Modeling and simulation of microalgae derived hydrogen production in compact large scale photobioreactors

POSTER

Abstract

This study predicts microalgae derived hydrogen production in compact large scale photobioreactors (PBR). A transient mathematical model for the cultivation medium is developed. The tool determines the whole system temperature, and mass fractions distribution. A mathematical correlation is proposed to calculate the resulting effect on H$_{\mathrm{2}}$ production rate after genetically modifying the microalgae species. An indigenous microalgae strain was selected to be robust under different weather conditions. This strain was identified through rDNA sequence analysis, including ITS1, 5.8S and ITS2 (Internal Transcribed Spacer). The ITS analysis showed no genetic divergence between the utilized strain and \textit{Acutodesmus obliquus}. A coarse mesh was used (6048 volume elements) to obtain results for a large compact PBR (2m x 5m x 8m). The largest computational time required for obtaining results was 560 s. The numerical results for the wild species microalgal growth are validated by direct comparison to experiments. Tests were conducted in the laboratory to assess H$_{\mathrm{2}}$ production model numerical results, which are in good qualitative agreement with measurements. Therefore, the model could be used as an efficient tool for H$_{\mathrm{2}}$ production PBR systems design and control.

*CNPq

Authors

  • Jose Vargas

    • Florida State University
  • Fernando Dias

    • Idaho National Laboratory
  • Andre Mariano

    • Federal University of Parana
  • Wellington Balmant

    • Federal University of Parana
  • Marcos Rosa

    • Federal University of Parana
  • Daiani Savi

    • Federal University of Parana
  • Vanessa Kava

    • Federal University of Parana
  • Chirlei Glienke

    • Federal University of Parana
  • Juan Ordonez

    • Florida State University