
Code-to-code-to-experiment validation of LES-ALM wind farm simulators
Author(s) -
C. Wang,
Arturo Muñoz-Simón,
Georgios Deskos,
Sylvain Laizet,
Rafael Palacios,
Filippo Campagnolo,
Carlo L. Bottasso
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1618/6/062041
Subject(s) - solver , code (set theory) , computer science , convergence (economics) , computational fluid dynamics , computational science , algorithm , programming language , aerospace engineering , engineering , set (abstract data type) , economics , economic growth
The aim of this work is to present a detailed code-to-code comparison of two Large-Eddy Simulation (LES) solvers. Corresponding experimental measurements are used as a reference to validate the quality of the CFD simulations. The comparison highlights the effects of solver order on the solutions, and it tries to answer the question of whether a high order solver is necessary to capture the main characteristics of a wind farm. Both solvers were used on different grids to study their convergence behavior. While both solvers show a good match with experimental measurements, it appears that the low order solver is more accurate and substantially cheaper in terms of computational cost.