def pvl_perez(SurfTilt,
SurfAz,
DHI,
DNI,
HExtra,
SunZen,
SunAz,
AM,
modelt='allsitescomposite1990'):
'''
Determine diffuse irradiance from the sky on a tilted surface using one of the Perez models
Perez models determine the diffuse irradiance from the sky (ground
reflected irradiance is not included in this algorithm) on a tilted
surface using the surface tilt angle, surface azimuth angle, diffuse
horizontal irradiance, direct normal irradiance, extraterrestrial
irradiance, sun zenith angle, sun azimuth angle, and relative (not
pressure-corrected) airmass. Optionally a selector may be used to use
any of Perez's model coefficient sets.
Parameters
----------
SurfTilt : float or DataFrame
Surface tilt angles in decimal degrees.
SurfTilt must be >=0 and <=180. The tilt angle is defined as
degrees from horizontal (e.g. surface facing up = 0, surface facing
horizon = 90)
SurfAz : float or DataFrame
Surface azimuth angles in decimal degrees.
SurfAz 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 : float or DataFrame
diffuse horizontal irradiance in W/m^2.
DHI must be >=0.
DNI : float or DataFrame
direct normal irradiance in W/m^2.
DNI must be >=0.
HExtra : float or DataFrame
extraterrestrial normal irradiance in W/m^2.
HExtra must be >=0.
SunZen : float or DataFrame
apparent (refraction-corrected) zenith
angles in decimal degrees.
SunZen must be >=0 and <=180.
SunAz : float or DataFrame
Sun azimuth angles in decimal degrees.
SunAz must be >=0 and <=360. The Azimuth convention is defined
as degrees east of north (e.g. North = 0, East = 90, West = 270).
AM : float or DataFrame
relative (not pressure-corrected) airmass
values. If AM is a DataFrame it must be of the same size as all other
DataFrame inputs. AM must be >=0 (careful using the 1/sec(z) model of AM
generation)
Other Parameters
----------------
model : string (optional, default='allsitescomposite1990')
a character string which selects the desired set of Perez
coefficients. If model is not provided as an input, the default,
'1990' will be used.
All possible model selections are:
* '1990'
* 'allsitescomposite1990' (same as '1990')
* 'allsitescomposite1988'
* 'sandiacomposite1988'
* 'usacomposite1988'
* 'france1988'
* 'phoenix1988'
* 'elmonte1988'
* 'osage1988'
* 'albuquerque1988'
* 'capecanaveral1988'
* 'albany1988'
Returns
--------
SkyDiffuse : float or DataFrame
the diffuse component of the solar radiation on an
arbitrarily tilted surface defined by the Perez model as given in
reference [3].
SkyDiffuse is the diffuse component ONLY and does not include the ground
reflected irradiance or the irradiance due to the beam.
References
----------
[1] Loutzenhiser P.G. et. al. "Empirical validation of models to compute
solar irradiance on inclined surfaces for building energy simulation"
2007, Solar Energy vol. 81. pp. 254-267
[2] Perez, R., Seals, R., Ineichen, P., Stewart, R., Menicucci, D., 1987. A new
simplified version of the Perez diffuse irradiance model for tilted
surfaces. Solar Energy 39(3), 221-232.
[3] 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.
[4] Perez, R. et. al 1988. "The Development and Verification of the
Perez Diffuse Radiation Model". SAND88-7030
See also
--------
pvl_ephemeris
pvl_extraradiation
pvl_isotropicsky
pvl_haydavies1980
pvl_reindl1990
pvl_klucher1979
pvl_kingdiffuse
pvl_relativeairmass
'''
Vars = locals()
Expect = {
'SurfTilt': ('num', 'x>=0'),
'SurfAz': ('x>=-180'),
'DHI': ('x>=0'),
'DNI': ('x>=0'),
'HExtra': ('x>=0'),
'SunZen': ('x>=0'),
'SunAz': ('x>=-180'),
'AM': ('x>=0'),
'modelt': ('default', 'default=allsitescomposite1990')
}
var = pvl_tools.Parse(Vars, Expect)
kappa = 1.041 #for SunZen in radians
z = var.SunZen * np.pi / 180 # # convert to radians
Dhfilter = var.DHI > 0
e = ((var.DHI[Dhfilter] + var.DNI[Dhfilter]) / var.DHI[Dhfilter] +
kappa * z[Dhfilter]**3) / (1 + kappa * z[Dhfilter]**3).reindex_like(
var.SunZen)
ebin = pd.Series(np.zeros(var.DHI.shape[0]), index=e.index)
# Select which bin e falls into
ebin[(e < 1.065)] = 1
ebin[(e >= 1.065) & (e < 1.23)] = 2
ebin[(e >= 1.23) & (e < 1.5)] = 3
ebin[(e >= 1.5) & (e < 1.95)] = 4
ebin[(e >= 1.95) & (e < 2.8)] = 5
ebin[(e >= 2.8) & (e < 4.5)] = 6
ebin[(e >= 4.5) & (e < 6.2)] = 7
ebin[e >= 6.2] = 8
ebinfilter = ebin > 0
ebin = ebin - 1 #correct for 0 indexing
ebin[ebinfilter == False] = np.NaN
ebin = ebin.dropna().astype(int)
