2. The PVLab Project¶
Introduction¶
PVLAB is a project devoted to the development and improvement of scientific
software for the measurement, calibration and modeling of the performance of
photovoltaic devices and solar sensors. PVLAB package was born from the efforts
made to perform the data treatment during the calibration of pyranometers at
the Laboratory of Photovoltaic Solar Energy (PVLab) (http://pvlab.ciemat.es/home)
of the Research Center
for Energy, Environment and Technology (CIEMAT)
in Madrid, Spain.
In next releases, pvlab
will provide sets of tools,
mainly consisting in classes and functions,
to perform the data treatment for the calibration of
pyranometers and other type of solar sensors and photovoltaic devices.
Eventually, pvlab
will try to widen its scope to further calibration
procedures of solar sensors and photovoltaic devices.
History¶
The origin of pvlab
is a python tool, named calibration
, developed in
2019 in PVLab-CIEMAT for its own use.
It was originally designed to manage the big amount of data
generated during the outdoor measurements, while performing the routine
calibration of pyranometers.
Soon, both the python programming language and the calibration
tool
themselves proved to be quick and reliable methods for data treatment.
Gradually, the code grew in complexity, whereas new functionalities were
enabled. Indeed, to the basic requirements of data I/O and a first block
of calculations, some others joined, like fine data-filtering, tools
developed to generate reports, graphics and further calibration records.
Finally, when it was concluded the development of the version 2.0.0 of the
application calibration
, it made us clear that a formal package should
be released, separately from the former tool. By doing so, some of the
resources created are now at disposal of the community, under a 3-clause
BSD License.
The path chosen for the development of pvlab
is that,
as functions and classes created for its use at the lab are being adapted
from their specific purpose to more general cases, and it is proved their
robustness and performance, they will be progresively incorporated to the
pvlab
library. In order to clarify the features and abilities of the
objects created, docstrings of relevant functions or classess contain
examples, which have been verified with the python built-in
package doctest
.