Abstract
Microalgae have the potential to be a major biofuel source in the future. Computational biology plays a key role in understanding biological processes within microalgae and optimizing biofuel production. Here, we present a multidisciplinary, multi-timescale modeling approach of microalgae growth in photobioreactors. Our modeling framework bridges biology (cell growth), physics (hydrodynamics and light distribution), and optimization together. This framework consists of (i) the state system (mass balance equations in form of advection-diffusion-reaction PDEs), (ii) the fluid flow equations (the Navier-Stokes equations), and (iii) the optimization problem formulation. The modeling and optimization of microalgae growth in a Couette-Taylor reactor is presented to demonstrate this method. We show how the flashing light effect can be an intrinsic part of the model. Finally, we discuss further methodological integration with the metabolomic-transcriptomic kinetic model, which explains cellular concentrations of key metabolites in connection with cell growth.
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References
Schugerl, K., Bellgardt, K.: Bioreaction Engineering, Modeling and Control. Springer, Heidelberg (2000)
Alvarez-Vázquez, L., Fernández, F.: Optimal control of bioreactor. Applied Mathematics and Computation 216, 2559–2575 (2010)
Muller-Feuga, A., Guédes, R.L., Pruvost, J.: Benefits and limitations of modeling for optimization of Porphyridium cruentum cultures in an annular photobioreactor. Journal of Biotechnology 103, 153–163 (2003)
Succi, S.: The Lattice Boltzmann equation. Oxford University Press (2001)
Štumbauer, V., Petera, K., Štys, D.: The lattice Boltzmann method in bioreactor design and simulation. Mathematical and Computer Modelling 57, 1913–1918 (2013)
Rehák, B., Čelikovský, S., Papáček, Š.: Model for photosynthesis and photoinhibition: Parameter identification based on the harmonic irradiation O 2 response measurement. Joint Special Issue of TAC IEEE and TCAS IEEE, 101–108 (2008)
Taylor, G.I.: Stability of a viscous liquid containing between two rotating cylinders. Phil. Trans. Royal Society 223, 289–343 (1923)
Papáček, Š., Štumbauer, V., Štys, D., Petera, K., Matonoha, C.: Growth impact of hydrodynamic dispersion in a couette-taylor bioreactor. Mathematical and Computer Modelling 54, 1791–1795 (2011)
Eilers, P., Peeters, J.: Dynamic behaviour of a model for photosynthesis and photoinhibition. Ecological Modelling 69, 113–133 (1993)
Terry, K.L.: Photosynthesis in modulated light: Quantitative dependence of photosynthetic enhancement on flashing rate. Biotechnology and Bioengineering 28, 988–995 (1986)
Nedbal, L., Tichý, V., Xiong, F., Grobbelaar, J.: Microscopic green algae and cyanobacteria in high-frequency intermittent light. J. Appl. Phycol. 8, 325–333 (1996)
Papáček, Š., Čelikovský, S., Štys, D., Ruiz-León, J.: Bilinear system as modelling framework for analysis of microalgal growth. Kybernetika 43, 1–20 (2007)
Wu, X., Merchuk, J.: A model integrating fluid dynamics in photosynthesis and photoinhibition processes. Chemical Engineering Science 56, 3527–3538 (2001)
Jablonský, J., Hagemann, M., Schwarz, D., Wolkenhauer, O.: Phosphoglycerate mutases function as reverse regulated isoenzymes in synechococcus elongatus pcc 7942. PLOS One 8, e58281 (2013)
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Papáček, Š., Jablonský, J.J., Petera, K., Rehák, B., Matonoha, C. (2015). Modeling and Optimization of Microalgae Growth in Photobioreactors: A Multidisciplinary Problem. In: Sanayei, A., E. Rössler, O., Zelinka, I. (eds) ISCS 2014: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-10759-2_29
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DOI: https://doi.org/10.1007/978-3-319-10759-2_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10758-5
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