Issue |
EPJ Photovolt.
Volume 16, 2025
Special Issue on ‘EU PVSEC 2024: State of the Art and Developments in Photovoltaics’, edited by Robert Kenny and Gabriele Eder
|
|
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Article Number | 2 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/epjpv/2024042 | |
Published online | 08 January 2025 |
https://doi.org/10.1051/epjpv/2024042
Original Article
An investigation on the uncertainty of fill factor
European Commission, Joint Research Centre, Ispra, Italy
* e-mail: diego.pavanello@ec.europa.eu
Received:
28
June
2024
Accepted:
28
November
2024
Published online: 8 January 2025
This study focuses on the fill factor (FF) measurement uncertainty contributing to the uncertainty in the labeling of the nominal maximum power (Pmax) of photovoltaic modules, which is determined under Standard Test Conditions (STC). Given that the price of these modules is tied to their Pmax, accurately quantifying the uncertainty of this measurement is crucial for ISO/IEC 17025 accredited laboratories. Adhering to the “Guide to the expression of uncertainty in measurement”, this work evaluates the uncertainty contribution of the Fill Factor (FF), a key parameter linking Pmax, the open-circuit voltage (Voc), and the short-circuit current (Isc). The analysis is based on data from three reference modules measured at the European Solar Test Installation (ESTI), part of the Joint Research Centre of the European Commission, since 1996. This data shows a reduction in FF uncertainty from approximately 0.6% to 0.3%, attributed to advancements in measurement technologies and techniques. Considering the goal of top calibration laboratories to measure Pmax with the lowest possible uncertainty, the improvement in FF uncertainty measurement is significant, ensuring more accurate labeling of photovoltaic modules.
Key words: Fill factor / photovoltaic module nominal power / measurement uncertainty
© D. Pavanello et al., Published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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