Sessions
Modelling
When: Thursday, 23 June 2022, 9:00 - 10:30
Where: Auditorium
Session description
The more accurate the assessment of the wind resource is when planning a wind farm, the more accurate the estimation of Annual Energy Production will be, and hence the stronger the business case and the lower the financing costs. Proper wind resource assessment is therefore a cornerstone of every wind project, especially as the environment for wind projects becomes increasingly merchant. This session will focus on reducing uncertainty when estimating how much wind there is at a given site, through better models and validation tools. It is designed for wind energy professionals who conduct or commission wind resource assessment campaigns, researchers working on wind dynamics and modelling, data scientists and analysts, as well as anyone interested in staying up-to-date on new technology and research developments in this fast-moving and increasingly digital field.
Session chair
Jake Badger
Section Head, Senior Scientist, DTU Wind Energy
Presentations
A computationally-efficient algorithm for the prediction of wind farm performance based on SAR image processing
Tatiana Suarez
Flightform Insights
A novel tool for climate change risk analysis: using the 2021 UK summer low wind anomalies to build 'storylines' of future wind regimes in the midlatitudes
Gil Lizcano
Climate Scale
Long-term prediction using operational data: wind index vs. production index methodology
Gordon Smith
DNV