膜生物反应器内生化反应过程的格子Boltzmann模拟

doi:10.19596/j.cnki.1001-246x.7732

计算物理 ›› 2018, Vol. 35 ›› Issue (5): 571-576.DOI: 10.19596/j.cnki.1001-246x.7732

膜生物反应器内生化反应过程的格子Boltzmann模拟

杨艳霞^1,2, 李静³

1. 太原理工大学热能工程系, 太原 030024;
2. 低品位能源利用技术及系统教育部重点实验室, 重庆大学, 重庆 400044;
3. 太原理工大学建筑与能源应用工程系, 太原 030024

收稿日期:2017-07-27 修回日期:2017-09-21 出版日期:2018-09-25 发布日期:2018-09-25
作者简介:杨艳霞,女,博士,主要从事流动,传热传质及数值计算方法的研究,E-mail:yangyanxia1225@163.com
基金资助:
国家自然科学基金（51506139）及低品位能源利用技术及系统教育部重点实验室开放基金（LLEUTS-201607）资助项目

Lattice Boltzmann Simulation of Flow and Mass Transfer in Membrane Bioreactor

YANG Yanxia^1,2, LI Jing³

1. Department of Thermal Engineering, Taiyuan University of Technology, Taiyuan 030024, China;
2. Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education of China, Chongqing University, Chongqing 400044, China;
3. Department of Building Environment and Energy Engineering, Taiyuan University of Technology, Taiyuan 030024, China

Received:2017-07-27 Revised:2017-09-21 Online:2018-09-25 Published:2018-09-25

摘要/Abstract

摘要： 采用介观尺度的格子Boltzmann数值算法研究平板式膜生物反应器内生物膜结构对生化反应及流动传输的影响.利用四参数随机生成法重构不同多孔结构的生物膜，计算中耦合多块模型获得局部详细信息且提高计算效率.结果表明：生物膜结构稳定条件下，孔隙率增大有利于主流区与生物膜内的物质传输，可以提高底物降解效率；孔隙率一定条件下，改变生物膜的孔隙结构分布可以加强传质，强化生化反应过程，提高底物降解效率.

关键词: 生物膜, 多孔介质, 生化反应, 数值重构

Abstract: Effect of biofilm structure on bioreaction as well as flow and mass transfer are investigated with lattice Boltzmann method (LBM) on meso-scale. Porous construction of biofilm is regenerated by Quartet Structure Generation Set (QSGS) method, and LB method is coupled with multi-block model to obtain detail information and save computational cost. It indicates that properly increasing porosity benefits mass transportation between main region and biofilm, and hence improve substrate consumption efficiency under condition of stable biofilm structure. At given porosity of biofilm, changing growth construction of biofilm can also promote mass transfer between inner and outer of biofilm, leading to higher substrate consumption efficiency.

Key words: biofilm, porous media, bioreaction, numerical regeneration

中图分类号:

TK91

杨艳霞, 李静. 膜生物反应器内生化反应过程的格子Boltzmann模拟[J]. 计算物理, 2018, 35(5): 571-576.

YANG Yanxia, LI Jing. Lattice Boltzmann Simulation of Flow and Mass Transfer in Membrane Bioreactor[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 35(5): 571-576.

