Computational fluid dynamics for hydraulic optimisation, bubble distribution analysis, and velocity profiling. Eliminate dead zones, short-circuiting, and uneven flow distribution before steel is cut. Precision engineering that transforms theoretical design into verified performance.
CFD thermal simulation services for water treatment equipment.
CFD thermal simulation for LED lighting enclosures and heat sinks.
CFD thermal mixing simulation for tanks, reactors, and process vessels.
CFD thermal simulation for LiDAR enclosures. Predict laser diode temperature, prevent optical window condensation, and validate.
CFD simulation eliminates hydraulic uncertainty from equipment design
The hydraulic performance of a treatment vessel is invisible until it is built, and expensive to correct once installed. CFD simulation changes this. We model the flow through your DAF unit, clarifier, or reactor before fabrication, identifying dead zones, short-circuiting paths, velocity gradients, and turbulence that would compromise performance. The result is equipment that works as designed on day one, without costly post-installation modifications.
Computational fluid dynamics solves the Navier-Stokes equations across the geometry of your treatment vessel, producing a three-dimensional map of velocities, pressures, turbulence intensity, and residence time distribution. This reveals patterns that no rule-of-thumb design can predict.
CFD findings are translated into design modifications that improve hydraulic performance. Every adjustment is quantified, so you know exactly how much better the optimised design will perform compared to the baseline.
Precision engineering for every type of treatment vessel
Bubble distribution, rise velocity profiles, and surface skimming efficiency are modelled to optimise air dissolution rate, contact zone residence time, and separation zone hydraulics for maximum solids removal.
Inlet distribution, plate laminar flow development, and sludge hopper collection are simulated to ensure uniform hydraulic loading across all plates and prevent turbulence that would resettle solids.
Aerator placement, mixer impeller selection, and tank geometry are optimised to ensure oxygen transfer efficiency, prevent dead zones, and maintain homogeneous biomass distribution across the reactor volume.
Rapid mix and flocculation chamber hydraulics are modelled to verify velocity gradient compliance, ensure chemical dispersion uniformity, and prevent excessive shear that would break fragile floc.
Underdrain and header lateral design is simulated to verify uniform flow distribution across the filter bed, preventing channelling and ensuring consistent backwash cleaning.
Variable flow regimes and fill/draw cycles are modelled to ensure complete mixing, prevent stratification, and maintain consistent effluent quality to downstream processes regardless of inlet variation.
This treatment stage is engineered to achieve specific contaminant removal targets while providing stable, predictable performance across variable inlet conditions. Design parameters are calculated from wastewater characterisation data, regulatory requirements, and site-specific constraints including footprint, energy availability, and operator capability.
Design validated by CFD modelling and pilot testing to confirm performance guarantees.
Equipment selected for 20-year design life with minimal wearing parts and easy access.
Automated dosing and feedback control minimise reagent consumption and sludge production.
Online monitoring and data logging demonstrate continuous consent compliance.
| Design Flow | 10 – 5,000 m³/h (application specific) |
| Inlet Variability | Designed for 1:3 peak-to-average flow ratio |
| Removal Efficiency | 85 – 99% depending on target contaminant |
| Hydraulic Retention | Calculated from kinetic constants and safety factors |
| Power Consumption | 0.5 – 5.0 kWh/100 m³ (process dependent) |
| Chemical Dose | Auto-controlled based on online analysers |
| Sludge Production | 0.2 – 1.5 kg DS/kg contaminant removed |
| Materials | SS304, SS316L, or carbon steel with coating |
No treatment stage operates in isolation. This process is designed to receive conditioned influent from upstream stages and deliver effluent quality suitable for downstream processes. Hydraulic and organic loading rates are balanced across the complete treatment train to prevent bottlenecking and ensure overall plant efficiency. Our engineers model the complete flowsheet to optimise Capital expenditure and Operating expenditure across the plant lifecycle.
Screening, equalisation, and pre-treatment protect this stage from damage and overload.
Effluent quality ensures downstream biology, filtration, or disinfection performs optimally.
Reject streams, filtrate, and centrate are routed back to appropriate upstream points.
Conjugate heat transfer modelling for equipment and processes where temperature control is critical to performance, efficiency, and safety.
Plate, shell-and-tube, and spiral heat exchanger thermal performance with fouling prediction and energy efficiency analysis.
Learn MoreEvaporative cooling simulation with spray droplet tracking, fill pack optimisation, and fan power reduction.
Learn MoreTransient temperature uniformity in tanks, reactors, and vessels. Eliminate stratification and hot spots.
Learn MorePhase-change thermal modelling for evaporators, crystallisers, and sludge dryers with energy optimisation.
Learn MoreHeat generation and removal in biological reactors. Maintain optimal mesophilic conditions for maximum COD removal.
Learn MoreCondenser, cooling tower, and heat recovery steam generator thermal analysis for maximum cycle efficiency.
Learn MoreCFD simulation transforms equipment design from educated guesswork into verified engineering. Speak with our simulation engineers to model your treatment vessel and eliminate hydraulic uncertainty.
Our expertise spans multiple industries with sector-specific water treatment solutions.