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
Link To Document :
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