S Stipa, A Ajay, D Allaerts… - Wind Energy Science …, 2023 - wes.copernicus.org
The growing number and size of wind energy projects coupled with the rapid growth in high- performance computing technology are driving researchers toward conducting large-scale …
AFFILIATIONS: a Argonne National Laboratory, Lemont, Illinois; b National Renewable Energy Laboratory, Golden, Colorado; c US National Science Foundation, National Center …
A Lattanzi, A Almgren, E Quon, M Natarajan… - arXiv preprint arXiv …, 2024 - arxiv.org
High performance computing (HPC) architectures have undergone rapid development in recent years. As a result, established software suites face an ever increasing challenge to …
E Quon - Wind Energy Science, 2024 - wes.copernicus.org
High-fidelity flow modeling with data assimilation enables accurate representation of the wind farm operating environment under realistic, nonstationary atmospheric conditions …
S Stipa, A Ajay, J Brinkerhoff - Wind Energy Science, 2024 - wes.copernicus.org
This study introduces the actuator farm model (AFM), a novel parameterization for simulating wind turbines within large eddy simulations (LESs) of wind farms. Unlike conventional …
Providing observed date-and site-specific turbulent inflow fields for Large-eddy simulations (LES) of the flow through wind turbines becomes more and more important for realistic …
JH Kasper, A Stieren, RJA Stevens - Journal of Renewable and …, 2024 - pubs.aip.org
The performance of wind farms strongly depends on the prevailing atmospheric conditions. We investigated how baroclinicity, caused by horizontal temperature gradients in the …
We investigated the predictive capability of various configurations of the Weather Research and Forecasting (WRF) model version 4.4, to predict hub height offshore wind speed and …
To validate the second-by-second dynamics of turbines in field experiments, it is necessary to accurately reconstruct the winds going into the turbine. Current time-resolved inflow …