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

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 r...

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Main Authors: Camilo Wilches, Maik Vaske, Kilian Hartmann, Michael Nelles
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/6/1179
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spelling doaj-59e98fa1b2784da4b50108851d42cd6a2020-11-25T02:16:03ZengMDPI AGEnergies1996-10732019-03-01126117910.3390/en12061179en12061179Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic DigestionCamilo Wilches0Maik Vaske1Kilian Hartmann2Michael Nelles3bwe Energiesysteme GmbH Co. KG, Zeppelinring 12-16, 26127 Friesoythe, Germanybwe Energiesysteme GmbH Co. KG, Zeppelinring 12-16, 26127 Friesoythe, GermanyDepartment of Engineering Science, University of Applied Sciences Aschaffenburg, Würzburger Str. 45, D-63743 Aschaffenburg, GermanyFaculty for Agricultural and Environmental Sciences, University of Rostock, Justus-von-Liebig-Weg 6, D-18059 Rostock, GermanyThis 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.https://www.mdpi.com/1996-1073/12/6/1179anaerobic digestionrepresentative samplingonline monitoringexperimental designpower-on-demand
collection DOAJ
language English
format Article
sources DOAJ
author Camilo Wilches
Maik Vaske
Kilian Hartmann
Michael Nelles
spellingShingle Camilo Wilches
Maik Vaske
Kilian Hartmann
Michael Nelles
Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic Digestion
Energies
anaerobic digestion
representative sampling
online monitoring
experimental design
power-on-demand
author_facet Camilo Wilches
Maik Vaske
Kilian Hartmann
Michael Nelles
author_sort Camilo Wilches
title Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic Digestion
title_short Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic Digestion
title_full Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic Digestion
title_fullStr Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic Digestion
title_full_unstemmed Representative Sampling Implementation in Online VFA/TIC Monitoring for Anaerobic Digestion
title_sort representative sampling implementation in online vfa/tic monitoring for anaerobic digestion
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2019-03-01
description 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.
topic anaerobic digestion
representative sampling
online monitoring
experimental design
power-on-demand
url https://www.mdpi.com/1996-1073/12/6/1179
work_keys_str_mv AT camilowilches representativesamplingimplementationinonlinevfaticmonitoringforanaerobicdigestion
AT maikvaske representativesamplingimplementationinonlinevfaticmonitoringforanaerobicdigestion
AT kilianhartmann representativesamplingimplementationinonlinevfaticmonitoringforanaerobicdigestion
AT michaelnelles representativesamplingimplementationinonlinevfaticmonitoringforanaerobicdigestion
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