# This is added because in cases where the sun is below the horizon
# (var.SunZen > 90) but there is still diffuse horizontal light (var.DHI>0), it is
# possible that the airmass (var.AM) could be NaN, which messes up later
# calculations. Instead, if the sun is down, and there is still var.DHI, we set
# the airmass to the airmass value on the horizon (approximately 37-38).
#var.AM(var.SunZen >=90 & var.DHI >0) = 37;
var.HExtra[var.HExtra == 0] = .00000001 #very hacky, fix this
delt = var.DHI * var.AM / var.HExtra
#
# The various possible sets of Perez coefficients are contained
# in a subfunction to clean up the code.
F1c, F2c = GetPerezCoefficients(var.modelt)
F1 = F1c[ebin,
0] + F1c[ebin, 1] * delt[ebinfilter] + F1c[ebin,
2] * z[ebinfilter]
F1[F1 < 0] = 0
F1 = F1.astype(float)
F2 = F2c[ebin,
0] + F2c[ebin, 1] * delt[ebinfilter] + F2c[ebin,
2] * z[ebinfilter]
F2[F2 < 0] = 0
F2 = F2.astype(float)
A = pvl_tools.cosd(var.SurfTilt) * pvl_tools.cosd(
var.SunZen) + pvl_tools.sind(var.SurfTilt) * pvl_tools.sind(
var.SunZen) * pvl_tools.cosd(var.SunAz - var.SurfAz)
#removed +180 from azimuth modifier: Rob Andrews October 19th 2012
A[A < 0] = 0
B = pvl_tools.cosd(var.SunZen)
B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85)
#Calculate Diffuse POA from sky dome
#SkyDiffuse = pd.Series(np.zeros(var.DHI.shape[0]),index=data.index)
SkyDiffuse = var.DHI[ebinfilter] * (
0.5 * (1 - F1[ebinfilter]) *
(1 + pvl_tools.cosd(var.SurfTilt)) + F1[ebinfilter] * A[ebinfilter] /
B[ebinfilter] + F2[ebinfilter] * pvl_tools.sind(var.SurfTilt))
SkyDiffuse[SkyDiffuse <= 0] = 0
return pd.DataFrame({'In_Plane_SkyDiffuse': SkyDiffuse})
def pvl_haydavies1980(SurfTilt, SurfAz, DHI, DNI, HExtra, SunZen, SunAz):
'''
Determine diffuse irradiance from the sky on a tilted surface using Hay & Davies' 1980 model
Hay and Davies' 1980 model determines the diffuse irradiance from the sky
(ground reflected irradiance is not included in this algorithm) on a
tilted surface using the surface tilt angle, surface azimuth angle,
diffuse horizontal irradiance, direct normal irradiance,
extraterrestrial irradiance, sun zenith angle, and sun azimuth angle.
Parameters
----------
SurfTilt : float or DataFrame
Surface tilt angles in decimal degrees.
SurfTilt must be >=0 and <=180. The tilt angle is defined as
degrees from horizontal (e.g. surface facing up = 0, surface facing
horizon = 90)
SurfAz : float or DataFrame
Surface azimuth angles in decimal degrees.
SurfAz 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 : float or DataFrame
diffuse horizontal irradiance in W/m^2.
DHI must be >=0.
DNI : float or DataFrame
direct normal irradiance in W/m^2.
DNI must be >=0.
HExtra : float or DataFrame
extraterrestrial normal irradiance in W/m^2.
HExtra must be >=0.
SunZen : float or DataFrame
apparent (refraction-corrected) zenith
angles in decimal degrees.
SunZen must be >=0 and <=180.
SunAz : float or DataFrame
Sun azimuth angles in decimal degrees.
SunAz must be >=0 and <=360. The Azimuth convention is defined
as degrees east of north (e.g. North = 0, East = 90, West = 270).
Returns
--------
SkyDiffuse : float or DataFrame
the diffuse component of the solar radiation on an
arbitrarily tilted surface defined by the Perez model as given in
reference [3].
SkyDiffuse is the diffuse component ONLY and does not include the ground
reflected irradiance or the irradiance due to the beam.
References
-----------
[1] Loutzenhiser P.G. et. al. "Empirical validation of models to compute
solar irradiance on inclined surfaces for building energy simulation"
2007, Solar Energy vol. 81. pp. 254-267
[2] Hay, J.E., Davies, J.A., 1980. Calculations of the solar radiation incident
on an inclined surface. In: Hay, J.E., Won, T.K. (Eds.), Proc. of First
Canadian Solar Radiation Data Workshop, 59. Ministry of Supply
and Services, Canada.
