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Application research of computational mass-transfer differential equation in MBR concentration field simulation
After conducting the intensive research on the distribution of fluid’s velocity and biochemical reactions in the membrane bioreactor (MBR), this paper introduces the use of the mass-transfer differential equation to simulate the distribution of the chemical oxygen demand (COD) concentration in MBR m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909695/ https://www.ncbi.nlm.nih.gov/pubmed/27375999 http://dx.doi.org/10.1186/s40064-016-2324-0 |
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author | Li, Chunqing Tie, Xiaobo Liang, Kai Ji, Chanjuan |
author_facet | Li, Chunqing Tie, Xiaobo Liang, Kai Ji, Chanjuan |
author_sort | Li, Chunqing |
collection | PubMed |
description | After conducting the intensive research on the distribution of fluid’s velocity and biochemical reactions in the membrane bioreactor (MBR), this paper introduces the use of the mass-transfer differential equation to simulate the distribution of the chemical oxygen demand (COD) concentration in MBR membrane pool. The solutions are as follows: first, use computational fluid dynamics to establish a flow control equation model of the fluid in MBR membrane pool; second, calculate this model by adopting direct numerical simulation to get the velocity field of the fluid in membrane pool; third, combine the data of velocity field to establish mass-transfer differential equation model for the concentration field in MBR membrane pool, and use Seidel iteration method to solve the equation model; last but not least, substitute the real factory data into the velocity and concentration field model to calculate simulation results, and use visualization software Tecplot to display the results. Finally by analyzing the nephogram of COD concentration distribution, it can be found that the simulation result conforms the distribution rule of the COD’s concentration in real membrane pool, and the mass-transfer phenomenon can be affected by the velocity field of the fluid in membrane pool. The simulation results of this paper have certain reference value for the design optimization of the real MBR system. |
format | Online Article Text |
id | pubmed-4909695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-49096952016-07-01 Application research of computational mass-transfer differential equation in MBR concentration field simulation Li, Chunqing Tie, Xiaobo Liang, Kai Ji, Chanjuan Springerplus Research After conducting the intensive research on the distribution of fluid’s velocity and biochemical reactions in the membrane bioreactor (MBR), this paper introduces the use of the mass-transfer differential equation to simulate the distribution of the chemical oxygen demand (COD) concentration in MBR membrane pool. The solutions are as follows: first, use computational fluid dynamics to establish a flow control equation model of the fluid in MBR membrane pool; second, calculate this model by adopting direct numerical simulation to get the velocity field of the fluid in membrane pool; third, combine the data of velocity field to establish mass-transfer differential equation model for the concentration field in MBR membrane pool, and use Seidel iteration method to solve the equation model; last but not least, substitute the real factory data into the velocity and concentration field model to calculate simulation results, and use visualization software Tecplot to display the results. Finally by analyzing the nephogram of COD concentration distribution, it can be found that the simulation result conforms the distribution rule of the COD’s concentration in real membrane pool, and the mass-transfer phenomenon can be affected by the velocity field of the fluid in membrane pool. The simulation results of this paper have certain reference value for the design optimization of the real MBR system. Springer International Publishing 2016-06-16 /pmc/articles/PMC4909695/ /pubmed/27375999 http://dx.doi.org/10.1186/s40064-016-2324-0 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Li, Chunqing Tie, Xiaobo Liang, Kai Ji, Chanjuan Application research of computational mass-transfer differential equation in MBR concentration field simulation |
title | Application research of computational mass-transfer differential equation in MBR concentration field simulation |
title_full | Application research of computational mass-transfer differential equation in MBR concentration field simulation |
title_fullStr | Application research of computational mass-transfer differential equation in MBR concentration field simulation |
title_full_unstemmed | Application research of computational mass-transfer differential equation in MBR concentration field simulation |
title_short | Application research of computational mass-transfer differential equation in MBR concentration field simulation |
title_sort | application research of computational mass-transfer differential equation in mbr concentration field simulation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909695/ https://www.ncbi.nlm.nih.gov/pubmed/27375999 http://dx.doi.org/10.1186/s40064-016-2324-0 |
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