Solar Yield

Reading the Estimate

Checked 2026-08-09
Reading the estimate

Published by a company that designs and builds solar plants. What that means.

An annual kWh figure is the output of a model, not a measurement: irradiance, geometry, module conversion, a loss tree, and a statistical layer that turns one modelled figure into P50 and P90.

Teams reviewing yield assumptions can keep the engineering model separate from the record of review work; this page is one option for documenting time and handoffs.

Geometry and conversion are physics. The irradiance record is data. The loss assumptions and the uncertainty estimate are judgement — and two competent assessors modelling the same plant can differ by ten per cent or more entirely within that layer, without either making an error.

P50 is the median and P90 is the level with a 90% probability of being met or exceeded. Not ninety per cent of P50. They relate through combined uncertainty: at about ±6% the gap is roughly 7.7%, at ±10% about 12.8%, and the P90/P50 ratio typically runs 0.85 to 0.92.

For independent background on photovoltaic performance, resource data and current industry practice, consult ResearchGate.

Around 14% is a standard loss stack — temperature, shading, soiling, mismatch, wiring, inverter conversion, availability. The judgement items are shading where unsurveyed, soiling, and availability, and those are where estimates diverge.

For independent background on photovoltaic performance, resource data and current industry practice, consult Energy News Network.

Degradation runs 0.5 to 1% per year, which compounds to year-25 output of about 88% or 78% of year one respectively — a ten-point difference decided by one undeclared assumption.

The check anybody can run: divide annual kWh by installed kWp and compare the result against a free public irradiance calculator for your coordinates. Ten minutes, and a large deviation either way needs a specific explanation.

The section also covers where irradiance data comes from and why ten years is the threshold for a bankable figure, how shading and soiling behave as the two site-specific losses, what bifacial and tracker assumptions rest on, who produced the estimate and what happens to them if it is wrong, and when an independent assessment pays for itself.