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Power Curve Checker — 3 MW class

Is a 3 MW class turbine on its power curve? Density-corrected expected power vs measured at any wind speed.

Quick screening for the current onshore mainstream — 130–150 m rotors on 100 m+ towers: enter hub wind speed and measured kW, and the tool compares against a density-corrected cubic curve for a 3 MW class machine. Persistent mid-curve shortfall means pitch calibration, blade soiling or anemometer drift — in that order of likelihood.

+63.3%
Deviation from expected
On curve — healthy
Verdict
Expected power514 kW (density-corrected)
Turbine rating3,000 kW at 12 m/s
Power fraction at this wind17.1%

Between cut-in and rated wind, power grows with the cube of wind speed — a 10% anemometer error masquerades as a 33% power problem, so verify the met signal before blaming the turbine. Persistent deviation at mid-curve winds usually means pitch error or blade soiling/erosion.

Sources: IEC 61400-12-1 — power performance measurements; P = ½ρAv³Cp (cubic region, density-corrected)

Engineering estimate from published standards and typical equipment data. Site conditions, equipment datasheets and measured data govern the real result — confirm with a qualified engineer.

Use the free Power Curve Checker — 3 MW class online — Is a 3 MW class turbine on its power curve? Density-corrected expected power vs measured at any wind speed. Runs instantly in your browser: no signup, no upload, mobile-friendly.

About Power Curve Checker — 3 MW class

Quick screening for the current onshore mainstream — 130–150 m rotors on 100 m+ towers: enter hub wind speed and measured kW, and the tool compares against a density-corrected cubic curve for a 3 MW class machine. Persistent mid-curve shortfall means pitch calibration, blade soiling or anemometer drift — in that order of likelihood.

How to use Power Curve Checker — 3 MW class

  1. 1Enter hub-height wind speed and the measured power at that moment.
  2. 2Adjust air density for your site and season.
  3. 3Read the deviation and the verdict; investigate persistent shortfalls.

Why use Power Curve Checker — 3 MW class?

  • Density-corrected expected power — the correction IEC 61400-12 mandates
  • Cubic-region physics: catches the 'small wind error, big power error' trap
  • Deviation verdicts ranked by real-world cause likelihood
  • Class-correct rated power and wind presets

Frequently asked questions

How do I know if my wind turbine is underperforming?+

Compare measured power against the expected curve at the same wind speed and air density — persistently 5%+ low across mid-range winds is real underperformance. Single points mean nothing (turbulence, averaging); patterns across many 10-minute intervals mean money.

What usually causes power-curve deviation?+

In field order: anemometer/wind-vane error (calibration drift, mounting), pitch miscalibration, blade soiling or erosion, yaw misalignment, and controller derating you forgot about. Hardware failure is the rarest cause — measure twice before opening the gearbox.

Why correct for air density?+

Power is linear in density: a 45°C afternoon at altitude carries ~12% less air than the 15°C sea-level standard. Skip the correction and healthy turbines look sick every summer. The tool corrects automatically from your density input — see the air-density tool for site values.

A 10% wind error means how much power error?+

~33% in the cubic region — power scales with wind speed cubed below rated. This is why power-curve checks fail first on anemometry: verify the wind measurement (calibration, icing, wake) before judging the turbine by it.

Embed Power Curve Checker — 3 MW class on your website

Want Power Curve Checker — 3 MW classon your own site? Paste this snippet into any HTML page — it's free, with no API key or sign-up. The tool loads in an iframe and keeps working exactly as it does here.

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