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| | {{Model | | {{Model |
| | |Full_Model_Name=Balmorel | | |Full_Model_Name=Balmorel |
| − | |author_institution=RAM-lose | + | |author_institution=RAM-løse, DTU |
| | |authors=Hans Ravn | | |authors=Hans Ravn |
| | |website=http://balmorel.com/ | | |website=http://balmorel.com/ |
| − | |source_download=http://www.eabalmorel.dk/files/DownloadModeletc/Balmorel302Download.zip | + | |source_download=https://github.com/balmorelcommunity/Balmorel |
| − | |text_description=Balmorel is a model for analysing the electricity and combined heat and power sectors in an international perspective. It is highly versatile and may be applied for long range planning as well as shorter time operational analysis. | + | |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 |
| | + | |Link to source=https://github.com/balmorelcommunity/Balmorel |
| | |data_availability=all | | |data_availability=all |
| | |open_future=Yes | | |open_future=Yes |
| | |modelling_software=GAMS | | |modelling_software=GAMS |
| − | |model_class=GAMS | + | |processing_software=Excel, Python (Pandas) |
| − | |sectors=electricity, district heating | + | |External optimizer=All those supported by GAMS |
| | + | |GUI=No |
| | + | |model_class=Energy System Model |
| | + | |sectors=User-dependent |
| | |technologies=Renewables, Conventional Generation, CHP | | |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 | | |decisions=dispatch, investment |
| − | |georegions=Baltic Sea | + | |georegions=User-dependent (Pan-European, applied in 20+ countries) |
| − | |georesolution=something between NUTS 3 and country | + | |georesolution=Hierarchical: countries, regions, areas |
| | |timeresolution=Hour | | |timeresolution=Hour |
| − | |network_coverage=net transfer capacities | + | |network_coverage=transmission, DC load flow, net transfer capacities |
| | |math_modeltype=Optimization | | |math_modeltype=Optimization |
| − | |math_objective=economic costs | + | |math_modeltype_shortdesc=Linear programming (with an option of mixed-integer programming) |
| − | |is_suited_for_many_scenarios=No | + | |math_objective=Social welfare maximization |
| − | |citation_references=Göransson, L. and Johnsson, F. (2013), Cost-optimized allocation of wind power investments: a Nordic-German perspective, Wind Energy, Vol. 16, Issue 4 | + | |deterministic=Deterministic, perfect foresight, global sensitivity analysis |
| − | |citation_doi=10.1002/we.1517 | + | |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 | | |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.
