Power Consumption

Separate necessary production energy from avoidable waste

Connect energy use to production, shifts, recipes and process constraints to identify and execute safe industrial efficiency improvements.

Process-aware industrial energy optimisation using production, weather and equipment context
Conceptual solution architecture; final scope is confirmed through engineering and project acceptance.

Operational problem

Utility totals rarely explain the operational reason for consumption. Weather, production, shifts, occupancy, comfort, safety and equipment constraints must be connected before a recommendation can become a safe action.

enCoreEnergy combines measurements with operational context, analytics, AI-supported recommendations, workflows and verification. Scadify or existing BMS/PLC systems provide qualified local acquisition and execution; EnergyPortal can consolidate enterprise portfolios.

Core capabilities

Production-aware baselines

Configured according to the project’s data, control, approval and operating boundaries.

Shift, recipe and machine-state context

Configured according to the project’s data, control, approval and operating boundaries.

Electricity, gas, water and process-resource analytics

Configured according to the project’s data, control, approval and operating boundaries.

AI-supported anomaly and opportunity prioritisation

Configured according to the project’s data, control, approval and operating boundaries.

Operator-approved workflows and measurement/verification

Configured according to the project’s data, control, approval and operating boundaries.

Operational workflow

From operational context to measured action.

  1. 01Connect production and utility data
  2. 02Normalise expected use
  3. 03Detect deviation and explain drivers
  4. 04Approve action within process constraints
  5. 05Verify outcome against baseline

Data sources and integrations

Connect the evidence that explains the decision.

  • Utility meters and submeters
  • HVAC, lighting, pumps and equipment state
  • Production, shifts, schedules and occupancy
  • Weather, temperature and humidity
  • Tariffs, invoices and maintenance context

Governance and resilience

Direct control is constrained by installed systems, safety interlocks, operating policy and customer approval. Recommendations, workflows and closed-loop control are separate modes.

Protocol roles, OEM compatibility, data retention, control limits and failure behaviour must be confirmed from the engineering-approved release and project documents.

Outcomes and KPI framework

Measure the operating result, not only the software activity.

Normalised energy-performance indicators

Use an agreed baseline, operational definition and evidence source before assigning a target.

Prioritised demand, schedule and equipment opportunities

Use an agreed baseline, operational definition and evidence source before assigning a target.

Human-approved actions with clear ownership

Use an agreed baseline, operational definition and evidence source before assigning a target.

Baseline and reporting-period evidence

Use an agreed baseline, operational definition and evidence source before assigning a target.

Solution architecture

Make responsibility visible from field to enterprise.

enCoreEnergy combines measurements with operational context, analytics, AI-supported recommendations, workflows and verification. Scadify or existing BMS/PLC systems provide qualified local acquisition and execution; EnergyPortal can consolidate enterprise portfolios. The architecture separates observation, recommendation, human-approved action and local execution so that each team can see what it owns.

Process-aware industrial energy optimisation using production, weather and equipment context
Process-aware industrial energy optimisation using production, weather and equipment context. Important control and compliance decisions remain in the project documentation.

Engineering and implementation

Move from architecture to accepted operation.

Engineering scope can include meter inventory, baseline design, significant-use analysis, interlock review, pilot acceptance criteria, field integration, commissioning, operator training and M&V planning.

Customer applications

Discuss integration, commissioning and operational support for your equipment and sites.

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.

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.

FAQ

Questions to resolve before implementation.

Can production context be included?

Yes, when production volume, product, shift, machine state and relevant constraints are integrated.

Does AI control the process automatically?

AI-supported analytics can recommend or prioritise actions; automatic control requires a separately approved control path and policy.

Can water and gas be analysed with electricity?

Yes. enCoreEnergy’s multi-utility model can relate resources to the same process context.

Next step

Define the right power consumption architecture.

Discuss your project →

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