Data Stories

How to plan a wind farm? About the use of extensive open and confidential datasets in wind energy resource assessment

The availability and utilization of (wind) data is key to the planning of wind farms, and in particular the large wind farm cluster projects offshore as, e.g., in the German Bight. The supposed paradox is here that open and free data sources are used in parallel with expensive and therefore often proprietary on-site measurements.

A comprehensive wind resource assessment needs to combine the two very different sets of data, which involves amongst other things the handling of different confidentiality levels, different data formats and models, and not least incomplete information. Information gaps are typically compensated with knowledge from individual data analysts; some of this is codified in industry best practices and standards (often requiring a certain level of interpretation) or implemented in commercial or open-source software tools.   

In our Data Story we introduce and discuss the challenges of (offshore) wind resource assessment studies and particularly focus on the use of data. Using illustrative examples we want to answer the question of the value of a (wind) dataset, be it obtained from measurements or model simulations, and also show how this value may change over time.



April 12, 2024, 10:00 AM - 12:00 PM


Fraunhofer IWES

Am Fallturm 1
28359 Bremen

Online via Zoom

Gottschall, Dr. Julia

Fraunhofer Institute for Wind Energy System (IWES)
Chief Scientist in the Section Wind Farm Development in Bremerhaven and Bremen

Email: Julia.gottschall@iwes.fraunhofer.de

Dörenkämper, Dr. Martin

Fraunhofer institute for Wind Energy Systems (IWES)
Researcher at the Department of Aerodynamics,CFD and Stochastic Dynamic in Oldenburg.

Email: martin.doerenkaemper@iwes.fraunhofer.de

Lecturers information