Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production

© 2016 Elsevier Ltd. The objective of this work is to conduct a parametric study on the design variables and flow distribution of a Continuous Stirred Tank Reactor (CSTR). The numerical solutions were obtained by using Lattice Boltzmann Method (LBM) technique. Three different designs of CSTR with Na...

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Main Authors: Satjaritanun P., Khunatorn Y., Vorayos N., Shimpalee S., Bringley E.
Format: Journal
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84956662790&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42041
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-420412017-09-28T04:24:52Z Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production Satjaritanun P. Khunatorn Y. Vorayos N. Shimpalee S. Bringley E. © 2016 Elsevier Ltd. The objective of this work is to conduct a parametric study on the design variables and flow distribution of a Continuous Stirred Tank Reactor (CSTR). The numerical solutions were obtained by using Lattice Boltzmann Method (LBM) technique. Three different designs of CSTR with Napier grass as substance were evaluated for mixing efficiency, vorticity, and flow behavior, Model 1: one propeller no baffle tank, Model 2: one propeller with baffles tank, and Model 3: double propellers with baffles tank. The results show that the fluid velocity and the direction of fluid motion play the major role on the mixing characteristic. The propellers, baffles plates, and stirring speeds are significant factors on the fluid direction and thus the mixing performance. The solid-liquid mixing efficiency can be calculated from the numerical results of Discrete Phase Model (DPM) by image analysis technique. The mixing efficiency of Models 1, 2, and 3 are 10.08%, 23.77% and 34.66%, respectively. The power numbers which indicate the power consumption of the system of Models 1, 2, and 3 are 0.91, 1.20 and 2.00, respectively. Therefore, Model 3 gives the best mixing efficiency but requires higher energy consumption. This work also characterized the mixing quality in various depth levels. The predictions implement along with the mixing efficiency in order to evaluate mixing efficiency of the system completely. 2017-09-28T04:24:52Z 2017-09-28T04:24:52Z 2016-03-01 Journal 09619534 2-s2.0-84956662790 10.1016/j.biombioe.2016.01.018 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84956662790&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42041
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2016 Elsevier Ltd. The objective of this work is to conduct a parametric study on the design variables and flow distribution of a Continuous Stirred Tank Reactor (CSTR). The numerical solutions were obtained by using Lattice Boltzmann Method (LBM) technique. Three different designs of CSTR with Napier grass as substance were evaluated for mixing efficiency, vorticity, and flow behavior, Model 1: one propeller no baffle tank, Model 2: one propeller with baffles tank, and Model 3: double propellers with baffles tank. The results show that the fluid velocity and the direction of fluid motion play the major role on the mixing characteristic. The propellers, baffles plates, and stirring speeds are significant factors on the fluid direction and thus the mixing performance. The solid-liquid mixing efficiency can be calculated from the numerical results of Discrete Phase Model (DPM) by image analysis technique. The mixing efficiency of Models 1, 2, and 3 are 10.08%, 23.77% and 34.66%, respectively. The power numbers which indicate the power consumption of the system of Models 1, 2, and 3 are 0.91, 1.20 and 2.00, respectively. Therefore, Model 3 gives the best mixing efficiency but requires higher energy consumption. This work also characterized the mixing quality in various depth levels. The predictions implement along with the mixing efficiency in order to evaluate mixing efficiency of the system completely.
format Journal
author Satjaritanun P.
Khunatorn Y.
Vorayos N.
Shimpalee S.
Bringley E.
spellingShingle Satjaritanun P.
Khunatorn Y.
Vorayos N.
Shimpalee S.
Bringley E.
Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production
author_facet Satjaritanun P.
Khunatorn Y.
Vorayos N.
Shimpalee S.
Bringley E.
author_sort Satjaritanun P.
title Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production
title_short Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production
title_full Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production
title_fullStr Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production
title_full_unstemmed Numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production
title_sort numerical analysis of the mixing characteristic for napier grass in the continuous stirring tank reactor for biogas production
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84956662790&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/42041
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