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27 | 27 | # Calculating the incident and modified global irradiance |
28 | 28 | # ------------------------------------------------------- |
29 | 29 | # |
30 | | -# This mismatch modifier is applied to the irradiance components, so first |
31 | | -# step is to get them. We define an hypothetical POA surface and use a TMY to |
32 | | -# compute them from a TMY. |
| 30 | +# Mismatch modifiers are applied to the irradiance components, so first |
| 31 | +# step is to get them. We define an hypothetical POA surface and use TMY to |
| 32 | +# compute sky diffuse, ground reflected and direct irradiance. |
33 | 33 |
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34 | 34 | import matplotlib.pyplot as plt |
35 | 35 | from pvlib import spectrum, irradiance, iotools, location |
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78 | 78 | poa_sky_diffuse, poa_ground_diffuse) |
79 | 79 |
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80 | 80 | # %% |
81 | | -# Here comes the modifier. Let's calculate it with the airmass and clearness |
| 81 | +# Here come the modifiers. Let's calculate them with the airmass and clearness |
82 | 82 | # index. |
83 | 83 | # First, let's find the airmass and the clearness index. |
84 | 84 | # Little caution: default values for this model were fitted obtaining the |
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96 | 96 | # %% |
97 | 97 | # And then we can find the 3 modified components of the POA irradiance |
98 | 98 | # by means of a simple multiplication. |
99 | | -# Note, however, that neither this does modify ``poa_global`` nor |
| 99 | +# Note, however, that this does not modify ``poa_global`` nor |
100 | 100 | # ``poa_diffuse``, so we should update the dataframe afterwards. |
101 | 101 |
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102 | 102 | poa_irrad_modified = poa_irrad * spectral_modifiers |
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