pvcompare is a model that compares the benefits of different PV technologies in a specified energy system by running an energy system optimization. This model concentrates on the integration of PV technologies into local energy systems but could easily be enhanced to analyse other conversion technologies.
The functionalities include
calculation of an area potential for PV on rooftops and faades based on building parameters,
calculation of heat and electricity demand time series for a specific amount of people living in these buildings,
calculation of PV feed-in time series for a set of PV installations on rooftops and faades incl. different technologies,
calculation of temperature dependent COPs or respectively EERs for heat pumps and chillers,
download and formatting of ERA5 weather data (global reanalysis data set),
preparation of data and input files for the energy system optimization,
a sensitivity analysis for input parameters and
visualisations for the comparison of different technologies.
The model is being developed within the scope of the H2020 project GRECO. The energy system optimization is based on the oemof-solph python package, which pvcompare calls via the Multi-Vector Simulator (MVS), a tool for assessing and optimizing Local Energy Systems (LES).
The full documentation can be found at readthedocs.
To install pvcompare follow these steps:
git clone [email protected]:greco-project/pvcompare.git cd pvcompare
pip install -e .