期刊文献+

气升循环分体式MBR的CFD模拟及优化 被引量:8

Simulation and optimization of airlift external circulation membrane bioreactor using CFD
下载PDF
导出
摘要 基于计算流体力学(CFD)方法,对气升循环分体式膜生物反应器(AL EC MBR)的关键结构参数与水力学参数的相关关系进行了模拟、优化和敏感性分析.研究结果表明,增加气液混合高度和曝气元件数量可提高混合液的混合程度及膜面流速、剪切力分布的均匀性,有利于膜污染控制;曝气器位置升高会使MBR流场分布的均匀性下降;混合液黏度的增加会降低混合液循环流速,但使膜组件中气液混合流的均匀度提高.在MBR膜组件中存在着混合液流速和剪切力分布中部区域高外部区域低的不均匀性,这种不均匀性是导致膜有效利用面积降低和水处理成本升高的重要流体力学因素. Simulation and optimization of airlift external circulation membrane bioreactor (AL EC MBR) were performed using computational fluid dynamics (CFD) in this paper. Four cases of MBRs with different configurations were simulated and the sensitivity analysis of their impacts on the velocity, shear stress, circulation rate of mixture in the MBR were presented. The results showed that larger distance from diffusers to membrane modules(height of gas-liquid mixing zone) was helpful to improve the velocity and shear stress at the membrane surfaces for membrane fouling control^the distribution of shear stress at the membrane surface in the membrane tank with 3 diffusers was more uniform than that of with 2 diffusers ~ higher position of the diffusers would result in more fluid dead zones under the diffusers in the membrane tank. It is also noted that higher viscosity of the mixture in the MBR will lower the circulation rate between the membrane unit and the aeration tank, but on the contrary, the distribution of air-liquid flowing over the membrane surfaces appeared more uniform. However, the fluid velocity and wall shear stress are always higher at the central sheets and much lower at the side ones in membrane module. The non-uniformity of gas-liquid flow though the channels between the membrane sheets is one major reason to lose effective filtration area of membranes, to lose productivity of treated water and to result in high energy consumption for MBR application.
出处 《膜科学与技术》 CAS CSCD 北大核心 2013年第4期107-119,共13页 Membrane Science and Technology
基金 国家自然科学基金(51278483)
关键词 计算流体力学 气升循环分体式膜生物反应器 构型优化 敏感性分析 膜污染控制 computational fluid dynamic airlift external circulation membrane bioreactor configuration optimization sensitivity analysis membrane fouling control
  • 相关文献

参考文献29

  • 1杨文静,樊耀波,徐国良,袁栋栋,于艳.膜生物反应器操作条件对EPS含量及膜污染的影响[J].膜科学与技术,2010,30(6):41-48. 被引量:11
  • 2Judd S.Judd C. The MER Book-Principles and appli?cations of membrane bioreactors for water and wastewater treatment[M]. UK: Elsevier. 201lo.
  • 3Meng F G. Chae S R. Drews A. etal. Recent advances in membrane bioreactors (MERs): Membrane fouling and membrane material[J]. Water Res. 2009. 43(6): 1489-1512.
  • 4Brannock M. Wang Y. Leslie G. Mixing characterisati?on of full-scale membrane bioreactors. CFD modelling with experimental validation[J]. Water Res. 2010. 44 (0): 3181-319lo.
  • 5Naessens W. Maere T. Ratkovich N. etal. Critical re?view of membrane bioreactor models Part 2: Hydrody?namic and integrated models[J]. Bioresource Technol , 2012. 122: 107-118.
  • 6谢龙汉,赵新宇,张炯明.AnsysCFX流体分析及仿真.北京:电子工业出版社,2012:1-2.
  • 7Ghidossi R. Veyret D. Moulin P. Computational fluid dynamics applied to membranes: State of the art and op?portunities[J]. Chern Eng Proc, 2006. 45(6): 437- 454.
  • 8Bohm L, Drews A. Prieske H. et al. The importance of fluid dynamics for MER fouling mitigation[J]. Biore?source Technol , 2012. 122: 50-6lo.
  • 9Ndinisa N V. Fane A G. Wiley D E. et al. Fouling control in a submerged flat sheet membrane system: Part II- Two-Phase flow characterization and CFD sim?ulations[J]. Sep Sci Technol , 2006. 41 (7): 1411- 1445.
  • 10Ratkovich N R. Nopens 1. Modelling hydrodynamics in MBR systems using computational fluid dynamics[AJ.JW A North American Membrane Research Con?ference. AbstractsfC]. 2008.

二级参考文献48

共引文献64

同被引文献82

引证文献8

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部