Qualification and optimisation of a gas mixing apparatus for complex trace gas mixtures

Author:

Arendes Dennis1,Amann Johannes2,Tessier Cyril3,Brieger Oliver4,Schütze Andreas5ORCID,Bur Christian6ORCID

Affiliation:

1. Lab for Measurement Technology , Saarland University , University Campus, Building A5.1, 66123 Saarbrücken , Saarland , Germany

2. Lab for Measurement Technology , Saarland University , Campus, 66123 Saarbrücken , Germany

3. Lab for Measurement Technology , Saarland University , Lehrstuhl für Messtechnik Campus A5 1, 66123 Saarbrucken , Saarland , Germany

4. Saarbrücken , Germany

5. Lehrstuhl für Messtechnik , Universität des Saarlandes , Fachrichtung Systems Engineering, Campus A5.1, Raum 2.33, 66123 Saarbrücken , Germany

6. Lab for Measurement Technology , Saarland University Faculty of Natural Sciences and Technology , Campus A5 1, 66123 Saarbrucken , Germany

Abstract

Abstract A gas mixing apparatus (GMA) can provide well-defined gas mixtures, which are necessary to calibrate gas sensors for quantitative measurements. This article presents a novel modular GMA and especially the representative measurements carried out to qualify and quantify its performance. New methods were developed to optimise the GMA’s settling speed and to enable self-monitoring. The GMA is able to provide up to 14 individual test gases, each in a large concentration range from sub-parts-per-billion to hundreds of parts-per-million. Additionally, the relative humidity can be set. The system is able to provide stable gas mixtures in approximately 6 min. The entire control software is realised in Python, which determines the control setpoints of all relevant system components based on the concentration input of the user. A major focus was placed on minimising the time of a gas mixture exchange to confirm design and additional software optimisation. Also, a number of techniques are shown for the analytical quantification of the system, including analysis of thermal desorption tubes by an accredited laboratory, showing maximal contaminations of e.g. only 4.18 ppb ethanol. Finally, self-monitoring of the system using photoionization detectors (PID) is demonstrated as an addition to flow readback for internal leakage detection.

Funder

German Federal Ministry for Economic Affairs and Climate Action

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Instrumentation

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