urbs (urbs)

MODEX

Basic Information

Name urbs
Acronym urbs
Methodical Focus open source , expansion planning , dispatch optimization
Institution(s) Chair of Renewable and Sustainable Energy Systems (TUM-ENS)
Author(s) (institution, working field, active time period)
Current contact person
Contact (e-mail) ens@ei.tum.de
Website https://github.com/tum-ens/urbs
Logo
Primary Purpose
Support / Community / Forum
Framework
Link to User Documentation http://urbs.readthedocs.io/en/latest/
Link to Developer/Code Documentation
Documentation quality expandable
Source of funding
Number of devolopers less than 10
Number of users less than 100

Openness

Open Source
License GNU GPL Licence
Source code available
GitHub
Link to source code https://github.com/tum-ens/urbs
Data provided some
Cooperative programming
GitHub Contributions Graph

Software

Modelling software Python; Pyomo
Internal data processing software Pandas (Python)
External optimizer
Additional software
GUI

References

Citation reference
Citation DOI 10.5281/zenodo.594200
Please list references to reports and studies which were produced using the model
Larger scale usage

Design and Interface

Modeled demand sectors -
Link to API documentation
API to openmod database
Points/degree of abstraction
Models using this framework urbs Bavaria

If you find bugs or if you have ideas to improve the Open Energy Platform, you are welcome to add your comments to the existing issues on GitHub.
You can also fork the project and get involved.

Please note that the platform is still under construction and therefore the design of this page is still highly volatile!

Fact Sheet objectives: The Fact Sheets are made to...
  • Find models/frameworks for your needs or just get an overview about the existing ones
  • Compare a selection of models for different purposes - e.g. to develop a strategy to link them
  • Store your model/framework information to provide transparency
More info here
Use case example model Fact Sheet: For a European pathway simulation (EPS) we want to choose the models that best meet our requirements. All partners include their models in the Model Fact Sheets and tag them with “EPS”. To compare the models we filter all “EPS” models and choose different characteristics that we want to compare. OEP will give us tables (views) that facilitate the comparison.