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Optimal control for micro-algae on a raceway model.

Todd Hurst1, Volker Rehbock1

  • 1Dept. of Mathematics and Statistics, Curtin University, Kent Street, Bentley, Perth, 6102, Western Australia.

Biotechnology Progress
|July 23, 2017
PubMed
Summary

This study optimizes algae growth for lipid production using numerical control methods. Researchers enhanced a model to improve lipid yield by adjusting variables like nitrogen and raceway depth.

Keywords:
microalgaemodelingoptimal controloptimizationraceway

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Area of Science:

  • Biotechnology and Bioengineering
  • Chemical Engineering
  • Algal Biotechnology

Background:

  • Algae are a promising source for sustainable lipid production.
  • Existing models require optimization for enhanced performance under variable conditions.

Purpose of the Study:

  • To optimize lipid production in algae using numerical optimal control.
  • To enhance an existing algae growth model by incorporating dynamic variables.

Main Methods:

  • Transformed differential algebraic equations to ordinary differential equations.
  • Incorporated dynamics for light intensity and chlorophyll.
  • Utilized numerical optimal control to determine optimal decision variables.

Main Results:

  • Developed open and closed-loop optimal controllers.
  • Tested the robustness of the developed controllers.
  • Identified optimal settings for nitrogen concentration and raceway depth.

Conclusions:

  • Numerical optimal control effectively enhances lipid production in algae.
  • Model modifications improve the prediction of algae growth dynamics.
  • Variable control of nitrogen and raceway depth are key for maximizing lipid yield.