LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis

Jaime Liew*, Søren Juhl Andersen, Niels Troldborg, Tuhfe Göçmen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

91 Downloads (Pure)

Abstract

Wind farm simulation tools are used for a multitude of purposes, including energy yield calculations, wind farm control optimization, layout optimization, structural load analysis, and many more. However, the vast majority of farm software either fails to capture the dynamic nature of both the flow and the turbine structural response or demands a high computational cost such as large-eddy simulations (LES). In this study, we present a new mid-fidelity aeroelastic wind farm simulation software, HAWC2Farm, which can perform dynamic wind farm computations at the same temporal and spatial resolution as LES using a fraction of the computational resources. Wind farm simulations are performed with wake steering, and statistics are verified with results from LES performed using Ellipsys3D.
Original languageEnglish
Title of host publicationWind and Wind Farms; Measurement and Testing
Number of pages11
PublisherIOP Publishing
Publication date2022
Article number022069
DOIs
Publication statusPublished - 2022
EventThe Science of Making Torque from Wind 2022 - Delft, Netherlands
Duration: 1 Jun 20223 Jun 2022
Conference number: 9
https://www.torque2022.eu/

Conference

ConferenceThe Science of Making Torque from Wind 2022
Number9
Country/TerritoryNetherlands
CityDelft
Period01/06/202203/06/2022
Internet address
SeriesJournal of Physics: Conference Series
Number2
Volume2265
ISSN1742-6596

Fingerprint

Dive into the research topics of 'LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis'. Together they form a unique fingerprint.

Cite this