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.

Publication boundary

Capabilities are described as supported or project-configured where appropriate. Customer identities, quantified results, certifications and regulatory acceptance are not inferred from the solution page.

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 →