Demand-based aeration for wastewater treatment

Aerate to demand.
Not the worst case.

AIPLC turns the data your plant already collects into near real-time estimates of oxygen demand, then recommends aeration adjustments that cut energy use without new sensors or hardware.

Fig. 1 · The Aeration gap

Full-scale data

Power spent on aeration

120 kW

POWER REQUIRED FOR BOD REMOVAL

52 kW

Over-aeration · ~68 kW

~57%

of aeration power goes to over-aeration due to fixed setpoints

AIPLC analysis of aeration efficiency within a full-scale wastewater utility in California. Demand reflects carbonaceous (BOD) oxidation.

01 · The Aeration gap PROBLEM

Plants pay to deliver oxygen that their process doesn't need.

Aeration is typically the largest energy cost in conventional wastewater treatment. Yet conventional aeration systems don't know how much oxygen is actually needed. Instead, they rely on dissolved oxygen sensors, which measure oxygen remaining in the water, not the actual demand.

To manage this uncertainty, operators use fixed setpoints with conservative safety margins.

And that uncertainty is paid for in electricity, every hour of every day.

02 · Our solution

Reduce wasted energy costs by understanding “real-time demand” and providing only what the process “needs”.

Reduce wasted energy costs by understanding "real-time demand" and providing only what the process "needs".

The AIPLC value proposition

We provide

02 items

01

A customized model for real-time demand estimation

02

Recommended adjustments to optimize process performance

Utilities receive

03 items

01

Soft-sensor capabilities for determining real-time loading rates

02

Optimized performance for operational cost reduction

03

An integrated, real-time digital consultant

03 · How it works

Two processors, one operator with final control.

Input

Existing SCADA Data

Flowrates, power outputs, and other PLC signals your plant already archives go in. No new instruments, no extra sampling.

Processor 1

The Interpreter

Mechanistic models incorporating microbial kinetics and mass balance turn existing data into estimates of biochemical demand tailored to your process stream.

Processor 2

The Optimizer

Models considering permit limits, equipment constraints, and electricity tariffs determine aeration adjustments to reduce operational cost.

In development

Output

Operator Approval

Recommendations appear on an operator-facing screen. AIPLC runs outside the PLC control network, and nothing changes without human approval.

04 · Built for utilities

What Makes AIPLC Different

A.

No New Hardware

Works with the PLC and SCADA systems you already run. No capital project, no new analyzers to maintain.

B.

First Principles, Not a Black Box

Built on process-engineering models that engineers and regulators can follow, not an opaque AI model.

C.

Operators Stay in Control

Recommendations, not autonomous control. AIPLC sits outside the control network to protect critical infrastructure.

D.

Compliance is Non-Negotiable

Effluent quality is a hard constraint. Savings never come at the expense of compliance to treatment standards.

05 · Pricing

One setup fee, then you pay when you save.

01 · One time

Implementation

A one-time fee to customize, validate and integrate AIPLC with your plant’s existing automation, scaled to plant size and complexity.

02 · First Year

Performance

A fraction of the energy savings we verify against an agreed baseline. No verified savings, no performance fee.

03 · Monthly (after First Year)

Preservation

A small monthly subscription that begins after your first year of use, covering continuous monitoring, model updates and support.

Every engagement is scoped to the plant. Contact us for a site-specific estimate.

06 · Progress

Where we are, and what comes next.

Complete

July 2026

AIPLC founded; Interpreter development begins.

Complete

Fall 2026

Interpreter validated against multiple years of full-scale operating data.

In progress

Now

Optimizer development and deployment planning with a California partner utility.

Target

Fall 2027

First full-scale deployment of the Interpreter and Optimizer.

Planned

Spring 2028

Publish verified savings and expand to more utilities.

Near-term goal: substantially reduce aeration energy while maintaining treatment performance, verified in full-scale operation.

Long-term vision

Make Every PLC Intelligent

Though we are starting with wastewater treatment, we believe the same approach applies wherever PLCs run processes on fixed, conservative setpoints, from water distribution and energy to food and beverage, pharmaceuticals and semiconductor manufacturing.

07 · Pilot program

Be one of our first demonstration partners.

For our first partner facilities, we’re waiving the implementation fee. Tell us a little about your plant and its SCADA setup, and we’ll follow up to see whether AIPLC is a good fit.

AIPLC

Same data. Same Hardware. Lower costs.

© 2026 AIPLC