Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic Digestion

Camilo Wilches, Maik Vaske, Kilian Hartmann and Michael Nelles
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Camilo Wilches: bwe Energiesysteme GmbH Co. KG, Zeppelinring 12-16, 26127 Friesoythe, Germany
Maik Vaske: bwe Energiesysteme GmbH Co. KG, Zeppelinring 12-16, 26127 Friesoythe, Germany
Kilian Hartmann: Department of Engineering Science, University of Applied Sciences Aschaffenburg, Würzburger Str. 45, D-63743 Aschaffenburg, Germany
Michael Nelles: Faculty for Agricultural and Environmental Sciences, University of Rostock, Justus-von-Liebig-Weg 6, D-18059 Rostock, Germany

Energies, 2019, vol. 12, issue 6, 1-18

Abstract: This paper describes an automatic sampling system for anaerobic reactors that allows taking representative samples following the guidelines of Gy’s (1998) theory of sampling. Due to the high heterogeneity degree in a digester the sampling errors are larger than the analysis error, making representative sampling a prerequisite for successful process control. In our system, samples are automatically processed, generating a higher density of data and avoiding human error by sample manipulation. The combination of a representative sampling system with a commercial automate titration unit generates a robust online monitoring system for biogas plants. The system was successfully implemented in an operating biogas plant to control a feeding-on-demand biogas system.

Keywords: anaerobic digestion; representative sampling; online monitoring; experimental design; power-on-demand (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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