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| | |number_of_variables=1,000,000+ | | |number_of_variables=1,000,000+ |
| | |montecarlo=Yes | | |montecarlo=Yes |
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| | |citation_references=Wiese, Frauke, Rasmus Bramstoft, Hardi Koduvere, Amalia Rosa Pizarro Alonso, Olexandr Balyk, Jon Gustav Kirkerud, Åsa Grytli Tveten, Torjus Folsland Bolkesjø, Marie Münster, and Hans V. Ravn. “Balmorel Open Source Energy System Model.” Energy Strategy Reviews 20 (2018): 26–34. | | |citation_references=Wiese, Frauke, Rasmus Bramstoft, Hardi Koduvere, Amalia Rosa Pizarro Alonso, Olexandr Balyk, Jon Gustav Kirkerud, Åsa Grytli Tveten, Torjus Folsland Bolkesjø, Marie Münster, and Hans V. Ravn. “Balmorel Open Source Energy System Model.” Energy Strategy Reviews 20 (2018): 26–34. |
| | |citation_doi=10.1016/j.esr.2018.01.003. | | |citation_doi=10.1016/j.esr.2018.01.003. |
Revision as of 11:29, 1 March 2024
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Balmorel
by RAM-løse, DTU
Authors:
Hans Ravn
Contact:
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Balmorel is a deterministic, partial equilibrium model for optimizing an energy system. The optimization maximizes the social welfare of the energy system. The model optimizes both investments and operational dispatch under physical and regulatory constraints.
Based on GAMS. Using Excel, Python (Pandas) for data processing.
Website / Documentation
Download
|
 Open Source
ISC License (ISC)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Energy System Model
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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 (Pan-European, applied in 20+ countries)
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| Geographic Resolution
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Hierarchical: countries, regions, areas
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| Time resolution
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Hour
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| Network coverage
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transmission, DC load flow, net transfer capacities
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| Model type
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Optimization
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Linear programming (with an option of mixed-integer programming)
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| Variables
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1,000,000+"+" is not declared as a valid unit of measurement for this property.
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| Computation time
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minutes
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| Objective
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Social welfare maximization
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| Uncertainty modeling
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Deterministic, perfect foresight, global sensitivity analysis
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Wiese, Frauke, Rasmus Bramstoft, Hardi Koduvere, Amalia Rosa Pizarro Alonso, Olexandr Balyk, Jon Gustav Kirkerud, Åsa Grytli Tveten, Torjus Folsland Bolkesjø, Marie Münster, and Hans V. Ravn. “Balmorel Open Source Energy System Model.” Energy Strategy Reviews 20 (2018): 26–34.
https://dx.doi.org/10.1016/j.esr.2018.01.003.
Reports produced using the model
H. Ravn et al.: Balmorel: A Model for Analyses of the Electricity and CHP Markets in the Baltic Sea Region (2001), http://www.eabalmorel.dk/files/download/Balmorel%20A%20Model%20for%20Analyses%20of%20the%20Electricity%20and%20CHP%20Markets%20in%20the%20Baltic%20Sea%20Region.pdf
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