Abstract
A method is presented to detect clear-sky periods for plane-of-array, time-averaged irradiance data that is based on the algorithm originally described by Reno and Hansen. We show this new method improves the state-of-the-art by providing accurate detection at longer data intervals, and by detecting clear periods in plane-of-array data, which is novel. We illustrate how accurate determination of clear-sky conditions helps to eliminate data noise and bias in the assessment of long-term performance of PV plants.
| Original language | American English |
|---|---|
| Number of pages | 4 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE 50th Photovoltaic Specialists Conference (PVSC) - San Juan, Puerto Rico Duration: 11 Jun 2023 → 16 Jun 2023 |
Conference
| Conference | 2023 IEEE 50th Photovoltaic Specialists Conference (PVSC) |
|---|---|
| City | San Juan, Puerto Rico |
| Period | 11/06/23 → 16/06/23 |
NLR Publication Number
- NREL/CP-5K00-88843
Keywords
- clear-sky conditions
- default parameters
- detection conditions
- false negative
- false positive
- mixed state
- photovoltaic system
- sky conditions
- time series