See Also
--------
pvl_ephemeris
pvl_extraradiation
pvl_isotropicsky
pvl_reindl1990
pvl_perez
pvl_klucher1979
pvl_kingdiffuse
pvl_spa
'''
Vars = locals()
Expect = {
'SurfTilt': ('num', 'x>=0'),
'SurfAz': ('x>=-180'),
'DHI': ('x>=0'),
'DNI': ('x>=0'),
'HExtra': ('x>=0'),
'SunZen': ('x>=0'),
'SunAz': ('x>=-180'),
}
var = pvl_tools.Parse(Vars, Expect)
COSTT = pvl_tools.cosd(SurfTilt) * pvl_tools.cosd(SunZen) + pvl_tools.sind(
SurfTilt) * pvl_tools.sind(SunZen) * pvl_tools.cosd(SunAz - SurfAz)
RB = np.max(COSTT, 0) / np.max(pvl_tools.cosd(SunZen), 0.01745)
AI = DNI / HExtra
SkyDiffuse = DHI * ((AI * (RB) + (1 - AI) * (0.5) *
((1 + pvl_tools.cosd(SurfTilt)))))
return SkyDiffuse
def pvl_physicaliam(K, L, n, theta):
'''
Determine the incidence angle modifier using refractive
index, glazing thickness, and extinction coefficient
pvl_physicaliam calculates the incidence angle modifier as described in
De Soto et al. "Improvement and validation of a model for photovoltaic
array performance", section 3. The calculation is based upon a physical
model of absorbtion and transmission through a cover. Required
information includes, incident angle, cover extinction coefficient,
cover thickness
Note: The authors of this function believe that eqn. 14 in [1] is
incorrect. This function uses the following equation in its place:
theta_r = arcsin(1/n * sin(theta))
Parameters
----------
K : float
The glazing extinction coefficient in units of 1/meters. Reference
[1] indicates that a value of 4 is reasonable for "water white"
glass. K must be a numeric scalar or vector with all values >=0. If K
is a vector, it must be the same size as all other input vectors.
L : float
The glazing thickness in units of meters. Reference [1] indicates
that 0.002 meters (2 mm) is reasonable for most glass-covered
PV panels. L must be a numeric scalar or vector with all values >=0.
If L is a vector, it must be the same size as all other input vectors.
n : float
The effective index of refraction (unitless). Reference [1]
indicates that a value of 1.526 is acceptable for glass. n must be a
numeric scalar or vector with all values >=0. If n is a vector, it
must be the same size as all other input vectors.
theta :float
The angle of incidence between the module normal vector and the
sun-beam vector in degrees. Theta must be a numeric scalar or vector.
For any values of theta where abs(theta)>90, IAM is set to 0. For any
values of theta where -90 < theta < 0, theta is set to abs(theta) and
evaluated. A warning will be generated if any(theta<0 or theta>90).
Returns
-------
IAM : float
The incident angle modifier as specified in eqns. 14-16 of [1].
IAM is a column vector with the same number of elements as the
largest input vector.
References
----------
[1] W. De Soto et al., "Improvement and validation of a model for
photovoltaic array performance", Solar Energy, vol 80, pp. 78-88,
2006.
[2] Duffie, John A. & Beckman, William A.. (2006). Solar Engineering
of Thermal Processes, third edition. [Books24x7 version] Available
from http://common.books24x7.com/toc.aspx?bookid=17160.
See Also
--------
pvl_getaoi
pvl_ephemeris
pvl_spa
pvl_ashraeiam
'''
Vars = locals()
Expect = {'K': 'x >= 0', 'L': 'x >= 0', 'n': 'x >= 0', 'theta': 'num'}
var = pvl_tools.Parse(Vars, Expect)
if any((var.theta < 0) | (var.theta >= 90)):
print(
'Input incident angles <0 or >=90 detected For input angles with absolute value greater than 90, the '
+
'modifier is set to 0. For input angles between -90 and 0, the ' +
'angle is changed to its absolute value and evaluated.')
var.theta[(var.theta < 0) |
(var.theta >= 90)] = abs((var.theta < 0) | (var.theta >= 90))
thetar_deg = pvl_tools.asind(1.0 / n * (pvl_tools.sind(theta)))
tau = np.exp(-1.0 * (K * (L) / pvl_tools.cosd(thetar_deg))) * ((1 - 0.5 * (
(((pvl_tools.sind(thetar_deg - theta))**2) /
((pvl_tools.sind(thetar_deg + theta))**2) +
((pvl_tools.tand(thetar_deg - theta))**2) /
((pvl_tools.tand(thetar_deg + theta))**2)))))
zeroang = 1e-06
thetar_deg0 = pvl_tools.asind(1.0 / n * (pvl_tools.sind(zeroang)))
tau0 = np.exp(-1.0 * (K * (L) / pvl_tools.cosd(thetar_deg0))) * (
(1 - 0.5 * ((((pvl_tools.sind(thetar_deg0 - zeroang))**2) /
((pvl_tools.sind(thetar_deg0 + zeroang))**2) +
((pvl_tools.tand(thetar_deg0 - zeroang))**2) /
((pvl_tools.tand(thetar_deg0 + zeroang))**2)))))
IAM = tau / tau0
IAM[theta == 0] = 1
IAM[abs(theta) > 90 | (IAM < 0)] = 0
return IAM
def pvl_klucher1979(SurfTilt, SurfAz, DHI, GHI, SunZen, SunAz):
'''
Determine diffuse irradiance from the sky on a tilted surface using Klucher's 1979 model
Klucher's 1979 model determines the diffuse irradiance from the sky
(ground reflected irradiance is not included in this algorithm) on a
tilted surface using the surface tilt angle, surface azimuth angle,
diffuse horizontal irradiance, direct normal irradiance, global
horizontal irradiance, extraterrestrial irradiance, sun zenith angle,
and sun azimuth angle.
