Plant Energy Usage Monitoring Agent
Monitors real-time plant electricity, gas, and compressed air usage against production volume to identify waste, equipment inefficiency, and cost-saving opportunities.
Facilities and utilities teams at manufacturing plants typically review energy bills once a month after the fact, with no way to connect a spike in consumption back to a specific machine, shift, or process running at the time, making it nearly impossible to act on inefficiency before it repeats
Equipment left idling, compressed air leaks, and off-hours HVAC or lighting waste can persist for months undetected because nobody is watching usage in real time against what the plant is actually producing
This agent continuously tracks metered electricity, natural gas, and compressed air consumption at the plant and sub-meter level, normalizing usage against production volume to calculate energy intensity per unit produced
It flags consumption anomalies such as off-hours baseload spikes or per-unit energy intensity drift, and quantifies the cost savings available from each identified inefficiency
The agent ingests interval meter data (electricity, gas, compressed air) at the plant and equipment sub-meter level alongside production output volumes from the MES, calculating energy intensity (e.g., kWh per unit) by line and shift. It applies anomaly detection to baseload and off-hours consumption patterns to surface waste such as equipment left running unnecessarily or air leaks, and benchmarks current intensity against historical and best-demonstrated performance. Findings are quantified in cost terms and compiled into a recurring energy performance report.
Meter & Production Data Collection
- Pull interval electricity, gas, and compressed air meter data
- Ingest sub-meter readings by line or major equipment where available
- Retrieve production output volume by line and shift
- Normalize timestamps across all data sources
Energy Intensity Calculation
- Calculate energy consumption per unit produced by line and shift
- Benchmark current intensity against historical baseline
- Identify lines or shifts with above-baseline energy intensity
- Separate production-driven usage from fixed baseload
Anomaly & Waste Detection
- Detect off-hours baseload spikes suggesting equipment left running
- Flag compressed air usage patterns consistent with leaks
- Identify equipment showing rising energy draw versus historical norms (early-failure indicator)
- Rank anomalies by estimated cost impact
Reporting & Savings Recommendations
- Compile a plant energy performance report with cost impact per finding
- Recommend specific corrective actions (leak repair, shutdown procedures, equipment service)
- Track savings realized from implemented recommendations over time
- Distribute report to facilities and plant leadership