Energy Monitoring Journey
Your energy bill just spiked 40%. No one knows which line caused it.
The Challenge
Energy management in industrial facilities faces:
- Scattered data - Meters, submeters, BMS, utility feeds
- No allocation - Can't trace consumption to specific lines or processes
- Reporting burden - Sustainability reports require manual data collection
- Hidden waste - Inefficiencies buried in aggregate numbers
Traditional approaches fail because:
- Data silos prevent cross-system analysis
- Query logic isn't documented
- AI-generated insights can't be audited
- Sustainability claims can't be verified
The Solution: Governed Energy Intelligence
OpenIndustrial provides the Control Plane for your energy data:
| Capability | How It Helps |
|---|---|
| Unified consumption view | All meters, all sources, one governed layer |
| Cost allocation queries | Azi builds queries that trace consumption to processes |
| Full audit trail | Every query, every report, every insight—tracked |
| MCP-native AI | Claude or Copilot analyzing governed energy data |
When the sustainability auditor asks "How did you calculate that?", you'll show them the query, who approved it, and the full data trail.
What You'll Build
By the end of this journey:
| Component | Description |
|---|---|
| Connections | Power meters, gas meters, BMS feeds, utility data |
| Surfaces | Building-level, line-level, equipment-level monitoring |
| Warm queries | Consumption tracking, cost allocation, demand analysis |
| API endpoints | ERP integration, sustainability reporting, dashboards |
| MCP integration | AI-powered energy optimization insights |
Two Tracks
Track A: Hybrid Integration
"Monitor Without Replacing"
You have existing meters, BMS, and energy management systems. This track adds governance:
- Connect existing meter data via IoT Hub
- Create surfaces that organize by building, floor, or line
- Build allocation queries with Azi
- Generate auditable sustainability reports
Track B: Full System
"Meter It All"
Starting fresh or want complete control:
- Design your metering architecture from scratch
- Create a complete surface hierarchy
- Build a comprehensive query library
- Establish team permissions for operations, sustainability, and finance
Prerequisites
| Requirement | Details |
|---|---|
| OpenIndustrial account | Free tier works for this journey |
| Azure subscription | For IoT Hub connections |
| Data sources | Meters, BMS, or simulator |
| Time | ~2 hours for Hybrid, ~4 hours for Full |
No meters connected yet? Use our energy simulator to follow along. The patterns are identical.
Why Governed Energy Data Matters
Sustainability Reporting
| Requirement | How Governed Queries Help |
|---|---|
| Scope 1 emissions | Auditable queries against gas consumption |
| Scope 2 emissions | Traceable electricity allocation |
| Reduction targets | Documented baseline and progress |
Cost Allocation
- By department: Which team consumes what
- By process: Which production lines cost most
- By time: Peak demand vs off-peak patterns
Category Metrics
At the end of this journey:
| Metric | Target |
|---|---|
| Time to First Governed Query | < 30 minutes |
| Consumption queries built | 5+ |
| Audit coverage | 100% of energy insights |
| AI integration | At least 1 MCP-native AI |
Choose Your Track
Hybrid Integration
Add governance to existing meters and BMS. No rip-and-replace.
Full System
Build from scratch. Complete control over metering architecture.
What's Next
| Track | Link |
|---|---|
| Start with Hybrid | Hybrid Track → |
| Start with Full | Full Track → |
| See common patterns | Patterns → |