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| | |Full_Model_Name=urbs | | |Full_Model_Name=urbs |
| | |author_institution=TUM EI ENS | | |author_institution=TUM EI ENS |
| − | |authors=Thomas Richter, Thomas Hamacher, Matthias Huber, Johannes Dorfner | + | |authors=Johannes Dorfner; Magdalena Dorfner; Soner Candas; Sebastian Müller; Yunus Özsahin; Thomas Zipperle; Simon Herzog |
| | |contact_persons=Johannes Dorfner | | |contact_persons=Johannes Dorfner |
| | |contact_email=johannes.dorfner@tum.de | | |contact_email=johannes.dorfner@tum.de |
| − | |website=https://www.github.com/tum-ens/urbs | + | |website=https://github.com/tum-ens/urbs |
| − | |source_download=https://www.github.com/tum-ens/urbs | + | |source_download=https://github.com/tum-ens/urbs |
| − | |text_description=URBS is a linear programming optimisation model for capacity expansion planning and unit commitment for distributed energy systems. Its name, latin for city, stems from its origin as a model for optimisation for urban energy systems. Since then, it has been adapted to multiple scales from neighbourhoods to continents. | + | |text_description=urbs is a linear programming optimisation model for capacity expansion planning and unit commitment for distributed energy systems. Its name, latin for city, stems from its origin as a model for optimisation for urban energy systems. Since then, it has been adapted to multiple scales from neighbourhoods to continents. |
| | + | |User documentation=http://urbs.readthedocs.io/ |
| | + | |Code documentation=http://urbs.readthedocs.io/ |
| | |open_source_licensed=Yes | | |open_source_licensed=Yes |
| | |license=GNU General Public License version 3.0 (GPL-3.0) | | |license=GNU General Public License version 3.0 (GPL-3.0) |
| | |model_source_public=Yes | | |model_source_public=Yes |
| | + | |Link to source=https://github.com/tum-ens/urbs |
| | |data_availability=some | | |data_availability=some |
| | |open_future=Yes | | |open_future=Yes |
| | |modelling_software=Python (Pyomo) | | |modelling_software=Python (Pyomo) |
| | |processing_software=Python (pandas et al) | | |processing_software=Python (pandas et al) |
| | + | |GUI=No |
| | |model_class=Energy Modelling Framework, | | |model_class=Energy Modelling Framework, |
| | |sectors=User-dependent, Electricity | | |sectors=User-dependent, Electricity |
| | |technologies=Renewables, Conventional Generation, CHP | | |technologies=Renewables, Conventional Generation, CHP |
| | + | |Demand sectors=Households, Industry, 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, Sun, Wind |
| | + | |Transfer (Electricity)=Transmission |
| | + | |Transfer (Gas)=Transmission |
| | + | |Transfer (Heat)=Transmission |
| | + | |Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS |
| | + | |Storage (Gas)=Yes |
| | + | |Storage (Heat)=Yes |
| | + | |Market models=N/A |
| | |decisions=dispatch, investment | | |decisions=dispatch, investment |
| | |georegions=User-dependent | | |georegions=User-dependent |
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| | |is_suited_for_many_scenarios=Yes | | |is_suited_for_many_scenarios=Yes |
| | |number_of_variables=100000 | | |number_of_variables=100000 |
| | + | |montecarlo=No |
| | |computation_time_minutes=20 | | |computation_time_minutes=20 |
| | |computation_time_comments=Highly dependent on model size (esp. storage) and solver (CPLEX, GLPK, Gurobi) | | |computation_time_comments=Highly dependent on model size (esp. storage) and solver (CPLEX, GLPK, Gurobi) |
| − | |citation_references=https://github.com/tum-ens/urbs | + | |citation_references=Dorfner, Johannes (2016). "Open Source Modelling and Optimisation of Energy Infrastructure at Urban Scale", doctoral thesis, Technical University of Munich |
| | + | |citation_doi=10.5281/zenodo.46118 |
| | + | |report_references=]] |
| | + | * [http://mediatum.ub.tum.de/?id=1285570 Open Source Modelling and Optimisation of Energy Infrastructure at Urban Scale]; Johannes Dorfner; doctoral thesis, Technical University of Munich, 2016 |
| | + | * [https://mediatum.ub.tum.de/node?id=1171502 Electricity system optimization in the EUMENA region]; Matthias Huber, Johannes Dorfner, Thomas Hamacher; technical report, Munich, 2012 |
| | + | * [https://mediatum.ub.tum.de/doc/1233948/1233948.pdf Modelling a Low-Carbon Power System for Indonesia, Malaysia and Singapore]; Juergen Stich, Melanie Mannhart, Thomas Zipperle, Tobias Massier, Matthias Huber, Thomas Hamacher; 33rd IEW International Energy Workshop, Peking, 2014 |
| | + | * [http://dx.doi.org/10.1016/j.enpol.2011.12.040 Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?]; Katrin Schaber, Florian Steinke, Thomas Hamacher; Energy Policy, Volume 43, April 2012, 123–135. |
| | + | |Model input file format=No |
| | + | |Model file format=No |
| | + | |Model output file format=No |
| | }} | | }} |
Dorfner, Johannes (2016). "Open Source Modelling and Optimisation of Energy Infrastructure at Urban Scale", doctoral thesis, Technical University of Munich
https://dx.doi.org/10.5281/zenodo.46118
