Updating input reference guide for multi-dimensional Cp/Ct data

examples/inputs/gch.yaml

@@ -134,6 +134,15 @@ flow_field:
   # The wind veer as a constant value for all points in the grid.
   wind_veer: 0.0
 
+  ###
+  # The conditions that are specified for use with the multi-dimensional Cp/Ct capbility.
+  # These conditions are external to FLORIS and specified by the user. They are used internally
+  # through a nearest-neighbor selection process to choose the correct Cp/Ct interpolants
+  # to use. These conditions are only used with the ``multidim_cp_ct`` velocity deficit model.
+  multidim_conditions:
+    Tp: 2.5
+    Hs: 3.01
+
 ###
 # Configure the wake model.
 wake:

floris/simulation/farm.py

@@ -248,7 +248,8 @@ def construct_turbine_correct_cp_ct_for_tilt(self):
         )
 
     def construct_turbine_map(self):
-        if 'multi_dimensional_cp_ct' in self.turbine_definitions[0].keys():
+        if 'multi_dimensional_cp_ct' in self.turbine_definitions[0].keys() \
+            and self.turbine_definitions[0]['multi_dimensional_cp_ct'] is True:
             self.turbine_map = [
                 TurbineMultiDimensional.from_dict(turb) for turb in self.turbine_definitions
             ]
@@ -291,7 +292,8 @@ def expand_farm_properties(
             sorted_coord_indices,
             axis=2
         )
-        if 'multi_dimensional_cp_ct' in self.turbine_definitions[0].keys():
+        if 'multi_dimensional_cp_ct' in self.turbine_definitions[0].keys() \
+            and self.turbine_definitions[0]['multi_dimensional_cp_ct'] is True:
             wd_dim = np.shape(template_shape)[0]
             ws_dim = np.shape(template_shape)[1]
             if wd_dim != 1 | ws_dim != 0:
@@ -398,7 +400,8 @@ def calculate_tilt_for_eff_velocities(self, rotor_effective_velocities):
         return tilt_angles
 
     def finalize(self, unsorted_indices):
-        if 'multi_dimensional_cp_ct' in self.turbine_definitions[0].keys():
+        if 'multi_dimensional_cp_ct' in self.turbine_definitions[0].keys() \
+            and self.turbine_definitions[0]['multi_dimensional_cp_ct'] is True:
             self.turbine_fCts = np.take_along_axis(
                 self.turbine_fCts_sorted,
                 unsorted_indices[:,:,:,0,0],

floris/simulation/turbine.py

@@ -627,6 +627,8 @@ class Turbine(BaseClass):
     power_thrust_table: PowerThrustTable = field(default=None)
     floating_tilt_table: TiltTable = field(default=None)
     floating_correct_cp_ct_for_tilt: bool = field(default=None)
+    power_thrust_data_file: str = field(default=None)
+    multi_dimensional_cp_ct: bool = field(default=False)
 
     # rloc: float = float_attrib()  # TODO: goes here or on the Grid?
     # use_points_on_perimeter: bool = bool_attrib()

floris/turbine_library/nrel_5MW.yaml

@@ -197,3 +197,16 @@ power_thrust_table:
     - 25.01
     - 25.02
     - 50.0
+
+###
+# A boolean flag used when the user wants FLORIS to use the user-supplied multi-dimensional
+# Cp/Ct information.
+multi_dimensional_cp_ct: False
+
+###
+# The path to the .csv file that contains the multi-dimensional Cp/Ct data. The format of this
+# file is such that any external conditions, such as wave height or wave period, that the
+# Cp/Ct data is dependent on come first, in column format. The last three columns of the .csv
+# file must be ``ws``, ``Cp``, and ``Ct``, in that order. An example of fictional data is given
+# in ``floris/turbine_library/iea_15MW_multi_dim_Tp_Hs.csv``.
+power_thrust_data_file: '../floris/turbine_library/iea_15MW_multi_dim_Tp_Hs.csv'