Parameters
----------
SurfTilt : float or DataFrame
Surface tilt angles in decimal degrees.
SurfTilt must be >=0 and <=180. The tilt angle is defined as
degrees from horizontal (e.g. surface facing up = 0, surface facing
horizon = 90)
SurfAz : float or DataFrame
Surface azimuth angles in decimal degrees.
SurfAz 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 : float or DataFrame
diffuse horizontal irradiance in W/m^2.
DHI must be >=0.
GHI : float or DataFrame
Global irradiance in W/m^2.
DNI must be >=0.
SunZen : float or DataFrame
apparent (refraction-corrected) zenith
angles in decimal degrees.
SunZen must be >=0 and <=180.
SunAz : float or DataFrame
Sun azimuth angles in decimal degrees.
SunAz must be >=0 and <=360. The Azimuth convention is defined
as degrees east of north (e.g. North = 0, East = 90, West = 270).
Returns
-------
SkyDiffuse : float or DataFrame
the diffuse component of the solar radiation on an
arbitrarily tilted surface defined by the Klucher model as given in
Loutzenhiser et. al (2007) equation 4.
SkyDiffuse is the diffuse component ONLY and does not include the ground
reflected irradiance or the irradiance due to the beam.
SkyDiffuse is a column vector vector with a number of elements equal to
the input vector(s).
References
----------
[1] Loutzenhiser P.G. et. al. "Empirical validation of models to compute
solar irradiance on inclined surfaces for building energy simulation"
2007, Solar Energy vol. 81. pp. 254-267
[2] Klucher, T.M., 1979. Evaluation of models to predict insolation on tilted
surfaces. Solar Energy 23 (2), 111-114.
See also
--------
pvl_ephemeris
pvl_extraradiation
pvl_isotropicsky
pvl_haydavies1980
pvl_perez
pvl_reindl1990
pvl_kingdiffuse
'''
Vars = locals()
Expect = {
'SurfTilt': ('num', 'x>=0'),
'SurfAz': ('x>=-180'),
'DHI': ('x>=0'),
'GHI': ('x>=0'),
'SunZen': ('x>=0'),
'SunAz': ('x>=-180')
}
var = pvl_tools.Parse(Vars, Expect)
GHI[GHI < DHI] = DHI
GHI[GHI < 1e-06] = 1e-06
COSTT = pvl_tools.cosd(SurfTilt) * pvl_tools.cosd(SunZen) + pvl_tools.sind(
SurfTilt) * pvl_tools.sind(SunZen) * pvl_tools.cosd(SunAz - SurfAz)
F = 1 - ((DHI / GHI)**2)
SkyDiffuse = DHI * ((0.5 * ((1 + pvl_tools.cosd(SurfTilt))))) * ((1 + F * (
((pvl_tools.sind(SurfTilt / 2))**3)))) * ((1 + F * (((COSTT)**2)) * ((
(pvl_tools.sind(SunZen))**3))))
return SkyDiffuse
def pvl_klucher1979(SurfTilt,SurfAz,DHI,GHI,SunZen,SunAz):
'''
Determine diffuse irradiance from the sky on a tilted surface using Klucher's 1979 model
Klucher's 1979 model determines the diffuse irradiance from the sky
(ground reflected irradiance is not included in this algorithm) on a
tilted surface using the surface tilt angle, surface azimuth angle,
diffuse horizontal irradiance, direct normal irradiance, global
horizontal irradiance, extraterrestrial irradiance, sun zenith angle,
and sun azimuth angle.
Parameters
----------
SurfTilt : float or DataFrame
Surface tilt angles in decimal degrees.
SurfTilt must be >=0 and <=180. The tilt angle is defined as
degrees from horizontal (e.g. surface facing up = 0, surface facing
horizon = 90)
SurfAz : float or DataFrame
Surface azimuth angles in decimal degrees.
SurfAz 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 : float or DataFrame
diffuse horizontal irradiance in W/m^2.
DHI must be >=0.
GHI : float or DataFrame
Global irradiance in W/m^2.
DNI must be >=0.
SunZen : float or DataFrame
apparent (refraction-corrected) zenith
angles in decimal degrees.
SunZen must be >=0 and <=180.
SunAz : float or DataFrame
Sun azimuth angles in decimal degrees.
SunAz must be >=0 and <=360. The Azimuth convention is defined
as degrees east of north (e.g. North = 0, East = 90, West = 270).
Returns
-------
SkyDiffuse : float or DataFrame
the diffuse component of the solar radiation on an
arbitrarily tilted surface defined by the Klucher model as given in
Loutzenhiser et. al (2007) equation 4.
SkyDiffuse is the diffuse component ONLY and does not include the ground
reflected irradiance or the irradiance due to the beam.
SkyDiffuse is a column vector vector with a number of elements equal to
the input vector(s).
References
----------
[1] Loutzenhiser P.G. et. al. "Empirical validation of models to compute
solar irradiance on inclined surfaces for building energy simulation"
2007, Solar Energy vol. 81. pp. 254-267
[2] Klucher, T.M., 1979. Evaluation of models to predict insolation on tilted
surfaces. Solar Energy 23 (2), 111-114.
