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Energy Optimisation Agent
Closed loop agent monitors energy consumption, identifies waste, autonomously adjusts setpoints within configured bounds.
01 PROBLEM STATEMENT
Manual Energy Management is Missing Real-Time Optimisation Opportunities
A multi-facility manufacturer tracked energy consumption through monthly utility bills and quarterly reviews. HVAC, compressed air, and lighting systems ran on fixed schedules regardless of actual production load. Energy waste was invisible until the bill arrived. Engineering teams lacked real-time visibility into consumption patterns. Adjustment decisions were made reactively based on last month’s data. Energy cost reduction targets were missed consistently.
02 CURRENT CHALLENGES
What the Manufacturer was Struggling With
Fixed-Schedule Operation
No load-based adjustment
HVAC and systems ran on fixed schedules regardless of actual production demand.
Monthly Visibility Only
Delayed feedback loop
Energy waste discovered only when utility bill arrived. No real-time correction possible.
Manual Adjustment Process
Reactive decision-making
Engineering teams made setpoint changes reactively based on last month’s data.
Missed Savings Targets
Cost reduction stalled
Energy cost reduction targets consistently missed due to lack of real-time control.
03 SOLUTION OVERVIEW
STAR’s approach – AINE Energy Optimisation Agent
STAR Systems deployed AINE Energy Optimisation Agent with BMS/SCADA write-back API requiring OT-IT integration. Smart meter data feeds via MODBUS or BACnet. ERP energy cost allocation for FinOps view. Safety interlock system confirmation before any setpoint change. Energy manager sets adjustment bounds. Agent operates autonomously within bounds. Weekly energy savings report. STAR monitors agent telemetry.
AI PATTERN
Closed-Loop Control + Real-Time Optimisation + Autonomous Setpoint Adjustment
04 WORKFLOW PROCESS
Step-by-Step: How the Agent Optimises Energy Autonomously
Step 1 (Data Ingestion): Smart meter via MODBUS/BACnet. ERP cost allocation. MES schedule feeds into the agent for real-time load awareness.
Step 2 (Pattern Analysis): Consumption correlated with load. Waste identified by zone. Agent builds an accurate picture of where energy is being lost.
Step 3 (Optimisation Calculation): Agent calculates optimal setpoints for current load. HVAC, compressed air, and lighting adjustments determined dynamically.
Step 4 (Safety Interlock Check): Safety confirmation before any changes are executed. Agent operates strictly within pre-approved bounds set by the energy manager.
Step 5 (Autonomous Adjustment): BMS/SCADA API executes setpoint changes automatically. No manual intervention required.
Step 6 (Telemetry Monitoring): Weekly energy savings report generated. STAR monitors agent telemetry continuously for performance and anomalies.
05 KEY FEATURES
What the Platform Does
Closed-Loop BMS/SCADA Control:
Requires OT-IT integration. Writes setpoints to BMS via API. Fully automated control loop with no manual intervention needed.
Real-Time Smart Meter Integration:
MODBUS or BACnet feed for real-time energy tracking by zone. Consumption data is continuously ingested for accurate optimisation.
ERP Energy Cost Allocation:
Cost allocated by department or production line. Visibility into energy spend drives accountability across the organisation.
Safety Interlock System:
Confirmation required before any setpoint change is executed. Agent always operates within pre-approved bounds configured by the engineering team.
Autonomous Load-Based Adjustment:
HVAC, compressed air, and lighting adjusted dynamically based on actual production load. Fixed schedules eliminated entirely.
Weekly Savings Report and Telemetry:
Energy savings quantified weekly. STAR monitors agent telemetry to ensure continuous performance and identify any drift or anomaly.
06 BUSINESS OUTCOMES
What Changes After Go-Live
15–20%
Energy Cost Reduction on covered zones6–9 Months
Positive ROI Timeline on energy savings aloneDaily
Energy Performance Visibility from monthly to daily KPIsZero
Operational Disruption agent operates within boundsCFO
- Energy cost reduction 15–20% on covered zones.
- ROI typically within 6–9 months on energy cost savings alone.
COO
- No operational disruption. Agent operates within pre-approved bounds.
- Energy performance KPIs move from monthly review to daily visibility.
CEO
- ESG reporting: measurable carbon reduction commitment delivered.
- Regulatory compliance: Bureau of Energy Efficiency targets met systematically.
07 REAL-WORLD SCENARIO
A Day in the Life – Before and After
| Before | After |
|---|---|
| HVAC running at full capacity during low production. Waste invisible until bill arrives. Manual adjustment required. | Agent detects low load. HVAC reduced autonomously. Savings captured in real-time. |
| Compressed air leaks waste energy. Discovered quarterly. Cost accumulates without visibility. | Smart meter detects consumption drift. Agent flags anomaly immediately. Investigation triggered. |
| Lighting on fixed schedule. Floor empty after hours. Cost continues without visibility. | Lighting adjusted by zone and schedule. Areas dimmed when unoccupied. Cost tracked per line. |
| Energy targets missed quarterly. Reviews based on last month’s data. Adjustments arrive too late. | Performance tracked daily. Agent optimises continuously. Targets met consistently. |
08 ROI AND VALUE JUSTIFICATION
Why the Numbers Work
| Value Driver | Indicative Impact | How It Is Realised |
|---|---|---|
| Energy cost reduction | 15–20% on covered zones | Real-time adjustment eliminates waste. Systems optimised continuously. |
| Positive ROI timeline | Within 6–9 months on energy savings alone | Cost reduction exceeds platform cost within three quarters. |
| No operational disruption | Agent operates within pre-approved bounds | Safety confirmation before changes. Engineering sets limits. Agent complies. |
| Daily energy visibility | Monthly review to daily KPIs | Real-time tracking by zone. Weekly report. Continuous performance monitoring. |
| ESG and compliance value | Measurable carbon reduction commitment | Savings translate to carbon reduction. BEE targets met systematically. |
09 NEXT STEPS
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