Energy & Utilities

Connecting distributed energy sites
into a single intelligence layer

Challenges on
energy sites

Recurring problems on generation, T&D and utility sites.

The data sits apart

Generation, substation and meter data live in SCADA, EMS and billing systems, so seeing the whole picture at once is difficult.

Failures are known too late

Equipment anomalies are often understood only after they have already caused a stoppage or an incident, leaving little room to act preventively.

ESG and regulatory reports are manual

Emissions and consumption figures for regulatory reports are gathered by hand, which takes time and leaves room for error.

Real-time response lags

Adjusting consumption to demand, tariffs and weather means checking several screens and making several judgments, so the response arrives late.

How the problems are solved

What Refinery actually does
on an energy site.

Unified control of distributed assets

Problem
SCADA, EMS and meter data kept apart, with no integrated view
Approach
Field data is connected through an ontology, defining assets, grids and locations in one structure.
Outcome
Status and alarms for generation, T&D and consumption, live on one screen

Predictive maintenance

Problem
Response only after an anomaly has grown into a stoppage or incident
Approach
Patterns that differ from the norm are learned from time-series data to catch early signs.
Outcome
Fewer unplanned stoppages and less downtime by acting before failure

Energy efficiency and peak optimization

Problem
Waste and demand charges built up by invisible consumption patterns
Approach
Consumption is analyzed by asset and segment, with adjustments proposed against tariff and demand signals.
Outcome
Lower operating cost from reduced peaks and better efficiency

Automated ESG and carbon reporting

Problem
Manual aggregation of emissions and consumption for regulatory reports
Approach
Emissions and consumption metrics are aggregated automatically from field data and turned into reports.
Outcome
Regulatory reports produced automatically, traceable to their source

Real-time anomaly detection and alerts

Problem
Anomalous signals missed, or noticed too late
Approach
An AI agent detects anomalies in live data and proposes both the likely cause and the next action.
Outcome
Early recognition of problems, with an evidence-backed next step in hand

How it fits together

How field data gains meaning and turns into a decision.

Site
  • Generation
  • substation assets
  • smart meters
  • sensors
Connect
  • SCADA
  • EMS
  • Modbus
  • OPC UA
  • DNP3
  • IEC 61850
Refinery
  • Ontology
  • AI agent
  • rules and automation
Use
  • Unified dashboard
  • alerts
  • ESG reports

Where SCADA or EMS already exists, a layer sits on top of it and integrates bidirectionally rather than replacing it. Where none exists, collection is built from the ground up.

Systems we connect to

The systems and protocols commonly used on energy sites.

SCADAEMSSmart meters / AMIModbusOPC UADNP3IEC 61850ERP

Systems not listed here can still be connected over standard protocols and APIs. Get in touch and we will walk through it.

What you gain

Benefits across operations, engineering and management.

Early anomaly detection

Signals that differ from the norm are caught in real time, reducing stoppage and incident risk.

Unified control

Distributed assets and grids are monitored on one screen and in one structure.

Energy efficiency

Consumption patterns reveal waste and peaks, cutting operating cost.

ESG automation

Emissions and consumption reports are aggregated automatically, with sources traceable.

Site security

With on-premises deployment, data does not leave your network and the OT⁠/⁠IT boundary stays protected.

Integrate or build new

Where legacy SCADA, EMS or ERP exists, Refinery layers on top and integrates bidirectionally. Where none exists, it is built from scratch.

The Refinery team will work with you to find
the answer that fits your energy operation.

Request a demo