How Smart Process Automation Cut Wastewater Chemical Costs By $75,000 Annually

Managing odor control at a major wastewater facility is a delicate balance between strict community standards and escalating chemical expenses. Hydrogen sulfide scrubbers are critical to this process, yet highly variable system loading frequently causes removal efficiencies to drop below target levels. To compensate, facilities often rely on conservative, fixed chemical dosing strategies that inflate operational budgets without guarantees of stable performance.

By transitioning from manual standard operating procedures to real-time, autonomous optimization software driven by reinforcement learning, utilities can dynamically adjust crucial setpoints like pH, oxidation-reduction potential, and water flow rate as influent conditions change. Case study data reveals that this intelligent, data-driven automation stabilizes scrubbing efficiency safely above the 90% threshold while slashing annual chemical expenditures by roughly 25%. Crucially, this advanced control layer integrates directly into existing SCADA systems, keeping operators fully in control while eliminating tedious manual adjustments.

Read the full case study to explore how AI-powered control can transform your treatment plant's environmental compliance and operational efficiency.