Computational Science Technical Note CSTN-204

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Photo-Penetration Depth Growth Dependence in an Agent-Based Photobioreactor Model

K. A. Hawick and A. V. Husselmann

Archived: 2013

Abstract

rowth of biological material such as bacteria for medical or other purposes is difficult to model generally. A number of competing processes occur in a typical bioreactor. We report on preliminary investigations of a lattice-based growth model for algal cells in a photobioreactor where photosynthesis is a key driving factor; but where the growth material must be held in a liquid suspension that imposes a limit on photo penetration. Using a variant of the Kawasaki exchange site growth dynamics we build a model that exhibits spatial asymmetries and emergent complexities. We study cell counts and cell densities as functions of time and photo penetration, and discuss possible bioreactor model extensions. We also present and discuss an acceleration of the model on Graphical Processing Units and various considerations necessary for parallelism of this.

Keywords: algae; Kawasaki model; diffusion; lattice; photosynthesis; bioreactor; gpu; CUDA

Full Document Text: PDF version.

Citation Information: BiBTeX database for CSTN Notes.

BiBTeX reference:

@INPROCEEDINGS{CSTN-204,
        author = {K. A. Hawick and A. V. Husselmann},
        title = {Photo-Penetration Depth Growth Dependence in an Agent-Based Photobioreactor
                Model},
        booktitle = {Proc. 14th International Conference on Bioinformatics and Computational
                Biology (BIOCOMP'13)},
        year = {2013},
        number = {CSTN-204},
        pages = {BIC4051},
        address = {Las Vegas, USA},
        month = {22-25 July},
        publisher = {WorldComp},
        institution = {Computer Science, Massey University, Auckland, New Zealand},
        keywords = {algae; Kawasaki model; diffusion; lattice; photosynthesis; bioreactor;
                gpu; CUDA},
        owner = {kahawick},
        timestamp = {2013.04.22}
}


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