Abstract

A novel Lattice-Boltzmann model to simulate gas mixing in anaerobic digestion is developed and described. For the first time, Euler–Lagrange multiphase, non-Newtonian and turbulence modelling are applied jontly with a novel hybrid boundary condition. The model is validated in a laboratory-scale framework and flow patterns are assessed through Particle Imaging Velocimetry (PIV) and innovative Positron-Emission Particle Tracking (PEPT). The model is shown to reproduce the experimental flow patterns with fidelity in both qualitative and quantitative terms.The model opens up a new approach to computational modelling of the complex multiphase flow in anaerobic digesters and offers specific advantages, such as computational efficiency, over an analogous Euler-Lagrange finite-volume computational fluid dynamics approach.

Highlights

  • Sludge is usually treated via anaerobic digestion, in which it is mixed with anaerobic bacteria at 22–41 °C

  • The aim of the work reported in this paper is to demonstrate the first step towards the simulation of flow patterns inside an anaerobic digester using the Lattice-Boltzmann framework and, in particular, the first-ever LB model for anaerobic digestion is described and subsequently validated against experimental laboratory data

  • The presence of a solid phase alters the liquid phase rheology depending on the total solids content (TS) and the temperature [1], and gives rise to a wide series of non-Newtonian phenomena such as shear thinning and thixotropy [13]

Read more

Summary

Introduction

Sludge is usually treated via anaerobic digestion, in which it is mixed with anaerobic bacteria at 22–41 °C. As bacteria degrade sludge to more stable compounds, a methane-rich biogas is produced. This can be harnessed as a renewable energy source, usually through combined heat and power technology. Mixing is crucial for stable process operation and accounts for a large portion of a digester’s energy consumption (17–73%, Owen [29]). It is clear that mixing design and operation should be optimised to achieve a better balance between input mixing energy and output biogas yield. Kress et al [21] shown experimentally that it is possible to halve input mixing energy without impacting nutrient distribution, and without impacting biogas yield

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call