Energy · Utilities

Connecting distributed energy sites
into a single intelligence

Challenges on energy sites

Recurring problems in generation, transmission and utilities.

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 requires several screens and several judgments, so the response arrives late.

Representative use cases

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
Site data is connected through an ontology, defining assets, grids and locations in one structure.
Outcome
Generation, transmission and consumption status and alarms 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 peak 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 site data and turned into reports.
Outcome
Regulatory reports produced automatically, every figure traceable to its 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 site data gains meaning and turns into a decision.

Site
  • Generation and 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, Refinery sits on top of it and integrates both ways 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

Waste and peaks are found on the evidence of consumption patterns, cutting operating cost.

ESG automation

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

Site security

With on-premises deployment, data never leaves 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 both ways. Where none exists, it is built from scratch.

Let’s find the answer that fits
your energy operation, together.

Request a demo