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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Online Access: | https://www.mdpi.com/1996-1073/12/6/1179 |
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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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1724893127731314688 |