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| | {{Model | | {{Model |
| | |Full_Model_Name=Balmorel | | |Full_Model_Name=Balmorel |
| | + | |author_institution=RAM-løse, DTU |
| | + | |authors=Hans Ravn |
| | + | |website=http://balmorel.com/ |
| | + | |source_download=https://github.com/balmorelcommunity/Balmorel |
| | + | |text_description=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. |
| | + | |User documentation=https://github.com/balmorelcommunity/Balmorel/tree/master/base/documentation |
| | + | |Code documentation=https://github.com/balmorelcommunity/Balmorel/tree/master/base/documentation |
| | |open_source_licensed=Yes | | |open_source_licensed=Yes |
| | + | |license=ISC License (ISC) |
| | |model_source_public=Yes | | |model_source_public=Yes |
| − | |data_availability=some | + | |Link to source=https://github.com/balmorelcommunity/Balmorel |
| | + | |data_availability=all |
| | |open_future=Yes | | |open_future=Yes |
| − | |model_class=GAMS | + | |modelling_software=GAMS |
| − | |is_suited_for_many_scenarios=No | + | |processing_software=Excel, Python (Pandas) |
| | + | |External optimizer=All those supported by GAMS |
| | + | |GUI=No |
| | + | |model_class=Energy System Model |
| | + | |sectors=User-dependent |
| | + | |technologies=Renewables, Conventional Generation, CHP |
| | + | |Demand sectors=Households, Industry, Transport, Commercial sector, Other |
| | + | |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen |
| | + | |Energy carrier (Liquid)=Diesel, Ethanol, Petrol |
| | + | |Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium |
| | + | |Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind |
| | + | |Transfer (Electricity)=Transmission |
| | + | |Transfer (Gas)=Transmission |
| | + | |Transfer (Heat)=Distribution, Transmission |
| | + | |Storage (Electricity)=Battery, CAES, Chemical, PHS |
| | + | |Storage (Gas)=Yes |
| | + | |Storage (Heat)=Yes |
| | + | |decisions=dispatch, investment |
| | + | |georegions=User-dependent (Pan-European, applied in 20+ countries) |
| | + | |georesolution=Hierarchical: countries, regions, areas |
| | + | |timeresolution=Hour |
| | + | |network_coverage=transmission, DC load flow, net transfer capacities |
| | + | |math_modeltype=Optimization |
| | + | |math_modeltype_shortdesc=Linear programming (with an option of mixed-integer programming) |
| | + | |math_objective=Social welfare maximization |
| | + | |deterministic=Deterministic, perfect foresight, global sensitivity analysis |
| | + | |is_suited_for_many_scenarios=Yes |
| | + | |number_of_variables=1,000,000+ |
| | + | |montecarlo=Yes |
| | + | |computation_time_minutes=Variable |
| | + | |computation_time_comments=model- and hardware-dependent |
| | + | |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. |
| | + | |report_references=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 |
| | + | |Model input file format=No |
| | + | |Model file format=No |
| | + | |Model output file format=No |
| | }} | | }} |
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.
