Open Source | |
License | ISC license |
Source code available | |
GitHub | |
Access to source code | https://github.com/balmorelcommunity/Balmorel/ |
Data provided | none |
Collaborative programming |
GitHub Organisation | ||
GitHub Contributions Graph |
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Modelling software | GAMS |
Internal data processing software | |
External optimizer | |
Additional software | |
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 | Elastic Demand | ||||||
Changes in efficiency | |||||||
Market models | - | ||||||
Geographical coverage | |||||||
Geographic (spatial) resolution |
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Time resolution | - | ||||||
Comment on geographic (spatial) resolution | Many resolutions possible with electricity modelled in regions and district heat modelled in areas which are submodules of the regions. One example: For EU-Nordic Model Application: Electricity modelled in grid regions (mostly Nordpool Spot and along major grid bottlenecks in Germany) Heat modelled in district heat areas with a higher resolution | ||||||
Observation period | <1 year, 1 year, >1 year, Typically one or more years, but also applied to parts of a year, e.g. a week | ||||||
Additional dimensions (sector) |
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Model class (optimisation) | LP, MILP |
Model class (simulation) | Bottom up |
Other | |
Short description of mathematical model class | The Balmorel core model is linear, but mixed-integer modelling may be applied, e.g. in order to represent economies of scale and unit commitment. |
Mathematical objective | CO2, costs, RE-share |
Approach to uncertainty | Deterministic, Stochastic |
Suited for many scenarios / monte-carlo | |
typical computation time | less than a day |
Typical computation hardware | Since Hardware and Model dimension differ significantly, the computation time ranges from seconds to days |
Technical data anchored in the model | Model Code and Data are kept separate |
Interfaces | |
Model file format | .gms |
Input data file format | text |
Output data file format | comes out as gdx, but .db (sqlite) or xlsx can also be chosen |
Integration with other models | Integration with the network flow model OptiFlow http://balmorel.com/index.php/downloadmodel/optiflow |
Integration of other models | Balmorel has several addons; which are supplied with the main model and can be turned on by the user if necessary, Examples are unit commitment; endogenous investments with discrete size units and flowbased transmission |
Citation reference | current published version: Ravn, Hans, & all other contributors. (2011, September 20). balmorelcommunity/balmorel v3.02 (Version v3.02). Zenodo. http://doi.org/10.5281/zenodo.823693 |
Citation DOI | 10.5281/zenodo.823692 |
Reference Studies/Models | http://balmorel.com/index.php/activities; http://balmorel.com/index.php/publications |
Example research questions | Least-cost climate emission reduction pathway for electricity and heat in the Nordic Countries: Technology Options, Robust Strategies, Grade of Electrification, Usage of Flexibility Options |
Model usage | DTU, NMBU, TTU, EA Energy Analysis, COWI, HOFOR, Danish Energy Association, Estonian Transmission System Operator Elering, Mexican Energy Minsitery, Eastern African Power Pool (EAPP), Sino-Danish Renewable Energy Development (RED) programme |
Model validation |
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Example research questions | Least-cost climate emission reduction pathway for electricity and heat in the Nordic Countries: Technology Options, Robust Strategies, Grade of Electrification, Usage of Flexibility Options |
further properties | Simultaneous endogenous optimization and economic dispatch; price dependent consumption |
Model specific properties | strong in representation of district heat; flexible handling of time segmentation |