Resource assessment: measurements

When: Wednesday, 6 April 2022, 11:30 - 13:00
Where: Luxua 2 - Level 3

Session description

Despite the tremendous success and deployment of wind energy in many different areas of the world, the "fuel" wind is not yet fully understood and predictable. Very large clusters of offshore wind energy systems, or even the use of wind energy in complex terrain, intensify the need to understand our fuel as fully as possible in order to optimally tailor the design and operation of wind turbines, wind farms, and wind farm clusters. The presentations in this session will show innovative applications of remote sensing measurement techniques that will lead to a much better understanding of wind as a resource, as well as elaborated methods for automatic assessment of large amounts of data collected by the aforementioned technologies.

Session chair

Stephan Barth

Managing Director, ForWind - Center for Wind Energy Research

Maite Basurto Rivas

Head of CTO Support & Reporting, Siemens Gamesa Renewable Energy

Presentations

Offshore Wind Resource Assessment using long-range scanning lidars in dual doppler (DD) mode – A case study

Jens Riechert

Senior Consultant - Metocean & Measurements, OWC (Aqualis) GmbH

Dual lidar: how you can revolutionise the offshore wind resource assessment.

Dominic Champneys

Wind energy application research engineer, Leosphere (a Vaisala company)

Practical experience with multi-lidar measurements for resource assessment

Kira Gramitzky

research associate, University of Kassel

Nacelle lidar in complex terrain – what’s the added value?

Julia Gottschall

Chief Scientist, Fraunhofer Institute for Wind Energy Systems (IWES)

Increasing acceptance of remote sensing device in complex flow conditions

Christiane Montavon

Principal engineer, DNV

Machine learning based met data anomaly labelling

Ana Talayero Navales

Head of Analysis & Optimization of Renewable Energy Group sub division Wind Energy, CIRCE