期刊
BIORESOURCE TECHNOLOGY
卷 224, 期 -, 页码 523-530出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2016.10.080
关键词
Photobioreactors; Taylor-Couette flow; Microalgae; CFD; Simulation; Radiation transport
资金
- National Science Foundation [CBET-1236676]
- Directorate For Engineering
- Div Of Chem, Bioeng, Env, & Transp Sys [1236676] Funding Source: National Science Foundation
A comprehensive quantitative model incorporating the effects of fluid flow patterns, light distribution, and algal growth kinetics on biomass growth rate is developed in order to predict the performance of a Taylor vortex algal photobioreactor for culturing Chlorella vulgaris. A commonly used Lagrangian strategy for coupling the various factors influencing algal growth was employed whereby results from computational fluid dynamics and radiation transport simulations were used to compute numerous microorganism light exposure histories, and this information in turn was used to estimate the global biomass specific growth rate. The simulations provide good quantitative agreement with experimental data and correctly predict the trend in reactor performance as a key reactor operating parameter is varied (inner cylinder rotation speed). However, biomass growth curves are consistently over-predicted and potential causes for these over-predictions and drawbacks of the Lagrangian approach are addressed. (C) 2016 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据