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@INPROCEEDINGS{Loomba:827134,
      author       = {Loomba, Varun and Huber, Gregor and von Lieres, Eric},
      title        = {{C}omputational analysis of hydrodynamics and light
                      distribution in photo-bioreactors for algae biomass
                      production},
      school       = {RWTH Aachen},
      reportid     = {FZJ-2017-01332},
      year         = {2016},
      abstract     = {Microalgae can be directly used in health food or as
                      bio-filters for waste water treatment. They also have
                      numerous commercial applications in cosmetics, aquaculture
                      and chemical industry as a source of highly valuable
                      molecules, e.g., polyunsaturated fatty acids [1]. Moreover,
                      they are increasingly recognized as a promising source for
                      biodiesel production [2]. To realize the full potential of
                      microalgae, optimal operating conditions for their
                      cultivation in photo-bioreactors (PBR) need to be identified
                      in order to maximize productivity, lipid content, and
                      efficiency of photosynthesis. The most important parameters
                      affecting PBR performance are reactor shape, light intensity
                      distribution, algae growth and other metabolic
                      properties.The presented study aims at analyzing
                      sensitivities to these parameters using Computational Fluid
                      Dynamics (CFD) simulations with the COMSOL Multiphysics
                      software. Specifically, flat panel photo-bioreactors with
                      turbulent mixing due to air sparging and one-sided lighting
                      are studied. First, flow profiles of both liquid and gas
                      phases are computed using the Euler-Euler approach for
                      analyzing the air sparging and detecting potential dead
                      zones. Then, light intensity distributions are calculated,
                      based on absorption and light scattering by algae and gas
                      bubbles. Subsequently, the paths of individual algae are
                      traced, and the environmental conditions they are exposed to
                      are recorded over time, in particular aeration and light
                      intensity. Statistical analysis of the particle traces is
                      performed combining the light exposure with an empirical
                      growth model for algae. Results of the above described
                      simulation stages will be presented and discussed.[1]
                      Spolaore et al.: Commercial applications of microalgae, J.
                      Biosci. Bioeng. 101 (2006): 87-96.[2] Bitog et al.:
                      Application of computational fluid dynamics for modeling and
                      designing photobioreactors for microalgae production: A
                      review, Comput. Electron. Agr. 76 (2011): 131-147.},
      month         = {Sep},
      date          = {2016-09-26},
      organization  = {9. Bundesalgenstammtisch 2016, Jülich
                       (Germany), 26 Sep 2016 - 27 Sep 2016},
      subtyp        = {Other},
      cin          = {IBG-2 / IBG-1},
      cid          = {I:(DE-Juel1)IBG-2-20101118 / I:(DE-Juel1)IBG-1-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/827134},
}