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Continuous version of the Perez transposition model implementation #1876

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1 change: 1 addition & 0 deletions docs/sphinx/source/reference/irradiance/transposition.rst
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@ Transposition models
irradiance.get_sky_diffuse
irradiance.isotropic
irradiance.perez
irradiance.perez_driesse
irradiance.haydavies
irradiance.klucher
irradiance.reindl
Expand Down
5 changes: 4 additions & 1 deletion docs/sphinx/source/whatsnew/v0.10.3.rst
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,8 @@ v0.10.3 (Anticipated December, 2023)

Enhancements
~~~~~~~~~~~~
* Added the continuous Perez-Driesse transposition model.
:py:func:`pvlib.irradiance.perez_driesse` (:issue:`1841`, :pull:`1876`)
* :py:func:`pvlib.bifacial.infinite_sheds.get_irradiance` and
:py:func:`pvlib.bifacial.infinite_sheds.get_irradiance_poa` now include
shaded fraction in returned variables. (:pull:`1871`)
Expand All @@ -28,4 +30,5 @@ Contributors
~~~~~~~~~~~~
* Arjan Keeman (:ghuser:`akeeman`)
* Miguel Sánchez de León Peque (:ghuser:`Peque`)
* Will Hobbs (:ghuser:`williamhobbs`)
* Will Hobbs (:ghuser:`williamhobbs`)
* Anton Driesse (:ghuser:`adriesse`)
270 changes: 257 additions & 13 deletions pvlib/irradiance.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,11 +7,14 @@
import datetime
from collections import OrderedDict
from functools import partial
import warnings

import numpy as np
import pandas as pd
from scipy.interpolate import splev

from pvlib import atmosphere, solarposition, tools
from pvlib.atmosphere import get_relative_airmass
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import pvlib # used to avoid dni name collision in complete_irradiance


Expand Down Expand Up @@ -323,6 +326,7 @@ def get_total_irradiance(surface_tilt, surface_azimuth,
* reindl
* king
* perez
* perez-driesse

Parameters
----------
Expand Down Expand Up @@ -351,7 +355,8 @@ def get_total_irradiance(surface_tilt, surface_azimuth,
the list of accepted values.
model : str, default 'isotropic'
Irradiance model. Can be one of ``'isotropic'``, ``'klucher'``,
``'haydavies'``, ``'reindl'``, ``'king'``, ``'perez'``.
``'haydavies'``, ``'reindl'``, ``'king'``, ``'perez'``,
``'perez-driesse'``.
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model_perez : str, default 'allsitescomposite1990'
Used only if ``model='perez'``. See :py:func:`~pvlib.irradiance.perez`.

Expand All @@ -363,13 +368,13 @@ def get_total_irradiance(surface_tilt, surface_azimuth,

Notes
-----
Models ``'haydavies'``, ``'reindl'``, or ``'perez'`` require
``'dni_extra'``. Values can be calculated using
Models ``'haydavies'``, ``'reindl'``, ``'perez'`` and ``'perez-driesse'``
require ``'dni_extra'``. Values can be calculated using
:py:func:`~pvlib.irradiance.get_extra_radiation`.

The ``'perez'`` model requires relative airmass (``airmass``) as input. If
``airmass`` is not provided, it is calculated using the defaults in
:py:func:`~pvlib.atmosphere.get_relative_airmass`.
The ``'perez'`` and ``'perez-driesse'`` models require relative airmass
(``airmass``) as input. If ``airmass`` is not provided, it is calculated
using the defaults in :py:func:`~pvlib.atmosphere.get_relative_airmass`.
"""

poa_sky_diffuse = get_sky_diffuse(
Expand Down Expand Up @@ -400,6 +405,7 @@ def get_sky_diffuse(surface_tilt, surface_azimuth,
* reindl
* king
* perez
* perez-driesse

Parameters
----------
Expand All @@ -423,7 +429,8 @@ def get_sky_diffuse(surface_tilt, surface_azimuth,
Relative airmass (not adjusted for pressure). [unitless]
model : str, default 'isotropic'
Irradiance model. Can be one of ``'isotropic'``, ``'klucher'``,
``'haydavies'``, ``'reindl'``, ``'king'``, ``'perez'``.
``'haydavies'``, ``'reindl'``, ``'king'``, ``'perez'``,
``'perez-driesse'``.
model_perez : str, default 'allsitescomposite1990'
Used only if ``model='perez'``. See :py:func:`~pvlib.irradiance.perez`.

Expand All @@ -440,18 +447,19 @@ def get_sky_diffuse(surface_tilt, surface_azimuth,

Notes
-----
Models ``'haydavies'``, ``'reindl'``, and ``'perez``` require 'dni_extra'.
Values can be calculated using
Models ``'haydavies'``, ``'reindl'``, ``'perez'`` and ``'perez-driesse'``
require ``'dni_extra'``. Values can be calculated using
:py:func:`~pvlib.irradiance.get_extra_radiation`.

