Abstract
This chapter proposes the optimization of batch microalgae cultures in artificially lighted photobioreactors . The strategy consists in controlling the incident light intensity so that the microalgae growth rate is maximized. Two approaches were developed and compared. In the first one, the ratio between the incident light intensity and the cell concentration (light-to-microalgae ratio) is optimized, either offline or online, and then maintained at its optimal value. In the second approach, the cells growth rate is maintained at its optimal value by means of nonlinear model predictive controller (NMPC). The proposed control strategies are illustrated and their efficiency is assessed, in simulation, for Chlamydomonas reinhardtii batch cultures. The proposed lumostatic operation strategies are shown to lead to a higher cell productivity and to a more efficient light utilization in comparison to conventional constant light operation approach.
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Notes
- 1.
Uses light as source of energy and the only carbon source is CO\(_2\).
- 2.
Continuous addition and withdrawal of medium during the culture.
- 3.
No addition or removal of medium during the culture. It is also called batch mode.
References
J. Abdollahi, S. Dubljevic, Lipid production optimization and optimal control of heterotrophic microalgae fed-batch bioreactor. Chem. Eng. Sci. 84, 619–627 (2012)
O. Bernard, Hurdles and challenges for modelling and control of microalgae for CO\(_2\) mitigation and biofuel production. J. Process Control 21, 1378–1389 (2011)
X. Chen, Q.Y. Goh, W. Tan, I. Hossain, W.N. Chen, R. Lau, Lumostatic strategy for microalgae cultivation utilizing image analysis and chlorophyll a content as design parameters. Bioresour. Technol. 102, 6005–6012 (2011)
P. Chevalier, D. Proulx, P. Lessard, W.F. Vincent, J. de la Noue, Nitrogen and phosphorus removal by high latitude mat-forming cyanobacteria for potential use in tertiary wastewater treatment. J. Appl. Phycol. 12, 105–112 (2000)
Y. Chisti, Biodiesel from microalgae. Biotechnol. Adv. 25, 294–306 (2007)
S.L. Choi, I.S. Suh, C.-G. Lee, Lumostatic operation of bubble column photobioreactors for Haematococcus pluvialis cultures using a specific light uptake rate as a control parameter. Enzyme Microb. Technol. 33, 403–409 (2003)
T.F. Coleman, Y. Li, An interior, trust region approach for nonlinear minimization subject to bounds. SIAM J. Optim. 6, 418–445 (1996)
P. Das, J.P. Obbard, Incremental energy supply for microalgae culture in a photobioreactor. Bioresour. Technol. 102, 2973–2978 (2011)
B. Degrenne, J. Pruvost, M. Titica, H. Takache, J. Legrand, Kinetic modeling of light limitation and sulphur deprivation effects in the induction of hydrogen production with Chlamydomonas reinhardtii Part II: Definition of Model-Based Protocols and Experimental Validation. Biotechnol. Bioeng. 108, 2288–2299 (2011)
D. Dochain (ed.), Automatic Control of Bioprocesses (ISTE and Wiley, London, 2008)
R. Fletcher, Practical Methods of Optimization, 2nd edn. (Wiley-Interscience, New York, 1987)
S. Fouchard, J. Pruvost, B. Degrenne, M. Titica, J. Legrand, Kinetic modeling of light limitation and sulfur deprivation effects in the induction of hydrogen production with Chlamydomonas reinhardtii: Part I. Model development and parameter identification. Biotechnol. Bioeng. 102, 232–245 (2009)
I. Havlik, P. Lindner, T. Scheper, K.F. Reardon, On-line monitoring of large cultivations of microalgae and cyanobacteria. Trends Biotechnol. 31, 406–414 (2013)
G. Ifrim, M. Titica, L. Boillereaux, S. Caraman, Feedback linearizing control of light-to-microalgae ratio in artificially lighted photobioreactors, in Computer Applications in Biotechnology Conference (Mumbai, India, 2013)
G.A. Ifrim, M. Titica, G. Cogne, L. Boillereaux, J. Legrand, S. Caraman, Dynamic pH model for autotrophic growth of microalgae in photobioreactor: a tool for monitoring and control purposes. AIChE J. 60, 585–599 (2014)
L. Jiang, S. Luo, X. Fan, Z. Yang, R. Guo, Biomass and lipid production of marine microalgae using municipal wastewater and high concentration of CO\(_2\). Appl. Energy 88, 3336–3341 (2011)
R. Kandilian, T.-C. Tsao, L. Pilon, Control of incident irradiance on a batch operated flat-plate photobioreactor. Chem. Eng. Sci. 119, 99–108 (2014)
M.K. Lam, K.T. Lee, A.R. Mohamed, Current status and challenges on microalgae-based carbon capture. Int. J. Greenh. Gas Control 10, 456–469 (2012)
H.-S. Lee, Z.-H. Kim, S.-E. Jung, J.-D. Kim, C.-G. Lee, Specific light uptake rate can be served as a scale-up parameter in photobioreactor operations. J. Microbiol. Biotechnol. 16, 1890–1896 (2006)
D.Q. Mayne, J.B. Rawlings, C.V. Rao, P.O.M. Scokaert, Constrained model predictive control: stability and optimality. Automatica 36, 789–814 (2000)
A. Pandey (ed.), Biofuels: Alternative Feedstocks and Conversion Processes (Academic Press, San Diego, 2011)
L. Pottier, J. Pruvost, J. Deremetz, J.F. Cornet, J. Legrand, C.G. Dussap, A fully predictive model for one-dimensional light attenuation by Chlamydomonas reinhardtii in a torus reactor. Biotechnol. Bioeng. 91, 569–582 (2005)
H. Takache, G. Christophe, J.F. Cornet, J. Pruvost, Experimental and theoretical assessment of maximum productivities for the microalgae Chlamydomonas reinhardtii in two different geometries of photobioreactors. Biotechnol. Prog. 26, 431–440 (2010)
S. Tebbani, F. Lopes, R. Filali, D. Dumur, D. Pareau, Nonlinear predictive control for maximization of CO\(_2\) bio-fixation by microalgae in a photobioreactor. Bioprocess Biosyst. Eng. 37, 83–97 (2014)
Acknowledgments
Authors wish to acknowledge support from the Romanian French research cooperation project PACBIO and from the French ANR Program “Algo-H2” ANR-10-BIOE-0004.
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Tebbani, S., Titica, M., Ifrim, G., Barbu, M., Caraman, S. (2015). Optimal Operation of a Lumostatic Microalgae Cultivation Process. In: Olaru, S., Grancharova, A., Lobo Pereira, F. (eds) Developments in Model-Based Optimization and Control. Lecture Notes in Control and Information Sciences, vol 464. Springer, Cham. https://doi.org/10.1007/978-3-319-26687-9_10
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