Modelling of Diffusion and Reaction of Carbon Dioxide and Nutrients in Biofilm for Optimal Design and Operation of Emerging Membrane Carbonated Microalgal Biofilm Photobioreactors

The biological performance and carbon dioxide (CO<sub>2</sub>) flux of the novel and emerging concept of a membrane carbonated microalgal biofilm photobioreactor (MC-MBPBR) for wastewater treatment were investigated using mathematical modelling in conjunction with the finite-difference method. A set of differential equations was established to model the performance of an MC-MBPBR. The impacts of CO<sub>2</sub> partial pressure, wastewater characteristics, and biofilm thickness on the concentration profiles and fluxes of CO<sub>2</sub> and nutrients (N and P) to the biofilm of the MC-MBPBR were systematically studied. The modelling results showed profound impacts of these parameters on process efficiency (CO<sub>2</sub> transfer and N and P removals) and the existence of an optimal biofilm thickness for maximum CO<sub>2</sub>, N, and P fluxes into the biofilm. Penetration of CO<sub>2</sub> through the biofilm into the bulk water phase might occur under certain conditions. An increase in gaseous CO<sub>2</sub> and increased influent N and P concentrations led to higher CO<sub>2</sub>, N, and P fluxes. The optimal biofilm thickness varied with the change in wastewater characteristics and gaseous CO<sub>2</sub> concentration. The modelling results were in relatively good agreement with experimental results from the literature. The proposed mathematical models can be used as a powerful tool to optimize the design and operation of the novel MC-MBPBR for wastewater treatment and microalgae cultivation.

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Publication Details

Journal
Membranes
Published
2025-09-04
DOI
https://doi.org/10.3390/membranes15090269
Citations
2
Primary Topic
Algal biology and biofuel production
Type
article
Field-Weighted Citation Impact
0.73

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article

Modelling of Diffusion and Reaction of Carbon Dioxide and Nutrients in Biofilm for Optimal Design and Operation of Emerging Membrane Carbonated Microalgal Biofilm Photobioreactors

Baoqiang Liao, Meilan L. Liu
2 citations
Membranes
Algal biology and biofuel production
0.73
article

Modelling of Diffusion and Reaction of Carbon Dioxide and Nutrients in Biofilm for Optimal Design and Operation of Emerging Membrane Carbonated Microalgal Biofilm Photobioreactors

Baoqiang Liao, Meilan L. Liu
article en
2 citations

Abstract

The biological performance and carbon dioxide (CO<sub>2</sub>) flux of the novel and emerging concept of a membrane carbonated microalgal biofilm photobioreactor (MC-MBPBR) for wastewater treatment were investigated using mathematical modelling in conjunction with the finite-difference method. A set of differential equations was established to model the performance of an MC-MBPBR. The impacts of CO<sub>2</sub> partial pressure, wastewater characteristics, and biofilm thickness on the concentration profiles and fluxes of CO<sub>2</sub> and nutrients (N and P) to the biofilm of the MC-MBPBR were systematically studied. The modelling results showed profound impacts of these parameters on process efficiency (CO<sub>2</sub> transfer and N and P removals) and the existence of an optimal biofilm thickness for maximum CO<sub>2</sub>, N, and P fluxes into the biofilm. Penetration of CO<sub>2</sub> through the biofilm into the bulk water phase might occur under certain conditions. An increase in gaseous CO<sub>2</sub> and increased influent N and P concentrations led to higher CO<sub>2</sub>, N, and P fluxes. The optimal biofilm thickness varied with the change in wastewater characteristics and gaseous CO<sub>2</sub> concentration. The modelling results were in relatively good agreement with experimental results from the literature. The proposed mathematical models can be used as a powerful tool to optimize the design and operation of the novel MC-MBPBR for wastewater treatment and microalgae cultivation.

MembranesVol. 15(9)
Lakehead University (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 28%
Algal biology and biofuel production
0.73
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