DefinitionP

P50/P90

P50 and P90 are energy-yield exceedance estimates under a specified probability model and time horizon. P50 has a 50% probability of being exceeded; P90 has a 90% probability and is normally lower. The gap depends on uncertainty assumptions. Neither value is a production guarantee or a fixed percentage of the other.

2 min read
Keyur Rakholiya

Written by

Keyur Rakholiya

CEO & Co-Founder · SurgePV

Rainer Neumann

Edited by

Rainer Neumann

Editorial contributor · SurgePV

Quick answer

P50 and P90 are energy-yield exceedance estimates under a specified probability model and time horizon. P50 has a 50% probability of being exceeded; P90 has a 90% probability and is normally lower. The gap depends on uncertainty assumptions. Neither value is a production guarantee or a fixed percentage of the other.

What are P50 and P90?

PVsyst’s documentation defines P50 and P90 as exceedance values. P90 corresponds to the lower 10th percentile of the modeled energy distribution. Specify whether the estimate concerns one year or a multiyear average.

The P-number is a probability label. It is not an equipment-efficiency rating, an accuracy score or a promise about a particular sequence of future years.

How does the gap depend on uncertainty?

For a normal model whose mean equals P50:

P90 ≈ P50 − 1.2816 × standard deviation

Use energy units consistently. An illustrative P50 of 10,000 MWh/year and standard deviation of 500 MWh/year gives P90 of about 9,359 MWh/year. These are assumed calculation inputs, not a measured project or a regional benchmark.

Different uncertainty inputs produce a different gap. A narrower gap alone does not establish better data or a more accurate model: it can also reflect uncertainty omitted from the assessment.

What does the estimate need to disclose?

Item Why it matters
Energy boundary and units Inverter output and electricity delivered at the meter may differ
Time horizon A single-year value and a multiyear average address different events
Weather and equipment inputs The probability assessment is built on a production model
Uncertainty components Their source, dependencies and aggregation affect the result
Method and distribution A normal model is an assumption, not a universal requirement

NREL’s P50/P90 analysis provides a methodology reference. Retain the chosen method with the report rather than quoting only the final P-values.

Use in proposals and financial review

Use the energy scenario required by the actual project’s reviewer or contract. A P90 number does not automatically establish lender approval, debt-service coverage or customer savings. Those assessments also require the applicable financial and operating assumptions.

Read the P50 versus P90 energy-yield guide for a worked example, uncertainty checklist and comparison method. Confirm the available report and released scope when evaluating solar simulation software; do not presume that every product uses the same statistical method.

About the Contributors

Author
Keyur Rakholiya
Keyur Rakholiya

CEO & Co-Founder · SurgePV

Keyur Rakholiya is identified by SurgePV as its CEO and a company co-founder. His SurgePV author page lists only role information that can be tied to the public profile below; credentials, project totals, testing claims, media appearances, and speaking engagements are not asserted without retained evidence.

Editor
Rainer Neumann
Rainer Neumann

Editorial contributor · SurgePV

Rainer Neumann is credited as an editorial contributor on SurgePV content. This profile does not assert engineering credentials, project totals, software-testing experience, education, speaking engagements, or media citations because independent verification evidence is not retained in the publication record.

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