Imperial College London

ProfessorBenoitChachuat

Faculty of EngineeringDepartment of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

b.chachuat Website

 
 
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Location

 

609Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cameron:2011:10.3182/20110828-6-IT-1002.03196,
author = {Cameron, E and Mairet, F and Bernard, O and Ras, M and Lardon, L and Steyer, JP and Chachuat, B},
doi = {10.3182/20110828-6-IT-1002.03196},
journal = {IFAC Proceedings Volumes (IFAC-PapersOnline)},
pages = {5052--5057},
title = {Anaerobic digestion of microalgae: Identification for optimization and control},
url = {http://dx.doi.org/10.3182/20110828-6-IT-1002.03196},
volume = {44},
year = {2011}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Coupling an anaerobic digester to a microalgal culture is currently considered one of the most promising avenues towards the production of renewable bioenergy, either in the form of biodiesel or biogas. Accurate mathematical models are crucial tools to assess the potential of such coupled biotechnological processes and help optimize their design, operation and control. This paper focuses on the compartment of anaerobic digestion of microalgae. Using experimental data for the anaerobic digestion of Chlorella vulgaris, a grey-box model is developed that allows good prediction capabilities and retains low complexity. The proposed methodology proceeds in two steps, namely a structural and a parametric identification steps. The fitted model is then used to conduct preliminary optimization for the production of biogas from Chlorella vulgaris. The results provide some insight into the potential for bioenergy production from the digestion of microalgae and, more generally, the coupled process. © 2011 IFAC.
AU - Cameron,E
AU - Mairet,F
AU - Bernard,O
AU - Ras,M
AU - Lardon,L
AU - Steyer,JP
AU - Chachuat,B
DO - 10.3182/20110828-6-IT-1002.03196
EP - 5057
PY - 2011///
SN - 1474-6670
SP - 5052
TI - Anaerobic digestion of microalgae: Identification for optimization and control
T2 - IFAC Proceedings Volumes (IFAC-PapersOnline)
UR - http://dx.doi.org/10.3182/20110828-6-IT-1002.03196
VL - 44
ER -