Pyranometer Drift Analysis
PR is a ratio. Drift the denominator and you manufacture a problem that isn't there — or hide one that is.
The challenge
Performance ratio divides measured generation by measured irradiance. That makes the pyranometer as consequential as the plant itself — and pyranometers soil, age and drift.
A sensor reading high depresses PR and triggers investigations into plants that are performing perfectly well. A sensor reading low inflates PR and conceals genuine degradation. Both failure modes cost money, and neither announces itself.
The approach
Each sensor is cross-checked three ways: against its redundant pair in the same plane of array, against a clear-sky model on cloud-free days, and against the plant's own aggregate DC current.
Weather moves all references together. Drift does not. Consistent one-way divergence across the whole irradiance range — not just at the extremes — is the signature that separates a failing instrument from a cloudy afternoon.
- Cross-check each sensor against its redundant pair
- Compare against a clear-sky model on cloud-free days
- Validate against the plant's own aggregate DC current
- Test for one-way divergence across the full irradiance range
- Rank sensors by drift magnitude for calibration
The outcome
Drift-corrected irradiance and a calibration priority list — so PR trends describe the plant rather than the sensor watching it.
- Irradiance baseline corrected for measured drift
- False investigations into healthy plants avoided
- Genuine degradation no longer concealed by an optimistic sensor
- PR becomes defensible in front of a board
Curious what this would find in your portfolio?
A diagnostic runs across a representative slice and establishes the baseline before any build commitment.