Analysis of green algal growth via dynamic model simulation and process optimization

Zhang, D; Chanona, EADR; Vassiliadis, VS; Tamburic, B

Analysis of green algal growth via dynamic model simulation and process optimization

Zhang, D Chanona, EADR Vassiliadis, VS Tamburic, B

Permalink

Publication Type:: Journal Article
Citation:: Biotechnology and Bioengineering, 2015, 112 (10), pp. 2025 - 2039
Issue Date:: 2015-10-01

Closed Access

	Filename	Description	Size
	15 B&B Dynamic models.pdf	Published Version	6.78 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, D	en_US
dc.contributor.author	Chanona, EADR	en_US
dc.contributor.author	Vassiliadis, VS	en_US
dc.contributor.author	Tamburic, B https://orcid.org/0000-0001-5720-9380	en_US
dc.date.available	2015-03-27	en_US
dc.date.issued	2015-10-01	en_US
dc.identifier.citation	Biotechnology and Bioengineering, 2015, 112 (10), pp. 2025 - 2039	en_US
dc.identifier.issn	0006-3592	en_US
dc.identifier.uri	http://hdl.handle.net/10453/36834
dc.description.abstract	© 2015 Wiley Periodicals, Inc. Chlamydomonas reinhardtii is a green microalga with the potential to generate sustainable biofuels for the future. Process simulation models are required to predict the impact of laboratory-scale growth experiments on future scaled-up system operation. Two dynamic models were constructed to simulate C. reinhardtii photo-autotrophic and photo-mixotrophic growth. A novel parameter estimation methodology was applied to determine the values of key parameters in both models, which were then verified using experimental results. The photo-mixotrophic model was used to accurately predict C. reinhardtii growth under different light intensities and in different photobioreactor configurations. The optimal dissolved CO2 concentration for C. reinhardtii photo-autotrophic growth was determined to be 0.0643 g·L-1, and the optimal light intensity for algal growth was 47 W·m-2. Sensitivity analysis revealed that the primary factor limiting C. reinhardtii growth was its intrinsic cell decay rate rather than light attenuation, regardless of the growth mode. The photo-mixotrophic growth model was also applied to predict the maximum biomass concentration at different flat-plate photobioreactors scales. A double-exposure-surface photobioreactor with a lower light intensity (less than 50 W·m-2) was the best configuration for scaled-up C. reinhardtii cultivation. Three different short-term (30-day) C. reinhardtii photo-mixotrophic cultivation processes were simulated and optimised. The maximum biomass productivity was 0.053 g·L-1·hr-1, achieved under continuous photobioreactor operation. The continuous stirred-tank reactor was the best operating mode, as it provides both the highest biomass productivity and lowest electricity cost of pump operation.	en_US
dc.relation.ispartof	Biotechnology and Bioengineering	en_US
dc.relation.isbasedon	10.1002/bit.25610	en_US
dc.subject.classification	Biotechnology	en_US
dc.subject.mesh	Chlamydomonas reinhardtii	en_US
dc.subject.mesh	Carbon Dioxide	en_US
dc.subject.mesh	Culture Media	en_US
dc.subject.mesh	Bioreactors	en_US
dc.subject.mesh	Biomass	en_US
dc.subject.mesh	Light	en_US
dc.subject.mesh	Models, Theoretical	en_US
dc.subject.mesh	Models, Biological	en_US
dc.subject.mesh	Heterotrophic Processes	en_US
dc.subject.mesh	Phototrophic Processes	en_US
dc.title	Analysis of green algal growth via dynamic model simulation and process optimization	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	112	en_US
utslib.for	0607 Plant Biology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
utslib.copyright.status	closed_access
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	112	en_US

Abstract:

© 2015 Wiley Periodicals, Inc. Chlamydomonas reinhardtii is a green microalga with the potential to generate sustainable biofuels for the future. Process simulation models are required to predict the impact of laboratory-scale growth experiments on future scaled-up system operation. Two dynamic models were constructed to simulate C. reinhardtii photo-autotrophic and photo-mixotrophic growth. A novel parameter estimation methodology was applied to determine the values of key parameters in both models, which were then verified using experimental results. The photo-mixotrophic model was used to accurately predict C. reinhardtii growth under different light intensities and in different photobioreactor configurations. The optimal dissolved CO2 concentration for C. reinhardtii photo-autotrophic growth was determined to be 0.0643 g·L-1, and the optimal light intensity for algal growth was 47 W·m-2. Sensitivity analysis revealed that the primary factor limiting C. reinhardtii growth was its intrinsic cell decay rate rather than light attenuation, regardless of the growth mode. The photo-mixotrophic growth model was also applied to predict the maximum biomass concentration at different flat-plate photobioreactors scales. A double-exposure-surface photobioreactor with a lower light intensity (less than 50 W·m-2) was the best configuration for scaled-up C. reinhardtii cultivation. Three different short-term (30-day) C. reinhardtii photo-mixotrophic cultivation processes were simulated and optimised. The maximum biomass productivity was 0.053 g·L-1·hr-1, achieved under continuous photobioreactor operation. The continuous stirred-tank reactor was the best operating mode, as it provides both the highest biomass productivity and lowest electricity cost of pump operation.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/36834