Preprints
https://doi.org/10.5194/amt-2022-334
https://doi.org/10.5194/amt-2022-334
 
02 Jan 2023
02 Jan 2023
Status: this preprint is currently under review for the journal AMT.

A simultaneous CH4 and CO2 flux quantification method for industrial site emissions from in-situ concentration measurements on-board an Unmanned Aircraft Vehicle

Jean-Louis Bonne1, Ludovic Donnat2, Grégory Albora1, Jérémie Burgalat1, Nicolas Chauvin1, Delphine Combaz1, Julien Cousin1, Thomas Decarpenterie1, Olivier Duclaux2, Nicolas Dumelié1, Nicolas Galas2, Catherine Juery2, Florian Parent1, Florent Pineau2, Abel Maunoury2, Olivier Ventre2, Marie-France Bénassy2, and Lilian Joly1 Jean-Louis Bonne et al.
  • 1GSMA UMR 7331, Univerisité de Reims Champagne-Ardenne, CNRS, Reims, 51100, France
  • 2Air Quality Laboratory, TotalEnergies R&D, Solaize, 69360, France

Abstract. We developed an innovative tool to quantify CO2 and CH4 emissions at the scale of an industrial site, based on a mass balance approach relying on a newly developed light-weight (1.4 kg) open path laser absorption spectrometer operable on-board Unmanned Aircraft Vehicles (UAVs). This spectrometer simultaneously records in situ CO2 and CH4 concentrations at high frequency (24 Hz in this study) with precisions of 10 ppb for CH4 and 1 ppm for CO2 averaged at 1 Hz. The large range of measurable concentrations, up to 1000 ppm for CO2 and 200 ppm for CH4, makes this analyzer suitable for operation on industrial sites at a short distance from the emission sources, therefore avoiding many logistical and legal limits associated with most long-range airborne observations. To quantify the emissions, high spatial resolution atmospheric concentration measurements obtained throughout a plume cross-section downwind of a source within the limited UAV flight period are exploited by calculations using a mass balance approach. This high spatial resolution, allowed by the high acquisition frequency, limits the use of horizontal interpolation, thus gaining in precision compared to current airborne alternative quantification techniques.

A field validation campaign, conducted on the TotalEnergies TADI test platform at Lacq, France, consisted in controlled CO2 and CH4 leak experiments to which several institutes participated with various measurement systems (gas LiDAR, multispectral camera, infrared camera including concentrations and emissions quantification system, acoustic sensors, ground mobile and fixed Cavity RingDown Spectrometers). Our method was proved suitable to detect leaks during controlled release experiments with emission fluxes down to 0.01 g s−1, with 24 % of estimated CH4 fluxes within the −20 % to +20 % error range, 80 % of quantifications within the −50 % to +100 % error range and all of our results within the −69 % to +150 % error range. Such precision levels are better ranked than current top-down alternative techniques to quantify CH4 at comparable spatial scales.

Observations across the plume of two offshore oil and gas platforms operated by TotalEnergies in the North Sea were used to quantify the instantaneous greenhouse gases emissions of these facilities and are coherent with reference emissions for these platforms estimated by mass balance and combustion calculations for CO2. The operational deployment of such instruments and quantification methods, on a large scale and on a regular basis, potentially with fully autonomous UAVs, will allow the quantification of the time dependent greenhouse gases emissions of numerous oil and gas facilities.

Jean-Louis Bonne et al.

Status: open (until 07 Mar 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Jean-Louis Bonne et al.

Jean-Louis Bonne et al.

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Short summary
We present a top-down approach to quantify CO2 and CH4 emissions at the scale of an industrial site, based on a mass balance model relying on atmospheric concentrations measurements from a new sensor embarked on-board Unmanned Aircraft Vehicles (UAVs). We present a laboratory characterization of our sensor and a field validation of our quantification method, together with field application to the monitoring of two real-world offshore oil and gas platforms.