The ``'perez'`` model requires relative airmass (``airmass``) as input. If
``airmass`` is not provided, it is calculated using the defaults in
:py:func:`~pvlib.atmosphere.get_relative_airmass`.
The ``'perez'`` and ``'perez-driesse'`` models require relative airmass
(``airmass``) as input. If ``airmass`` is not provided, it is calculated
using the defaults in :py:func:`~pvlib.atmosphere.get_relative_airmass`.
"""

model = model.lower()

if (model in {'haydavies', 'reindl', 'perez'}) and (dni_extra is None):
if dni_extra is None and model in {'haydavies', 'reindl',
'perez', 'perez-driesse'}:
raise ValueError(f'dni_extra is required for model {model}')

if model == 'isotropic':
Expand All @@ -473,6 +481,11 @@ def get_sky_diffuse(surface_tilt, surface_azimuth,
sky = perez(surface_tilt, surface_azimuth, dhi, dni, dni_extra,
solar_zenith, solar_azimuth, airmass,
model=model_perez)
elif model == 'perez-driesse':
# perez_driesse will calculate its own airmass if needed
sky = perez_driesse(surface_tilt, surface_azimuth, dhi, dni, dni_extra,
solar_zenith, solar_azimuth, airmass,
model=model_perez)
else:
raise ValueError(f'invalid model selection {model}')

Expand Down Expand Up @@ -1212,6 +1225,235 @@ def perez(surface_tilt, surface_azimuth, dhi, dni, dni_extra,
return sky_diffuse


def _calc_delta(dhi, dni_extra, solar_zenith, airmass=None):
'''
Compute the delta parameter, which represents sky dome "brightness"
in the Perez and Perez-Driesse models.

Helper function for perez_driesse transposition.
'''
if airmass is None:
# use the same airmass model as in the original perez work
airmass = get_relative_airmass(solar_zenith, 'kastenyoung1989')

max_airmass = get_relative_airmass(90, 'kastenyoung1989')
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airmass = np.where(solar_zenith >= 90, max_airmass, airmass)

return dhi / (dni_extra / airmass)


def _calc_zeta(dhi, dni, zenith, use_kappa=True):
'''
Compute the zeta parameter, which represents sky dome "clearness"
in the Perez-Driesse model.

Helper function for perez_driesse transposition.
'''
dhi = np.asarray(dhi)
dni = np.asarray(dni)

with np.errstate(invalid='ignore'):
zeta = dni / (dhi + dni)

zeta = np.where(dhi == 0, 0.0, zeta)

if use_kappa:
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kappa = 1.041
kterm = kappa * np.radians(zenith) ** 3
zeta = zeta / (1 - kterm * (zeta - 1))

return zeta


def _f(i, j, zeta):
'''
Evaluate the quadratic splines corresponding to the
allsitescomposite1990 Perez model look-up table.

Helper function for perez_driesse transposition.
'''
knots = np.array(
[0.000, 0.000, 0.000,
0.061, 0.187, 0.333, 0.487, 0.643, 0.778, 0.839,
1.000, 1.000, 1.000])

coefs = np.array(
[[-0.053, +0.529, -0.028, -0.071, +0.061, -0.019],
[-0.008, +0.588, -0.062, -0.060, +0.072, -0.022],
[+0.131, +0.770, -0.167, -0.026, +0.106, -0.032],
[+0.328, +0.471, -0.216, +0.069, -0.105, -0.028],
[+0.557, +0.241, -0.300, +0.086, -0.085, -0.012],
[+0.861, -0.323, -0.355, +0.240, -0.467, -0.008],
[ 1.212, -1.239, -0.444, +0.305, -0.797, +0.047],
[ 1.099, -1.847, -0.365, +0.275, -1.132, +0.124],
[+0.544, +0.157, -0.213, +0.118, -1.455, +0.292],
[+0.544, +0.157, -0.213, +0.118, -1.455, +0.292],
[+0.000, +0.000, +0.000, +0.000, +0.000, +0.000],
[+0.000, +0.000, +0.000, +0.000, +0.000, +0.000],
[+0.000, +0.000, +0.000, +0.000, +0.000, +0.000]])

coefs = coefs.T.reshape((2, 3, 13))

tck = (knots, coefs[i-1, j-1], 2)

return splev(zeta, tck)


def perez_driesse(surface_tilt, surface_azimuth, dhi, dni, dni_extra,
solar_zenith, solar_azimuth, airmass=None,
model='allsitescomposite1990', return_components=False):
'''
Determine diffuse irradiance from the sky on a tilted surface using
the continuous Perez-Driesse model.

The Perez-Driesse model [1]_ is a reformulation of the 1990 Perez
model [2]_ that provides continuity of the function and of its first
derivatives. This is achieved by replacing the look-up table of
coefficients with quadratic splines.

