DS-006
Data StoriesHow 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.
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.
When?
April 12, 2024, 10:00 AM - 12:00 PM
Where?
Fraunhofer IWES
“Nordsee”
Am Fallturm 1
28359 Bremen
and
Online via Zoom
Registration closed
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.
Cooperating in U Bremen Research Alliance:
