Publikationsdatenbank

A wireless sensor network for low-cost monitoring of emissions (2023)

Art

Vortrag

Autoren

Janke, D.

Coorevits, K.

Umar, W.

Dragoni, F.

Brusselman, E.

Vangeyte, J.

Amon, T. (WE 10)

Amon, B.

Kongress

RAMIRAN 2023

Cambridge, UK, 12. – 14.09.2023

Quelle

18th International Conference, Cambridge, UK : book of abstracts

— S. 80

Sprache

Englisch

Verweise

URL (Volltext): https://resources.rskgroup.com/view/535287122/80/

Kontakt

Institut für Tier- und Umwelthygiene

Robert-von-Ostertag-Str. 7-13
14169 Berlin
+49 30 838 51845
tierhygiene@vetmed.fu-berlin.de

Abstract / Zusammenfassung

Introduction:
The bar climate plays a crucial role for animal welfare and emission management. Besides temperature and humidity, the monitoring greenhouse gases like methane (CH4) or carbon dioxide (CO2), and environmental relevant gases like ammonia (NH3) is of great importance to assess their emissions and to optimize and monitor management strategies towards their mitigation. In dairy farming, the measurement of CH4, COZ, and NH3 emissions requires the use of expensive gas analyzers and sampling devices. Thus, maasurements are often limited to few scientific focus barns and not suitable for a broad application, resulting in rather limited, often not representative databases. To overcome this gap, we developed a low cost wireless sensor notwork (LC WN) for the measurement of levels of air pollutants and emissions from livestock housing systems.

Methodology:
The LC WSN is equipped with a wireless sensor network, which consists of multiple nodes, spatially distributed inside the barn. Each node is equipped with low-cost sensors for CH4, NH3, and CO2 and the climate variables temperature, relative humidity, pressure, and lux. Tho low acquisition costs and the modular design allow an uncomplicated up-scaling of the system for parallel investigations of a large number of barns. In this study, the sensors for CH4, CO2, and NH3 were investigated for their ability to accurately measuro gas concentrations as the prerequisite for emission estimation. This was done first in the lab under controlled conditions with test gases for NH3 and CH4 under varied concentration levels. After that, the sensor network was installed in a naturally ventilated dairy barn in Germany. Gas concentrations for the estimation of emissions were measured in parallel with the low-cost sensor nodes and a reference method with a Fourier-Transform Infrared spectroscopy (FIR) gas analyzer. The measurements were carried out continuously for a duration of 12 days. The reference measurements were used to assess and validate the sensor network. The LC-SNW stayed in the barn for further measurements to assess long term stability and potential drifts.

Results and discussion:
For the averaged concentration levels over the measurement period, the low cost sensors agreed well with the reference system. Relative deviations lower than 7% for all three gases, with maximum peak deviations up to 32 % for COZ, 67 % for NH3, and 65 % for CH4, with strong Spearman correlations for CO2 and NH3 (pCO2=0.8, pNH3-0.68), and a rather weak correlation for CH4 withpCH4-0.24, were measured. Long-term measurements are ongoing; the results for long term stability will be presented at the conference.

Conclusion:
The LC WN was found to be suitable for (relative) trend monitoring of CO2 and NH3 concentrations and emission levels, and usable for the estimation of absolute values for air change assessments. Further investigation will be needed on the calibration for the CH4 sensor for lower concentration values and on potential interference with humidity and temperature.