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Related Experiment Video

Updated: Dec 16, 2025

Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
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Complex mathematical analysis of photobioreactor system.

Fabiano Bisinella Scheufele1, Camila Larissa Hinterholz2, Maya M Zaharieva3

  • 1Department of Engineering and Exact Sciences Federal University of Paraná Palotina Brazil.

Engineering in Life Sciences
|July 7, 2020
PubMed
Summary

System analysis modeling aids microalgae cultivation. This review details using system analysis theory for modeling microalgae (algae) growth and bioreactor design, optimizing renewable energy and high-value product development.

Keywords:
CO2 sequestrationcomputational fluid dynamicskinetic modelingmicroalgae culturingsystem analysis theory

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Area of Science:

  • Life Sciences
  • Biotechnology
  • Chemical Engineering

Background:

  • Microalgae cultivation is gaining attention for renewable energy and high-value product applications.
  • Modeling is a critical tool for addressing complex challenges in life sciences and bioprocess development.
  • The integral biorefinery concept offers a framework for maximizing microalgae biomass utilization.

Purpose of the Study:

  • To present the application of system analysis theory to microalgae cultivation modeling.
  • To focus on modeling key autotrophic growth steps within the microalgae biorefinery concept.
  • To analyze sub-systems like microalgae kinetics and computational fluid dynamics (CFD) for photobioreactor (PBR) design.

Main Methods:

  • Systematic application of system analysis theory to model microalgae cultivation.
  • Detailed analysis of microalgae kinetics and computational fluid dynamics (CFD) as sub-systems.
  • Integration of modeling approaches within the context of advanced photobioreactor (PBR) design.

Main Results:

  • Demonstration of challenges in modeling individual sub-systems of microalgae cultivation.
  • Successful development of complex mathematical analysis for photobioreactors (PBRs).
  • Validation of the system approach for optimizing microalgae biomass processing under the biorefinery concept.

Conclusions:

  • System analysis provides a robust framework for modeling microalgae cultivation processes.
  • Integrated modeling of kinetics and CFD enhances photobioreactor (PBR) design and efficiency.
  • This modeling approach can significantly reduce research time and costs in microalgae biotechnology.