enCoreEnergy · Energy and operational-resource optimization

Turn consumption, process context and operational constraints into verified action.

enCoreEnergy combines multi-utility measurements, industrial context and AI-supported analysis to improve energy performance across facilities.

Engineer inspecting energy meters and process equipment in a factory
Illustrative product view; final deployment scope is confirmed during engineering.

What it solves

Consumption cannot be optimized from meter totals alone. Production, weather, occupancy, schedules, equipment state and user constraints determine whether a deviation is necessary, avoidable or actionable.

Multi-utility model

Bring electricity, gas, water, wastewater and chemical-waste records into one operational context.

Process-aware analytics

Normalize consumption using production, shifts, weather, operating state and defined process constraints.

Infrastructure optimization

Support approved strategies for HVAC, heating, cooling, lighting, pumps and other facility systems.

AI-supported decisions

Use defined anomaly, forecast, baseline and prioritization models with transparent inputs and human boundaries.

Workflows and controls

Move from finding to approval, schedule/setpoint change, inspection and measured outcome.

Measurement and verification

Compare reporting periods with agreed baselines, adjustments, actions and documented impact.

How it works

A traceable path from signal to operational action.

01

Measure

Collect energy, utility, equipment-state and operational data from meters, sensors, BMS, PLC and enterprise sources.

02

Understand

Normalize consumption against weather, occupancy, production, shifts, schedules and constraints.

03

Decide

Use rules, analytics and AI-supported recommendations to prioritize an appropriate action.

04

Act

Assign a workflow, request approval or execute an approved control strategy through Scadify/BMS/PLC.

05

Verify

Compare actual results to an adjusted baseline and retain evidence of the operational impact.

Use cases

Built around the operating context.

The right product configuration depends on equipment, data quality, control responsibility, operating policy and the evidence required by the project.

  • Industrial multi-utility optimization
  • Retail and distributed facilities
  • Bank and branch portfolios
  • Commercial buildings and campuses
  • Pumps, water and process systems

Integration model

Connect the systems you already operate.

Electricity and utility metersBMS, PLC and HVAC systemsProduction, MES and operating calendarsWeather and solar-resource contextScadify field layerERP, CMMS/EAM and BI where qualified

Governance and boundaries

enCoreEnergy supports measurement, records, workflows and reporting; it does not imply licensed waste treatment, transport or disposal. Direct control is limited by installed systems, interlocks and customer-approved policy.

Architecture and evidence

Make the operating model visible.

enCoreEnergy five-stage optimization cycle from measurement to verified action
enCoreEnergy five-stage optimization cycle from measurement to verified action
enCoreEnergy analytics recommendation moving through approval and field control
enCoreEnergy analytics recommendation moving through approval and field control
enCoreEnergy resource flows for electricity, gas, water, wastewater and waste
enCoreEnergy resource flows for electricity, gas, water, wastewater and waste

Plan your deployment

Explain energy consumption per production unit

Example operating scenario

A factory uses more electricity despite similar output. Compare shifts, production volume, operating hours and utility meters before assigning the increase to a process or equipment group.

Data to prepare

Meter hierarchy, utility tariffs, production quantities, shift calendar, operating hours and allocation rules.

What Enlogy provides

Consumption allocation, comparable energy indicators and reports connect the deviation to an actionable operating decision.

Questions to ask before buying

  • How are missing readings and changes in production handled?
  • Can electricity, gas, water and process data share one facility structure?
  • Which baseline and verification method will demonstrate improvement?

Illustrative workflow; project scope and acceptance criteria are agreed for your facility.

Standards compliance for this capability

Standards compliance for this capability

Enlogy provides full compliance with the standards below across development, integration and system operation and management.

Power quality and reactive power compensation

IEC 61000-4-30 · IEC 61000-4-7 · IEC 61000-4-15 · IEEE 519 · IEC 61921 · IEC 60831 · IEC 63497

Why you need it

Harmonics, flicker and reactive power can cause losses, equipment stress and interrupted production.

What Enlogy provides

Enlogy combines power quality measurements, harmonic and flicker analysis, capacitor-bank supervision and active correction equipment data to prioritise corrective action.

Explore this capability: Power quality and reactive power compensation

Industrial data models and production KPIs

IEC 62264 / ISA-95 · ISO 22400 · OPC UA · OPC UA Machinery · PackML

Why you need it

Energy performance needs production context, machine state and consistent manufacturing indicators.

What Enlogy provides

Enlogy connects enterprise and control layers, machine information models and operating states to explain consumption per production unit and identify improvement opportunities.

Consistent asset structures and measurement units

IEC 62832 · IEC 81346 · ISO 80000 · BIPM SI Brochure · UCUM · UN/CEFACT Recommendation 20

Why you need it

Cross-site comparisons fail when equipment names, quantities and units mean different things.

What Enlogy provides

Enlogy uses structured asset hierarchies, reference designations and consistent quantity and unit models across measurements, calculations, APIs and reports.

ISO 50001 energy performance management

ISO 50001 · ISO 50006 · ISO 50015

Why you need it

Energy teams need a repeatable way to establish baselines, track indicators and measure improvement.

What Enlogy provides

Enlogy manages significant energy uses, EnPIs, baselines, action plans and measurement and verification records, connecting continuous analysis to energy management.

AI governance and risk management

ISO/IEC 42001 · ISO/IEC 23894 · NIST AI RMF

Why you need it

AI-supported forecasts and recommendations need accountable decisions, monitored model quality and managed risk.

What Enlogy provides

Enlogy manages AI responsibilities, model lifecycle, forecast-versus-actual evaluation, risk records and human oversight in energy analysis and improvement workflows.

Explore this capability: AI governance and risk management

FAQ

Questions engineers and operators ask first.

Is enCoreEnergy only for electricity?

No. It can cover electricity, natural gas, water, wastewater and related resource workflows when the required measurements and integrations are available.

Can it control HVAC, lighting or pumps?

It can support direct or workflow-based action through Scadify, BMS, PLC or another approved integration; final scope depends on safety and operating policy.

How are savings verified?

Through an agreed baseline, reporting period, relevant-variable adjustments, action records and documented measurement and verification.

Next step

Discuss how enCoreEnergy fits your operating model.

Start a project discussion →

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