Modelling Electrocoagulation for Sustainable Water Treatment with CFD Simulations
Wednesday, June 24, 2026 3:45 PM to 5:15 PM · 1 hr. 30 min. (Europe/Berlin)
Foyer D-G - 2nd Floor
Project Poster
Chemistry and Materials ScienceEnergy Efficiency and SustainabilityEngineeringIndustrial Use Cases of HPC, ML and QCOptimizing for Energy and Performance
Information
Poster is on display.
Electrocoagulation (EC) is a sustainable water treatment technology capable of removing hardness, heavy metals, and colloidal contaminants. However, experimental optimization of EC reactors is resource-intensive due to the coupled effects of hydrodynamics, electric fields, and species transport.
This work presents a three-dimensional Computational Fluid Dynamics (CFD) framework for analyzing a 250 mL batch electrocoagulation reactor. The model resolves fluid flow, electric field distribution, and species transport to evaluate the influence of current density and treatment time on reactor performance. Simulations were conducted using mesh resolutions on the order of 10⁵–10⁶ elements, providing detailed spatial and temporal insight that is difficult to obtain experimentally.
The modelling framework is structured to scale efficiently for high-resolution and faster simulations, enabling large parametric studies as model complexity increases and positioning the work for future deployment on high-performance computing resources.
Overall, the results demonstrate how CFD-based digital modelling reduces experimental dependency, accelerates electrocoagulation reactor optimization, and supports energy-efficient and sustainable water treatment system design.
Electrocoagulation (EC) is a sustainable water treatment technology capable of removing hardness, heavy metals, and colloidal contaminants. However, experimental optimization of EC reactors is resource-intensive due to the coupled effects of hydrodynamics, electric fields, and species transport.
This work presents a three-dimensional Computational Fluid Dynamics (CFD) framework for analyzing a 250 mL batch electrocoagulation reactor. The model resolves fluid flow, electric field distribution, and species transport to evaluate the influence of current density and treatment time on reactor performance. Simulations were conducted using mesh resolutions on the order of 10⁵–10⁶ elements, providing detailed spatial and temporal insight that is difficult to obtain experimentally.
The modelling framework is structured to scale efficiently for high-resolution and faster simulations, enabling large parametric studies as model complexity increases and positioning the work for future deployment on high-performance computing resources.
Overall, the results demonstrate how CFD-based digital modelling reduces experimental dependency, accelerates electrocoagulation reactor optimization, and supports energy-efficient and sustainable water treatment system design.
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