{"title":"An extended 1D dynamic model of biological methanation considering water production, variable height and maintenance heterogeneity","authors":"Julian Federico Sanchez Caldas, Arnaud Cockx, Carlos Robles Rodriguez, Jérôme Morchain","doi":"10.1016/j.bej.2026.110109","DOIUrl":null,"url":null,"abstract":"<div><div>Numerical simulation of biological methanation remains challenging due to the strong coupling between mass transfer, hydrodynamics, and bioreaction in such gas-fed bioreactors. This work presents an extension of a 1D spatio-temporal gas–liquid model for bubble columns to the case of biological methanation. To this end, three major improvements are added to the previously published model: (i) the consideration of water production due to the biological methanation reaction, (ii) the implementation of an additional equation for the liquid height, (iii) the introduction of a variable maintenance model based on the spatial heterogeneity of the H<sub>2</sub> mass transfer. The model was validated with experimental data from literature. Results indicate that water production acts as a dilution term, as revealed by simulations performed under both constant and variable height conditions. This led to a reduced biomass concentration while preserving methane production owing to a redistribution of H<sub>2</sub> consumption between maintenance and growth. These intriguing results were confirmed by analytical solutions at steady-state. The variable maintenance model further allows connecting the decrease in performances through scale-up to increased local deviations between H<sub>2</sub> mass transfer and cell demand. Also, a basic moving mesh method now extends the gas–liquid dynamic 1D model capabilities to any fed-batch (bio) reactor.</div></div>","PeriodicalId":8766,"journal":{"name":"Biochemical Engineering Journal","volume":"230 ","pages":"Article 110109"},"PeriodicalIF":3.6000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369703X26000392","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/4 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Numerical simulation of biological methanation remains challenging due to the strong coupling between mass transfer, hydrodynamics, and bioreaction in such gas-fed bioreactors. This work presents an extension of a 1D spatio-temporal gas–liquid model for bubble columns to the case of biological methanation. To this end, three major improvements are added to the previously published model: (i) the consideration of water production due to the biological methanation reaction, (ii) the implementation of an additional equation for the liquid height, (iii) the introduction of a variable maintenance model based on the spatial heterogeneity of the H2 mass transfer. The model was validated with experimental data from literature. Results indicate that water production acts as a dilution term, as revealed by simulations performed under both constant and variable height conditions. This led to a reduced biomass concentration while preserving methane production owing to a redistribution of H2 consumption between maintenance and growth. These intriguing results were confirmed by analytical solutions at steady-state. The variable maintenance model further allows connecting the decrease in performances through scale-up to increased local deviations between H2 mass transfer and cell demand. Also, a basic moving mesh method now extends the gas–liquid dynamic 1D model capabilities to any fed-batch (bio) reactor.
期刊介绍:
The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology.
The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields:
Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics
Biosensors and Biodevices including biofabrication and novel fuel cell development
Bioseparations including scale-up and protein refolding/renaturation
Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells
Bioreactor Systems including characterization, optimization and scale-up
Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization
Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals
Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release
Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites
Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation
Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis
Protein Engineering including enzyme engineering and directed evolution.