We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Large-scale building simulation using cloud computing for estimating lifecycle energy consumption.
- Authors
Richman, Russell; Zirnhelt, Hayes; Fix, Stuart
- Abstract
The use of whole building simulation is increasing to support the design process. Often it is desirable to evaluate many scenarios, however the simulation time involved presents a significant barrier. Simulationists are forced to reduce the number of scenarios evaluated to meet time constraints. With cloud computing, simulationists can significantly reduce the total simulation time by allocating portions of the simulations to multiple processor cores. The benefit of cloud computing is demonstrated through a case study project, which computes the lifecycle energy consumption (LEC) of 1 080 000 single detached home design scenarios in Toronto, for a budget of CAN$2400. Code was written using Python to couple EnergyPlus and ATHENA IE to modify input files, process results and calculate LEC. The results of this study suggest that utilizing cloud computing to simulate large scenario studies represents an efficient method that is beginning to surface in mainstream building simulation.
- Subjects
TORONTO (Ont.); ENERGY consumption of buildings; SIMULATION methods &; models; CLOUD computing; PILOT projects; RUN time systems (Computer science); METAHEURISTIC algorithms; GENETIC algorithms
- Publication
Canadian Journal of Civil Engineering, 2014, Vol 41, Issue 3, p252
- ISSN
0315-1468
- Publication type
Case Study
- DOI
10.1139/cjce-2013-0235