venco.py

A tool to derive battery electric vehicle energy demands from given trip data. venco.py provides normalized, aggregated electric vehicle fleet demand profiles for two cases: Uncontrolled charging and a technical (mobility-constrained) potential for controlled charging including vehicle-to-grid.

12
mentions
6
contributors

What venco.py can do for you

Future electric vehicle fleets pose both challenges and opportunities for power systems. While increased power demand from transport electrification necessitates expansion of power supply, vehicle batteries can to a certain degree shift their charging load to times of high availability of power. The model-adequate description of power demand from future plug-in electric vehicle fleets is a pre-requisite for modelling sector-coupled energy systems and drawing respective policy-relevant conclusions. Vehicle Energy Consumption in Python (venco.py) is a tool that provides boundary conditions for load shifting and vehicle-to-grid potentials based on transport demand data and techno-economic assumptions. It has been applied to various national travel surveys to derive hourly load-shifting constraining profiles for the energy system optimization model REMix.

Keywords
Programming language
  • Python 100%
License
  • BSD-3-Clause
</>Source code
Packages
pypi.org

Participating organisations

German Aerospace Center (DLR)

Reference papers

Mentions

Contributors

NW
Niklas Wulff
BF
Benjamin Fuchs
PB
Parth Butte
Developer

Related software

REMix

RE

REMix is a powerful software for energy systems optimization. It can be used for the planning and techno-economical assessment of future multi-energy systems of any spatial, temporal and technological scope. REMix offers a wide range of methods and features that can be flexibly selected by the user.

Updated 1 month ago
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