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CARBON × KAIZEN · Carboka practice lab

Electricity is the digital footprint of equipment

Select a state to explore its power signature. Start with measurement and connect energy to the production context.

Power (kW, illustrative)Time →
Illustrative power curve across seven equipment states; select each segment using the buttons below.01020304050607

Production

What the curve suggests

Load varies with process cycles. Combine orders, cycle timing and good counts to understand energy per product.

What to check at the production site

Align product specifications, processing requirements and complete energy; plan improvement trials with suppliers.

Connect to this lab
OEE+E: read production time, good output and energy together. Busier equipment does not necessarily use less energy per good unit.

Calculations and boundaries

This is an illustrative curve, not measured data or equipment specifications. Power (kW) accumulated over time gives energy (kWh). Product, good output and a complete measurement boundary are still needed to compare energy per unit. A curve alone cannot diagnose faults or prove carbon reductions.

Measure directly where possible. Use models for what cannot be measured directly, and retain assumptions and review records.

Based on whitepaper page 11, “Electricity is the digital footprint of equipment.” Interactive explanations extend the website teaching examples.

OEE+E: does higher equipment effectiveness reduce electricity consumption per conforming product?

Read equipment effectiveness alongside energy intensity. Change speed, quality or energy and see how the indicators can move in different directions.

Teaching scenario · Editable calculation · Not field results

01 Adjust the scenario

These are additional website teaching inputs for the formulas on whitepaper page 16. EX01 does not provide the time and total-count inputs needed to calculate OEE; 500 → 450 kWh cannot establish it.

Baseline scenario
Changed scenario

Inputs are calculated on this page only. They are not uploaded or saved automatically. Reloading restores the example.

02 Read the results

Baseline scenario

A · Availability—
P · Performance—
Q · Quality—
OEE—
Total electricity attributed to the product (kWh)—
Total electricity attributed to the product / conforming product—

Changed scenario

A · Availability—
P · Performance—
Q · Quality—
OEE—
Total electricity attributed to the product (kWh)—
Total electricity attributed to the product / conforming product—
OEE difference—
Energy intensity change—

Calculations and boundaries

A = runtime / planned time; P = ideal cycle × total count / runtime (consistent time units); Q = good / total count; OEE = A × P × Q. Energy intensity = complete attributed energy / good count. +E is a management extension, not a combined percentage-and-kWh score.

03 Put it into practice

Run a before/after comparison for the same product, retaining ideal cycle, downtime exclusions, good-unit criteria and complete energy. If speed rises, check defects, rework and equipment conditions too.

Source: Industry 5.0: Carboka whitepaper, Chinese R1 working draft, 2026-09-09. Printed pages: 9, 16, 40, 42.

Teaching scenario · Editable calculation · Not field results