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Kimber Soiling Model
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====================
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- Examples of soiling using the Kimber model [1]_.
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-
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- References
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- ----------
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- .. [1] "The Effect of Soiling on Large Grid-Connected Photovoltaic Systems
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- in California and the Southwest Region of the United States," Adrianne
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- Kimber, et al., IEEE 4th World Conference on Photovoltaic Energy
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- Conference, 2006, :doi:`10.1109/WCPEC.2006.279690`
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+ Examples of soiling using the Kimber model.
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"""
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# %%
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- # This example shows basic usage of pvlib's Kimber Soiling model with
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+ # This example shows basic usage of pvlib's Kimber Soiling model [1]_ with
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# :py:meth:`pvlib.losses.soiling_kimber`.
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#
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+ # References
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+ # ----------
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+ # .. [1] "The Effect of Soiling on Large Grid-Connected Photovoltaic Systems
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+ # in California and the Southwest Region of the United States," Adrianne
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+ # Kimber, et al., IEEE 4th World Conference on Photovoltaic Energy
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+ # Conference, 2006, :doi:`10.1109/WCPEC.2006.279690`
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+ #
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# The Kimber Soiling model assumes that soiling builds up at a constant rate
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# until cleaned either manually or by rain. The rain must reach a threshold to
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# clean the panels. When rains exceeds the threshold, it's assumed the earth is
Original file line number Diff line number Diff line change @@ -534,7 +534,7 @@ def fix_tmy3_coerce_year_monotonicity(tmy3):
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Fix TMY3 coerced to a single year to be monotonically increasing by
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changing the last record to be in January 1st of the next year.
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- Paramaters
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+ Parameters
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----------
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tmy3 : pandas.DataFrame
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TMY3 data frame from :func:`pvlib.iotools.read_tmy3` with year coearced
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