wiki.openmod-initiative.org - User contributions [en]

MOCES

2017-02-21T09:08:58Z

Lukas Exel:

{{Model
|Full_Model_Name=Modeling of Complex Energy Systems
|Acronym=MOCES
|author_institution=Chair of Automation and Energy Systems (Saarland University)
|authors=Lukas Exel
|contact_persons=Lukas Exel
|contact_email=lukas.exel@aut.uni-saarland.de
|website=http://tiny.cc/2q07iy
|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 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 users=1
|open_source_licensed=No
|model_source_public=No
|open_future=Yes
|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
|sectors=Electricity, User-dependent
|technologies=Renewables, Conventional Generation
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch
|georegions=Depends on user
|georesolution=Depends on user
|timeresolution=Second
|Observation period=Less than one month, Less than one year
|math_modeltype=Simulation, Agent-based
|math_modeltype_shortdesc=HDAE (Hybrid Differential Equations) combined with an agent-based approach.
|deterministic=deterministic, stochastic
|is_suited_for_many_scenarios=No
|number_of_variables=100000
|montecarlo=No
|computation_time_hardware=standard pc
|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_doi=10.1109/SmartGridComm.2015.7436395
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

MOCES

2017-02-14T20:03:19Z

Lukas Exel:

{{Model
|Full_Model_Name=Modeling of Complex Energy Systems
|Acronym=MOCES
|author_institution=Chair of Automation and Energy Systems (Saarland University)
|authors=Lukas Exel
|contact_persons=Lukas Exel
|contact_email=lukas.exel@aut.uni-saarland.de
|website=http://tiny.cc/2q07iy
|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.
|Number of developers=1
|Number of users=1
|open_source_licensed=No
|model_source_public=No
|open_future=Yes
|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
|sectors=Electricity, User-dependent
|technologies=Renewables, Conventional Generation
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch
|georegions=Depends on user
|georesolution=Depends on user
|timeresolution=Second
|Observation period=Less than one month, Less than one year
|math_modeltype=Simulation, Agent-based
|math_modeltype_shortdesc=HDAE (Hybrid Differential Equations) combined with an agent-based approach.
|deterministic=deterministic, stochastic
|is_suited_for_many_scenarios=No
|number_of_variables=100000
|montecarlo=No
|computation_time_hardware=standard pc
|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_doi=10.1109/SmartGridComm.2015.7436395
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

MOCES

2017-02-14T20:00:57Z

Lukas Exel:

{{Model
|Full_Model_Name=Modeling of Complex Energy Systems
|Acronym=MOCES
|author_institution=Chair of Automation and Energy Systems (Saarland University)
|authors=Lukas Exel
|contact_persons=Lukas Exel
|contact_email=lukas.exel@aut.uni-saarland.de
|website=http://tiny.cc/2q07iy
|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.
|Number of developers=1
|Number of users=1
|open_source_licensed=No
|model_source_public=No
|open_future=Yes
|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
|sectors=Electricity, User-dependent
|technologies=Renewables, Conventional Generation
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch
|georegions=Depends on user
|georesolution=Depends on user
|timeresolution=Second
|Observation period=Less than one month, Less than one year
|math_modeltype=Simulation, Agent-based
|math_modeltype_shortdesc=HDAE (Hybrid Differential Equations) combined with an agent-based approach.
|deterministic=deterministic, stochastic
|is_suited_for_many_scenarios=No
|number_of_variables=100000
|montecarlo=No
|computation_time_hardware=standard pc
|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_doi=10.1109/SmartGridComm.2015.7436395
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

MOCES

2017-02-14T19:48:28Z

Lukas Exel: initial commit

{{Model
|Full_Model_Name=Modeling of Complex Energy Systems
|Acronym=MOCES
|author_institution=Chair of Automation and Energy Systems (Saarland University)
|authors=Lukas Exel
|contact_persons=Lukas Exel
|contact_email=lukas.exel@aut.uni-saarland.de
|website=http://tiny.cc/2q07iy
|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.
|Number of developers=1
|Number of users=1
|open_source_licensed=No
|model_source_public=No
|open_future=Yes
|GUI=No
|model_class=Energy Modeling Framework
|sectors=Electricity, User-dependent
|technologies=Renewables, Conventional Generation
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch
|timeresolution=Second
|Observation period=Less than one month, Less than one year
|math_modeltype=Simulation, Agent-based
|math_modeltype_shortdesc=HDAE (Hybrid Differential Equations) combined with an agent-based approach.
|is_suited_for_many_scenarios=No
|number_of_variables=100000
|montecarlo=No
|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_doi=10.1109/SmartGridComm.2015.7436395
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

File:Moces logo beta.png

2017-02-14T19:20:34Z

Lukas Exel:

== Summary ==

== Licensing ==
{{license_ownwork_default}}