pvmodule 0.0.7

A library used to simulate photovoltaic energy production using PVGIS

pvmodule

This library is a work in progress where the main objective is to create an easy to use and complete library to simulate photovoltaic energy production throughout multiple scenarios.

Defining the location

>>> from pvmodule.location import Location
>>> from pvmodule.pvgis import PVGIS

>>> Location = Location()
>>> location = Location.set_location('Lisbon')

>>> print(location.name)
Lisboa, Portugal

>>> print(location.timezone)
Europe/Lisbon

>>> print(location.latitude)
38.7077507

>>> print(location.longitude)
-9.1365919

>>> print(location.elevation)
10.93380069732666

Retrieving Hourly data from PVGIS

>>> from pvmodule.location import Location
>>> from pvmodule.pvgis import PVGIS

>>> Location = Location()
>>> location = Location.set_location('Oeiras')

>>> PVGIS = PVGIS()
>>> input, output, meta = PVGIS.retrieve_hourly(
                                            latitude=location.latitude, 
                                            longitude=location.longitude
                                            )
>>> print(output)

                     G(i)  H_sun    T2m  WS10m  Int
time                                               
2005-01-01 00:10:00   0.0    0.0  11.29   3.86  0.0
2005-01-01 01:10:00   0.0    0.0  11.19   4.14  0.0
2005-01-01 02:10:00   0.0    0.0  11.08   4.07  0.0
2005-01-01 03:10:00   0.0    0.0  10.94   3.66  0.0
2005-01-01 04:10:00   0.0    0.0  10.84   3.24  0.0
...                   ...    ...    ...    ...  ...
2020-12-31 19:10:00   0.0    0.0  12.50   8.28  0.0
2020-12-31 20:10:00   0.0    0.0  12.12   8.34  0.0
2020-12-31 21:10:00   0.0    0.0  11.58   8.48  0.0
2020-12-31 22:10:00   0.0    0.0  11.41   8.28  0.0
2020-12-31 23:10:00   0.0    0.0  11.36   8.14  0.0

[140256 rows x 5 columns]

Retrieving daily data from PVGIS (July)

>>> from pvmodule.location import Location
>>> from pvmodule.pvgis import PVGIS

>>> Location = Location()
>>> location = Location.set_location('Oeiras')

>>> PVGIS = PVGIS()
>>> input, output, meta = PVGIS.retrieve_daily(
                                           latitude=location.latitude, 
                                           longitude=location.longitude,
                                           month=6
                                           )
>>> print(output)

       month    G(i)   Gb(i)   Gd(i)    T2m
time                                       
00:00      6    0.00    0.00    0.00  17.49
01:00      6    0.00    0.00    0.00  17.35
02:00      6    0.00    0.00    0.00  17.21
03:00      6    0.00    0.00    0.00  17.09
04:00      6    0.00    0.00    0.00  16.98
05:00      6    0.00    0.00    0.00  16.91
06:00      6   88.17   36.65   51.52  16.97
07:00      6  244.22  136.17  108.05  17.53
08:00      6  406.34  251.83  154.51  18.42
09:00      6  560.33  366.56  193.77  19.39
10:00      6  691.23  479.46  211.78  20.29
11:00      6  788.61  558.10  230.51  21.05
12:00      6  869.24  632.05  237.19  21.59
13:00      6  877.81  644.56  233.24  21.88
14:00      6  828.50  609.14  219.36  21.92
15:00      6  738.56  540.56  198.01  21.75
16:00      6  594.07  420.05  174.01  21.38
17:00      6  426.24  280.32  145.91  20.88
18:00      6  244.49  141.33  103.16  20.25
19:00      6   82.36   35.16   47.20  19.45
20:00      6    0.00    0.00    0.00  18.68
21:00      6    0.00    0.00    0.00  18.18
22:00      6    0.00    0.00    0.00  17.90
23:00      6    0.00    0.00    0.00  17.69

Retrieving Monthly data from PVGIS (July)

>>> from pvmodule.location import Location
>>> from pvmodule.pvgis import PVGIS

>>> Location = Location()
>>> location = Location.set_location('Oeiras')

>>> PVGIS = PVGIS()
>>> input, output, meta = PVGIS.retrieve_monthly(
                                            latitude = location.latitude,
                                            longitude = location.longitude,
                                            startyear=2020,
                                            endyear=2020
                                            )
>>> print(output)

    year  month  H(h)_m  Hb(n)_m    Kd   T2m
0   2020      1   71.23   107.98  0.42  12.8
1   2020      2   98.98   131.26  0.38  13.8
2   2020      3  147.58   168.06  0.36  13.7
3   2020      4  157.34   145.53  0.42  14.8
4   2020      5  218.93   220.23  0.31  18.1
5   2020      6  231.53   235.23  0.30  18.7
6   2020      7  244.94   261.47  0.26  21.2
7   2020      8  208.59   217.80  0.30  20.6
8   2020      9  159.27   167.80  0.36  20.3
9   2020     10  117.98   143.74  0.39  17.1
10  2020     11   68.78    81.66  0.52  15.4
11  2020     12   63.66    93.93  0.46  12.9