An extended 1D dynamic model of biological methanation considering water production, variable height and maintenance heterogeneity

IF 3.6 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Biochemical Engineering Journal Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI:10.1016/j.bej.2026.110109
Julian Federico Sanchez Caldas, Arnaud Cockx, Carlos Robles Rodriguez, Jérôme Morchain
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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.

Abstract Image

考虑产水、变高度和维持非均质性的生物甲烷化一维扩展动态模型
生物甲烷化的数值模拟仍然具有挑战性,因为在这种气馈式生物反应器中,传质、流体动力学和生物反应之间存在很强的耦合。这项工作提出了一个一维时空气液模型的气泡柱生物甲烷化的情况下的扩展。为此,在之前发表的模型中增加了三个主要改进:(i)考虑了生物甲烷化反应产生的水,(ii)实现了液体高度的附加方程,(iii)引入了基于H2传质空间异质性的变量维持模型。用文献中的实验数据对模型进行了验证。结果表明,在恒定和变高度条件下进行的模拟表明,产水量是一个稀释项。这导致生物量浓度降低,同时由于维持和生长之间H2消耗的再分配而保持甲烷产量。这些有趣的结果被稳态的解析解所证实。可变维护模型进一步允许通过放大将性能下降与氢气传质和电池需求之间的局部偏差增加联系起来。此外,一种基本的移动网格方法现在将气液动态一维模型功能扩展到任何进料批(生物)反应器。
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
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.
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