Abstract
The impact of mixing on biochemical reactions is of high importance in anaerobic digestion (AD). In this paper, a novel 2D fully Lagrangian computational model for the integration of mixing and biochemical reactions in AD is developed and presented. The mixing-induced fluid flow is modeled by smoothed particle hydrodynamics (SPH). The computational domain is discretized by SPH particles, each of which carries the information of biologically active compounds and follows the flow field. In this natural way, advection is reproduced, which is the main advantage of SPH for this type of problems. A mathematical model that governs the biochemical reactions is integrated in time for each particle, which allows to spatially resolve the biological concentrations. Mass transfer interactions between particles are reproduced by the diffusion equation to directly link mixing to biochemical reactions. The total biogas production is obtained by integrating over all the particles. Both SPH and biochemical models are verified against existing data in the literature and the integrated model is then applied to a real world anaerobic digester. The application of a novel fully Lagrangian method to AD is a stepping stone to future possible developments. However, in the simulation of such problems, SPH is still uncompetitive if compared to other mainstream methods and industrial application of the model depends on the computational efficiency of future SPH solvers.
Highlights
Anaerobic digestion (AD) is a widely applied technology for advanced treatment of biodegradable materials
In this paper we propose a direct link between smoothed particle hydrodynamics (SPH) as the hydrodynamics model and the versatile AD models [2,3] governing the biochemical reaction
In this paper a novel model has been developed based on SPH to create a direct link between mixing and biochemical processes
Summary
Anaerobic digestion (AD) is a widely applied technology for advanced treatment of biodegradable materials. Since meshless Lagrangian computational methods show more accurate field-scale predictions of reactive transport processes [22], in the present study smoothed particle hydrodynamics (SPH), as the most advanced member of this category, is considered as the ideal choice for being coupled to the biological model. The mentioned beneficial features of SPH make it possible to develop the approach further towards a fully integrated numerical model of the AD process including sedimentation effects This is an asset to SPH, which is not found in previous numerical simulations of AD by mesh-based methods [21].
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