|
|
(2 intermediate revisions by one user not shown) |
Line 8: |
Line 8: |
| |website=http://tiny.cc/2q07iy | | |website=http://tiny.cc/2q07iy |
| |logo=Moces logo beta.png | | |logo=Moces logo beta.png |
− | |text_description=MOCES is a modeling tool that allows a simulative investigation of complex energy systems. It is build on top of the modeling language Modelica. It is not restricted to a specific modeling depth, neither spatial nor temporal. Nevertheless, in the time domain it focus on dynamics with time constants larger then seconds and in the spatial domain it concentrate on the super ‘entity connected to the grid’ level. | + | |text_description=MOCES is a modeling tool that allows a simulative investigation of complex energy systems. It is build on top of the modeling language Modelica. It is not restricted to a specific modeling depth, neither spatial nor temporal. Nevertheless, in the time domain it focuses on dynamics with time constants larger then seconds and in the spatial domain it concentrates on the super ‘entity connected to the grid’ level. |
| |Number of developers=1 | | |Number of developers=1 |
| |Number of users=1 | | |Number of users=1 |
Line 14: |
Line 14: |
| |model_source_public=No | | |model_source_public=No |
| |open_future=Yes | | |open_future=Yes |
− | |GUI=No | + | |modelling_software=Modelica, Dymola, (OpenModelica), C++, MySQL, SQLite |
| + | |processing_software=Lsodar, Dassl |
| + | |Additional software=Modelica Tool like Dymola (tested) or OpenModelica (no testet) |
| + | |GUI=Yes |
| |model_class=Energy Modeling Framework | | |model_class=Energy Modeling Framework |
| |sectors=Electricity, User-dependent | | |sectors=Electricity, User-dependent |
Line 21: |
Line 24: |
| |Storage (Heat)=No | | |Storage (Heat)=No |
| |decisions=dispatch | | |decisions=dispatch |
| + | |georegions=Depends on user |
| + | |georesolution=Depends on user |
| |timeresolution=Second | | |timeresolution=Second |
| |Observation period=Less than one month, Less than one year | | |Observation period=Less than one month, Less than one year |
| |math_modeltype=Simulation, Agent-based | | |math_modeltype=Simulation, Agent-based |
− | |math_modeltype_shortdesc=HDAE (Hybrid Differential Equations) combined with an agent-based approach. | + | |math_modeltype_shortdesc=HDAE (Hybrid Differential Equations) combined with an agent-based approach. |
| + | |deterministic=deterministic, stochastic |
| |is_suited_for_many_scenarios=No | | |is_suited_for_many_scenarios=No |
| |number_of_variables=100000 | | |number_of_variables=100000 |
| |montecarlo=No | | |montecarlo=No |
| + | |computation_time_hardware=standard pc |
| |computation_time_comments=strongly depends on the modeling depth and model complexity | | |computation_time_comments=strongly depends on the modeling depth and model complexity |
| |citation_references=L. Exel, F. Felgner and G. Frey, "Multi-domain modeling of distributed energy systems - The MOCES approach," 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, 2015, pp. 774-779. | | |citation_references=L. Exel, F. Felgner and G. Frey, "Multi-domain modeling of distributed energy systems - The MOCES approach," 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, 2015, pp. 774-779. |
L. Exel, F. Felgner and G. Frey, "Multi-domain modeling of distributed energy systems - The MOCES approach," 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, 2015, pp. 774-779.
https://dx.doi.org/10.1109/SmartGridComm.2015.7436395