REDUCED-ORDER BUILDING MODELING FOR APPLICATION TO MODEL-BASED PREDICTIVE CONTROL
Donghun Kim, James E. Braun
This paper presents methods and results for representing the complex thermal network of a building envelope and interior in the form of reduced-order state-space equations that can more easily be applied in model-based predictive and other advanced control approaches. The complexities of heat transfer phenomena through glazings and long wavelength exchanges among walls make the representation difficult. The model employs the net radiosity method for long-wave interaction, one-dimensional transient conduction through walls, conductive and convective coupling between zones, etc. Model order reduction is applied to simplify the state-space representation and case study results are presented.
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