Open Source | |
Planned to open up in the future | |
Costs | - |
Modelling software | Python, Matlab, R |
Internal data processing software | Matlab, R |
External optimizer | |
Additional software | ArcGIS, QGIS |
GUI |
Modeled energy sectors (final energy) |
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Modeled demand sectors |
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Modeled technologies: components for power generation or conversion |
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Modeled technologies: components for transfer, infrastructure or grid |
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Properties electrical grid |
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Modeled technologies: components for storage |
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User behaviour and demand side management | |||||||
Changes in efficiency | |||||||
Market models | - | ||||||
Geographical coverage | |||||||
Geographic (spatial) resolution |
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Time resolution | 10 years | ||||||
Comment on geographic (spatial) resolution | Spatial resolution from 25 m - 1 km or user defined | ||||||
Observation period | >1 year, user-defined | ||||||
Additional dimensions (sector) |
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Model class (optimisation) | - |
Model class (simulation) | - |
Other | |
Short description of mathematical model class | |
Mathematical objective | - |
Approach to uncertainty | - |
Suited for many scenarios / monte-carlo | |
typical computation time | less than a second |
Typical computation hardware | RAM |
Technical data anchored in the model | - |
Interfaces | |
Model file format | .txt, .py, .r |
Input data file format | .m |
Output data file format | .m |
Integration with other models | |
Integration of other models | OSeMOSYS is used as a modelling tool in the model and is one of the part. Model has ability to run OSeMOSYS n times with different scenarios |