Design and evaluation of a low-cost sensor node for near-background methane measurement
<p>We developed a low-cost methane sensing node incorporating two metal oxide (MOx) sensors (Figaro Engineering TGS2611-E00 and TGS2600), humidity and temperature sensing, data storage, and telemetry. We deployed the prototype sensor alongside a reference methane analyzer at two sites: one out...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-04-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/17/2103/2024/amt-17-2103-2024.pdf |
| _version_ | 1797205837056311296 |
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| author | D. Furuta B. Wilson A. A. Presto J. Li |
| author_facet | D. Furuta B. Wilson A. A. Presto J. Li |
| author_sort | D. Furuta |
| collection | DOAJ |
| description | <p>We developed a low-cost methane sensing node incorporating two metal oxide (MOx) sensors (Figaro Engineering TGS2611-E00 and TGS2600), humidity and temperature sensing, data storage, and telemetry. We deployed the prototype sensor alongside a reference methane analyzer at two sites: one outdoors and one indoors. We collected data at each site for several months across a range of environmental conditions (particularly temperature and humidity) and methane levels. We explored calibration models to investigate the performance of our system and its suitability for methane background monitoring and enhancement detection, first selecting a linear regression to fit a sensor baseline response and then fitting methane response by the sensor deviation from baseline. We achieved moderate accuracy in a 2 to 10 ppm methane range compared to data from the reference analyzer (RMSE <span class="inline-formula"><</span> 0.6 ppm), but we found that the sensor response varied over time, possibly as a result of changes in non-targeted gas concentrations. We suggest that this cross sensitivity may be responsible for mixed results in previous studies. We discuss the implications of our results for the use of these and similar inexpensive MOx sensors for methane monitoring in the 2 to 10 ppm range.</p> |
| first_indexed | 2024-04-24T08:57:28Z |
| format | Article |
| id | doaj.art-58938d15fe94439f867ec78b52d262b7 |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-04-24T08:57:28Z |
| publishDate | 2024-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-58938d15fe94439f867ec78b52d262b72024-04-16T05:35:09ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482024-04-01172103212110.5194/amt-17-2103-2024Design and evaluation of a low-cost sensor node for near-background methane measurementD. Furuta0B. Wilson1A. A. Presto2J. Li3Department of Bioproducts and Biosystems Engineering, University of Minnesota, 1390 Eckles Ave., St Paul, MN 55108, USADepartment of Bioproducts and Biosystems Engineering, University of Minnesota, 1390 Eckles Ave., St Paul, MN 55108, USADepartment of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213, USADepartment of Mechanical and Aerospace Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA<p>We developed a low-cost methane sensing node incorporating two metal oxide (MOx) sensors (Figaro Engineering TGS2611-E00 and TGS2600), humidity and temperature sensing, data storage, and telemetry. We deployed the prototype sensor alongside a reference methane analyzer at two sites: one outdoors and one indoors. We collected data at each site for several months across a range of environmental conditions (particularly temperature and humidity) and methane levels. We explored calibration models to investigate the performance of our system and its suitability for methane background monitoring and enhancement detection, first selecting a linear regression to fit a sensor baseline response and then fitting methane response by the sensor deviation from baseline. We achieved moderate accuracy in a 2 to 10 ppm methane range compared to data from the reference analyzer (RMSE <span class="inline-formula"><</span> 0.6 ppm), but we found that the sensor response varied over time, possibly as a result of changes in non-targeted gas concentrations. We suggest that this cross sensitivity may be responsible for mixed results in previous studies. We discuss the implications of our results for the use of these and similar inexpensive MOx sensors for methane monitoring in the 2 to 10 ppm range.</p>https://amt.copernicus.org/articles/17/2103/2024/amt-17-2103-2024.pdf |
| spellingShingle | D. Furuta B. Wilson A. A. Presto J. Li Design and evaluation of a low-cost sensor node for near-background methane measurement Atmospheric Measurement Techniques |
| title | Design and evaluation of a low-cost sensor node for near-background methane measurement |
| title_full | Design and evaluation of a low-cost sensor node for near-background methane measurement |
| title_fullStr | Design and evaluation of a low-cost sensor node for near-background methane measurement |
| title_full_unstemmed | Design and evaluation of a low-cost sensor node for near-background methane measurement |
| title_short | Design and evaluation of a low-cost sensor node for near-background methane measurement |
| title_sort | design and evaluation of a low cost sensor node for near background methane measurement |
| url | https://amt.copernicus.org/articles/17/2103/2024/amt-17-2103-2024.pdf |
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