Title: A case study of wind farm effects using two wake parameterizations in WRF (V3.7) in the presence of low level jets

Type Dataset Larsén, Xiaoli Guo, Fischereit, Jana (2020): A case study of wind farm effects using two wake parameterizations in WRF (V3.7) in the presence of low level jets. Zenodo. Dataset. https://zenodo.org/record/4322866

Authors: Larsén, Xiaoli Guo (Wind Energy Department, Technical University of Denmark) ; Fischereit, Jana (Wind Energy Department, Technical University of Denmark) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

# Documentation of LLJ WFP archive This archive documents the steps to reproduce the simulations in Larsén and Fischereit (2021).

## WPS steps * The WPS-namelist is included as `namelist.wps` * The geogrid files for the WRF simulations are located in `geogrid/` * Tables for running metgrid, ungrib and REAL are located in `tables/` * The required ERA5 data can be downloaded using `get_era5_check_first.py` and the modified Vtable for ERA5 data is included in `tables/`

## WRF simulations Namelists and turbine-files to reproduce the simulations with EWP (`EWP_simulation/`), Fitch (`Fitch_simulation/`) and No wind farm simulation (`NWF_simulation/`) are included in the respective sub-directories.

## Mapping EWP and Fitch turbine files

| Fitch turbine       | EWP turbine   | | -------------       | ------------- | | wind-turbine-1.tbl  | SWT-4.0-130   | | wind-turbine-2.tbl  | SWT-3.6-120   | | wind-turbine-3.tbl  | V80-2.0       | | wind-turbine-4.tbl  | SWT-2.3-93    | | wind-turbine-6.tbl  | M5000-116     | | wind-turbine-7.tbl  | SWT-6.0-154   | | wind-turbine-8.tbl  | SWT-4.0-120   | | wind-turbine-9.tbl  | 6.2M126_84    | | wind-turbine-10.tbl | 6.2M126_95    | | wind-turbine-16.tbl | 6.2M126_90    |

The locations of the turbines are included in `EWP_simulation/all_farms_corr_2017_new_LLJ.real` and `Fitch_simulation/windturbines.txt`, respectively. The turbine files are downloaded from https://www.wasp.dk/dataandtools#power-curves

## Fitch simulation with TKE advection bugfix In addition to a simulation with TKE advection off (`Fitch_simulation/namelist.input.Fitch`), two additional simulations have been conducted with TKE advection on and including the bugfix for the bug reported in Archer et al. (2020) (`Fitch_simulation/namelist.input.Fitch_adv_on_ctke_1` and `Fitch_simulation/namelist.input.Fitch_adv_on_ctke_025`). They differ in the used value for CTKE, which is a new wrf-namelist variable introduced by Archer et al. (2020). To conduct the simulations, the WRF v3.7 source code was modified according to https://github.com/wrf-model/WRF/pull/1235 for those two simulations.

## References Archer, C. L., Wu, S., and Ma, Y.: Two corrections for turbulent kinetic energy generated by wind farms in the WRF model, Monthly WeatherReview, DOI 10.1175/MWR-D-20-0097.1, 2020.

Larsén and Fischereit: A case study of wind farm effects using two wake parameterizations in WRF (V3.7) in the presence of low level jets., submitted to GMD, 2021

## PostProcessing of WRF outputs In the folder post_processing are: a mathematica script and two sub-folders [Toshare_MATLAB_scripts] and [Toshare_MATLAB_data]. Once the WRF simulations are done, using this mathematica script, one can extract data needed for relevant analysis and for making the figures in the paper. The script shows what data are extracted, how they are extracted and saved.

Data that are prepared from the mathematica script are stored in the folder [Toshare_MATLAB_data]. The folder [Toshare_MATLAB_scripts] includes a number of matlab scripts which use the data from [Toshare_MATLAB_data] and plots figues.

More information

• DOI: 10.5281/zenodo.4322866

Subjects

• WRF, wind farm wake, turbines, EWP, Fitch

Dates

• Publication date: 2020
• Issued: December 15, 2020

Notes

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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