参考文献

[1] DAS D, VEZIROGLU T N. Hydrogen production by biological processes:A survey of literature[J]. International Journal of Hydrogen Energy, 2001, 26:13-28.
[2] JAIN I P. Hydrogen fuel for the 21st century[J]. International Journal of Hydrogen Energy, 2009, 34:7368-7378.
[3] KARS G, GVNDVZ U. Towards a super H₂ producer:Improvements in photofermentative biohydrogen production by genetic manipulations[J]. International Journal of Hydrogen Energy, 2010, 35:6646-6656.
[4] ZHANG Z P, SHOW K Y, TAY J H, et al. Biohydrogen production with anaerobic fluidized bed reactors:A comparison of biofilm-based and granule-based systems[J]. International Journal of Hydrogen Energy, 2008, 33:1559-1564.
[5] KIM J O, KIM Y H, RYU J Y, et al. Immobilization methods for continuous hydrogen gas production biofilm formation versus granulation[J]. Process Biochemistry, 2005, 40:1331-1337.
[6] KHAN F, ENZMANN F, KERSTEN M, et al. 3D simulation of the permeability tensor in a soil aggregate on basis of nanotomographic imaging and lbe solver[J]. Journal of Soils and Sediments, 2012, 12:86-96.
[7] SULLIVAN S P, GLADDEN L F, JOHNS M L. 3D chemical reactor LB simulations[J]. Mathematics and Computers in Simulation, 2006, 72:206-211.
[8] SULLIVAN S P, SANI F M, JOHNS M L, et al. Simulation of packed bed reactors using lattice Boltzmann methods[J]. Chemical Engineering Science, 2005, 60:3405-3418.
[9] 何雅玲, 王勇, 李庆. 格子Boltzmann方法的理论及应用[M]. 北京:科学出版社, 2008.
[10] CHEN S, DOOLEN G D. Lattice Boltzmann method for fluid flows[J]. Annual Review of Fluid Mechanics, 1998, 30:329-364.
[11] SUCCI S. The lattice Boltzmann equation for fluid dynamics and beyond[M]. Oxford:Oxford University Press, 2001.
[12] 何雅玲, 李庆, 王勇, 等. 格子Boltzmann方法的工程热物理应用[J]. 科学通报, 2009, 54:2638-2656.
[13] 栾辉宝, 徐辉, 陈黎, 等. 有限容积法与格子Boltzmann方法耦合模拟传热流动问题[J]. 科学通报, 2010, 55:3128-3140.
[14] 赵凯, 宣益民, 李强. 基于格子Boltzmann方法的复杂多孔介质内双扩散效应的对流传热传质机理研究[J]. 科学通报, 2010, 55:94-102.
[15] XIE C Y, ZHANG J Y, WANG Mo. Lattice Boltzmann modeling of non-Newtonian multiphase fluid displacement[J]. Chinese Journal of Computational Physics, 2016, 33:147-155.
[16] WANG T T, GAO Q, CHEN J, et al. Lattice Boltzmann simulation of mixed convection in an enclosure filled with porous medium[J]. Chinese Journal of Computational Physics, 2017, 34:39-46.
[17] VERMA N, MEWES D. Lattice Boltzmann methods for simulation of micro and macrotransport in a packed bed of porous adsorbents under non-isothermal condition[J]. Computers & Mathematics with Applications, 2009, 58:1003-1014.
[18] RAUL M. Numerical simulations of surface reaction in porous media with lattice Boltzmann[J]. Chemical Engineering Science, 2012, 69:628-643.
[19] LEI T M, MENG X H, GUO Z L. Lattice Boltzmann study on influence of chemical reaction on mixing of miscible fluids with viscous instability in porous media[J]. Chinese Journal of Computational Physics, 2016, 33:399-409.
[20] WANG M, WANG J K, PAN N, et al. Mesoscopic predictions of the effective thermal conductivity for microscale random porous media[J]. Physical Review E, 2007, 75:036702.
[21] 杨艳霞, 廖强, 朱恂, 等. 绕流具有光合生化反应管束的格子Boltzmann模拟[J]. 化工学报, 2012, 63:2383-2391.
[22] FLEKKZY E G. Lattice bhatnagar-gross-krook models for miscible fluids[J]. Physical Review E, 1993, 47:4247.
[23] CHEN S, DAWSON S P, DOOLEN G D, et al. Lattice methods and their applications to reacting systems[J]. Computers & Chemical Engineering, 1995, 19:617-646.
[24] YU D Z, GIRIMAJI S S. Multi-block lattice Boltzmann method:Extension to 3d and validation in turbulence[J]. Physica A, 2006, 362:118-124.
[25] YU D Z, MEI R W, SHYY W. A multi-block lattice Boltzmann method for viscous fluid flows[J]. International Journal for Numerical Methods in Fluids, 2002, 39:99-120.
[26] 陈蓉, 杨艳霞, 廖强, 等. 绕流具有生化反应表面颗粒的三维格子Boltzmann模拟[J]. 工程热物理学报, 2013, 34:1539-1542.
[27] LIAO Q, LIU D M, YE D D, et al. Mathematical modeling of two-phase flow and transport in an immobilized-cell photobioreactor[J]. International Journal of Hydrogen Energy, 2011, 36:13939-13948.

膜生物反应器内生化反应过程的格子Boltzmann模拟

Lattice Boltzmann Simulation of Flow and Mass Transfer in Membrane Bioreactor

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