The engine behind
every Opnor audit.
Utility-bill reconciliation, asset-level confidence scoring, a 324-ECM rule library, and AACE-class cost estimation — one integrated platform. Built on 30 years of industrial audits. The same system that compresses a deep-dive from 10 weeks to 2.
Top-down bills meet bottom-up assets. Every audit.
A 3-phase pipeline: top-down allocation from utility bills, bottom-up estimation from asset-level data, then automated reconciliation that proposes load-factor and operating-hour adjustments with confidence-gain previews before you apply them.
- Runs independently per energy carrier (electrical, thermal, fuel) with per-area ratio badges
- Identifies unregistered load: bill shows X MWh but assets only account for Y — gap flagged with proposed allocation
- Proposes adjustment multipliers with before/after confidence impact — apply or reject per asset
- Site-level coverage score tracks convergence: 92.5% (over-estimated) → 98.1% (reconciled) in one pass
Every kW on your floor, with a confidence score behind it.
Plant → Area → Asset tree with a 4-dimensional confidence model: kW source (40%), load factor (30%), operating hours (20%), fuel/thermal fields (10%). Every row shows a heatmap pill and a verification-priority hint.
- 5-level source taxonomy per field: MEASURED → NAMEPLATE → ESTIMATED → ASSUMED → MISSING
- Hover any pill to see the weighted breakdown — no hidden math
- Verification-priority list tells you which 3–5 assets to field-measure first for the biggest confidence lift
- Industry-specific load-factor defaults (sawmill vs mining vs foundry) — not generic factory averages
4 engine types. 50+ matching conditions. Physics, not vibes.
Rule-based matching across VFD retrofit, motor upgrade (IE3/IE4), waste heat recovery, and compressed air optimization. Savings calculated from affinity laws, efficiency deltas, and measured leak rates — every kWh traceable to a formula you can defend in engineering review.
- VFD retrofit: applies affinity-law cube reduction at the asset's load factor, with 80% realization factor
- Motor upgrade: compares nameplate efficiency class (IE1/IE2) against IE4 target (94.8%)
- Heat recovery: 15% conservative recovery on thermal assets ≥ 100 kW
- Compressed air: 20% leak reduction on systems with identified demand-side issues
- Outputs per-asset, per-rule savings rolled up by area and by ECM category
AACE Class 4 estimates. Not a payback calculator.
Full line-item estimates: equipment, material, labor hours sourced from a reference database by component type. Five indirect-cost toggles (commissioning, programming, surveillance, engineering, PM). Three contingency methods (blanket, AACE class-based, BBA split). City cost indexing. Productivity multipliers.
- Direct costs: equipment + cable/materials + labor-hour estimates from component-typed reference data
- Indirect costs: 5 toggleable categories — commissioning, programming, surveillance, engineering, project management
- Contingency methods: blanket %, AACE class-based (5–40%), or BBA split (separate on direct + indirect)
- Overhead + profit on top, both adjustable (defaults 15% + 10%)
- Outputs: grand total, simple payback, NPV — per ECM and rolled up to project level
One continuous workflow. Not 6 disconnected tools.
Every module writes into the same data model. Change a load factor in the hierarchy, the reconciliation recomputes, the ECM library re-matches, the cost estimator re-prices, the report redrafts. No CSV round-trips.
Built on 30 years of industrial audits. Not on generic SaaS templates.
Every rule, every load factor default, every ECM matching condition came from a completed Opnor audit. The platform isn't a GPT wrapper on energy data — it's a codified version of how our engineers have been auditing plants since 1995.
Industry-specific
Load factor defaults, operating-hour profiles, and ECM priorities per industry (sawmill, mining, foundry, pulp). No generic factory-worker averages.
Engineering-reviewable
Every savings estimate trace back to a formula — affinity laws for pumps, efficiency-class deltas for motors. No black-box ML you can't defend.
Audit-shaped
The data model matches how auditors think: Plant → Area → Asset with reconciliation at the area level. Not a generic asset-registry schema.
Book a platform demo.
See your plant reconciled in 30 minutes.
Bring 12 months of utility bills and a rough asset list. We'll load it into ENERGY-OS live on the call and show you the reconciliation, top ECMs, and cost estimate within 30 minutes.