Resource Assessment Symposium

When: Wednesday, 9 April 2025, 14:00 - 17:15
Where: Auditorium 15
Add to calendar

Part 1 - LiDARs

Julia Gottschall

Chief Scientist, Fraunhofer IWES

Mike Anderson

Member, ETIP Wind Steering Committee

Presentations

Benchmarking pulsed lidar turbulence intensity measurement methods

Andrew Black

Research & Applications Engineer, Vaisala

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 IEE/University of Kassel

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

Pieter-Jan Daems

Research Assistant, Vrije Universiteit Brussel

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

Expert 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

Capturing the impacts of climate change in wind energy yield assessments

Annika Wybrow

Principal Engineer - Energy Analytics, DNV

Physics-Informed Neural Networks for Simulating Turbulent Wakes in Windfarms

Abhineet Gupta

Researcher, Shell India Market Pvt. Ltd.

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