Control with building mass-Part II: Simulation
Peter R. Armstrong, Steven B. Leeb, Leslie Keith Norford
Abstract
Peter R. Armstrong, Steven B. Leeb, Leslie Keith Norford
Abstract
Reductions in building peak electrical demand can be achieved by incorporating building-specific models of thermal dynamics into controllers that will implement short-term peak-period curtailment of HVAC capacity or pre-cool the building prior to peak-period cutbacks to increase the magnitude and duration of the load reduction. The same building-specific model can be used to effect energy savings by providing optimal-start control or optimal-pre-cooling control during unoccupied hours. Control logic was developed for pre-cooling with a central HVAC plant equipped with an air-side economizer. Measurement-based estimates were made of chiller performance and internal-gains schedules. The general transient-thermal-response model of the companion paper (Armstrong et al. 2006) was then used to determine building-specific thermal response and estimate the seasonal benefits of several peak-shifting and night-cooling strategies in the office building. Simulations showed a 30% to 60% reduction in seasonal mechanical cooling loads in the office building due to night cooling.
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Reductions in building peak electrical demand can be achieved by incorporating building-specific models of thermal dynamics into controllers that will implement short-term peak-period curtailment of HVAC capacity or pre-cool the building prior to peak-period cutbacks to increase the magnitude and duration of the load reduction. The same building-specific model can be used to effect energy savings by providing optimal-start control or optimal-pre-cooling control during unoccupied hours. Control logic was developed for pre-cooling with a central HVAC plant equipped with an air-side economizer. Measurement-based estimates were made of chiller performance and internal-gains schedules. The general transient-thermal-response model of the companion paper (Armstrong et al. 2006) was then used to determine building-specific thermal response and estimate the seasonal benefits of several peak-shifting and night-cooling strategies in the office building. Simulations showed a 30% to 60% reduction in seasonal mechanical cooling loads in the office building due to night cooling.
Key concepts: HVAC, Chiller, Economizer, Cooling load, Thermal mass, Free cooling, Thermal comfort, Environmental science