Kinetic Modelling and Scaled-up Experimental Studies of Microalgal Fuels and Chemicals Production

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    Abstract

    Microalgal lipid production is a promising long-term feedstock for the biofuels industry. In this study, photoautotrophic microalgal growth in open ponds has been investigated for the purpose of developing a kinetic model for the optimization and scale-up of the microalgae cultivation process. A comprehensive kinetic modelling approach for Chlamydomonas Reinhardtii growth in open pond has been developed to predict biomass growth and lipid accumulation under simultaneous influence of nitrogen, temperature and light intensity. The kinetic model is based on a multiplicative model approach that assumes equal contribution of the aforementioned limiting factors. The
    developed model has been used in conjunction with in-house obtained experimental data to estimate model parameters and ultimately to enable the optimization of the microalgae cultivation in raceway open pond batch systems. Experiments were performed in 2 m3 open raceway ponds to define kinetic parameters of the scale-up level process manifested by nutrient and environmental parameters such as nitrogen, light and temperature. Scaled-up process simulations using such a comprehensive modelling framework will improve the competitiveness and sustainability of the microalgal biodiesel industry and will also enable the system industrial applicability and
    commercialization.
    Original languageEnglish
    Title of host publicationEuropean Symposium on Computer-Aided Process Engineering
    DOIs
    Publication statusPublished - 2017
    Event27th European Symposium on Computer-Aided Process Engineering - Barcelona, Spain
    Duration: 1 Oct 20175 Oct 2017
    http://www.wcce10.org/index.php/jointevents/escape27

    Conference

    Conference27th European Symposium on Computer-Aided Process Engineering
    Abbreviated titleESCAPE-27
    Country/TerritorySpain
    CityBarcelona
    Period1/10/175/10/17
    Internet address

    Keywords

    • Microalgae
    • bench scale
    • raceway pond
    • multi-parameter quantification

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