Dynamic modelling of high biomass density cultivation and biohydrogen production in different scales of flat plate photobioreactors

ABSTRACT This paper investigates the scaling‐up of cyanobacterial biomass cultivation and biohydrogen production from laboratory to industrial scale. Two main aspects are investigated and presented, which to the best of our knowledge have never been addressed, namely the construction of an accurate...

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Veröffentlicht in:Biotechnology and bioengineering 2015-12, Vol.112 (12), p.2429-2438
Hauptverfasser: Zhang, Dongda, Dechatiwongse, Pongsathorn, del Rio-Chanona, Ehecatl Antonio, Maitland, Geoffrey C., Hellgardt, Klaus, Vassiliadis, Vassilios S.
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container_end_page 2438
container_issue 12
container_start_page 2429
container_title Biotechnology and bioengineering
container_volume 112
creator Zhang, Dongda
Dechatiwongse, Pongsathorn
del Rio-Chanona, Ehecatl Antonio
Maitland, Geoffrey C.
Hellgardt, Klaus
Vassiliadis, Vassilios S.
description ABSTRACT This paper investigates the scaling‐up of cyanobacterial biomass cultivation and biohydrogen production from laboratory to industrial scale. Two main aspects are investigated and presented, which to the best of our knowledge have never been addressed, namely the construction of an accurate dynamic model to simulate cyanobacterial photo‐heterotrophic growth and biohydrogen production and the prediction of the maximum biomass and hydrogen production in different scales of photobioreactors. To achieve the current goals, experimental data obtained from a laboratory experimental setup are fitted by a dynamic model. Based on the current model, two key original findings are made in this work. First, it is found that selecting low‐chlorophyll mutants is an efficient way to increase both biomass concentration and hydrogen production particularly in a large scale photobioreactor. Second, the current work proposes that the width of industrial scale photobioreactors should not exceed 0.20 m for biomass cultivation and 0.05 m for biohydrogen production, as severe light attenuation can be induced in the reactor beyond this threshold. Biotechnol. Bioeng. 2015;112: 2429–2438. © 2015 The Authors. Biotechnology and Bioengineering Published by Wiley Peiodicals, Inc. A dynamic model was constructed to simulate cyanobacterial (Cyanothece sp. ATCC 51142) photo‐heterotrophic growth and biohydrogen production; a stable dynamic parameter estimation methodology was applied to guarantee the model accuracy. The model was used to estimate cyanobacterial growth and hydrogen production in different scales of flat‐plate photobioreactors. It is found that the efficient strategy to increase hydrogen production in laboratory scale processes is to seek the optimal operating conditions, while that in large scale processes is to select low‐chlorophyll mutants.
doi_str_mv 10.1002/bit.25661
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Two main aspects are investigated and presented, which to the best of our knowledge have never been addressed, namely the construction of an accurate dynamic model to simulate cyanobacterial photo‐heterotrophic growth and biohydrogen production and the prediction of the maximum biomass and hydrogen production in different scales of photobioreactors. To achieve the current goals, experimental data obtained from a laboratory experimental setup are fitted by a dynamic model. Based on the current model, two key original findings are made in this work. First, it is found that selecting low‐chlorophyll mutants is an efficient way to increase both biomass concentration and hydrogen production particularly in a large scale photobioreactor. Second, the current work proposes that the width of industrial scale photobioreactors should not exceed 0.20 m for biomass cultivation and 0.05 m for biohydrogen production, as severe light attenuation can be induced in the reactor beyond this threshold. Biotechnol. Bioeng. 2015;112: 2429–2438. © 2015 The Authors. Biotechnology and Bioengineering Published by Wiley Peiodicals, Inc. A dynamic model was constructed to simulate cyanobacterial (Cyanothece sp. ATCC 51142) photo‐heterotrophic growth and biohydrogen production; a stable dynamic parameter estimation methodology was applied to guarantee the model accuracy. The model was used to estimate cyanobacterial growth and hydrogen production in different scales of flat‐plate photobioreactors. It is found that the efficient strategy to increase hydrogen production in laboratory scale processes is to seek the optimal operating conditions, while that in large scale processes is to select low‐chlorophyll mutants.