Emobility in Python (emobpy) & Vehicle Energy Consumption in Python (VencoPy). Demonstration of two Open Source tools describing electric vehicle energy demand. Supplementary JuPyteR notebooks
| Main Author: | Wulff, Niklas |
|---|---|
| Format: | info software Journal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3856025 |
Daftar Isi:
- 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.