Ten years of SCADA data from the Princess Amalia offshore wind farm: dataset description and access

Abstract. A comprehensive set of operational data from the 120-MW Princess Amalia offshore wind farm has been made available for the scientific community to use. The dataset spans the period 2008–2017 and covers meteorological, power, and control variables of all 60 turbines. This data description paper additionally contains the relevant background information of the wind farm, including coordinates, neighboring wind farms, and relevant metocean and environmental measurement campaigns. Together, these resources enable a wide range of applications, including wake model validation, wind farm control studies, operational analysis, and reliability research. The dataset is hosted by TNO and is freely available under a Creative Commons Attribution 4.0 (CC BY 4.0) license.

Authors

Publication Details

Journal
Wind Energy Science Discussions
Published
2026-11-04
DOI
https://doi.org/10.5194/wes-2026-193
Primary Topic
Wind Energy Research and Development
Type
preprint
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preprint

Ten years of SCADA data from the Princess Amalia offshore wind farm: dataset description and access

Rody Kemp, René Bos
Wind Energy Science Discussions
Wind Energy Research and Development
preprint

Ten years of SCADA data from the Princess Amalia offshore wind farm: dataset description and access

Rody Kemp, René Bos
preprint en

Abstract

Abstract. A comprehensive set of operational data from the 120-MW Princess Amalia offshore wind farm has been made available for the scientific community to use. The dataset spans the period 2008–2017 and covers meteorological, power, and control variables of all 60 turbines. This data description paper additionally contains the relevant background information of the wind farm, including coordinates, neighboring wind farms, and relevant metocean and environmental measurement campaigns. Together, these resources enable a wide range of applications, including wake model validation, wind farm control studies, operational analysis, and reliability research. The dataset is hosted by TNO and is freely available under a Creative Commons Attribution 4.0 (CC BY 4.0) license.

Wind Energy Science Discussions
Wind Energy Research and Development
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