ThreePhaseMethod

frads.ThreePhaseMethod

ThreePhaseMethod(config)

Bases: PhaseMethod

Three phase method implementation.

Attributes:

Name	Type	Description
`config`		A WorkflowConfig object
`octree`		A path to the octree file
`window_senders`	`Dict[str, SurfaceSender]`	A dictionary of window sender matrices
`window_receivers`		A dictionary of window receiver matrices
`window_bsdfs`		A dictionary of window BSDF matrices
`daylight_matrices`		A dictionary of daylight matrices
`view_window_matrices`		A dictionary of view window matrices
`sensor_window_matrices`		A dictionary of sensor window matrices

calculate_edgps(view, bsdf, time, dni, dhi, ambient_bounce=0, save_hdr=None)

Calculate enhanced simplified daylight glare probability (EDGPs) for a view.

Parameters:

Name	Type	Description	Default
`view`	`str`	view name, must be in config.model.views	required
`bsdf`	`Dict[str, str]`	a dictionary of window name as key and bsdf matrix or matrix name as value	required
`time`	`datetime`	datetime object	required
`dni`	`float`	direct normal irradiance	required
`dhi`	`float`	diffuse horizontal irradiance	required
`ambient_bounce`	`int`	ambient bounce, default to 1. Could be set to zero for macroscopic non-scattering systems.	`0`

Returns: EDGPs

calculate_sensor(sensor, bsdf, time, dni, dhi)

Calculate illuminance for a sensor.

Parameters:

Name	Type	Description	Default
`sensor`	`str`	The sensor name	required
`bsdf`	`Dict[str, str]`	A dictionary of window name as key and bsdf matrix or matrix name as value	required
`time`	`datetime`	The datetime object	required
`dni`	`float`	The direct normal irradiance	required
`dhi`	`float`	The diffuse horizontal irradiance	required

Returns: A float value of illuminance

calculate_sensor_from_wea(sensor)

Calculates the sensor values from wea data.

Parameters:

Name	Type	Description	Default
`sensor`	`str`	The specific sensor for which the calculation is to be performed.	required

Returns:

Type	Description
`ndarray`	numpy.ndarray: A matrix containing the calculated sensor values based on the Weather Attribute data, sensor configuration, and various matrices related to windows, daylight, and sky.

Raises:

Type	Description
`ValueError`	If no wea data is available.

Examples:

sensor_values = sensor_config.calculate_sensor_from_wea("sensor_name")

calculate_view(view, bsdf, time, dni, dhi)

Calculate (render) a view.

Parameters:

Name	Type	Description	Default
`view`	`str`	The view name	required
`bsdf`	`ndarray`	The BSDF matrix	required
`time`	`datetime`	The datetime object	required
`dni`	`float`	The direct normal irradiance	required
`dhi`	`float`	The diffuse horizontal irradiance	required

Returns: A image as numpy array

calculate_view_from_wea(view)

Calculate(render) view from wea data.

Parameters:

Name	Type	Description	Default
`view`	`str`	The view name	required

Returns: A series of HDR images as a numpy array

generate_matrices(view_matrices=True)

Generate all required matrices

Parameters:

Name	Type	Description	Default
`view_matrices`	`bool`	Toggle to generate view matrices. Toggle it off can be useful for not needing the view matrices but still need the view data for things like edgps calculation.	`True`

load_matrices()

Load matrices from a .npz file in the Matrices directory.

save_matrices()

Saves the view window matrices, sensor window matrices, and daylight matrices to a NumPy .npz file.

The matrices are saved with keys formed by concatenating the corresponding view, sensor, or window name with '_window_matrix' or '_daylight_matrix'.