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Vehicle Energy Consumption in Python: A tool to simulate load flexibility of electric vehicle fleets.

Project description

Welcome to venco.py!

Contents

Description

A data processing tool estimating hourly electric demand and flexibility profiles for future electric vehicle fleets. Profiles are targeted to be scalable for the use in large-scale energy system models.

Installation

Depending on if you want to use venco.py or if you want to contribute, there are two different installation procedures described in venco.py's documentation:

I want to apply the tool

I want to contribute to the codebase, the documentation or the tutorials

In order to start using venco.py, check out our tutorials. For this you won't need any additional data.

To run venco.py in full mode, you will need the data set Mobilität in Deutschland (German for "mobility in Germany"). You can request it here from the clearingboard transport: https://daten.clearingstelle-verkehr.de/order-form.html Alternatively you can use venco.py with any National Travel Survey or mobility pattern dataset.

Codestyle

We use PEP-8, with the exception of UpperCamelCase for class names.

Documentation

The documentation can be found here: https://dlr-ve.gitlab.io/esy/vencopy/vencopy/ To be able to build the documentation locally on your machine you should additionally install the following three packages in your vencopy environment : sphinx, sphinx_rtd_theme and rst2pdf. After that you can build the documentation locally from a conda bash with the following command:

sphinx-build -b html ./docs/ ./build/

Useful Links

Want to contribute?

Please read our contribute section in the documentation and reach out to Fabia (fabia.miorelli@dlr.de). If you experience difficulties on set up or have other technical questions, join our gitter community

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