• DocumentCode
    74389
  • Title

    MESCOS—A Multienergy System Cosimulator for City District Energy Systems

  • Author

    Molitor, Christoph ; Gross, S. ; Zeitz, Jakob ; Monti, Antonello

  • Author_Institution
    E.ON Energy Res. Center, Inst. for Autom. of Complex Power Syst., E.ON ERC, RWTH Aachen Univ., Aachen, Germany
  • Volume
    10
  • Issue
    4
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    2247
  • Lastpage
    2256
  • Abstract
    This work introduces a multidomain simulation platform that enables a holistic analysis of city district scale energy systems. The objective for the development of the simulation platform is to provide a tool that supports the design of control and energy management algorithms for those systems. The platform allows long-term simulations of a large number of buildings, including internal energy supply or energy conversion systems, in combination with external energy supply systems like the electrical grid. The simulation of those physical systems represents the environment for sophisticated control and energy management algorithms that can be tested on the platform. The concept of this work is to combine commercial-off-the-shelf software packages, here simulators and runtime infrastructure (RTI), to a high performance multidomain cosimulation platform. The high performance of the platform regarding computation time has been achieved by exploiting the parallel computing capabilities of modern simulation servers. Especially the computation time of large numbers of instances of Modelica-based models has been reduced significantly by the development of the parallel execution framework (PEF). The implementation of the PEF, including the interface to the individual models and to the RTI, is described in detail. The partitioning of the simulated system among different simulators does not influence the simulation results, as shown on the basis of a small-scale simulation scenario. The performance regarding the computation time is demonstrated on several example simulation scenarios showing the scalability of the platform.
  • Keywords
    buildings (structures); energy management systems; power engineering computing; power grids; power system control; power system simulation; software packages; MESCOS; Modelica-based models; PEF; buildings; city district energy systems; city district scale energy systems; commercial-off-the-shelf software packages; electrical grid; energy conversion systems; energy management; holistic analysis; internal energy supply; multidomain simulation platform; multienergy system cosimulator; parallel execution framework; runtime infrastructure; sophisticated control; Buildings; Energy management; Power system simulation; Simulation; Smart grids; Urban areas; Building energy system (BES); cosimulation platform; multienergy system; smart grid; urban energy system;
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2334058
  • Filename
    6846298