A multi-scale energy systems modelling framework | www.callio.pe
Calliope is a framework to develop energy system models, with a focus on flexibility, high spatial and temporal resolution, the ability to execute many runs based on the same base model, and a clear separation of framework (code) and model (data). Its primary focus is on planning energy systems at scales ranging from urban districts to entire continents. In an optional operational mode it can also test a pre-defined system under different operational conditions.
A Calliope model consists of a collection of text files (in YAML and CSV formats) that fully define a model, with details on technologies, locations, resource potentials, etc. Calliope takes these files, constructs an optimization problem, solves it, and reports back results. Results can be saved to CSV or NetCDF files for further processing, or analysed directly in Python through Python's extensive scientific data processing capabilities provided by libraries like Pandas and xarray.
Model results can be explored interactively with Calligraph, our companion visualisation tool. Having some knowledge of the Python programming language helps when running Calliope, but is not a prerequisite.
Calliope can run on Windows, macOS and Linux.
It can be installed using pixi (pixi add calliope), conda (conda install calliope), or uv (uv pip install calliope).
For local development, use pixi as described in the documentation.
See the documentation for more information on installing.
Several easy to understand example models are included with Calliope and accessible through the calliope.examples submodule.
The tutorials in the documentation run through these examples. A good place to start is to look at these tutorials to get a feel for how Calliope works, and then to read the "Getting Started" pages in the online documentation.
More fully-featured examples that have been used in research, teaching and practice, are available in our showcase.
Documentation is available on Read the Docs.
See our documentation for more on how to contribute to Calliope.
See changes made in recent versions in the changelog.
If you use Calliope for academic work please cite:
Stefan Pfenninger and Bryn Pickering (2018). Calliope: a multi-scale energy systems modelling framework. Journal of Open Source Software, 3(29), 825. doi: 10.21105/joss.00825
Copyright since 2013 Calliope contributors listed in AUTHORS
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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This project follows the all-contributors specification. Contributions of any kind welcome!
