Power plant OEE benchmarks by fuel type are harder to find than most articles suggest, because the industry does not publish OEE. Generators report availability, forced outage rate, capacity factor and heat rate instead. Those measures are public, recent and split by plant type, and together they answer the same question OEE asks: how much of what this plant could do is it actually doing? This guide gives the latest published figures for coal, gas, nuclear and hydro, and shows how to turn them into a fair OEE view. To benchmark your own units, book a short walkthrough.
Power Plant OEE Benchmarks by Fuel and Plant Type: What Good Looks Like in 2026
Coal, gas, nuclear and hydro plants are built for different duties. See the latest published availability, outage and capacity factor figures for each.
The industry publishes availability, forced outage rate and capacity factor instead.
A peaking gas turbine and a nuclear unit have completely different duties.
A low figure for a peaker says nothing about how well it is run.
Same technology, size, age and duty, on the same definitions.
Is There an OEE Benchmark for Power Plants?
Not an official one. No regulator or industry body we checked publishes OEE by fuel type.
Overall equipment effectiveness: availability multiplied by performance multiplied by quality. It was designed for factories that make discrete products.
- What exists. Public data on availability, forced outage rate, capacity factor and heat rate, by plant type.
- What does not. A recognised OEE percentage for coal, gas, nuclear or hydro plants.
- What this guide does. Gives the published figures, then shows how to map them to OEE for internal use.
The published measures are more useful anyway, because they are defined the same way everywhere. We can map yours on a call.
How OEE Maps to Power Plant Measures
Each OEE factor has a close equivalent in generation. The mapping below is our own formulation.
| OEE factor | Factory meaning | Power plant equivalent |
|---|---|---|
| Availability | Share of planned time the line runs | Equivalent availability factor: time available, adjusted for deratings |
| Performance | Speed against ideal rate | Output against capability when running, or actual heat rate against target |
| Quality | Good units against total | Generation delivered within grid and environmental limits |
These definitions come from the NERC Generating Availability Data System, used across North America.
Using standard definitions means your figures can be compared with published ones. See the mapping in a demo.
The One Published Power Plant OEE We Found
A 2018 university thesis calculated OEE for one combined cycle block in Indonesia.
Source: Universitas Gadjah Mada thesis on Priok combined cycle Block 3. The main loss was traced to fuel gas compressor damage.
Note where the loss sits. Availability was very high. The low figure came from performance: the block was available but produced well below capability.
Splitting the three factors is what makes OEE useful inside a plant. Our specialists can run the split on your data.
Forced Outage Rate by Plant Type
Forced outage rate is the closest public measure of equipment reliability, and 2025 was a difficult year.
NERC 2026 State of Reliability. Lower is better.
| Plant type | 2024 | 2025 |
|---|---|---|
| All conventional generation | 7.6% | 9.2% |
| Coal | 11.2% | 14.1% |
| Gas combined cycle | 4.2% | 5.7% |
| Gas steam | 19.2% | 22.4% |
| Gas turbine, simple cycle | 20.7% | 22.8% |
| Nuclear | 2.7% | 2.2% |
| Hydro | 8.4% | 7.7% |
NERC notes that most large coal units are over 40 years old and were not designed for regular cycling. That helps explain the rise.
A unit beating its type average is doing well; one above it has a clear target. We compare yours in every rollout.
Capacity Factor by Fuel
Capacity factor shows how much a plant generated against its maximum. It varies hugely by fuel.
US Energy Information Administration, electric power sector.
These swings are driven by fuel prices and demand, not by how well plants were run. Coal ran more in 2025; combined cycle ran slightly less.
Capacity factor belongs in a commercial review more than in an equipment one. Ask our team how the two are separated.
Why Capacity Factor Is Not a Performance Score
A plant can be in excellent condition and still have a low capacity factor, because the grid did not call on it.
- Built to run at peak hours
- Capacity factor about 19%
- Availability 96–98% for peaking units
- Judged on starting and being ready
- Low run hours are by design
- Built to run flat out
- Capacity factor about 91%
- Forced outage rate about 2%
- Judged on continuous output
- Any lost hour is costly
The gas turbine availability range is from industry reliability data cited in a 2011 Power Engineering article, so treat it as indicative.
Deciding what counts as planned time is the most important choice in power plant OEE. Our engineers can advise.
Benchmarks for Indian Thermal Plants
India reports plant load factor, which is the same idea as capacity factor.
Central Electricity Authority, coal and lignite plants.
- Load factor reflects scheduling. It depends on demand, merit order and fuel supply as well as plant condition.
- Availability is the plant’s own measure. The 85% benchmark is the level at which fixed charges are fully recovered.
