Пример #1
0
## First row
yaw_angles[:, :, 0] = 30.0
yaw_angles[:, :, 1] = -30.0
yaw_angles[:, :, 2] = 30.0

## Second row
yaw_angles[:, :, 3] = -30.0
yaw_angles[:, :, 4] = 30.0
yaw_angles[:, :, 5] = -30.0

horizontal_plane = fi.calculate_horizontal_plane(yaw_angles=yaw_angles,
                                                 height=90.0)
visualize_cut_plane(horizontal_plane,
                    ax=axarr[4],
                    title="Yawesome art",
                    cmap="PuOr",
                    minSpeed=MIN_WS,
                    maxSpeed=MAX_WS)
# plot_turbines_with_fi(axarr[8], fi)

# Plot the cross-plane of the 3x3 configuration
cross_plane = fi.calculate_cross_plane(yaw_angles=yaw_angles,
                                       downstream_dist=610.0)
visualize_cut_plane(cross_plane,
                    ax=axarr[5],
                    title="Cross section at 610 m",
                    minSpeed=MIN_WS,
                    maxSpeed=MAX_WS)
axarr[5].invert_xaxis()

plt.show()
# Also, pass the heterogeneous map into the FlorisInterface.
fi_2d = FlorisInterface("inputs/gch.yaml", het_map=het_map_2d)

# Set shear to 0.0 to highlight the heterogeneous inflow
fi_2d.reinitialize(wind_shear=0.0)

# Using the FlorisInterface functions for generating plots, run FLORIS
# and extract 2D planes of data.
horizontal_plane_2d = fi_2d.calculate_horizontal_plane(x_resolution=200,
                                                       y_resolution=100,
                                                       height=90.0)
y_plane_2d = fi_2d.calculate_y_plane(x_resolution=200,
                                     z_resolution=100,
                                     crossstream_dist=0.0)
cross_plane_2d = fi_2d.calculate_cross_plane(y_resolution=100,
                                             z_resolution=100,
                                             downstream_dist=500.0)

# Create the plots
fig, ax_list = plt.subplots(3, 1, figsize=(10, 8))
ax_list = ax_list.flatten()
visualize_cut_plane(horizontal_plane_2d,
                    ax=ax_list[0],
                    title="Horizontal",
                    color_bar=True)
ax_list[0].set_xlabel('x')
ax_list[0].set_ylabel('y')
visualize_cut_plane(y_plane_2d,
                    ax=ax_list[1],
                    title="Streamwise profile",
                    color_bar=True)
"""
This example uses an input file where multiple turbine types are defined.
The first two turbines are the NREL 5MW, and the third turbine is the IEA 10MW.
"""

# Initialize FLORIS with the given input file via FlorisInterface.
# For basic usage, FlorisInterface provides a simplified and expressive
# entry point to the simulation routines.
fi = FlorisInterface("inputs/gch_multiple_turbine_types.yaml")

# Using the FlorisInterface functions for generating plots, run FLORIS
# and extract 2D planes of data.
horizontal_plane = fi.calculate_horizontal_plane(x_resolution=200,
                                                 y_resolution=100,
                                                 height=90)
y_plane = fi.calculate_y_plane(x_resolution=200,
                               z_resolution=100,
                               crossstream_dist=0.0)
cross_plane = fi.calculate_cross_plane(y_resolution=100,
                                       z_resolution=100,
                                       downstream_dist=500.0)

# Create the plots
fig, ax_list = plt.subplots(3, 1, figsize=(10, 8))
ax_list = ax_list.flatten()
visualize_cut_plane(horizontal_plane, ax=ax_list[0], title="Horizontal")
visualize_cut_plane(y_plane, ax=ax_list[1], title="Streamwise profile")
visualize_cut_plane(cross_plane, ax=ax_list[2], title="Spanwise profile")

plt.show()