Institutions
The Calliope team also leads these related projects, which we often use to generate input data for Calliope-based models:
- Renewables.ninja generates time series of solar and wind power generation as well as of space heating and cooling demand globally, using carefully validated and bias-corrected simulation models
- RAMP is a software suite for the stochastic simulation of user-driven energy demand time series, for example, domestic hot water or electric vehicle charging demand.
Calliope has been used in a variety of published studies on topics ranging from operational studies on small-scale urban districts to continent-wide decarbonisation scenarios. It is extensively tested and has withstood the test of peer review many times (see the list of publications below), so can serve as a solid foundation on top of which to rapidly develop a problem-specific model. Calliope is used not just in academic research, but also by commercial partners.
→ Read more...Quick start
- Installing is easiest with the Conda package manager by running a single command on any of Windows, macOS or Linux:
conda create -c conda-forge -n calliope calliope. See the documentation for more information on installing. - Simple examples are included with Calliope; the tutorials in the documentation run through these examples.
- A good place to start is to look at the tutorials to get a feel for how Calliope works, and then to read the “Introduction”, “Building a model”, “Running a model”, and “Analysing a model” sections in the online documentation.
- Finally, looking at more fully-featured models used in real studies is a good basis to get started with your own projects — browse the research page for a range of information on work with Calliope, much of which uses freely available models that you can take as a starting point for your own project.
Citing Calliope
Please cite the following paper if you use Calliope for academic research:
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