ANAEROBIC DIGESTER CFD analysis : TO ENSURE OPTIMAL MIXING

Anaerobic digestion refers to the breakdown of biodegradable materials facilitated by various bacteria and archaea in an oxygen-free environment. The resulting biogas primarily consists of methane (50–60%) and carbon dioxide (30–40%), generated through the anaerobic digestion process. Several critical factors influence the efficiency of anaerobic digestion, including the characteristics of the substrate, feeding strategies, hydraulic retention time, pH levels, temperature, and mixing dynamics. Among these factors, mixing is particularly vital for enhancing the anaerobic digestion process and maximizing biogas production. Effective mixing within the digester promotes biological, chemical, and physical uniformity, preventing the creation of dead zones that hinder substrate conversion. Insufficient mixing can lead to reduced digester performance, while excessive mixing may disrupt the digestion process due to high shear forces. Therefore, it is essential to thoroughly understand and examine the optimal mixing techniques in anaerobic digesters.

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OBJECTIVE OF CFD ANALYSIS

A gas nozzle system has been developed by our customer, which injects biogas from the base of the digester following a specific operational sequence. The nozzles, arranged circumferentially, will function in a sequential manner, ensuring that the sludge remains in a uniform state. A 3D transient viscous turbulent multiphase CFD analysis has been conducted for the bio digester tank. The operational sequence of 20 gas nozzles is implemented through a user-defined function (UDF). Eulerian multiphase modeling is utilized to simulate the transport of sludge constituents. The mixing process is meticulously examined during the operational sequence to assess the effectiveness of the gas nozzle sequence.

CFD MESH

The CFD mesh is composed of poly-hexcore elements, providing an efficient balance between computational accuracy and resource utilization. Local mesh refinement is applied within the gas nozzle ducting system to ensure adequate boundary-layer resolution and accurately capture steep velocity gradients and near-wall flow characteristics. The total mesh count is approximately 18 million cells, providing sufficient spatial discretization to resolve the complex flow patterns and multiphase interactions within the digester. Mesh quality is assessed using standard parameters, including skewness, orthogonal quality, and aspect ratio, to support numerical stability and solution convergence in accordance with established CFD practices.

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CFD SOLVER SETUP

The flow within the anaerobic digester is represented as a three-dimensional, time-dependent, viscous turbulent multiphase system. The turbulence is characterized using the K-Omega turbulence model. To simulate the transport of sludge components, an Eulerian multiphase modeling approach is utilized. The operational sequence for 20 gas nozzles is executed via a user-defined function (UDF).

CFD analysis results : Homogeneity in the sludge

The sludge consists primarily of Napier grass and press mud suspended in a water medium. Napier grass particles constitute approximately 15% of the sludge, with an average particle size of 2 mm. Biogas accumulated in the upper dome of the digester is recirculated through a compressor and supplied to the gas injection nozzles according to a predetermined operating sequence to achieve effective sludge agitation. The resulting gas-induced flow promotes solids suspension and improves the distribution of the sludge constituents throughout the digester. The volume fraction of Napier grass particles is monitored at different horizontal planes to assess mixing performance. A relatively uniform and stable particle volume fraction over time indicates effective mixing and reduced solids accumulation, thereby supporting the evaluation of the nozzle operating sequence and agitation efficiency.

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CFD analysis results

The enclosed graph shows that the volume fraction of Napier grass particles at a height of 5.5 m above ground remains relatively stable throughout the nozzle operating cycle, indicating consistent solids distribution during the agitation process. A similar trend is observed across multiple horizontal planes up to the maximum sludge height, suggesting that the mixing performance is maintained throughout the sludge volume. These results indicate that the predetermined nozzle operating sequence and gas injection duration provide adequate agitation to maintain a uniform particle distribution. Consequently, the selected operating strategy appears to offer a suitable balance between mixing effectiveness and energy efficiency by avoiding unnecessary gas recirculation and excessive agitation.

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