Title :
A comparison of thermal zone aggregation methods
Author :
Dobbs, Justin R. ; Hencey, Brandon M.
Author_Institution :
Sibley Sch. of Mech. & Aerosp. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
The impact of increasing energy prices on building operation budgets has fueled demand for more energy-efficient structures. Existing building energy simulation tools generate an immense amount of data yet comparatively little knowledge. This paper introduces a framework that allows aggregation-based model reduction to operate on geometric building information models. The resulting aggregation sequence provides designers with faster simulations and affords insight into complex multi-scale thermal interactions. A comparison of the trade-off between simulation speed and accuracy for three hierarchical cluster partitioning methods concludes the discussion.
Keywords :
budgeting; building management systems; buildings (structures); energy conservation; energy management systems; pattern clustering; aggregation sequence; building energy simulation tools; building operation budgets; complex multiscale thermal interactions; energy prices; energy-efficient structures; geometric building information models; hierarchical cluster partitioning methods; thermal zone aggregation-based model reduction; Atmospheric modeling; Buildings; Capacitance; Capacitors; Object oriented modeling; Reduced order systems; Solid modeling;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6425888
