Geospatial Templates (HPC)

Geospatial Templates (HPC)#

import pvdeg
from pvdeg import TEST_DATA_DIR
import pandas as pd
import os
import xarray as xr

Geospatial Templates#

When running a geospatial analysis using pvdeg.geospatial.analysis on arbitary pvdeg functions you will need to specify a template for the shape of the output data. This is because the input data comes with dimensions of gid and time while the output will have data in a different shape usually corresonding to coordinates.

  • gid, identification number corresponding to an NSRDB datapoint’s location

  • time, timeseries corresponding to the hourly time indicies of NSRDB datapoint’s yearly meteorological data.

Follow the steps below to see how we generate templates before running the analysis.

The only functions where this is not required are currently pvdeg.standards.standoff, pvdeg.humidity.moduke and, letid.calc_letid_outdoors as they are predefined within the package.

Loading Geospatial Data#

This step skips over making the pvdeg.weather.get call with geospatial == True. See the Duramat Demo for information on how to do this traditionally.

We can also use a GeospatialScenario object. See the Geospatial Scenario Tutorial for more information on how to use this approach.

The cell below loads a pickled xarray object, this is not the best way to do this. xarray datasets should be stored as .nc - netcdf files

geo_meta = pd.read_csv(os.path.join(TEST_DATA_DIR, "summit-meta.csv"), index_col=0)

# Use xarray to open NetCDF file instead of pickle
geo_weather = xr.open_dataset(os.path.join(TEST_DATA_DIR, "summit-weather.nc"))

geo_weather

<xarray.Dataset> Size: 9MB
Dimensions:            (time: 17520, gid: 11)
Coordinates:
  * gid                (gid) int64 88B 449211 452064 453020 ... 460613 462498
  * time               (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T...
Data variables:
    temp_air           (time, gid) float64 2MB ...
    wind_speed         (time, gid) float64 2MB ...
    dhi                (time, gid) float64 2MB ...
    ghi                (time, gid) float64 2MB ...
    dni                (time, gid) float64 2MB ...
    relative_humidity  (time, gid) float64 2MB ...

Creating Templates Manually#

pvdeg.geospatial.ouput_template we can produce a template for our result data.

We need to do this because different functions return different types of values, some return multiple values as tuples, some return only single numerics, others return timeseries results. We need to specify the shape of our data to create an output xarray dataset.

Examples#

98ᵗʰ module percential temperature at Standoff Height#

Say we want to estimate the 98ᵗʰ percential temperature for the module at the given tilt, azimuth, and x_eff. PVDeg has a function to do this, pvdeg.standards.T98_estimate BUT it doesn’t have a preset geospatial template. We will need to make one.

  • look at the function return values. From the docstring we can see that T98_estimate only has one return value. IMPORTANT, this value is a single float, NOT a timeseries. This means our output shape will only be dependent on the input identifier and NOT time.

Therefore we will map the output variable T98 to the location identifier gid using a dictionary with str: tuple mappings.

IMPORTANT: you must use the syntax below where the variable maps to a tuple of the coordinates. in this case there needs to be a trailing comma in the tuple or python will iterate over the characters in the tuple instead of the elements. See further examples to alleviate confusion.

# define output shape
shapes = {
    "T98": (
        "gid",
    )  # one return value at each datapoint, only dependent on datapoint, not time
}

# create xarray template for output to be populated when analysis is run
template = pvdeg.geospatial.output_template(
    ds_gids=geo_weather,
    shapes=shapes,
)

geo_estimate_temp = pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.standards.T98_estimate,
    template=template,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

Glass Glass Estimated Module Temperature#

Now we want to calculate geospatial timeseries temperature values for a module using pvdeg.temperature.module. This is not super practical because all pvdeg functions that need to use tempeature for their calculations preform the temperature calculation internally, this is just for show.

This calculation differs from the above because the temperature functions return the module temperature in a timeseries format. So we care about 2 dimensions, location identifier and TIME.

