MOCES

Revision as of 20:00, 14 February 2017

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 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.

Based on Modelica, Dymola, (OpenModelica), C++, MySQL, SQLite. Using LSodar, Dassl for data processing.

Website / Documentation

Not Open Source

Not directly downloadable

No data shipped

Planned to open up further in the future

Model Scope

Model type and solution approach

Model class	Energy Modeling Framework
Sectors	Electricity, User-dependent
Technologies	Renewables, Conventional Generation
Decisions	dispatch
Regions	Depends on user
Geographic Resolution	Depends on user
Time resolution	Second
Network coverage

Model type	Simulation, Agent-based
	HDAE (Hybrid Differential Equations) combined with an agent-based approach.
Variables	100000
Computation time	minutes (strongly depends on the modeling depth and model complexity)
Objective
Uncertainty modeling	deterministic, stochastic
Suited for many scenarios / monte-carlo	No

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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@@ Line 14: / Line 14: @@
 |model_source_public=No
 |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
 |sectors=Electricity, User-dependent
@@ Line 21: / Line 24: @@
 |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.

Author institution	Chair of Automation and Energy Systems (Saarland University) +
Authors	Lukas Exel +
Citation doi	10.1109/SmartGridComm.2015.7436395 +
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.
Computation time comments	strongly depends on the modeling depth and model complexity
Contact email	lukas.exel@aut.uni-saarland.de +
Contact persons	Lukas Exel +
Data availability
Decisions	dispatch +
Deterministic	deterministic, stochastic +
Full Model Name	Modeling of Complex Energy Systems +
Georegions	Depends on user +
Georesolution	Depends on user +
Is suited for many scenarios	false +
Math modeltype	Simulation + and Agent-based +
Math modeltype shortdesc	HDAE (Hybrid Differential Equations) combined with an agent-based approach. +
Model class	Energy Modeling Framework +
Model source public	false +
Modelling software	Modelica, Dymola, (OpenModelica), C++, MySQL, SQLite +
Number of variables	100,000 +
Open future	true +
Open source licensed	false +
Processing software	LSodar, Dassl +
Sectors	Electricity + and User-dependent +
Source download
Technologies	Renewables + and Conventional Generation +
Text description	MOCES is a modeling tool that allows a sim … 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.uper ‘entity connected to the grid’ level.
Timeresolution	Second +
Website	http://tiny.cc/2q07iy +

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Revision as of 20:00, 14 February 2017

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