AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations
ABSTRACT We present AMR‐Wind, a verified and validated high‐fidelity computational‐fluid‐dynamics code for wind farm flows. AMR‐Wind is a block‐structured, adaptive‐mesh, incompressible‐flow solver that enables predictive simulations of the atmospheric boundary layer and wind plants. It is a highly...
Saved in:
| Main Authors: | Michael B. Kuhn, Marc T. Henry de Frahan, Prakash Mohan, Georgios Deskos, Matt Churchfield, Lawrence Cheung, Ashesh Sharma, Ann Almgren, Shreyas Ananthan, Michael J. Brazell, Luis A. Martínez‐Tossas, Regis Thedin, Jon Rood, Philip Sakievich, Ganesh Vijayakumar, Weiqun Zhang, Michael Sprague |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-05-01
|
| Series: | Wind Energy |
| Online Access: | https://doi.org/10.1002/we.70010 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of a Low-dissipation HLLD Approximate Riemann Solver to Solar Wind Simulations
by: Caixia Li, et al.
Published: (2025-01-01) -
Adaptive Multitask Neural Network for High-Fidelity Wake Flow Modeling of Wind Farms
by: Dichang Zhang, et al.
Published: (2025-05-01) -
Investigating the relationship between simulation parameters and flow variables in simulating atmospheric gravity waves for wind energy applications
by: M. A. Khan, et al.
Published: (2025-07-01) -
Load assessment of a wind farm considering negative and positive yaw misalignment for wake steering
by: R. Thedin, et al.
Published: (2025-06-01) -
High-Fidelity Aeroelastic Analysis of a Wind Turbine Using a Nonlinear Frequency-Domain Solution Method
by: Shine Win Naung, et al.
Published: (2025-02-01)