A comparison of thermal zone aggregation methods
- Cornell University
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.
- Research Organization:
- Cornell Univ., Ithaca, NY (United States)
- Sponsoring Organization:
- USDOE National Energy Technology Lab; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
- DOE Contract Number:
- EE0003921
- OSTI ID:
- 1081563
- Report Number(s):
- DOE/EE0003921-9
- Resource Relation:
- Conference: 2012 IEEE 51st Annual Conference on Decision and Control (CDC)
- Country of Publication:
- United States
- Language:
- English
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