See also
--------
pvl_ephemeris
pvl_extraradiation
pvl_isotropicsky
pvl_haydavies1980
pvl_perez
pvl_reindl1990
pvl_kingdiffuse
'''
Vars=locals()
Expect={'SurfTilt':('num','x>=0'),
'SurfAz':('x>=-180'),
'DHI':('x>=0'),
'GHI':('x>=0'),
'SunZen':('x>=0'),
'SunAz':('x>=-180')
}
var=pvl_tools.Parse(Vars,Expect)
GHI[GHI < DHI]=DHI
GHI[GHI < 1e-06]=1e-06
COSTT=pvl_tools.cosd(SurfTilt)*pvl_tools.cosd(SunZen) + pvl_tools.sind(SurfTilt)*pvl_tools.sind(SunZen)*pvl_tools.cosd(SunAz - SurfAz)
F=1 - ((DHI / GHI) ** 2)
SkyDiffuse=DHI*((0.5*((1 + pvl_tools.cosd(SurfTilt)))))*((1 + F*(((pvl_tools.sind(SurfTilt / 2)) ** 3))))*((1 + F*(((COSTT) ** 2))*(((pvl_tools.sind(SunZen)) ** 3))))
return SkyDiffuse
def pvl_perez(SurfTilt, SurfAz, DHI, DNI, HExtra, SunZen, SunAz, AM,modelt='allsitescomposite1990'):
'''
Determine diffuse irradiance from the sky on a tilted surface using one of the Perez models
Perez models determine the diffuse irradiance from the sky (ground
reflected irradiance is not included in this algorithm) on a tilted
surface using the surface tilt angle, surface azimuth angle, diffuse
horizontal irradiance, direct normal irradiance, extraterrestrial
irradiance, sun zenith angle, sun azimuth angle, and relative (not
pressure-corrected) airmass. Optionally a selector may be used to use
any of Perez's model coefficient sets.
Parameters
----------
SurfTilt : float or DataFrame
Surface tilt angles in decimal degrees.
SurfTilt must be >=0 and <=180. The tilt angle is defined as
degrees from horizontal (e.g. surface facing up = 0, surface facing
horizon = 90)
SurfAz : float or DataFrame
Surface azimuth angles in decimal degrees.
SurfAz 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 : float or DataFrame
diffuse horizontal irradiance in W/m^2.
DHI must be >=0.
DNI : float or DataFrame
direct normal irradiance in W/m^2.
DNI must be >=0.
HExtra : float or DataFrame
extraterrestrial normal irradiance in W/m^2.
HExtra must be >=0.
SunZen : float or DataFrame
apparent (refraction-corrected) zenith
angles in decimal degrees.
SunZen must be >=0 and <=180.
SunAz : float or DataFrame
Sun azimuth angles in decimal degrees.
SunAz must be >=0 and <=360. The Azimuth convention is defined
as degrees east of north (e.g. North = 0, East = 90, West = 270).
AM : float or DataFrame
relative (not pressure-corrected) airmass
values. If AM is a DataFrame it must be of the same size as all other
DataFrame inputs. AM must be >=0 (careful using the 1/sec(z) model of AM
generation)
Other Parameters
----------------
model : string (optional, default='allsitescomposite1990')
a character string which selects the desired set of Perez
coefficients. If model is not provided as an input, the default,
'1990' will be used.
All possible model selections are:
* '1990'
* 'allsitescomposite1990' (same as '1990')
* 'allsitescomposite1988'
* 'sandiacomposite1988'
* 'usacomposite1988'
* 'france1988'
* 'phoenix1988'
* 'elmonte1988'
* 'osage1988'
* 'albuquerque1988'
* 'capecanaveral1988'
* 'albany1988'
Returns
--------
SkyDiffuse : float or DataFrame
the diffuse component of the solar radiation on an
arbitrarily tilted surface defined by the Perez model as given in
reference [3].
SkyDiffuse is the diffuse component ONLY and does not include the ground
reflected irradiance or the irradiance due to the beam.
References
----------
[1] Loutzenhiser P.G. et. al. "Empirical validation of models to compute
solar irradiance on inclined surfaces for building energy simulation"
2007, Solar Energy vol. 81. pp. 254-267
[2] Perez, R., Seals, R., Ineichen, P., Stewart, R., Menicucci, D., 1987. A new
simplified version of the Perez diffuse irradiance model for tilted
surfaces. Solar Energy 39(3), 221-232.
[3] 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.