# define output shape
shapes = {
    "module_temperature": (
        "gid",
        "time",
    )  # one return value at each datapoint, only dependent on datapoint, not time
}

# create xarray template for output to be populated when analysis is run
temperature_template = pvdeg.geospatial.output_template(
    ds_gids=geo_weather,
    shapes=shapes,
)

geo_temperature_res = pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.temperature.module,
    template=temperature_template,  # use the template we created
    conf="open_rack_glass_glass",  # provide kwargs for function here
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

# plot the temperature at ONE of the geospatial analysis result locations but we have calculated all of these.
import matplotlib.pyplot as plt

module_temps = (
    geo_temperature_res["module"].sel(latitude=39.89, longitude="-106.42").values
)

plt.plot(module_temps)

[<matplotlib.lines.Line2D at 0x26821bfa000>]
../_images/1d70c3db79e088466bb63b5dec1d34b217ae2a597bf96d993a8b60531bfca56d.png

Self Explaining Code#

If we are looking at adding templates for other functions, we can also look at the 3 presaved templates for existing pvdeg functions. Visit pvdeg.geospatial.template_parameters and inspect this function to see how these different target functions utilize templates and shapes.

Creating Templates Programatically#

We can use pvdeg.geospatial.autotemplate to generate a template for a given function. This can return a bad result which will fail or work improperly when running pvdeg.geospatial.analysis with the generated template. Results should be scrutinized to make sure they are the right format.

Examples Below#

Steps

  • Create template using autotemplating function. Pulls in information about function to determine shape of output. Not usable on functions with ambigious return types.

  • Call geospatial analysis function using template

Geospatial Cell Temperature Calculation#

As shown below, we have two options, we can choose to provide a template that is generated by a function which supports autotemplating. Or we can provide the function to geospatial.analysis and let it generate a template internally.

Providing a Template with Geospatial.auto_template#

# create a template using auto_template for the desired function
cell_temp_template = pvdeg.geospatial.auto_template(
    func=pvdeg.temperature.cell, ds_gids=geo_weather
)

# run the geospatial analysis with the template
pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.temperature.cell,
    template=cell_temp_template,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

<xarray.Dataset> Size: 11MB
Dimensions:    (latitude: 8, longitude: 10, time: 17520)
Coordinates:
  * latitude   (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89
  * longitude  (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9
  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00
Data variables:
    cell       (time, latitude, longitude) float64 11MB nan nan nan ... nan nan

Analysis Without Providing a Template#

If a function is supported by geospatial.auto_template we do not need to create a template outside of the function as shown in the cell above. We can simply pass the function to geospatial.analysis and it will create a template for us.

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.temperature.cell,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

<xarray.Dataset> Size: 11MB
Dimensions:    (latitude: 8, longitude: 10, time: 17520)
Coordinates:
  * latitude   (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89
  * longitude  (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9
  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00
Data variables:
    cell       (time, latitude, longitude) float64 11MB nan nan nan ... nan nan

Geospatial Module Temperature Calculation#

module_temp_template = pvdeg.geospatial.auto_template(
    func=pvdeg.temperature.module, ds_gids=geo_weather
)

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.temperature.module,
    template=module_temp_template,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

<xarray.Dataset> Size: 11MB
Dimensions:    (latitude: 8, longitude: 10, time: 17520)
Coordinates:
  * latitude   (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89
  * longitude  (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9
  * time       (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31T23:30:00
Data variables:
    module     (time, latitude, longitude) float64 11MB nan nan nan ... nan nan

Geospatial Solar Position Calculation#

solar_position_template = pvdeg.geospatial.auto_template(
    func=pvdeg.spectral.solar_position, ds_gids=geo_weather
)

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.spectral.solar_position,
    template=solar_position_template,
)

<xarray.Dataset> Size: 67MB
Dimensions:             (latitude: 8, longitude: 10, time: 17520)
Coordinates:
  * latitude            (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89
  * longitude           (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9
  * time                (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...
Data variables:
    apparent_zenith     (time, latitude, longitude) float64 11MB nan nan ... nan
    zenith              (time, latitude, longitude) float64 11MB nan nan ... nan
    apparent_elevation  (time, latitude, longitude) float64 11MB nan nan ... nan
    elevation           (time, latitude, longitude) float64 11MB nan nan ... nan
    azimuth             (time, latitude, longitude) float64 11MB nan nan ... nan
    equation_of_time    (time, latitude, longitude) float64 11MB nan nan ... nan

Geospatial POA Irradiance Calculation#

poa_irradiance_template = pvdeg.geospatial.auto_template(
    func=pvdeg.spectral.poa_irradiance, ds_gids=geo_weather
)

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.spectral.poa_irradiance,
    template=poa_irradiance_template,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

