• DocumentCode
    239546
  • Title

    Building energy simulation and parallel computing: Opportunities and challenges

  • Author

    Agdas, Duzgun ; Srinivasan, Ravi S.

  • Author_Institution
    Civil Eng. & Built Environ. Sch., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2014
  • fDate
    7-10 Dec. 2014
  • Firstpage
    3167
  • Lastpage
    3175
  • Abstract
    Increased focus on energy cost savings and carbon footprint reduction efforts improved the visibility of building energy simulation, which became a mandatory requirement of several building rating systems. Despite developments in building energy simulation algorithms and user interfaces, there are some major challenges associated with building energy simulation; an important one is the computational demands and processing time. In this paper, we analyze the opportunities and challenges associated with this topic while executing a set of 275 parametric energy models simultaneously in EnergyPlus using a High Performance Computing (HPC) cluster. Successful parallel computing implementation of building energy simulations will not only improve the time necessary to get the results and enable scenario development for different design considerations, but also might enable Dynamic-Building Information Modeling (BIM) integration and near real-time decision-making. This paper concludes with the discussions on future directions and opportunities associated with building energy modeling simulations.
  • Keywords
    buildings (structures); decision making; energy conservation; parallel processing; power engineering computing; user interfaces; BIM integration; EnergyPlus; HPC cluster; building energy modeling simulations; building energy simulation; building rating systems; carbon footprint reduction efforts; computational demands; dynamic-building information modeling integration; energy cost savings; high performance computing cluster; parallel computing; real-time decision-making; user interfaces; Accuracy; Analytical models; Buildings; Computational modeling; Engines; Parallel processing; Program processors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2014 Winter
  • Conference_Location
    Savanah, GA
  • Print_ISBN
    978-1-4799-7484-9
  • Type

    conf

  • DOI
    10.1109/WSC.2014.7020153
  • Filename
    7020153