Active gas camera mass flow quantification (qOGI): Application in a biogas plant and comparison to state-of-the-art gas cams

Author:

Bergau M.1ORCID,Scherer B.1,Knoll L.2ORCID,Wöllenstein J.3

Affiliation:

1. Sensors Automation Lab, Endress+ Hauser Process Solutions (DE) GmbH 1 , Freiburg 79110, Germany

2. Deutsches Biomasseforschungszentrum gemeinnützige GmbH 2 , Leipzig 04347, Germany

3. Department of Gas and Process Technology, Fraunhofer IPM 3 , Freiburg 79110, Germany

Abstract

Gas cameras are primarily used to detect gas leaks, but their use has been increasingly extended to mass flow quantification (qOGI). We employ the previously published active illuminated gas camera [Bergau et al. “Real-time active-gas imaging of small gas leaks,” J. Sens. Sens. Syst. 12, 61–68 (2023) and Bergau et al. “Flow rate quantification of small methane leaks using laser spectroscopy and deep learning,” Process Saf. Environ. Prot. 182, 752–759 (2024)] in a real-world application for quantification, enhancing the camera with two new features: sensitivity adaptation and camera-gas distance detection. This technology was applied to a gas leak found in the pressure swing adsorption room of a biogas plant in Germany. We compare its performance with state-of-the-art quantification gas cameras (qOGI), such as Sensia Mileva 33. Such a comparison between active and passive gas cameras is possible for the first time due to the introduced sensitivity tuning. Additionally, we enclosed the gas leak and measure the methane concentration with a flame ionization detector, providing a gold standard for comparison. Our findings revealed relative offsets to our gold standard of −57% and +319% for the DAS-camera and the Sensia, respectively, suggesting that the accuracy of mass flow quantification could be improved through the use of active gas cameras.

Funder

Bundesministerium für Ernährung und Landwirtschaft

Publisher

AIP Publishing

Reference21 articles.

1. Leak detection methods—A technical review;Kumar,2019

2. Emission quantification via passive infrared optical gas imaging: A review;Energies,2022

3. D. Zimmerle , Final Report: Open-Source High Flow Sampler for Natural Gas Leak Quantification, California Air Resources Board, 2022.

4. Assessment of current methane emission quantification techniques for natural gas midstream applications;Atmos. Meas. Tech.,2024

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