Source code for foxes.models.turbine_types.CpCt_file
import numpy as np
import pandas as pd
from .PCt_file import PCtFile
from foxes.data import parse_Pct_file_name
from foxes.utils import PandasFileHelper
import foxes.constants as FC
[docs]
class CpCtFile(PCtFile):
"""
Calculate power and ct by interpolating
from cp-ct-curve data file (or pandas DataFrame).
:group: models.turbine_types
"""
[docs]
def __init__(
self,
data_source,
col_ws="ws",
col_cp="cp",
rho=1.225,
pd_file_read_pars={},
**parameters,
):
"""
Constructor.
Parameters
----------
data_source: str or pandas.DataFrame
The file path, static name, or data
col_ws: str
The wind speed column
col_cp: str
The cp column
rho: float
The air density for the curves
pd_file_read_pars: dict
Parameters for pandas file reading
paramerers: dict, optional
Additional parameters for PCtFile class
"""
if not isinstance(data_source, pd.DataFrame):
pars = parse_Pct_file_name(data_source)
pars.update(parameters)
data = PandasFileHelper.read_file(data_source, **pd_file_read_pars)
else:
data = data_source
pars = parameters
D = pars["D"]
A = np.pi * (D / 2) ** 2
ws = data[col_ws].to_numpy()
cp = data[col_cp].to_numpy()
P_unit = pars.pop("P_unit", FC.kW)
ws_delta = 0.0001
ws_min = np.min(ws)
ws_max = np.max(ws)
N = int((ws_max - ws_min) / ws_delta)
data_P = pd.DataFrame(index=range(N), dtype=FC.DTYPE)
data_P["ws"] = np.linspace(ws_min, ws_max, N, endpoint=True)
data_P["cp"] = np.interp(data_P["ws"], ws, cp, left=0, right=0)
data_P["P"] = (
0.5 * rho * A * data_P["cp"] * data_P["ws"] ** 3 / FC.P_UNITS[P_unit]
)
super().__init__(data_P, col_ws="ws", col_P="P", rho=rho, P_unit=P_unit, **pars)