Literature DB >> 26402871

Characteristic time scales of mixing, mass transfer and biomass growth in a Taylor vortex algal photobioreactor.

Xi Gao1, Bo Kong1, R Dennis Vigil2.   

Abstract

Recently it has been demonstrated that algal biomass yield can be enhanced using fluid flow patterns known as Taylor vortices. It has been suggested that these growth rate improvements can be attributed to improved light delivery as a result of rapid transport of microorganisms between light and dark regions of the reactor. However, Taylor vortices also strongly impact fluid mixing and interphase (gas-liquid) mass transport, and these in turn may also explain improvements in biomass productivity. To identify the growth-limiting factor in a Taylor vortex algal photobioreactor, experiments were performed to determine characteristic time scales for mixing and mass transfer. By comparing these results with the characteristic time scale for biomass growth, it is shown that algal growth rate in Taylor vortex reactors is not limited by fluid mixing or interphase mass transfer, and therefore the observed biomass productivity improvements are likely attributable to improved light utilization efficiency.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Mass transfer; Photobioreactors; Taylor vortex reactor; Taylor–Couette flow

Mesh:

Year:  2015        PMID: 26402871     DOI: 10.1016/j.biortech.2015.09.013

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  A recycling culture of Neochloris oleoabundans in a bicarbonate-based integrated carbon capture and algae production system with harvesting by auto-flocculation.

Authors:  Chenba Zhu; Ruolan Zhang; Longyan Cheng; Zhanyou Chi
Journal:  Biotechnol Biofuels       Date:  2018-07-24       Impact factor: 6.040

2.  Hydrodynamic performance of floating photobioreactors driven by wave energy.

Authors:  Chenba Zhu; Zhanyou Chi; Chunwei Bi; Yunpeng Zhao; Haibo Cai
Journal:  Biotechnol Biofuels       Date:  2019-03-16       Impact factor: 6.040

  2 in total

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