Cronian
Cronian is a Python package for building copper plate optimization models in Pyomo to optimize flexibility scheduling in multi-carrier integrated energy systems, which are specified through simple YAML and CSV files.
Annular is a setup for running coupled energy system models with the aim of modeling flexibility scheduling and the policy regulations that affect the behavior of flexibility providers.
Annular is a setup for running coupled energy system models with the aim of modeling flexibility scheduling and the policy regulations that affect the behavior of flexibility providers.
Documentation can be found at annular.readthedocs.io.
Why the name 'annular'?
'Annular' means 'in the shape of a ring', with which we specifically think of the rings of Saturn, containing many moons or in other words satellites, just like the satellite models interacting with the central market model.
You can install annular directly from PyPI:
# Best practice: install in a virtual environment
python3 -m venv .venv
source .venv/bin/activate # Use `source .venv/Scripts/activate` on Windows
python3 -m pip install annular
Then you can use annular on the command line to run coupled simulations specified by config files.
annular run examples/data/energy_model_coupling.ymmsl
Result files will appear in a results/<CONFIG_FILE_NAME>/ folder, where
<CONFIG_FILE_NAME> is the name of the given configuration file.
See the built-in help for further details:
$ annular run --help
usage: annular run [-h] [--verbose] [-o OUTPUT] config_files [config_files ...]
positional arguments:
config_files Configuration files to run simulations for.
options:
-h, --help show this help message and exit
--verbose, -v Controls the level of verbosity in the logging output: -v for INFO, -vv for DEBUG
-o, --output OUTPUT Output directory
See the documentation for further explanation and examples.
If you want to contribute to the development of annular, have a look at the contribution guidelines.
Further instructions can be found inREADME.dev.md
For citation information, see CITATION.cff
This package was created with Cookiecutter and the NLeSC/python-template.
Designing and modelling future systems of energy systems
Cronian is a Python package for building copper plate optimization models in Pyomo to optimize flexibility scheduling in multi-carrier integrated energy systems, which are specified through simple YAML and CSV files.
This package provides an optimization model for the electricity market and its coupling with other energy sectors. The objective is to determine the optimal investment and operation decisions for different types of assets.