A first-principles chemistry model calibrated to your system — not an empirical approximation or a dashboard with a marketing label.
The term 'digital twin' has been broadly applied in water treatment marketing to describe everything from a cloud-connected conductivity transmitter to a full PHREEQC speciation engine. These are not the same thing. A real digital twin is a thermodynamic model that accepts real-time inputs and produces continuous predictions of your system's chemical state — at the level of individual ion activities, gas equilibria, and electrochemical corrosion driving forces. That is what we build.
Our model covers 70+ sparingly soluble salt species, full O₂ and CO₂ gas handling, activity coefficient corrections (Pitzer or Davies equations), and pressure and temperature corrections. The same class of rigor as OLI Systems' Flowsheet:ESP — purpose-built for cooling tower systems.
We use 6–12 months of your actual lab and field data to calibrate the model to your specific makeup water chemistry, operating conditions, and system geometry. Generic models produce generic outputs.
The model accepts live data from your historian, DCS, or laboratory information management system — or structured imports from Excel/CSV if live integration isn't available or needed.
Once calibrated, the model runs forward scenarios: what happens to corrosion and scale margins if CoC increases from 5 to 7? What blowdown rate achieves maximum silica safety margin? Which chemical dosing combination produces the best ROI?
We deliver a set of KPI dashboards — saturation indices by zone, corrosion risk indicators, chemical efficiency metrics, and blowdown optimization — designed for daily use by your operations team.
Most cooling water digital twin offerings are dashboards, not models. If you want to know what your system chemistry actually allows — not what similar systems have done — a PHREEQC-based model is the only tool that answers that question.