Emobility in Python (emobpy) & Vehicle Energy Consumption in Python (VencoPy). Demonstration of two Open Source tools describing electric vehicle energy demand. Supplementary JuPyteR notebooks.

Energy system modeling increasingly includes electric vehicle fleets both as additional electric demands and as a source of flexibility for load-shifting since approximately 10 years. Recently, tools for calculating electricity demand and flexibility profiles are opening up, fulfilling a pre-requisite for easy reproducibility of research results. Two tools that are used for the analysis of sector-coupling effects between electricity and transport sector are emobpy (developed by Carlos Gaete at DIW) and VencoPy (developed by Niklas Wulff at DLR-TT). The Notebooks provide demonstrations of both tools. The emobpy notebook is a visualized representation of the emobpy demonstration at openmod in Berlin Jan/2020. It has to be executed in the following link of the repository: \emobpy_repository\emobpy_examples\openmod\ It requires jupyter notebooks (https://jupyter.readthedocs.io/en/latest/install.html#installing-jupyter-using-anaconda-and-conda) and RISE (https://rise.readthedocs.io/en/5.2.0/installation.html#installation) to be installed in your python environment.VencoPy code is available upon request from niklas.wulff@dlr.de before June 2020, afterwards, VencoPy will be published Open Source