Cited by 40Fluid Dynamics and MixingAlgal biology and biofuel productionGranular flow and fluidized beds

Computational fluid dynamics simulation in scaling-up of airlift photobioreactor for astaxanthin production

Aslanbay Guler, Bahar, Deniz, Irem, Demirel, Zeliha, Imamoglu, Esra·2020·Journal of Bioscience and Bioengineering

Abstract

The unicellular green microalga Haematococcus pluvialis accumulates large amounts of the red ketocarotenoid astaxanthin. Aiming to cultivate these microalgae with high astaxanthin efficiency, cultivations were scaled-up from 1000 mL bottle to 2 L and 8 L airlift photobioreactor using volumetric power consumption rate (W/m 3) as scale up strategy. After cultivations, computational fluid dynamics (CFD) simulation was used to investigate the flow patterns, mixing efficiency and gas holdup profile within the 2 L photobioreactor. At the end, astaxanthin content was enhanced with increasing the cultivation volume and highest astaxanthin amount of 49.39 ± 1.64 mg/g cell was obtained in 8 L photobioreactor. Hydrodynamic characteristics of photobioreactor was simulated and gas holdup showed difference between the riser and the downcomer regions. Velocity profiles of air and medium had higher values inside the draft tube than obtained in downcomer region. However liquid circulation was achieved from draft tube to the downcomer, mixing was not provided effectively considering the turbulence kinetic energy. For the further research, some developments about column configuration, sparger diameter may be necessary to enhance the mixing characteristics.

Integrity signals

Registry

Crossref · 10.1016/j.jbiosc.2019.06.010

Cites

38 of 38 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The literature includes models for two-phase gas-liquid flows, solid-liquid flows, or three-phase gas-solid-liquid flows.

    “The literature includes models for two-phase gasliquid flows [17-19,25,39-42,44,45,125,135], solid-liquid flows [21,23,24,34,36-38,126] or three-phase gas-solid-liquid flows [19,26-31,136].”
  • The most commonly used drag models for gas-liquid flows in photobioreactor models are the Schiller-Naumann, Grace, Ishii-Zuber and Tomiyama models.

    “According to Table 2, the most commonly used drag models for gas-liquid flows are the Schiller-Naumann [17,25,27,29], Grace [45,135], Ishii-Zuber [18,19,26,136] and Tomiyama models [30,31,125]”

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Authors
Aslanbay Guler, B., Deniz, I., Demirel, Z., & Imamoglu, E.
Affiliations
Ege University (TR)
Venue
Journal of Bioscience and Bioengineering
Publisher
Elsevier BV
Published
2020-01
Volume
129
Issue
1
Pages
86-92
ISSN
  • 1347-4421 (ISSN-L)
  • 1389-1723
OpenAlex
W2962241699
Cited by
40
References
38
Citations by year
2026: 6 · 2025: 8 · 2024: 6 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 9
FWCI
1.41
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Bioscience and Bioengineering (publishedVersion)
  • PubMed (publishedVersion)
Funders
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Fluid Dynamics and Mixing
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Physical Sciences › Engineering › Computational Mechanics › Granular flow and fluidized beds
Keywords
astaxanthin production, Haematococcus pluvialis, airlift photobioreactor, scale-up, gas holdup, mixing efficiency, flow patterns, hydrodynamics, sparger, draft tube, downcomer, ketocarotenoids
MeSH terms
Chlorophyta, Kinetics, Light, Xanthophylls, Hydrodynamics, Microalgae, Photobioreactors

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