Gaussian dispersion model. Findings show that MOS can provide accurate emission estimates with a 25 % emission rate error and a 9.5 m location error.