[4] Perez, R. et. al 1988. "The Development and Verification of the
Perez Diffuse Radiation Model". SAND88-7030
See also
--------
pvl_ephemeris
pvl_extraradiation
pvl_isotropicsky
pvl_haydavies1980
pvl_reindl1990
pvl_klucher1979
pvl_kingdiffuse
pvl_relativeairmass
'''
Vars=locals()
Expect={'SurfTilt':('num','x>=0'),
'SurfAz':('x>=-180'),
'DHI':('x>=0'),
'DNI':('x>=0'),
'HExtra':('x>=0'),
'SunZen':('x>=0'),
'SunAz':('x>=-180'),
'AM':('x>=0'),
'modelt': ('default','default=allsitescomposite1990')}
var=pvl_tools.Parse(Vars,Expect)
kappa = 1.041 #for SunZen in radians
z = var.SunZen*np.pi/180# # convert to radians
Dhfilter = var.DHI > 0
e = ((var.DHI[Dhfilter] + var.DNI[Dhfilter])/var.DHI[Dhfilter]+kappa*z[Dhfilter]**3)/(1+kappa*z[Dhfilter]**3).reindex_like(var.SunZen)
ebin = pd.Series(np.zeros(var.DHI.shape[0]),index=e.index)
# Select which bin e falls into
ebin[(e<1.065)]= 1
ebin[(e>=1.065) & (e<1.23)]= 2
ebin[(e>=1.23) & (e<1.5)]= 3
ebin[(e>=1.5) & (e<1.95)]= 4
ebin[(e>=1.95) & (e<2.8)]= 5
ebin[(e>=2.8) & (e<4.5)]= 6
ebin[(e>=4.5) & (e<6.2)]= 7
ebin[e>=6.2] = 8
ebinfilter=ebin>0
ebin=ebin-1 #correct for 0 indexing
ebin[ebinfilter==False]=np.NaN
ebin=ebin.dropna().astype(int)
# This is added because in cases where the sun is below the horizon
# (var.SunZen > 90) but there is still diffuse horizontal light (var.DHI>0), it is
# possible that the airmass (var.AM) could be NaN, which messes up later
# calculations. Instead, if the sun is down, and there is still var.DHI, we set
# the airmass to the airmass value on the horizon (approximately 37-38).
#var.AM(var.SunZen >=90 & var.DHI >0) = 37;
var.HExtra[var.HExtra==0]=.00000001 #very hacky, fix this
delt = var.DHI*var.AM/var.HExtra
#
# The various possible sets of Perez coefficients are contained
# in a subfunction to clean up the code.
F1c,F2c = GetPerezCoefficients(var.modelt)
F1= F1c[ebin,0] + F1c[ebin,1]*delt[ebinfilter] + F1c[ebin,2]*z[ebinfilter]
F1[F1<0]=0;
F1=F1.astype(float)
F2= F2c[ebin,0] + F2c[ebin,1]*delt[ebinfilter] + F2c[ebin,2]*z[ebinfilter]
F2[F2<0]=0
F2=F2.astype(float)
A = pvl_tools.cosd(var.SurfTilt)*pvl_tools.cosd(var.SunZen) + pvl_tools.sind(var.SurfTilt)*pvl_tools.sind(var.SunZen)*pvl_tools.cosd(var.SunAz-var.SurfAz); #removed +180 from azimuth modifier: Rob Andrews October 19th 2012
A[A < 0] = 0
B = pvl_tools.cosd(var.SunZen);
B[B < pvl_tools.cosd(85)] = pvl_tools.cosd(85)
#Calculate Diffuse POA from sky dome
#SkyDiffuse = pd.Series(np.zeros(var.DHI.shape[0]),index=data.index)
SkyDiffuse = var.DHI[ebinfilter]*( 0.5* (1-F1[ebinfilter])*(1+pvl_tools.cosd(var.SurfTilt))+F1[ebinfilter] * A[ebinfilter]/ B[ebinfilter] + F2[ebinfilter]* pvl_tools.sind(var.SurfTilt))
SkyDiffuse[SkyDiffuse <= 0]= 0
return pd.DataFrame({'In_Plane_SkyDiffuse':SkyDiffuse})
def pvl_reindl1990(SurfTilt, SurfAz, DHI, DNI, GHI, HExtra, SunZen, SunAz):
'''
Determine diffuse irradiance from the sky on a tilted surface using Reindl's 1990 model
Reindl's 1990 model determines the diffuse irradiance from the sky
(ground reflected irradiance is not included in this algorithm) on a
tilted surface using the surface tilt angle, surface azimuth angle,
diffuse horizontal irradiance, direct normal irradiance, global
horizontal irradiance, extraterrestrial irradiance, sun zenith angle,
and sun azimuth angle.
Parameters
----------
SurfTilt : DataFrame
Surface tilt angles in decimal degrees.
SurfTilt must be >=0 and <=180. The tilt angle is defined as
degrees from horizontal (e.g. surface facing up = 0, surface facing
horizon = 90)
SurfAz : DataFrame
Surface azimuth angles in decimal degrees.
SurfAz 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 : DataFrame
diffuse horizontal irradiance in W/m^2.
DHI must be >=0.
DNI : DataFrame
direct normal irradiance in W/m^2.
DNI must be >=0.
GHI: DataFrame
Global irradiance in W/m^2.
GHI must be >=0.
HExtra : DataFrame
extraterrestrial normal irradiance in W/m^2.
HExtra must be >=0.
SunZen : DataFrame
apparent (refraction-corrected) zenith
angles in decimal degrees.
SunZen must be >=0 and <=180.
SunAz : DataFrame
Sun azimuth angles in decimal degrees.
SunAz must be >=0 and <=360. The Azimuth convention is defined
as degrees east of north (e.g. North = 0, East = 90, West = 270).
Returns
-------
SkyDiffuse : DataFrame
the diffuse component of the solar radiation on an
arbitrarily tilted surface defined by the Reindl model as given in
Loutzenhiser et. al (2007) equation 8.
