Use case · Heat Rate Deviation & Controllable Losses

Find the Heat Rate Losses Burning Your Fuel Budget

DOTA AI compares actual vs. expected heat rate per unit, breaks the gap into controllable losses, and prices each one in fuel dollars.

Explainer video in production

The interactive walkthrough for Find the Heat Rate Losses Burning Your Fuel Budget is being produced. The full use case is below.

Illustrative data. No real utility names or plant names are used.

+2.7%
Fleet heat rate deviation
$9.8M/yr
Fuel cost impact
4 of 4
Units above expected
Built for

Plant performance engineers, plant managers, fuels and generation finance

The problem

PI holds the answer in forty thousand tags, but turning them into controllable heat rate losses and dollars takes a manual, multi-week performance study.

With DOTA AI

DOTA AI compares actual vs. expected heat rate per unit, breaks the gap into controllable losses, and prices each one in fuel dollars.

How it works

From a question to a deployed app.

01

Ask

Compare actual vs. expected heat rate by unit, break down controllable losses, and show fuel cost impact.

02

Connect

PI historian, unit design curves and fuel prices, with your heat rate method from Knowledge.

03

Break down

A waterfall splits the gap into six controllable losses and prices each one.

04

Act

Share with operations so the next condenser cleaning is scheduled by value, not the calendar.

What you see
  • Unit 3 runs +390 Btu/kWh, worth $4.1M a year in fuel
  • Condenser backpressure is the biggest loss: 140 Btu/kWh, $1.5M/yr
  • Backpressure has climbed for 8 straight weeks
  • Prioritize maintenance by fuel dollars, not by the calendar
Source systems
PI historianUnit design curvesFuel prices

The takeaway

Every Btu, accounted for.

Build find the heat rate losses burning your fuel budget on your data.

See DOTA AI build a real utility app on your data in a 30-minute working session.