<xarray.Dataset> Size: 56MB
Dimensions:             (latitude: 8, longitude: 10, time: 17520)
Coordinates:
  * latitude            (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89
  * longitude           (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9
  * time                (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...
Data variables:
    poa_global          (time, latitude, longitude) float64 11MB nan nan ... nan
    poa_direct          (time, latitude, longitude) float64 11MB nan nan ... nan
    poa_diffuse         (time, latitude, longitude) float64 11MB nan nan ... nan
    poa_sky_diffuse     (time, latitude, longitude) float64 11MB nan nan ... nan
    poa_ground_diffuse  (time, latitude, longitude) float64 11MB nan nan ... nan

Geospatial 98th Percentile Operating Temperature Calculation#

standoff_template = pvdeg.geospatial.auto_template(
    func=pvdeg.standards.T98_estimate, ds_gids=geo_weather
)

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.standards.T98_estimate,
    template=standoff_template,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

<xarray.Dataset> Size: 784B
Dimensions:       (latitude: 8, longitude: 10)
Coordinates:
  * latitude      (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89
  * longitude     (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9
Data variables:
    T98_estimate  (latitude, longitude) float64 640B nan nan nan ... nan nan nan

Geospatial Module Humidity Calculation#

humidity_template = pvdeg.geospatial.auto_template(
    func=pvdeg.humidity.module, ds_gids=geo_weather
)

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.humidity.module,
    template=humidity_template,
    backsheet_thickness=0.3,
    back_encap_thickness=0.5,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.

<xarray.Dataset> Size: 56MB
Dimensions:             (latitude: 8, longitude: 10, time: 17520)
Coordinates:
  * latitude            (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89
  * longitude           (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9
  * time                (time) datetime64[ns] 140kB 2022-01-01 ... 2022-12-31...
Data variables:
    RH_surface_outside  (time, latitude, longitude) float64 11MB nan nan ... nan
    RH_front_encap      (time, latitude, longitude) float64 11MB nan nan ... nan
    RH_back_encap       (time, latitude, longitude) float64 11MB nan nan ... nan
    Ce_back_encap       (time, latitude, longitude) float64 11MB nan nan ... nan
    RH_backsheet        (time, latitude, longitude) float64 11MB nan nan ... nan

Geospatial IwaVantHoff Environment Characterization Calculation#

iwa_vant_hoff_template = pvdeg.geospatial.auto_template(
    func=pvdeg.degradation.IwaVantHoff, ds_gids=geo_weather
)

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.degradation.IwaVantHoff,
    template=iwa_vant_hoff_template,
)

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.9 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.7 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.8 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.4 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

The array surface_tilt angle was not provided, therefore the latitude of  39.5 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.
The array surface_tilt angle was not provided, therefore the latitude of  39.6 was used.
The array azimuth was not provided, therefore an azimuth of  180.0 was used.

<xarray.Dataset> Size: 784B
Dimensions:      (latitude: 8, longitude: 10)
Coordinates:
  * latitude     (latitude) float64 64B 39.41 39.45 39.53 ... 39.69 39.81 39.89
  * longitude    (longitude) float64 80B -106.4 -106.3 -106.3 ... -105.9 -105.9
Data variables:
    IwaVantHoff  (latitude, longitude) float64 640B nan nan nan ... nan nan nan

Geospatial Edge Seal Width Calculation#

edge_seal_template = pvdeg.geospatial.auto_template(
    func=pvdeg.design.edge_seal_width, ds_gids=geo_weather
)

pvdeg.geospatial.analysis(
    weather_ds=geo_weather,
    meta_df=geo_meta,
    func=pvdeg.design.edge_seal_width,
    template=edge_seal_template,
)

<xarray.Dataset> Size: 784B
Dimensions:          (latitude: 8, longitude: 10)
Coordinates:
  * latitude         (latitude) float64 64B 39.41 39.45 39.53 ... 39.81 39.89
  * longitude        (longitude) float64 80B -106.4 -106.3 ... -105.9 -105.9
Data variables:
    edge_seal_width  (latitude, longitude) float64 640B nan nan nan ... nan nan
edge_seal_template

<xarray.Dataset> Size: 176B
Dimensions:  (gid: 11)
Coordinates:
  * gid      (gid) int64 88B 449211 452064 453020 ... 459670 460613 462498
Data variables:
    width    (gid) float64 88B dask.array<chunksize=(11,), meta=np.ndarray>
Contents