Abstract—This paper details the development of the pvpaR
(PV Performance Analysis in R) web application built on opensource
technologies for the automated and user-friendly evaluation
of photovoltaic (PV) system performance and identification
and classification of faults. pvpaR’s ecosystem is based on the R
statistical computing project, both for the back-end as well as for
the front-end which uses the Shiny web application framework.
Currently, the core of the application incorporates models for
synthesizing time-series of irradiance, module temperature, PV
system voltage, current, DC and AC power. These are used
to validate the imported field measurements and create the
comparison which the fault identification function is dependent
upon. The web application can currently import measurements
from flat files and databases. It has been released under the
GNU Affero GPL license to encourage contributions, with the
goal to become a useful tool for the PV community and PV
system owners.
Index Terms—photovoltaic systems, performance analysis,
fault identification, reliability, open-source.