MOCES - Revision history

Lukas Exel at 09:08, 21 February 2017

2017-02-21T09:08:58Z

Lukas Exel at 20:03, 14 February 2017

2017-02-14T20:03:19Z

Lukas Exel at 20:00, 14 February 2017

2017-02-14T20:00:57Z

Lukas Exel: initial commit

2017-02-14T19:48:28Z

initial commit

New page

{{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
}}

@@ Line 15: / Line 15: @@
 |open_future=Yes
 |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)
 |GUI=Yes

@@ Line 8: / Line 8: @@
 |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.
+|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

@@ Line 14: / Line 14: @@
 |model_source_public=No
 |open_future=Yes
-|GUI=No
+|modelling_software=Modelica, Dymola, (OpenModelica), C++, MySQL, SQLite
 |model_class=Energy Modeling Framework
 |sectors=Electricity, User-dependent
@@ Line 21: / Line 24: @@
 |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.