Resource Assessment Symposium

When: Wednesday, 9 April 2025, 14:00 - 17:15
Where: Auditorium 15
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Part 1 - LiDARs

Julia Gottschall

Chief Scientist, Fraunhofer IWES

Mike Anderson

Member, ETIP Wind Steering Committee

Presentations

Enhancing Wind Lidar Data Availability: Validation and Application of the Quality Score Method for Further Improving Wind Resource Assessments

Seyi Latunde-Dada

Senior Algorithm Scientist, ZX Lidars

Hidden uncertainties in floating lidar data

Scott Eichelberger

Chief Scientist, TGS

Offshore wakes measured by an adaptive dual-Doppler scanning lidar system

Tabea Hildebrand

Research associate, Fraunhofer Institute for Energy Economics and Energy System Technology (IEE)

A comparison between scanning LiDAR and scada-based hyperparameter tuning of analytical wake models

Pieter-Jan Daems

Research Assistant, Vrije Universiteit Brussel

Benchmarking pulsed lidar turbulence intensity measurement methods

Andrew Black

Research & Applications Engineer, Vaisala

Part 2 - Models

Pep Moreno

CEO, Vortex

Stephan Barth

Managing Director, ForWind - Center for Wind Energy Research

Presentations

The dawn of super resolution: generating high-resolution wind resource maps from coarser maps using deep learning.

Mike Optis

President, Veer Renewables

Multi-year, time series-based validation of a real weather, meso-scale coupled large eddy simulation (LES) of wind farm power production for 8 operational wind farms.

Pim van Dorp

R&D Director, Whiffle

Benchmarking Model Data for Wind Resource Assessment: A Comparative Study Across 150 Sites.

Sam Williams

Senior Scientist, RWE

Advancing wind energy yield assessment accuracy via time-variant loss parameter approach

Helia Lari Lavasani

Junior Wind & Site Assessment, PAVANA GmbH

Part 3 - Special topics

Lars Landberg

Vice President, Group Leader, Renewables, Group Research and Development, DNV

Miriam Marchante Jiménez

Chief Specialist, Asset Value Engineering, Ørsted

Presentations

Market-driven wind resource assessment

Andreas Bechmann

Senior Scientist, DTU

Physics-Informed Neural Networks for Simulating Turbulent Wakes in Windfarms

Abhineet Gupta

Researcher, Shell India Market Pvt. Ltd.

Capturing the impacts of climate change in wind energy yield assessments

Annika Wybrow

Principal Engineer - Energy Analytics, DNV

EDiGaPS: A novel machine learning-based approach to model the influence of turbulence intensity on wind turbine power curves

Nathianne Andrade

Head of Performance Engineering, Delfos Energy