General information

Authors

Babu Kumaran Nalini, Zhengjie You, Michel Zadé

Organization

Chair of Energy Economy and Application Technology, Technical University of Munich

Version

1.0

Date

01.06.2021

DOI

10.5281/zenodo.4251512

Copyright

The model code is licensed under the GNU General Public License 3.0.

Description

An open-source python-based flexibility model to quantify and price the flexibility of household devices.

  • uses mixed-integer linear programming (MILP) to obtain cost-optimal operational schedules for household devices.

  • calculates the flexibility potential and flexibility prices based on price, weather, generation and load forecasts of household devices.

  • supports the following devices: PV, battery storage systems (BSS), electric vehicles (EV), heat pumps (HP), combined heat and power (CHP) units.

  • outputs flexibility offers for each household device in formats that can be used in flexibility markets (e.g. comax by Tennet or ALF by FfE e.V.)

Changes

14.06.2021 - documentation release

Dependencies

  • Python IDE: Spyder or Pycharm

  • Virtual environment: Please check environment_v1.0.yml

  • Solver suggestions: glpk , cplex or any MILP solvers supported by Pyomo