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| | |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 |
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| | |open_future=Yes | | |open_future=Yes |
| | |modelling_software=Modelica, Dymola, (OpenModelica), C++, MySQL, SQLite | | |modelling_software=Modelica, Dymola, (OpenModelica), C++, MySQL, SQLite |
| − | |processing_software=LSodar, Dassl | + | |processing_software=Lsodar, Dassl |
| | |Additional software=Modelica Tool like Dymola (tested) or OpenModelica (no testet) | | |Additional software=Modelica Tool like Dymola (tested) or OpenModelica (no testet) |
| | |GUI=Yes | | |GUI=Yes |
Latest revision as of 09:08, 21 February 2017
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Modeling of Complex Energy Systems
by Chair of Automation and Energy Systems (Saarland University)
Authors:
Lukas Exel
Contact:
Lukas Exel
|
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.
Based on Modelica, Dymola, (OpenModelica), C++, MySQL, SQLite. Using Lsodar, Dassl for data processing.
Website / Documentation
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 Not Open Source
Not directly downloadable
No data shipped
 Planned to open up further in the future
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| Model Scope |
Model type and solution approach |
| Model class
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Energy Modeling Framework
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| Sectors
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Electricity, User-dependent
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| Technologies
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Renewables, Conventional Generation
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| Decisions
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dispatch
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| Regions
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Depends on user
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| Geographic Resolution
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Depends on user
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| Time resolution
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Second
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| Network coverage
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| Model type
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Simulation, Agent-based
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|
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HDAE (Hybrid Differential Equations) combined with an agent-based approach.
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| Variables
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100000
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| Computation time
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minutes (strongly depends on the modeling depth and model complexity)
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| Objective
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|
| Uncertainty modeling
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deterministic, stochastic
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific 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.
https://dx.doi.org/10.1109/SmartGridComm.2015.7436395
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