Model-supported optimization of phototrophic growth in a stirred-tank photobioreactor.
A fuzzy-logic light attenuation model was developed and validated for a stirred-tank photobioreactor. Based on this model, local light intensities were used to calculate local specific growth rates of the cyanobacteria Synechococcus PCC 7942. The light regime for maximization of biomass space-time yield in a batch process was estimated using a genetic algorithm taking into account the integral average of the individual growth rates.
Franco-Lara
Ezequiel
E
Lehrstuhl für Bioverfahrenstechnik, Technische Universität München, Boltzmannstr. 15, 85748 Garching, Germany. e.franco-lara@tw-bs.de
Havel
Jan
J
Peterat
Frank
F
Weuster-Botz
Dirk
D
D000465:Algorithms; D018533:Biomass; D019149:Bioreactors; D001709:Biotechnology / Q000379:methods*; D002241:Carbohydrates / Q000737:chemistry; D003198:Computer Simulation; D017143:Fuzzy Logic; D005990:Glycerol / Q000737:chemistry; D008027:Light; D008957:Models, Genetic; D015233:Models, Statistical; D010788:Photosynthesis; D052817:Phototrophic Processes; D046940:Synechococcus / Q000378:metabolism; D013997:Time Factors
D002241:Carbohydrates; D005990:Glycerol