Seventh International Conference on Simulation Tools and Techniques

Research Article

Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models

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  • @INPROCEEDINGS{10.4108/icst.simutools.2014.254633,
        author={Leilani Gilpin and Laurent Ciarletta and Yannick Presse and Vincent Chevrier and Virginie Galtier},
        title={Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models},
        proceedings={Seventh International Conference on Simulation Tools and Techniques},
        publisher={ICST},
        proceedings_a={SIMUTOOLS},
        year={2014},
        month={8},
        keywords={simulation smart grid functional mock-up interface (fmi) high level architecture (hla) co-simulation},
        doi={10.4108/icst.simutools.2014.254633}
    }
    
  • Leilani Gilpin
    Laurent Ciarletta
    Yannick Presse
    Vincent Chevrier
    Virginie Galtier
    Year: 2014
    Co-simulation Solutions using AA4MM-FMI applied to Smart Space Heating Models
    SIMUTOOLS
    ICST
    DOI: 10.4108/icst.simutools.2014.254633
Leilani Gilpin1,*, Laurent Ciarletta2, Yannick Presse3, Vincent Chevrier2, Virginie Galtier4
  • 1: Palo Alto Research Center
  • 2: LORIA, INRIA
  • 3: INRIA Nancy - Grand-Est
  • 4: Supélec
*Contact email: leilanihg@gmail.com

Abstract

Multi-modeling and co-simulation are one of the solutions for dealing with complex systems. In this paper, we propose to apply the AA4MM framework to the co-simulation of a smart space heating “complex” environment with 2 objectives. Our first contribution is the development of AA4MM- FMI (Agent and Artifact for Multiple Models coordination for FMI). AA4MM is a modeling and simulation framework that can be used to implement the “master” in a multiple FMU (Functional Mock-up Unit) co-simulation of the FMI (Functional Mock-up Interface) standard with a fully decentralized view and intrinsic coordination. Our second contribution is to apply and evaluate this solution by creating a hierarchy of smart space models that are exploiting house geometry information. Each individual room is represented as an independent FMU taking inputs of the room’s geo- metric information (surface area, volume, insulation, etc.), target temperature, and neighboring rooms. The neighbor- ing rooms are connected to each other using the AA4MM- FMI framework. This project aims to couple an electrical heating-based simulation with networking event-based simulations to gain intuition for how house geometry affects efficient heating and network connectivity. Using this smart space house heating problem, we are able to test AA4MM- FMI (our novel “master”) for FMI and multi-simulation.