Solar Lattice

Mitigation

Production forecast update

ID
mit:forecast-update
IRI
https://solarlattice.org/kb/mit/forecast-update
Status
active
Also known as
project revenue forecasts, long-term energy assumptions

A production forecast update revises the expected energy and revenue of a plant once field evidence shows that the original model assumptions do not match actual behavior. It applies to flawed PAN file yield losses when independent testing reveals material differences in module parameters from the file used for financing or design. For widespread fungal soiling losses, forecasts should be based on site cleaning results instead of assuming that rain resets the loss, because bio-soiling can cause persistent losses that do not recover after rainfall. For system degradation vs module degradation, the long-term energy assumptions should be updated with field measurements and model degradation at system level, including the mismatch from modules aging at different rates. For tracker wind stow production losses, compare actual annual stow hours with the energy model assumptions and update forecasts and variance reporting if recurring gust-driven stow was not modeled. Before changing loss assumptions, separate the issue from real operational faults, clipping, curtailment and outages, and document the uncertainty when only low-resolution data is available. Updating the forecast does not recover the lost energy; it only makes expectations and reporting reflect the loss. Physical actions such as cleaning or tracker settings must be handled separately and stay within structural limits.

<!-- review notes

Claims

typical_power_loss

c1 verified · fact 5–11 PERCENT

Conditions: Persistent fungal bio-soiling in humid subtropical regions; loss may not recover after rainfall, which is why forecasts should be updated

verified by: joshuahamsaverified on: 2026-10-20review note: reviewer: the compiler-flagged conflict is a different scenario or technology, not disagreement

c2 verified · fact ≤ 4 PERCENT

Conditions: Added annual production loss when gust-driven tracker stow is accounted for, compared with models using only hourly wind data

verified by: joshuahamsaverified on: 2026-10-20review note: reviewer: the compiler-flagged conflict is a different scenario or technology, not disagreement

degradation_rate

c3 verified · fact nominal 0.1 PERCENT-PER-YR

Conditions: Allowance some independent engineers add to the module degradation rate to represent mismatch when estimating system degradation

A modeling allowance, not a universal rule; site measurements and string or IV data should be used when available.

verified by: joshuahamsaverified on: 2026-10-20

Referenced by

Data