AI energy optimization engine · ASHRAE & ISO 50001 aligned

Cut your plant's energy bill, not your output.

Feed EnergyIQ your rate structure, major equipment, and production schedule. The AI builds an optimized energy plan — shifting load off-peak, flattening demand charges, killing compressed-air leaks, and tracking every kilo of carbon.

22%
Avg. energy-cost cut
38%
Demand-charge reduction
5
Facility classes
<2s
To a full plan
Live demo · role-based

Sign in and run it from any seat

The optimizer lives inside a role-based plant workspace. Pick a demo role — Facilities Technician, Energy Manager, Plant Manager, or Administrator — and see the dashboard and tools tailored to that seat. No setup, no signup.

🔧
Facilities Technician
Equipment loads & air-leak fixes
Energy Manager
Full optimization & rate modeling
🏭
Plant Manager
Cost-per-unit & production trade-offs
Administrator
Multi-site fleet & carbon roll-up
Open the demo workspace →
Energy optimizer

Optimize this facility

Set your rate structure, load, and production on the left. The engine runs real energy math — TOU arbitrage, demand-charge coincidence, compressed-air leak loss, and carbon accounting — and returns a complete, actionable energy plan.

Set your facility parameters and generate a plan.

Facility profile

Define the plant

Load & production
28 %

Your optimized energy plan will appear here

Set your facility parameters and hit Generate energy plan.

Projected annual savings
AI confidence
💲 Annual savings
⚡ New peak demand
🏭 Cost / unit
🔌 SEC
kWh / unit
🌍 Carbon (Scope 2)
⏳ Payback
on measures

📊 AI recommendations — what to shift & fix

Ranked by annual savings. These are the operating changes the engine found in your load and rate structure.

🔌 Demand profile — before vs after

Hourly facility demand (kW) across a representative weekday. The optimizer flattens the midday peak by shifting flexible load into off-peak hours, which is what your demand charge is billed on.

🧮 Cost breakdown

Where your optimized monthly bill goes.

📉 Savings waterfall

From baseline to optimized monthly cost.

🔥 Energy consumption heatmap

Modeled load intensity by hour of day (columns) and day of week (rows). The shaded band marks your TOU peak window — the goal is to pull dark cells out of it.
LowHighPeak-window hours

⚖ Benchmark — specific energy consumption

Your SEC (kWh per unit produced) against industry average and best-in-class for a comparable facility. Lower is better.

📋 Baseline vs optimized

The full before/after on the metrics that drive your bill.
BaselineTodayOptimizedAI planChange

Estimates use standard energy-engineering models — TOU energy arbitrage, demand-charge coincidence, the ~0.18 kW/CFM compressed-air rule (1 CFM @ 100 psi), power-factor billing, and a 0.39 kg CO₂e/kWh grid intensity. Validate against your utility tariff and an ASHRAE Level 2 audit before committing capital.

Capabilities

More than an energy dashboard

A plant-aware optimizer that thinks like your best energy engineer — and never misses a kilowatt.

🕑

TOU load shifting

Finds the flexible operations worth moving into off-peak and shoulder windows, and prices the arbitrage to the kilowatt-hour.

Demand-charge reducer

Models 15-minute demand coincidence and staggers startups to shave billed kW — often the single biggest line on the bill.

💨

Compressed-air leak calculator

Converts leak CFM into real annual dollars and carbon at your rate, so the maintenance backlog finally gets a price tag.

Industry benchmarking

Scores your specific energy consumption against peers and best-in-class, with the SEC gap translated into recoverable spend.

🌍

Carbon footprint tracker

Splits emissions across Scope 1, 2, and 3 and ties every optimization back to avoided tonnes of CO₂e.

📉

Power-factor & harmonics

Flags PF penalties and harmonic distortion, recommending correction that frees capacity and clears utility surcharges.

Under the hood

From meter data to a plan

Real energy science, wrapped in a one-click workflow.

01 / INPUT

Describe the plant

Rate structure, monthly kWh and peak kW, major loads, power factor, air leaks, and production volume.

02 / MODEL

Run the energy math

TOU arbitrage, demand coincidence, air-leak loss, PF billing, and carbon accounting evaluate the load profile.

03 / OPTIMIZE

Balance cost & output

The engine trades peak shaving against production constraints to find the lowest-cost schedule that still ships product.

04 / DELIVER

Get the plan

A ranked set of actions with dollars, kilowatts, payback, and carbon — ready to take to the floor.

Stop paying for peak you don't need.

Apprend Technologies brings AI-driven energy optimization to manufacturers of every size. Shave demand, shift load, and decarbonize — without slowing the line.

EnergyIQ