Imperial College London
Dr Andrea Bernardi

DrAndreaBernardi

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
//

Contact

 

a.bernardi13

 
 
//

Location

 

RODH 501Roderic Hill BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Bernardi:2014:10.1021/ie500523z,
author = {Bernardi, A and Perin, G and Sforza, E and Galvanin, F and Morosinotto, T and Bezzo, F},
doi = {10.1021/ie500523z},
journal = {Industrial && Engineering Chemistry Research},
pages = {6738--6749},
title = {An identifiable state model to describe light intensity influence on microalgae growth},
url = {http://dx.doi.org/10.1021/ie500523z},
volume = {53},
year = {2014}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Despite the high potential as feedstock for the production of fuels and chemicals, the industrial cultivation of microalgae still exhibits many issues. Yield in microalgae cultivation systems is limited by the solar energy that can be harvested. The availability of reliable models representing key phenomena affecting algae growth may help designing and optimizing effective production systems at an industrial level. In this work the complex influence of different light regimes on seawater alga Nannochloropsis salina growth is represented by first principles models. Experimental data such as in vivo fluorescence measurements are employed to develop the model. The proposed model allows description of all growth curves and fluorescence data in a reliable way. The model structure is assessed and modified in order to guarantee the model identifiability and the estimation of its parametric set in a robust and reliable way.
AU  - Bernardi,A
AU  - Perin,G
AU  - Sforza,E
AU  - Galvanin,F
AU  - Morosinotto,T
AU  - Bezzo,F
DO  - 10.1021/ie500523z
EP  - 6749
PY  - 2014///
SN  - 0888-5885
SP  - 6738
TI  - An identifiable state model to describe light intensity influence on microalgae growth
T2  - Industrial && Engineering Chemistry Research
UR  - http://dx.doi.org/10.1021/ie500523z
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000335086200019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/54419
VL  - 53
ER  -
Download