Parameters
----------
surface_tilt : numeric
Surface tilt angles in decimal degrees. surface_tilt must be >=0
and <=180. The tilt angle is defined as degrees from horizontal
(e.g. surface facing up = 0, surface facing horizon = 90)

surface_azimuth : numeric
Surface azimuth angles in decimal degrees. surface_azimuth must
be >=0 and <=360. The azimuth convention is defined as degrees
east of north (e.g. North = 0, South=180 East = 90, West = 270).

dhi : numeric
Diffuse horizontal irradiance in W/m^2. dhi must be >=0.

dni : numeric
Direct normal irradiance in W/m^2. dni must be >=0.

dni_extra : numeric
Extraterrestrial normal irradiance in W/m^2.

solar_zenith : numeric
apparent (refraction-corrected) zenith angles in decimal
degrees. solar_zenith must be >=0 and <=180.

solar_azimuth : numeric
Sun azimuth angles in decimal degrees. solar_azimuth must be >=0
and <=360. The azimuth convention is defined as degrees east of
north (e.g. North = 0, East = 90, West = 270).

airmass : numeric (optional, default None)
Relative (not pressure-corrected) airmass values. If airmass is a
DataFrame it must be of the same size as all other DataFrame
inputs. The kastenyoung1989 airmass calculation is used internally
and is also recommended when pre-calculating airmass because
it was used in the original model development.

model : string (optional, default='allsitescomposite1990')
A string which selects the desired set of Perez coefficients.
This argument is only for compatibility with the `perez` function.
If a value other than the default value is provided, it is ignored.

return_components: bool (optional, default=False)
Flag used to decide whether to return the calculated diffuse components
or not.

Returns
--------
numeric, OrderedDict, or DataFrame
Return type controlled by `return_components` argument.
If ``return_components=False``, `sky_diffuse` is returned.
If ``return_components=True``, `diffuse_components` is returned.

sky_diffuse : numeric
The sky diffuse component of the solar radiation on a tilted
surface.

diffuse_components : OrderedDict (array input) or DataFrame (Series input)
Keys/columns are:
* sky_diffuse: Total sky diffuse
* isotropic
* circumsolar
* horizon

Notes
-----
The Driesse-Perez model can be considered a plug-in replacement for the
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1990 Perez model using the ``'allsitescomposite1990'`` coefficient set.
Deviations between the two are very small, as demonstrated in [1]_.
Other coefficient sets are not supported because the 1990 set is
based on the largest and most diverse set of empirical data.

References
----------
.. [1] A. Driesse, A. Jensen, R. Perez, A Continuous Form of the Perez
Diffuse Sky Model for Forward and Reverse Transposition, accepted
for publication in the Solar Energy Journal.

.. [2] Perez, R., Ineichen, P., Seals, R., Michalsky, J., Stewart, R.,
1990. Modeling daylight availability and irradiance components from
direct and global irradiance. Solar Energy 44 (5), 271-289.

See also
--------
perez
isotropic
haydavies
klucher
reindl
king
'''
# Contributed by Anton Driesse (@adriesse), PV Performance Labs. Oct., 2023

if model not in ('allsitescomposite1990', '1990'):
warnings.warn("The 'model' parameter is ignored. "
"Only 'allsitescomposite1990' is available.",
UserWarning)
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delta = _calc_delta(dhi, dni_extra, solar_zenith, airmass)
zeta = _calc_zeta(dhi, dni, solar_zenith, use_kappa=True)

z = np.radians(solar_zenith)

F1 = _f(1, 1, zeta) + _f(1, 2, zeta) * delta + _f(1, 3, zeta) * z
F2 = _f(2, 1, zeta) + _f(2, 2, zeta) * delta + _f(2, 3, zeta) * z

# note the newly recommended upper limit on F1
F1 = np.clip(F1, 0, 0.9)

# lines after this point are identical to the original perez function
# with some checks removed

A = aoi_projection(surface_tilt, surface_azimuth,
solar_zenith, solar_azimuth)
A = np.maximum(A, 0)

B = tools.cosd(solar_zenith)
B = np.maximum(B, tools.cosd(85))

# Calculate Diffuse POA from sky dome
term1 = 0.5 * (1 - F1) * (1 + tools.cosd(surface_tilt))
term2 = F1 * A / B
term3 = F2 * tools.sind(surface_tilt)

sky_diffuse = np.maximum(dhi * (term1 + term2 + term3), 0)

if return_components:
diffuse_components = OrderedDict()
diffuse_components['sky_diffuse'] = sky_diffuse

# Calculate the different components
diffuse_components['isotropic'] = dhi * term1
diffuse_components['circumsolar'] = dhi * term2
diffuse_components['horizon'] = dhi * term3

if isinstance(sky_diffuse, pd.Series):
diffuse_components = pd.DataFrame(diffuse_components)

return diffuse_components
else:
return sky_diffuse


def clearsky_index(ghi, clearsky_ghi, max_clearsky_index=2.0):
"""
Calculate the clearsky index.
Expand Down Expand Up @@ -2350,6 +2592,8 @@ def erbs_driesse(ghi, zenith, datetime_or_doy=None, dni_extra=None,
orgill_hollands
boland
"""
# Contributed by Anton Driesse (@adriesse), PV Performance Labs. Aug., 2023

# central polynomial coefficients with float64 precision
p = [+12.26911439571261000,
-16.47050842469730700,
Expand Down
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