Power Curve Checker — 1.5 MW class
Is a 1.5 MW class turbine on its power curve? Density-corrected expected power vs measured at any wind speed.
Quick screening for the global mid-fleet standard — GE 1.5, Suzlon S88 and kin, the world's most numerous turbine class: enter hub wind speed and measured kW, and the tool compares against a density-corrected cubic curve for a 1.5 MW class machine. Persistent mid-curve shortfall means pitch calibration, blade soiling or anemometer drift — in that order of likelihood.
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.
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 — 1.5 MW class online — Is a 1.5 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 — 1.5 MW class
Quick screening for the global mid-fleet standard — GE 1.5, Suzlon S88 and kin, the world's most numerous turbine class: enter hub wind speed and measured kW, and the tool compares against a density-corrected cubic curve for a 1.5 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 — 1.5 MW class
- 1Enter hub-height wind speed and the measured power at that moment.
- 2Adjust air density for your site and season.
- 3Read the deviation and the verdict; investigate persistent shortfalls.
Why use Power Curve Checker — 1.5 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 — 1.5 MW class on your website
Want Power Curve Checker — 1.5 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.
<iframe src="https://tooljolt.com/tools/wind-power-curve-checker-1500kw" width="100%" height="640" style="border:1px solid #e5e7eb;border-radius:12px;max-width:680px" title="Power Curve Checker — 1.5 MW class — ToolJolt" loading="lazy"></iframe>Related Energy tools
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