Electronic Annexes

Self-Consumption and solar home batteries

Description

This release is used as electronic annex of the following publication:
S. Quoilin, K. Kavvadias, A. Mercier, I. Pappone, A. Zucker, Quantifying self-consumption linked to solar home battery systems: statistical analysis and economic assessment, Applied Energy, 2016

The code is written in Python (v2.7). The data is saved as pandas dataframes within pickle or hdf files.

The toolbox computes self-consumption indicators for different PV and household demand profiles. Some profiles are historical measured profiles, some others are reconstructed from typical daily profiles. Due to the diversity of consumption patterns, the results can vary significantly from one household to the other.

Main developper

Sylvain Quoilin
Researcher at the European Commission (JRC).
E-mail: sylvain.quoilin@ec.europa.eu - Twitter: @squoilin

Licence

This is a free software licensed under the “European Union Public Licence" EUPL v1.1. It
can be redistributed and/or modified under the terms of this license.

Getting started

To get familiar with the different function of the toolbox, it is recommended to read the description and run the files with the suffix "Example" in the "SC_ToolBox" folder.

The database of synthetic household profiles is stored as binary finale together with this release.