Control with building mass-Part I: Thermal response model
Peter R. Armstrong, Steven B. Leeb, Leslie Keith Norford
Abstract
Peter R. Armstrong, Steven B. Leeb, Leslie Keith Norford
Abstract
In this paper we derive a general model and reliable identification procedures that can be applied autonomously for on-line forecasting of wall, zone, and whole building transient thermal responses. Several important aspects of building HVAC operation-fault detection, curtailment, verification, model-based control, and commissioning-are enabled or facilitated by use of accurate building-specific models. The methods of thermal response model identification developed in this work require little or no user intervention. Test cases for the model and identification procedures include a laboratory test room and a 60-unit apartment building in Ryazan, Russia.
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In this paper we derive a general model and reliable identification procedures that can be applied autonomously for on-line forecasting of wall, zone, and whole building transient thermal responses. Several important aspects of building HVAC operation-fault detection, curtailment, verification, model-based control, and commissioning-are enabled or facilitated by use of accurate building-specific models. The methods of thermal response model identification developed in this work require little or no user intervention. Test cases for the model and identification procedures include a laboratory test room and a 60-unit apartment building in Ryazan, Russia.
Key concepts: HVAC, Identification (biology), Engineering, Thermal mass, Reliability engineering, Transient (computer programming), Building model, Computer science