Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester

A review of the literature indicates that the understanding of the mixing phenomena in anaerobic digesters is limited and the ability to measure digester mixing characteristics is lacking. Moreover, rheological characteristics of the sludge are largely ignored. The need for a more thorough understan...

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Bibliographic Details
Main Author: Balcha, Daniel Asrat
Other Authors: Bibeau, Eric (Mechanical and Manufacturing Engineering
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/1993/23603
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spelling ndltd-MANITOBA-oai-mspace.lib.umanitoba.ca-1993-236032015-01-24T03:48:11Z Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester Balcha, Daniel Asrat Bibeau, Eric (Mechanical and Manufacturing Engineering Derksen, Robert (Mechanical and Manufacturing Engineering) Cicek, Nazim (Biosystems Engineering) Fasina, Oladiran (Biosystems Engineering, Auburn University) manure flow microbial community disintegration of particles Total solids hydrogen-utilizing bacteria bacteria A review of the literature indicates that the understanding of the mixing phenomena in anaerobic digesters is limited and the ability to measure digester mixing characteristics is lacking. Moreover, rheological characteristics of the sludge are largely ignored. The need for a more thorough understanding of fundamental mixing relationships and the ability to measure these relationships in the anaerobic digester is recognized. To this end, investigations using experimental and numerical methods to visualize flow patterns and quantify mixing that impact biogas yields is reported. Results from this research identifies optimum mixing regimes for digesters depending on their sludge rheology, operational regimes, digester dimensions and mixing systems, and also produces an industrial guide to improve digester design. The results show that in order to accurately predict the optimum mixing regime for a particular anaerobic digester, it is necessary to determine to what extent biogas output is dependent upon, and can be influenced by flow patterns in an anaerobic digester. These flows are in turn determined by physical characteristics of the digester, the feed regime, the mixing system and the rheological properties of the sludge. Mixing regimes are tailored to produce flow patterns that could potentially increase biogas production and/or reduce mixing energy input of the digester. An all-inclusive anaerobic digester model is developed and validated using advanced experimental techniques that can be used to optimize the digestion process in terms of physical and biological parameters. In either case, the model provides an ongoing management of anaerobic digester process to improve overall energy yield from the digester and reduce its environmental impact. 2014-05-27T15:53:52Z 2014-05-27T15:53:52Z 2014-05-27 http://hdl.handle.net/1993/23603
collection NDLTD
sources NDLTD
topic manure flow
microbial community
disintegration of particles
Total solids
hydrogen-utilizing bacteria
bacteria
spellingShingle manure flow
microbial community
disintegration of particles
Total solids
hydrogen-utilizing bacteria
bacteria
Balcha, Daniel Asrat
Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester
description A review of the literature indicates that the understanding of the mixing phenomena in anaerobic digesters is limited and the ability to measure digester mixing characteristics is lacking. Moreover, rheological characteristics of the sludge are largely ignored. The need for a more thorough understanding of fundamental mixing relationships and the ability to measure these relationships in the anaerobic digester is recognized. To this end, investigations using experimental and numerical methods to visualize flow patterns and quantify mixing that impact biogas yields is reported. Results from this research identifies optimum mixing regimes for digesters depending on their sludge rheology, operational regimes, digester dimensions and mixing systems, and also produces an industrial guide to improve digester design. The results show that in order to accurately predict the optimum mixing regime for a particular anaerobic digester, it is necessary to determine to what extent biogas output is dependent upon, and can be influenced by flow patterns in an anaerobic digester. These flows are in turn determined by physical characteristics of the digester, the feed regime, the mixing system and the rheological properties of the sludge. Mixing regimes are tailored to produce flow patterns that could potentially increase biogas production and/or reduce mixing energy input of the digester. An all-inclusive anaerobic digester model is developed and validated using advanced experimental techniques that can be used to optimize the digestion process in terms of physical and biological parameters. In either case, the model provides an ongoing management of anaerobic digester process to improve overall energy yield from the digester and reduce its environmental impact.
author2 Bibeau, Eric (Mechanical and Manufacturing Engineering
author_facet Bibeau, Eric (Mechanical and Manufacturing Engineering
Balcha, Daniel Asrat
author Balcha, Daniel Asrat
author_sort Balcha, Daniel Asrat
title Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester
title_short Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester
title_full Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester
title_fullStr Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester
title_full_unstemmed Experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester
title_sort experimental and numerical investigation of the hydrodynamics of mixed anaerobic digester
publishDate 2014
url http://hdl.handle.net/1993/23603
work_keys_str_mv AT balchadanielasrat experimentalandnumericalinvestigationofthehydrodynamicsofmixedanaerobicdigester
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