Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor

Ignas Daugela, Jurate Suziedelyte Visockiene, Jurate Kumpiene and Ivan Suzdalev
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Ignas Daugela: Department of Geodesy and Cadaster, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania
Jurate Suziedelyte Visockiene: Department of Geodesy and Cadaster, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania
Jurate Kumpiene: Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, 97187 Luleå, Sweden
Ivan Suzdalev: Antanas Gustaitis’ Aviation Institute, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania

Energies, 2021, vol. 14, issue 13, 1-15

Abstract: Global warming, as the result of the negative impact of humans on climate change, has been observed based on various data sources. Various measures have aimed to reduce anthropogenic factors, and also to lower carbon dioxide (CO 2 ) and methane CH 4 emissions. One of the main contributors to anthropogenic factors is organic waste in municipal solid waste landfills. There are many landfills where cost-effective rapid technologies for the identification and quantification of CH 4 emission sites are not applied. There is still a need for the development of accessible and cost-effective methods that react in a real-time manner for the rapid detection and monitoring of methane emissions. This paper’s main goal is to create a prototype sensor suitable for operational measurement of the gas value, suitable for integration into geodetic equipment or an unmanned aerial vehicle system. A sensor system (device) was developed, which consisted of three semiconductor sensors—MQ2, MQ4, and MQ135—which aimed to capture flammable gases (CO 2 , CH 4 , O 2 purity) and to evaluate the averages of the measured values from the components mounted on the board—the semiconductor sensors. The sensors were calibrated in a laboratory and tested in a closed landfill. The measurement data consisted of the read resistances (analog signal) from the MQ2, MQ4, and MQ135 sensors, and the relative humidity and the temperature (digital signal) of the DHT2 sensor with a timestamp calculated by the RTC module. The use of the method was confirmed because the sensors reacted as expected when placed in the vicinity of the gas collection well. Furthermore, the sensor will be tested and improved for field work in landfill sites.

Keywords: greenhouse gases; methane; regression analysis; sensor calibration; Arduino (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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