- Compare within a group. Units of the same size and vintage give the fairest view.
For Indian stations, availability against 85% and heat rate against norm are the two figures to watch. See both in a session.
Reference Points by Plant Type
Pulling the published figures together gives a set of reference points, not targets.
| Plant type | Forced outage rate, 2025 | Capacity factor, 2025 | Heat rate, 2024 |
|---|---|---|---|
| Coal | 14.1% | 48.8% | 10,777 Btu/kWh operating |
| Gas combined cycle | 5.7% | 58.2% | 7,548 Btu/kWh tested |
| Gas turbine, simple cycle | 22.8% | 18.9% | 10,999 Btu/kWh tested |
| Nuclear | 2.2% | 91.0% | 10,443 Btu/kWh operating |
| Hydro | 7.7% | 35.3% | Not applicable |
- Coal. Good means a forced outage rate well under the fleet average, with tube leaks under control.
- Combined cycle. Good means a low forced outage rate and starts that succeed first time.
- Peaking gas turbines. Good means high availability and starting reliability, not high run hours.
- Nuclear. Good means very few unplanned losses between refuelling outages.
- Hydro. Good means availability when water is there; capacity factor follows rainfall.
Figures are North American and US averages. Use them for scale, then compare with sister units. Discuss the right peer group with our advisors.
Building an OEE View for Your Plant
For internal use, OEE can be built from the standard measures in three steps.
Illustrative. State your definitions with the number, or it cannot be compared.
Decide whether reserve shutdown hours count. For most plants they should not.
Take availability and deratings from your outage records.
Planned outage, forced outage, derating, heat rate.
The total matters less than the split. It shows whether to work on outages, deratings or efficiency first. We build the split in a working session.
How to Benchmark Fairly
Most misleading comparisons break one of five rules.
Compare subcritical with subcritical, F-class with F-class.
Baseload, cycling and peaking units have different expectations.
Older units carry more forced outages.
Use standard formulas for every figure.
One year can be skewed by a single long outage.
Your own fleet is often the best peer group.
A unit that looks average against a national figure may be the weakest in its own station, or the best. Peer comparison shows which.
Three to five years of outage records are enough to start. Try it in a pilot.
OEE Benchmarking Checklist
A quick check before quoting or using any benchmark.
Cause codes are the usual weak point; without them the losses cannot be split. A data review checks that first.
How iFactory Benchmarks Power Plant Performance
iFactory calculates the standard measures from your own records and compares like with like.
Availability, forced outage rate, capacity factor, heat rate.
Three factors and the losses behind each.
Sister units side by side.
By cause, system and period.
Published figures alongside your own.
Answers benchmark questions in plain language.
It runs on premises and reads from your historian and outage records. Share three years of events and we will show the first comparison in a trial.
See How Your Units Compare
Share your outage records and generation data. We calculate the standard measures, build the OEE split and compare like units.
Equivalent availability is 78% against 88% for the best sister unit. Two-thirds of the gap is forced outages from boiler tube leaks.
Finding the Real Gap Behind an Average Number
This is how an operations head might use the comparison.
iFactory ships as a pre-configured NVIDIA AI server, racked and ready with the performance and OEE models loaded. Rack it, plug in power and Ethernet, and the AI is live. Scope covers data connections across units, control room, stores and planning office, DCS, historian, CMMS and ERP integration, cabling and network setup, team training and 24×7 remote monitoring.
Server installed, DCS, historian and CMMS links live, history loaded.
Models tuned on your own plant data, then piloted on one unit with your team reviewing every output.
Rollout to the agreed units, team training done, 24×7 remote monitoring in place.
Software, server and integration come as one package. For pricing, contact our sales team.
Frequently Asked Questions
There is no official benchmark. The industry reports availability, forced outage rate and capacity factor instead, and those should be compared with like units.
Multiply availability by performance by quality. Equivalent availability, output against capability and generation within limits are common choices for the three factors.
NERC reported a weighted equivalent forced outage rate of 14.1% for coal units in North America in 2025, up from 11.2% in 2024.
Peaking units are built to run few hours. US gas turbines averaged about 19% capacity factor in 2025, which reflects dispatch, not condition.
The Central Electricity Authority reported 70.06% for coal and lignite plants in 2025–26, with central sector plants at 76.34%.
Standard measures, an OEE split and peer comparison for a station typically fit within a 6–12 week rollout. Plan it with our specialists.
Benchmark on Measures You Can Defend
iFactory builds availability, outage and OEE figures from your own records and compares like units, so targets rest on real numbers.
Illustrative. Comparing like units on the same measure is more useful than any single industry number.
