{"title":"Impact of bubbles on the light field within a photobioreactor: A practical design tool","authors":"Victor Pozzobon","doi":"10.1016/j.algal.2025.104331","DOIUrl":null,"url":null,"abstract":"<div><div>Bubbles can be strong modulators of the light field they interact with. An example of such a configuration is a photobioreactor hosting a microalgae culture where bubbles and cells contributions entangle. To investigate this question, this work computed bubble distribution in a photobioreactor setup using OpenFOAM. Then, Ray Tracing coupled with the Monte Carlo Method was used to calculate the light over 3240 configurations (cell concentrations, strains, pigment profiles, void fraction, etc.). From a physical perspective, this investigation showed that the presence of bubbles lengthens the ray path within the culture medium and increases the apparent absorption. In addition, a sizable amount of the incident light can be reflected and scattered away (about 10% for a 2.15% void fraction). From a numerical perspective, using a dimensionless approach and physics-based formulation, the whole knowledge of the database was condensed into an exponential decay (Beer–Lambert like) model. The methodology was first used on a bubble-free setup (360 profiles), where it delivered accurate local and global predictions of the light and the reflected light fraction. Then, it was expanded to the whole database. All in all, it allowed to compute the local light field, total distributed energy, and reflected light fraction with accuracies (MARE) of 9.50, 2.25, and 6.35%, respectively. It also allowed to distinguish between bubbles and microalgae contributions. Owing to its simplicity and computational efficiency, the model can be used to precisely account for detailed light distribution in large-scale models, opening the way to improving the computation of country-scale microalgae cultivation performances.</div></div>","PeriodicalId":7855,"journal":{"name":"Algal Research-Biomass Biofuels and Bioproducts","volume":"91 ","pages":"Article 104331"},"PeriodicalIF":4.5000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algal Research-Biomass Biofuels and Bioproducts","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211926425004424","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Bubbles can be strong modulators of the light field they interact with. An example of such a configuration is a photobioreactor hosting a microalgae culture where bubbles and cells contributions entangle. To investigate this question, this work computed bubble distribution in a photobioreactor setup using OpenFOAM. Then, Ray Tracing coupled with the Monte Carlo Method was used to calculate the light over 3240 configurations (cell concentrations, strains, pigment profiles, void fraction, etc.). From a physical perspective, this investigation showed that the presence of bubbles lengthens the ray path within the culture medium and increases the apparent absorption. In addition, a sizable amount of the incident light can be reflected and scattered away (about 10% for a 2.15% void fraction). From a numerical perspective, using a dimensionless approach and physics-based formulation, the whole knowledge of the database was condensed into an exponential decay (Beer–Lambert like) model. The methodology was first used on a bubble-free setup (360 profiles), where it delivered accurate local and global predictions of the light and the reflected light fraction. Then, it was expanded to the whole database. All in all, it allowed to compute the local light field, total distributed energy, and reflected light fraction with accuracies (MARE) of 9.50, 2.25, and 6.35%, respectively. It also allowed to distinguish between bubbles and microalgae contributions. Owing to its simplicity and computational efficiency, the model can be used to precisely account for detailed light distribution in large-scale models, opening the way to improving the computation of country-scale microalgae cultivation performances.
期刊介绍:
Algal Research is an international phycology journal covering all areas of emerging technologies in algae biology, biomass production, cultivation, harvesting, extraction, bioproducts, biorefinery, engineering, and econometrics. Algae is defined to include cyanobacteria, microalgae, and protists and symbionts of interest in biotechnology. The journal publishes original research and reviews for the following scope: algal biology, including but not exclusive to: phylogeny, biodiversity, molecular traits, metabolic regulation, and genetic engineering, algal cultivation, e.g. phototrophic systems, heterotrophic systems, and mixotrophic systems, algal harvesting and extraction systems, biotechnology to convert algal biomass and components into biofuels and bioproducts, e.g., nutraceuticals, pharmaceuticals, animal feed, plastics, etc. algal products and their economic assessment