SkyDiffuse is the diffuse component ONLY and does not include the ground
reflected irradiance or the irradiance due to the beam.
SkyDiffuse is a column vector vector with a number of elements equal to
the input vector(s).
Notes
-----
The POAskydiffuse calculation is generated from the Loutzenhiser et al.
(2007) paper, equation 8. Note that I have removed the beam and ground
reflectance portion of the equation and this generates ONLY the diffuse
radiation from the sky and circumsolar, so the form of the equation
varies slightly from equation 8.
References
----------
[1] Loutzenhiser P.G. et. al. "Empirical validation of models to compute
solar irradiance on inclined surfaces for building energy simulation"
2007, Solar Energy vol. 81. pp. 254-267
[2] Reindl, D.T., Beckmann, W.A., Duffie, J.A., 1990a. Diffuse fraction
correlations. Solar Energy 45(1), 1-7.
[3] Reindl, D.T., Beckmann, W.A., Duffie, J.A., 1990b. Evaluation of hourly
tilted surface radiation models. Solar Energy 45(1), 9-17.
See Also
---------
pvl_ephemeris
pvl_extraradiation
pvl_isotropicsky
pvl_haydavies1980
pvl_perez
pvl_klucher1979
pvl_kingdiffuse
'''
Vars = locals()
Expect = {
'SurfTilt': ('num', 'x>=0'),
'SurfAz': ('num', 'x>=-180'),
'DHI': ('num', 'x>=0'),
'DNI': ('num', 'x>=0'),
'GHI': ('num', 'x>=0'),
'HExtra': ('num', 'x>=0'),
'SunZen': ('num', 'x>=0'),
'SunAz': ('num', 'x>=-180'),
}
var = pvl_tools.Parse(Vars, Expect)
small = 1e-06
COSTT = pvl_tools.cosd(SurfTilt) * pvl_tools.cosd(SunZen) + pvl_tools.sind(
SurfTilt) * pvl_tools.sind(SunZen) * pvl_tools.cosd(SunAz - SurfAz)
RB = np.max(COSTT, 0) / np.max(pvl_tools.cosd(SunZen), 0.01745)
AI = DNI / HExtra
GHI[GHI < small] = small
HB = DNI * (pvl_tools.cosd(SunZen))
HB[HB < 0] = 0
GHI[GHI < 0] = 0
F = np.sqrt(HB / GHI)
SCUBE = (pvl_tools.sind(SurfTilt * (0.5)))**3
SkyDiffuse = DHI * ((AI * (RB) + (1 - AI) * (0.5) *
((1 + pvl_tools.cosd(SurfTilt))) * ((1 + F *
(SCUBE)))))
return SkyDiffuse
def pvl_haydavies1980(SurfTilt,SurfAz,DHI,DNI,HExtra,SunZen,SunAz):
'''
Determine diffuse irradiance from the sky on a tilted surface using Hay & Davies' 1980 model
Hay and Davies' 1980 model determines the diffuse irradiance from the sky
(ground reflected irradiance is not included in this algorithm) on a
tilted surface using the surface tilt angle, surface azimuth angle,
diffuse horizontal irradiance, direct normal irradiance,
extraterrestrial irradiance, sun zenith angle, and sun azimuth angle.
Parameters
----------
SurfTilt : float or DataFrame
Surface tilt angles in decimal degrees.
SurfTilt must be >=0 and <=180. The tilt angle is defined as
degrees from horizontal (e.g. surface facing up = 0, surface facing
horizon = 90)
SurfAz : float or DataFrame
Surface azimuth angles in decimal degrees.
SurfAz 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 : float or DataFrame
diffuse horizontal irradiance in W/m^2.
DHI must be >=0.
DNI : float or DataFrame
direct normal irradiance in W/m^2.
DNI must be >=0.
HExtra : float or DataFrame
extraterrestrial normal irradiance in W/m^2.
HExtra must be >=0.
SunZen : float or DataFrame
apparent (refraction-corrected) zenith
angles in decimal degrees.
SunZen must be >=0 and <=180.
SunAz : float or DataFrame
Sun azimuth angles in decimal degrees.
SunAz must be >=0 and <=360. The Azimuth convention is defined
as degrees east of north (e.g. North = 0, East = 90, West = 270).
Returns
--------
SkyDiffuse : float or DataFrame
the diffuse component of the solar radiation on an
arbitrarily tilted surface defined by the Perez model as given in
reference [3].
SkyDiffuse is the diffuse component ONLY and does not include the ground
reflected irradiance or the irradiance due to the beam.
References
-----------
[1] Loutzenhiser P.G. et. al. "Empirical validation of models to compute
solar irradiance on inclined surfaces for building energy simulation"
2007, Solar Energy vol. 81. pp. 254-267
[2] Hay, J.E., Davies, J.A., 1980. Calculations of the solar radiation incident
on an inclined surface. In: Hay, J.E., Won, T.K. (Eds.), Proc. of First
Canadian Solar Radiation Data Workshop, 59. Ministry of Supply
and Services, Canada.
