Numerical Prediction of Algae Cell Mixing Feature in Raceway Ponds Using Particle Tracing Methods

被引：33

作者：

Ali, Haider ^{[1
]}

Cheema, Taqi A. ^{[1
]}

Yoon, Ho-Sung ^{[2
,3
]}

Do, Younghae ^{[4
,5
]}

Park, Cheol W. ^{[1
]}

机构：

[1] Kyungpook Natl Univ, Sch Mech Engn, Taegu 702701, South Korea

[2] Kyungpook Natl Univ, Dept Biol, Taegu 702701, South Korea

[3] Kyungpook Natl Univ, Adv Bioresource Res Ctr, Taegu 702701, South Korea

[4] Kyungpook Natl Univ, Dept Math, Taegu 702701, South Korea

[5] Kyungpook Natl Univ, KNU Ctr Nonlinear Dynam, Taegu 702701, South Korea

来源：

BIOTECHNOLOGY AND BIOENGINEERING | 2015年 / 112卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

algae cell distribution; mixing length; model coupling; residence time; turbulent mixing; MICROALGAE; FLOW; BIOMASS; WATER; EFFICIENCY; TURBULENCE; CULTURES; VOLUME;

D O I：

10.1002/bit.25443

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

In the present study, a novel technique, which involves numerical computation of the mixing length of algae particles in raceway ponds, was used to evaluate the mixing process. A value of mixing length that is higher than the maximum streamwise distance (MSD) of algae cells indicates that the cells experienced an adequate turbulent mixing in the pond. A coupling methodology was adapted to map the pulsating effects of a 2D paddle wheel on a 3D raceway pond in this study. The turbulent mixing was examined based on the computations of mixing length, residence time, and algae cell distribution in the pond. The results revealed that the use of particle tracing methodology is an improved approach to define the mixing phenomenon more effectively. Moreover, the algae cell distribution aided in identifying the degree of mixing in terms of mixing length and residence time. (C) 2014 Wiley Periodicals, Inc.

引用

页码：297 / 307

页数：11

共 34 条

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