Modelica Models Translation into Java Components for Optimization and DAE Solving Using Automatic Differentiation

Verdière, Franck; Rezgui, Abir; Gaaloul, Sana; Delinchant, Benoît; Gerbaud, Laurent; Würtz, Fréderic; Brunotte, X.

doi:10.1109/uksim.2012.56

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Thus, we can note that the ICAR standard, operating for ten years in the field of optimal design of electrical engineering systems [6], is able now to offer efficient solutions for interoperability between tools or languages such as Modelica [7], Pleiade / Comfie [5] , TRNSYS, etc ... by exchanging models via a software component bus.…”

Section: B Advantages O{ the Software Component Based Approachmentioning

confidence: 99%

The distribution of computing services for buildings design and optimal management: Cloud computing based on software component standard

Delinchant

Gaaloul

Verdière

et al. 2012

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

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The optimal building management requires developed models to predict building's systems behavior. We propose to achieve this goal, by making available on the web, remote computation services for the composition, simulation and optimization of buildings components. A paradigm shift is necessary in order to fulfill this goal. The well suited paradigm is software components, associated with web-services technologies. We show that models can be embedded in software components and after that, made available on the web without any special effort of the user. We illustrate the use of a web-service calculation by the realization of a remote optimization without ever holding the model..

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Section: B Advantages O{ the Software Component Based Approachmentioning

confidence: 99%

The distribution of computing services for buildings design and optimal management: Cloud computing based on software component standard

Delinchant

Gaaloul

Verdière

et al. 2012

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

Self Cite

View full text Add to dashboard Cite

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Novel simulation concepts for buildings and community energy systems based on the Functional Mock-up Interface specification

Widl

Delinchant

Kubler

et al. 2014

2014 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)

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Research and development in the fields of building technologies and community energy systems have caused in recent years a transition away from stand-alone components towards dynamically interacting systems. However, the precise modeling and simulation of such complex cyber-physical systems proves challenging for the established simulation tools. This paper illustrates the applicability of co-simulation and model exchange concepts based on the Functional Mock-up Interface (FMI) specification for the simulation of buildings and community energy systems by comparing several state-of-the-art approaches. The presented applications thereby demonstrate the suitability and relevance of such modular and flexible simulation concepts for these fields. At the same time the importance of a common simulation interface is emphasized, which allows the reuse of individual components for a diverse range of applications

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Cloud Computing Services For The Design And Optimal Management Of Buildings

Delinchant¹,

Verdière²,

Würtz³

et al. 2013

Building Simulation Conference Proceedings

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Modelica Models Translation into Java Components for Optimization and DAE Solving Using Automatic Differentiation

Cited by 3 publications

References 10 publications

The distribution of computing services for buildings design and optimal management: Cloud computing based on software component standard

The distribution of computing services for buildings design and optimal management: Cloud computing based on software component standard

Novel simulation concepts for buildings and community energy systems based on the Functional Mock-up Interface specification

Cloud Computing Services For The Design And Optimal Management Of Buildings

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