A model is the cheapest place to make a mistake. We use the full spectrum of scientific modelling — CFD, process, biokinetic, chemical, hydraulic, limnological and data-driven — to de-risk design, optimise operation and prove performance before anything is built.
Each discipline answers a different question — we pick, or combine, the ones that fit
Computational fluid dynamics for flow, mixing, thermal and multiphase behaviour inside equipment and basins.
ExploreWhole-plant flowsheet mass/energy balance — steady-state and dynamic.
ExploreASM and ADM1 microbial-kinetic models for biological and anaerobic treatment.
ExploreChemical speciation, reaction rates, disinfection CT and scaling indices.
ExploreNetwork, surge and residence-time-distribution hydraulics.
ExploreStratification, bubble-plume, nutrient and oxygen models for water bodies.
ExploreDigital twins, ML surrogates and soft sensors built on plant data.
ExploreWithin each type, the modelling choice is matched to the data, the accuracy needed and the decision at stake
First-principles physics models that generalise, versus data-driven models that learn from a plant — often combined as a digital twin.
A steady balance for sizing, or a time-resolved run for controllability, peaks and start-up.
From a lumped reactor to a one-dimensional water column to a full three-dimensional CFD field — resolution matched to the question.
Every model is calibrated against measured plant or pilot data and validated before it informs a decision.
The right model is the simplest one that answers the question with the accuracy the decision needs. We start from the question — size a unit, prove a consent, diagnose a failure, optimise energy — then choose the discipline (CFD for local hydrodynamics, process for the whole flowsheet, biokinetic for biology, kinetic for chemistry, hydraulic for flow, limnological for water bodies) and the option (steady-state or dynamic, lumped or spatially resolved, mechanistic or data-driven). Every model is then calibrated against measured plant or pilot data and validated before it informs a decision — a model trusted without validation is just a confident guess. Used this way, modelling turns design and operation into engineering with evidence behind every number.
CFD applied to aeration, mixing and contact-zone design.
Read MoreWhere bubble-plume and oxygen-transfer models size a real system.
Read MoreThe data that calibrates and validates the models.
Read MoreHow modelling sits within design, CFD and delivery.
Read MoreReynolds & Bauhm applies the right scientific model — or the right combination — to de-risk your design, optimise your plant and prove its performance, every number calibrated and validated against real data.
Our expertise spans multiple industries with sector-specific water treatment solutions.