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| |contact_persons=Stefan Pfenninger | | |contact_persons=Stefan Pfenninger |
| |contact_email=stefan.pfenninger@usys.ethz.ch | | |contact_email=stefan.pfenninger@usys.ethz.ch |
− | |website=http://www.callio.pe/ | + | |website=https://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 |
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| |montecarlo=No | | |montecarlo=No |
| |computation_time_comments=user-dependent | | |computation_time_comments=user-dependent |
− | |citation_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. | + | |citation_references=Pfenninger and Pickering (2018). Calliope: a multi-scale energy systems modelling framework. Journal of Open Source Software, 3(29), 825 |
− | |citation_doi=10.1016/j.apenergy.2015.04.102 | + | |citation_doi=10.21105/joss.00825 |
| |Model input file format=No | | |Model input file format=No |
| |Model file format=No | | |Model file format=No |
| |Model output file format=No | | |Model output file format=No |
| }} | | }} |
Revision as of 12:15, 26 September 2019
Calliope
by ETH Zürich, University of Cambridge
Authors: Stefan Pfenninger, Bryn Pickering
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
Pfenninger and Pickering (2018). Calliope: a multi-scale energy systems modelling framework. Journal of Open Source Software, 3(29), 825
https://dx.doi.org/10.21105/joss.00825
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