ModeliScale

ModeliScale collaborative project brings Modelica to handle large Scale Cyber Physical Systems for the Energy industries in CATIA apps

Europe has to face a new paradigm: energy systems become more and more decentralized, they involve more actors and consumers with sometimes divergent interests. The progressive insertion of new energy production means (with renewables in particular), consumption sources (vehicles chargement) and storage technologies are modifying the architecture of these systems. In order to handle the future energy mix, there is strong need for new modeling and simulation means (ModSim) to design and combine such systems for a better definition and piloting of of their performance.

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ModeliScale project aims to enable the Modelica technology to fit for the modeling & simulation of very large models of energy systems, in a multi-mode and reconfigurable context. It considers different time and space scales, multiple sources of energy production (classic and alternative), and various forms of energy transport consumption (buildings, vehicles, storage).

Project Summary

Today; no Modeling and Simulation language and tools has the capability to tackle large scale  multi modes systems. Therefore, project aims innovative concepts to handle such systems.

Three main objectives are considered by the consortium : 
•    Compile and execute large scale models, up to millions of equations
•    Handle multi-mode models (from switching from nominal to degraded states, dynamically re configuring according to energy demand (network management, electric vehicle charging stations) or intermittent production (eg. solar)) with a target of 2^80 combined modes and more 
•    Enable a proper initialization of such large scale multimode models , relying on proper convergence and/or calibration to ensure the correctness of the initial states

Open Standards

ModeliScale project is leveraging on Modelica and FMI standards.

The Modelica community has recognized the ModeliScale initiative.

Moreover, ModeliScale outcomes will feed these 2 standards with evolution proposals.

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Modelica

The Modelica Association is a non-profit organization with members from Europe, U.S.A., Canada and Asia. Since 1996, it develops coordinated, open access standards and open source software in the area of cyber physical systems.

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Functional Mock-up Interface

The Functional Mock-up Interface (FMI) is a free standard that defines a container and an interface to exchange dynamic models using a combination of XML files, binaries and C code zipped into a single file. It is supported by 100+ tools.

French state support

The project is supported by the French Authorities through financial support of BPIFrance and Region Ile de France in the FUI (Fonds Unique Interministeriel).

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BPI France

Banque publique d'investissement (BPI) is a French investment bank.

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Île-de-France

Île-de-France is the most populous of the 18 regions of France, located in the north-central part of the country

ModeliScale project has been selected by the French competitive clustersSystematic and Tenerrdis.

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Systematic Paris Region

Systematic Paris-Region is an Île-de-France business cluster created in 2005, devoted to complex systems and ICT.

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Tenerrdis

Tenerrdis is a French innovative Cluster based in Grenoble.

Key figures & Project Keywords

  • Leader : Dassault Systemes SE
  • Consortium : 8 French partners
  • Domaine : Energy
  • Timeline : [Jan 2018, Jul 2021]
  • Effort : > 40 Man x Years
  • Multi physics, multi scale, multi modes, energy systems, power grid, infrastructure, sustainable
  • Modelica , FMI
  • CATIA , Dymola, DACCOSIM
  • 3DEXPERIENCE

Related pages

Consortium
Dassault Systèmes leads a 8 partners consortium:  industrial case-study owners (EDF, ENGIE, CEA Tech, Inria) scientific institute and 3 SMEs
Market Perspectives
ModeliScale participants will benefit from more productivity and efficiency in the design and operation of energy systems, power grids, and infrastructures.
Related information
More information on ModeliScale partners in the area of multi-physics modelling and simulation