AI agent for energy engineers
Boiler and Chiller Plant Efficiency Trend Agent
Real efficiency drift is confirmed, quantified in cost, and turned into an approved service request
What it does
Plant efficiency slips a little each month and nobody notices until the fuel bill jumps. This agent reads fuel, flow and temperature data for boilers and chillers and computes efficiency. It adjusts for load and weather, then compares the result to commissioning or test values and looks for drift. Before blaming equipment, it checks instrument calibration records and sanity-checks readings, because a drifting flow meter can fake a loss. If the drift is real, it estimates the cost and drafts a service request, such as tube cleaning or burner tuning. The engineer approves it. Edge case: chiller efficiency falls only in humid weeks, so the agent adjusts for wet bulb temperature before declaring degradation.
How it works
Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.
Read the steps as a list
- Weekly plant data arrives
- Read fuel, flow, power and temperature data
- Calculate efficiency at each load band
- Adjust for weather and compare to commissioning values
- Is the drift larger than the allowed band?If not: record as normal and continue monitoring. Back to step 3.
- Check calibration dates and sanity-check suspect instruments
- Do instruments pass and does the drift persist after correction?If not: request recalibration and hold the finding. Back to step 3.
- Estimate the annual cost of the drift
- Draft the service request
- Engineer approves the service requestThe agent waits here for your OK.
- Efficiency trend report and request
How it decides
Efficiency is judged at equal load and weather. A drift is real only when instruments pass calibration checks.
- Compare at the same load band and wet bulb temperature
- Treat a drop under 2% as noise
- Hold findings when calibration is over due
- Rank requests by cost of delay
Make it yours
Every agent is a starting point. You choose these settings for your own situation.
- Drift alert level (default 2%)
- Load bands
- Equipment list
- Calibration age limit (default 12 months)
What keeps you in control
It always asks you first
- Service requests
- Any equipment shutdown
Hard limits
- Never schedules shutdowns
- Never ignores calibration status
It stops when
- Done: drift confirmed or cleared
- Stop: instrument data cannot be trusted
Set it up
We guide you through the set-up, step by step
Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.
- One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
- The agent then walks you through connecting your own data, one source at a time
- A downloadable copy with the flow chart, the rules and the full guide
