DOAJ Open Access 2024

Refined Wind Simulation Based on Large Eddy Simulation and Mesoscale Numerical Weather Model

Minchao OU Di WU Min ZHANG

Abstrak

[Introduction] Combining mesoscale numerical model and large eddy simulation (LES) model, numerical sumulation of sub-kilometer-scale project unit placement is carried out, which takes into account atmospheric boundary layer changes. It provides offshore wind turbine projects with high-efficiency power generation placement schemes. [Method] This study converted the mesoscale numerical weather simulation results into boundary conditions for the input of the LES model and introduced model parameters reflecting the operation of an actual wind farm into the LES simulation. The numerical sumulation experiments of the ambient wind field in the wind farm region was carried out under the consideration of the change of the actual atmospheric boundary layer, and the results of the refined simulation scheme of this wind field were evaluated based on the observation data collected from the wind farm. [Result] The simulation results indicate that by converting the results of the mesoscale weather model into the dynamic drive which is read by the LES model and simulating the wind field where the wind farm is located based on the model, the simulation results are able to replicate the changes in the external wind field after passing through the wind farm and the wake generated within the wind turbine fleet, as well as its impact on the internal wind field of the wind farm. The root mean square error of wind speed simulation at the hub of wind turbines is 1.54 m/s. [Conclusion] The refined wind field simulation scheme, which takes into account the variation of mesoscale meteorological elements and the impact of wind farms on the ambient wind field, can provide guidance for the design phase of actual projects.

Penulis (3)

M

Minchao OU

D

Di WU

M

Min ZHANG

Format Sitasi

OU, M., WU, D., ZHANG, M. (2024). Refined Wind Simulation Based on Large Eddy Simulation and Mesoscale Numerical Weather Model. https://doi.org/10.16516/j.ceec.2024.1.10

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Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.16516/j.ceec.2024.1.10
Akses
Open Access ✓