See Also
--------
pvl_ephemeris
pvl_extraradiation
pvl_isotropicsky
pvl_reindl1990
pvl_perez
pvl_klucher1979
pvl_kingdiffuse
pvl_spa
'''
Vars=locals()
Expect={'SurfTilt':('num','x>=0'),
'SurfAz':('x>=-180'),
'DHI':('x>=0'),
'DNI':('x>=0'),
'HExtra':('x>=0'),
'SunZen':('x>=0'),
'SunAz':('x>=-180'),
}
var=pvl_tools.Parse(Vars,Expect)
COSTT=pvl_tools.cosd(SurfTilt)*pvl_tools.cosd(SunZen) + pvl_tools.sind(SurfTilt)*pvl_tools.sind(SunZen)*pvl_tools.cosd(SunAz - SurfAz)
RB=np.max(COSTT,0) / np.max(pvl_tools.cosd(SunZen),0.01745)
AI=DNI / HExtra
SkyDiffuse=DHI*((AI*(RB) + (1 - AI)*(0.5)*((1 + pvl_tools.cosd(SurfTilt)))))
return SkyDiffuse
def pvl_physicaliam(K,L,n,theta):
'''
Determine the incidence angle modifier using refractive
index, glazing thickness, and extinction coefficient
pvl_physicaliam calculates the incidence angle modifier as described in
De Soto et al. "Improvement and validation of a model for photovoltaic
array performance", section 3. The calculation is based upon a physical
model of absorbtion and transmission through a cover. Required
information includes, incident angle, cover extinction coefficient,
cover thickness
Note: The authors of this function believe that eqn. 14 in [1] is
incorrect. This function uses the following equation in its place:
theta_r = arcsin(1/n * sin(theta))
Parameters
----------
K : float
The glazing extinction coefficient in units of 1/meters. Reference
[1] indicates that a value of 4 is reasonable for "water white"
glass. K must be a numeric scalar or vector with all values >=0. If K
is a vector, it must be the same size as all other input vectors.
L : float
The glazing thickness in units of meters. Reference [1] indicates
that 0.002 meters (2 mm) is reasonable for most glass-covered
PV panels. L must be a numeric scalar or vector with all values >=0.
If L is a vector, it must be the same size as all other input vectors.
n : float
The effective index of refraction (unitless). Reference [1]
indicates that a value of 1.526 is acceptable for glass. n must be a
numeric scalar or vector with all values >=0. If n is a vector, it
must be the same size as all other input vectors.
theta :float
The angle of incidence between the module normal vector and the
sun-beam vector in degrees. Theta must be a numeric scalar or vector.
For any values of theta where abs(theta)>90, IAM is set to 0. For any
values of theta where -90 < theta < 0, theta is set to abs(theta) and
evaluated. A warning will be generated if any(theta<0 or theta>90).
Returns
-------
IAM : float
The incident angle modifier as specified in eqns. 14-16 of [1].
IAM is a column vector with the same number of elements as the
largest input vector.
References
----------
[1] W. De Soto et al., "Improvement and validation of a model for
photovoltaic array performance", Solar Energy, vol 80, pp. 78-88,
2006.
[2] Duffie, John A. & Beckman, William A.. (2006). Solar Engineering
of Thermal Processes, third edition. [Books24x7 version] Available
from http://common.books24x7.com/toc.aspx?bookid=17160.
See Also
--------
pvl_getaoi
pvl_ephemeris
pvl_spa
pvl_ashraeiam
'''
Vars=locals()
Expect={'K':'x >= 0',
'L':'x >= 0',
'n':'x >= 0',
'theta':'num'}
var=pvl_tools.Parse(Vars,Expect)
if any((var.theta < 0) | (var.theta >= 90)):
print('Input incident angles <0 or >=90 detected For input angles with absolute value greater than 90, the ' + 'modifier is set to 0. For input angles between -90 and 0, the ' + 'angle is changed to its absolute value and evaluated.')
var.theta[(var.theta < 0) | (var.theta >= 90)]=abs((var.theta < 0) | (var.theta >= 90))
thetar_deg=pvl_tools.asind(1.0 / n*(pvl_tools.sind(theta)))
tau=np.exp(- 1.0 * (K*(L) / pvl_tools.cosd(thetar_deg)))*((1 - 0.5*((((pvl_tools.sind(thetar_deg - theta)) ** 2) / ((pvl_tools.sind(thetar_deg + theta)) ** 2) + ((pvl_tools.tand(thetar_deg - theta)) ** 2) / ((pvl_tools.tand(thetar_deg + theta)) ** 2)))))
zeroang=1e-06
thetar_deg0=pvl_tools.asind(1.0 / n*(pvl_tools.sind(zeroang)))
tau0=np.exp(- 1.0 * (K*(L) / pvl_tools.cosd(thetar_deg0)))*((1 - 0.5*((((pvl_tools.sind(thetar_deg0 - zeroang)) ** 2) / ((pvl_tools.sind(thetar_deg0 + zeroang)) ** 2) + ((pvl_tools.tand(thetar_deg0 - zeroang)) ** 2) / ((pvl_tools.tand(thetar_deg0 + zeroang)) ** 2)))))
IAM=tau / tau0
IAM[theta == 0]=1
IAM[abs(theta) > 90 | (IAM < 0)]=0
return IAM
