Case Study: Large Food Processing Plant
The Situation
A large prepared food facility in the Greater Montreal area — producing perishable items across multiple product lines — was generating over 450 m³ of wastewater daily. The facility's treatment system was technically operational but behaviorally unstable: pH fluctuated erratically across production shifts, acid and base chemicals were being dosed simultaneously in a futile attempt to chase equilibrium, and cooling water consumption was running at volumes that were neither efficient nor sustainable. The facility was meeting discharge limits — intermittently — but without understanding why performance varied or how to control it reliably.
The Problem Beneath the Problem
The instability wasn't primarily an equipment problem. It was a process characterization problem. The treatment system had been designed around average loading assumptions that didn't reflect the facility's actual production variability — different product lines, cleaning cycles, and shift schedules produced wastewater with fundamentally different chemistry at different times of day. Without visibility into that variability, chemical dosing was reactive and inefficient by design.
What We Did
We began with a comprehensive data analysis using a custom MATLAB diagnostic tool, mapping pH behavior, chemical consumption, and flow patterns against production scheduling. This revealed the specific process events driving pH excursions and identified the equalization tank as the critical control point being underutilized.
From that baseline, we instrumented the system with automated pH and turbidity sensors and restructured the chemical dosing logic around real-time contaminant measurements rather than fixed schedules. We also evaluated the cooling water circuit independently — and identified a straightforward technology substitution that reduced cooling water demand by over 80%, eliminating approximately 80,000 liters of consumption per day.
The Outcome
The treatment system moved from intermittent compliance to consistent, automated performance that routinely passes independent municipal audits. Chemical consumption dropped approximately 35%. Water consumption fell by more than 80% — over 20 million liters annually. The facility now operates with real-time monitoring capability that functions as an early warning system, not just a compliance record.
The financial case was clear: combined savings exceeded $180,000 annually. But the more significant outcome was a facility that understood its own wastewater profile for the first time — and could manage it predictably.