Request for new wind toolkit dataset option

I'm tryomg to model wind using 2023 resource data. I was able to pull this using tools.FetchResourceFiles by changing line 577 (data_query_url)  in ResourceTools.py function _windtk_worker from:

 to

Could something like this be added as an option to PySAM? An if statement where if the resource year requested is after 2014, it be pulled from the new wind toolkit or something? The other caveat is I had to rename the columns in the second row of the csv file to match the other dataset or PySAM didn't know how to handle the slightly different names.

"
# overwrites wind weather data file with new column names
def rename_wind_cols(wtk_fp):
    ht = wind_ht
    print(wtk_fp)
    df = pd.read_csv(wtk_fp, header=1, encoding='unicode_escape')
    print(df)
    if df.columns[8] == 'Surface Air Pressure (Pa)':
        df.rename(columns={ df.columns[5]: "wind speed at "+str(ht)+"m (m/s)",
                        df.columns[6]: "wind direction at "+str(ht)+"m (deg)",
                        df.columns[7]: "air tempurature at "+str(ht)+"m (C)",
                        df.columns[8]: "air pressure at 0m (Pa)"},
                        inplace = True)
        col_names = df.columns.copy()
        #df.set_axis(list(range(0,9)), axis=1, inplace=True)
        df.columns = list(range(0,9))
        # --- grab header data ---
        #for_header = copy.deepcopy(raw_csv)
        header = pd.read_csv(wtk_fp, nrows=2, header=None, encoding='unicode_escape') #.values
        header.iloc[1, :] = list(col_names) + [None]
        # write out combined
        out = pd.concat([header, df]) #, axis='rows'
        out.reset_index(drop=True, inplace=True)
        out.to_csv(wtk_fp, index=False, header=False)
"

The new wind toolkit dataset: "NREL processed NOAA's HRRR data to overcome limitations for wind energy use, such as missing timesteps, low resolution, and bias versus the WIND Toolkit. The resulting BC-HRRR dataset (2015-2023) ensures consistency through bias correction, enabling seamless use in grid integration studies alongside the WIND Toolkit and future scalability."

Hi Nina,

Thank you for sharing these modifications to the PySAM Resource Tools Helper Functions  to work with the latest WIND Toolkit APIs  and for your request to update the wind resource file download tools. The source code is on GitHub if you would like to make a code contribution for these modifications: github.com/NREL/pysam/blob/main/files/ResourceTools.py .

One note about files from the BCHRRR V1.0.0 dataset is that those files contain atmospheric pressure data at the surface (height = 0 m), but SAM's Wind Power (PySAM Windpower module) model requires pressure data for at least one height above the ground.

Best regards,
Paul.