Towards a machine-learning-based large eddy simulation of offshore wind farms

This study introduces a Scale-Adaptive Machine-Learning Subgrid-Scale model developed to predict subgrid-scale turbulence within the framework of large eddy simulations for offshore wind farms. Unlike traditional subgrid-scale models that rely on blending of isotropy and scale similarity, the propos...

Full description

Bibliographic Details

Published in:	Computers & fluids Vol. 302; p. 106823
Main Authors:	Marefat, H. Ali, Alam, Jahrul, Pope, Kevin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.11.2025
Subjects:	Encoder–decoder models LES Machine learning Offshore wind farms Subgrid-scale model LES Encoder–decoder models Subgrid-scale model Machine learning Offshore wind farms
ISSN:	0045-7930
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!