1- .. _modelcomparison :
2-
3- Model comparison tables
4- =======================
5-
6- Intro
1+ .. _spectral_correction_comparison :
72
83Spectral mismatch models
9- ------------------------
4+ ========================
105
116pvlib-python contains several models to estimate the spectral mismatch factor
127using atmospheric variables such as air mass, or system and meteorological
138data such as spectral response and spectral irradiance. An example
149demonstrating the application of three pvlib-python spectral mismatch models
15- is also available: :ref: `sphx_glr_gallery_spectrum_spectral_factor.py. Here,
10+ is also available: :ref: `sphx_glr_gallery_spectrum_spectral_factor.py ` . Here,
1611a comparison of all models available in pvlib-python is presented. An extended
1712review of a wider range of models available in the published literature may be
1813found in Reference [X].
@@ -21,24 +16,26 @@ The table below summarises the models currently available in pvlib, the inputs
2116required, cell technologies for which model coefficients have been published,
2217source of data used for model development and validation, and references.
2318
24- +---------------------------------------------------------+--------------------------------------------------------------+-----------------+-------------------+-----------+
25- | Model | Inputs | Cell technology | Data source | Reference |
26- +=========================================================+==============================================================+=================+===================+===========+
27- | :py:func:`~pvlib.spectrum.spectral_factor_caballero` | absolute airmass, precipitable water, aerosol optical depth | Multiple | SMARTS, measured | [X] |
28- +---------------------------------------------------------+--------------------------------------------------------------+-----------------+-------------------+-----------+
29- | :py:func: `~pvlib.spectrum.spectral_factor_firstsolar ` | absolute airmass, precipitable water | mSi, CdTe | SMARTS+TMY, field | [X] |
30- +---------------------------------------------------------+--------------------------------------------------------------+-----------------+-------------------+-----------+
31- | :py:func: `~pvlib.spectrum.spectral_factor_sapm ` | absolute airmass | Multiple | Field | [X] |
32- +---------------------------------------------------------+--------------------------------------------------------------+-----------------+-------------------+-----------+
33- | :py:func: `~pvlib.spectrum.spectral_factor_pvspec ` | absolute airmass, clearsky index | Multiple | Field | [X] |
34- +---------------------------------------------------------+--------------------------------------------------------------+-----------------+-------------------+-----------+
35- | :py:func: `~pvlib.spectrum.spectral_factor_jrc ` | absolute airmass, clearsky index | Multiple | Field | [X] |
36- +---------------------------------------------------------+--------------------------------------------------------------+-----------------+-------------------+-----------+
37- | :py:func: `~pvlib.spectrum.calc_spectral_mismatch_field ` | spectral response, spectral irradiance | - | - | [X] |
38- +---------------------------------------------------------+--------------------------------------------------------------+-----------------+-------------------+-----------+
39-
19+ +---------------------------------------------------------+--------------------------------------------------------------+-----------------+------------+
20+ | Model | Inputs | Cell technology | Reference |
21+ +=========================================================+==============================================================+=================+============+
22+ | :py:func: `~pvlib.spectrum.spectral_factor_caballero ` | absolute airmass, precipitable water, aerosol optical depth | CdTe, mono-Si, | |
23+ | | | poly-Si, CIGS, | [X] |
24+ | | | aSi, perovskite | |
25+ +---------------------------------------------------------+--------------------------------------------------------------+-----------------+------------+
26+ | :py:func: `~pvlib.spectrum.spectral_factor_firstsolar ` | absolute airmass, precipitable water | mSi, CdTe | [X] |
27+ +---------------------------------------------------------+--------------------------------------------------------------+-----------------+------------+
28+ | :py:func: `~pvlib.spectrum.spectral_factor_sapm ` | absolute airmass | Multiple | [X] |
29+ +---------------------------------------------------------+--------------------------------------------------------------+-----------------+------------+
30+ | :py:func: `~pvlib.spectrum.spectral_factor_pvspec ` | absolute airmass, clearsky index | CdTe, mono-Si, | |
31+ | | | poly-Si, CIGS, | [X] |
32+ | | | aSi | |
33+ +---------------------------------------------------------+--------------------------------------------------------------+-----------------+------------+
34+ | :py:func: `~pvlib.spectrum.spectral_factor_jrc ` | absolute airmass, clearsky index | CdTe, poly-Si | [X] |
35+ +---------------------------------------------------------+--------------------------------------------------------------+-----------------+------------+
36+ | :py:func: `~pvlib.spectrum.calc_spectral_mismatch_field ` | spectral response, spectral irradiance | - | [X] |
37+ +---------------------------------------------------------+--------------------------------------------------------------+-----------------+------------+
4038
41- link param(case of multiple?), list tech, parameterisation?
4239
4340References
4441----------
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