</description><identifier>ISSN: 0006-3592</identifier><identifier>EISSN: 1097-0290</identifier><identifier>DOI: 10.1002/bit.25661</identifier><identifier>PMID: 26041472</identifier><identifier>CODEN: BIBIAU</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Biohydrogen ; biohydrogen production ; Biomass ; biomass cultivation ; Biotechnology ; Chlorophyll ; Computer simulation ; Construction ; Cultivation ; Cyanobacteria - growth &amp; development ; Cyanobacteria - metabolism ; Cyanothece ; Dynamic models ; dynamic simulation ; Dynamics ; Hydrogen - metabolism ; Hydrogen production ; light attenuation ; Mathematical models ; Models, Theoretical ; Mutation ; photo-heterotrophic growth ; photobioreactor ; Photobioreactors - microbiology ; Simulation</subject><ispartof>Biotechnology and bioengineering, 2015-12, Vol.112 (12), p.2429-2438</ispartof><rights>2015 The Authors. 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Bioeng</addtitle><description>ABSTRACT This paper investigates the scaling‐up of cyanobacterial biomass cultivation and biohydrogen production from laboratory to industrial scale. Two main aspects are investigated and presented, which to the best of our knowledge have never been addressed, namely the construction of an accurate dynamic model to simulate cyanobacterial photo‐heterotrophic growth and biohydrogen production and the prediction of the maximum biomass and hydrogen production in different scales of photobioreactors. To achieve the current goals, experimental data obtained from a laboratory experimental setup are fitted by a dynamic model. Based on the current model, two key original findings are made in this work. First, it is found that selecting low‐chlorophyll mutants is an efficient way to increase both biomass concentration and hydrogen production particularly in a large scale photobioreactor. Second, the current work proposes that the width of industrial scale photobioreactors should not exceed 0.20 m for biomass cultivation and 0.05 m for biohydrogen production, as severe light attenuation can be induced in the reactor beyond this threshold. Biotechnol. Bioeng. 2015;112: 2429–2438. © 2015 The Authors. Biotechnology and Bioengineering Published by Wiley Peiodicals, Inc. A dynamic model was constructed to simulate cyanobacterial (Cyanothece sp. ATCC 51142) photo‐heterotrophic growth and biohydrogen production; a stable dynamic parameter estimation methodology was applied to guarantee the model accuracy. The model was used to estimate cyanobacterial growth and hydrogen production in different scales of flat‐plate photobioreactors. 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Bioeng</addtitle><date>2015-12</date><risdate>2015</risdate><volume>112</volume><issue>12</issue><spage>2429</spage><epage>2438</epage><pages>2429-2438</pages><issn>0006-3592</issn><eissn>1097-0290</eissn><coden>BIBIAU</coden><abstract>ABSTRACT This paper investigates the scaling‐up of cyanobacterial biomass cultivation and biohydrogen production from laboratory to industrial scale. Two main aspects are investigated and presented, which to the best of our knowledge have never been addressed, namely the construction of an accurate dynamic model to simulate cyanobacterial photo‐heterotrophic growth and biohydrogen production and the prediction of the maximum biomass and hydrogen production in different scales of photobioreactors. To achieve the current goals, experimental data obtained from a laboratory experimental setup are fitted by a dynamic model. Based on the current model, two key original findings are made in this work. 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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Biohydrogen
biohydrogen production
Biomass
biomass cultivation
Biotechnology
Chlorophyll
Computer simulation
Construction
Cultivation
Cyanobacteria - growth & development
Cyanobacteria - metabolism
Cyanothece
Dynamic models
dynamic simulation
Dynamics
Hydrogen - metabolism
Hydrogen production
light attenuation
Mathematical models
Models, Theoretical
Mutation
photo-heterotrophic growth
photobioreactor
Photobioreactors - microbiology
Simulation
title Dynamic modelling of high biomass density cultivation and biohydrogen production in different scales of flat plate photobioreactors
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