Offshore wind measurement & operational data


We offer access to our operational offshore wind farm data and our offshore meteorological data. In doing so we aim to facilitate research, education and development in renewable energy. 

Offshore operational data


We offer access to operational data from Anholt and Westermost Rough offshore wind farms to support universities and research institutions conducting research projects without commercial purposes. This could help with developing or improving models to reproduce wind flow complexity, wind farm wake effects and wind turbine monitoring.

Data packages


There are two offshore wind farm data packages, including the data and information listed below. 

Turbine locations and documentation for the SCADA systems and variables are included. Requests for additional SCADA variables or data will be rejected.

Anholt package:


2 years of 10-minute SCADA data (nacelle wind speed, electrical power, rotor speed, yaw position and pitch angle) for all turbines together with on-site 10 min. statistics from wave buoy data and ground-based LIDAR.


Westermost Rough package:


2 years of 10-minute SCADA data (nacelle wind speed, electrical power, rotor speed, yaw position and pitch angle) from all turbines, together with on-site 10 min. statistics from wave buoy and ground-based LIDAR data.
Close-up of a wind turbine blade at sea, with other wind turbines visible in the background.

Apply for access to the data

You can apply for access to the data by using the form below.
Applications will be reviewed based on the following criteria:

  • Your project is taking place at a research institute or university, for non-commercial purposes.
  • The project aims to create or validate knowledge, methods or tools for the development of the wind industry, that will be of benefit to Ørsted.
  • The project and its expected completion date is realistic and achievable.

If sufficient information is supplied in the application, it will be reviewed by internal specialists and you will be informed of the result.

Access to data will be provided under the signing of a standard Ørsted non-disclosure agreement (NDA), which will not in any case be modified on a project specific basis. Requests implying modifications to the NDA will be rejected.

Apply


To apply for access to the data, please fill in the form below. If you can provide further information to demonstrate your research skills and knowledge, such as links to previous work, this will help us consider your application.

Further questions, and supplementary documentations to applications can be sent to RDdatasharing@orsted.com.

Applications for data packages will not be accepted by email, only by using the form below.

Research information

Offshore meteorological data


Data from the following three offshore meteorological stations are available for use by researchers and the public:

LIDAR data (Light Detection and Ranging): 10-minute statistics for offshore wind measurements including offshore wind speed and wind direction data from LIDARs installed at:

1) Anholt offshore wind farm (ANH) 

2) Westermost Rough offshore wind farm (WMR)

3) FINO2 offshore meteorological station (FINO2)

Download data

Other public sources of meteorological data


In addition to sharing these data sources, we would like to increase publicity towards other publicly available data sources:

Marinedataexchange.co.uk: Open-access exchange including raw, cleaned and modelled wind data from various meteorological masts, LIDAR systems and meteorological buoys around the UK.

Winddata.com: Publicly accessible data for onshore and offshore wind farms and meteorological stations, with affordable payment options available, and free access for Danish users. 

Globalwindatlas.info: Free web-based wind data available worldwide, using re-analysis data and mesoscale modelling with great potential for identifying new areas for wind farm development.

Edp.com: Open-access wind farm data for one site in Portugal, including failure log.

Wind technology

Innovative design of wind power components such as aerodynamic smart blades and sensors continues to be critical to achieving renewable energy goals