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| {{Model | | {{Model |
| |Full_Model_Name=Calliope | | |Full_Model_Name=Calliope |
− | |author_institution=Imperial College London | + | |author_institution=ETH Zürich |
| |authors=Stefan Pfenninger | | |authors=Stefan Pfenninger |
| |contact_persons=Stefan Pfenninger | | |contact_persons=Stefan Pfenninger |
− | |contact_email=s.pfenninger12@imperial.ac.uk | + | |contact_email=stefan.pfenninger@usys.ethz.ch |
| |website=http://www.callio.pe/ | | |website=http://www.callio.pe/ |
| |source_download=https://github.com/calliope-project/calliope | | |source_download=https://github.com/calliope-project/calliope |
| |logo=calliope logo.png | | |logo=calliope logo.png |
| |text_description=Calliope is a framework to develop energy system models using a modern and open source Python-based toolchain. It is under active development and freely available under the Apache 2.0 license. | | |text_description=Calliope is a framework to develop energy system models using a modern and open source Python-based toolchain. It is under active development and freely available under the Apache 2.0 license. |
| + | |
| + | Feedback and contributions are very welcome! |
| |open_source_licensed=Yes | | |open_source_licensed=Yes |
| |license=Apache License 2.0 (Apache-2.0) | | |license=Apache License 2.0 (Apache-2.0) |
| |model_source_public=Yes | | |model_source_public=Yes |
| |data_availability=some | | |data_availability=some |
− | |open_future=No | + | |open_future=Yes |
| |modelling_software=Python (Pyomo) | | |modelling_software=Python (Pyomo) |
| |processing_software=Python (pandas et al) | | |processing_software=Python (pandas et al) |
Revision as of 08:49, 11 May 2016
Calliope
by ETH Zürich
Authors: Stefan Pfenninger
Contact: Stefan Pfenninger
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Calliope is a framework to develop energy system models using a modern and open source Python-based toolchain. It is under active development and freely available under the Apache 2.0 license.
Feedback and contributions are very welcome!
Based on Python (Pyomo). Using Python (pandas et al) for data processing.
Website / Documentation
Download
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Open Source Apache License 2.0 (Apache-2.0)
Directly downloadable
Some input data shipped
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Model Scope |
Model type and solution approach |
Model class
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Framework
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Sectors
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User-dependent
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Technologies
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Renewables, Conventional Generation, CHP
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Decisions
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dispatch, investment
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Regions
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User-dependent
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Geographic Resolution
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User-dependent
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Time resolution
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Hour
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Network coverage
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net transfer capacities
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Model type
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Optimization
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Variables
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Computation time
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minutes (user-dependent)
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Objective
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Costs or user-dependent
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Uncertainty modeling
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Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Stefan Pfenninger and James Keirstead. 2015. Renewables, nuclear, or fossil fuels? Scenarios for Great Britain's power system considering costs, emissions and energy security. Applied Energy, 152, pp. 83–93.
https://dx.doi.org/10.1016/j.apenergy.2015.04.102
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