| Issue |
EPJ Photovolt.
Volume 17, 2026
Special Issue on ‘EU PVSEC 2025: State of the Art and Developments in Photovoltaics', edited by Robert Kenny and Carlos del Cañizo
|
|
|---|---|---|
| Article Number | 3 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/epjpv/2025025 | |
| Published online | 16 January 2026 | |
https://doi.org/10.1051/epjpv/2025025
Original Article
Assessing tracker availability in 2 GW solar power plants
1
Statkraft UK LTD, 19th Floor 22 Bishopsgate, London EC2N 4BQ, UK
2
3E, Kalkkaai 6 Quai à la Chaux, Brussels 1000, Belgium
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
30
June
2025
Accepted:
1
December
2025
Published online: 16 January 2026
Single-axis trackers are key components to optimize utility-scale solar energy generation. As the overall electricity production share of PV is globally increasing at a significant pace, profitability margins narrowed and the industry is becoming more competitive. Ensuring high availability of all devices in a photovoltaic (PV) power plant is crucial for healthy asset life. Historically, specific key performance indicators (KPI) for single-axis trackers have been overlooked by both research and industry. This work proposes a KPI for trackers, with two alternative methods. Over 2GWp of PV power plants have been analyzed, mostly located in temperate climate zones. The median of results range from 66% to 88% availability, depending on data filtering considerations. These results are substantial, and alarming. Industry claims sometimes even as high as 99% availability, while the assessment of more than 2 GWp PV power plants tells us a different story. In addition, this work highlights and discusses multiple issues regarding tracker data quality, especially related to angle datasets, and identifies missing data as one of the main systematic issues when dealing with single-axis tracker data.
Key words: Solar energy / photovoltaics / single-axis tracker / key performance indicator / availability / performance optimization
© G.L. Martins et al., Published by EDP Sciences, 2026
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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