• DocumentCode
    583297
  • Title

    Optimal input design for sensitivity analysis of microalgal bioreactor systems

  • Author

    Yoo, Sung Jin ; Oh, Se-Kyu ; Lee, Jong Min

  • Author_Institution
    Sch. of Chem. & Biol. Eng., Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    17-21 Oct. 2012
  • Firstpage
    1386
  • Lastpage
    1389
  • Abstract
    Microalgae are photosynthetic microorganisms with an ability to produce large amounts of oil that can be used directly as a high value bioactives or be used to synthesize biodiesel. In this study, a first principles ODE model for microalgae growth and neutral lipid synthesis proposed by Surisetty et al. (2010) is investigated for the purpose of maximizing the rate of microalgae growth and the amount of neutral lipid. The model has 6 states and 12 parameters and follows the assumption of Droop model which explains the growth as a two-step phenomenon; the uptake of nutrients is first occurred in the cell, and then use of intracellular nutrient to support cells growth. In this study, optimal input design (OED) using D-optimality criterion is performed to compute the optimal input profile which have a maximum information for the sensitivity analysis. Then, sensitivity anlaysis is performed to determine which parameters have a negligible effect on the model predictions.
  • Keywords
    bioreactors; sensitivity analysis; D optimality criterion; Droop model; intracellular nutrient; microalgae growth; microalgal bioreactor system; neutral lipid synthesis; optimal input design; photosynthetic microorganism; sensitivity analysis; Biofuels; Biological system modeling; Computational modeling; Mathematical model; Nitrogen; Sensitivity analysis; Droop model; Microalgae; optimal input design; sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2012 12th International Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-2247-8
  • Type

    conf

  • Filename
    6393052