1991International Journal of Energy ResearchRequires access

Peak load reduction by preconditioning buildings at night

Ari Rabl, L. K. Norford

Open publisher page 106 citations

Abstract

Cooling loads during the peak period can be reduced if a building is subcooled a few degrees below its normal thermostat set-point during the preceding night. During the day the thermostat must control the warm-up in such a way that the stored energy is released when it brings maximum benefit. This strategy exploits the heat capacity of the building itself; it can be implemented at low cost and without sacrifice of comfort. To evaluate the strategy for a given building and to control the thermostat, one needs to know the thermal behaviour of the building. Building temperature, internal load and solar data are used to determine a small number of thermal parameters which characterize the building. Several thermostat control strategies, distinguished by their knowledge of the building dynamics, are described and simulated, with a data-based dynamic model. Universal graphs for effective storage capacity and storage efficiency are developed. A simple economic analysis shows that subcooling is likely to be cost-effective for many commercial buildings, with current electric rate schedules.

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What this paper is about

Cooling loads during the peak period can be reduced if a building is subcooled a few degrees below its normal thermostat set-point during the preceding night. During the day the thermostat must control the warm-up in such a way that the stored energy is released when it brings maximum benefit. This strategy exploits the heat capacity of the building itself; it can be implemented at low cost and without sacrifice of comfort. To evaluate the strategy for a given building and to control the thermostat, one needs to know the thermal behaviour of the building. Building temperature, internal load and solar data are used to determine a small number of thermal parameters which characterize the building. Several thermostat control strategies, distinguished by their knowledge of the building dynamics, are described and simulated, with a data-based dynamic model. Universal graphs for effective storage capacity and storage efficiency are developed. A simple economic analysis shows that subcooling is likely to be cost-effective for many commercial buildings, with current electric rate schedules.

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Available abstract

Cooling loads during the peak period can be reduced if a building is subcooled a few degrees below its normal thermostat set-point during the preceding night. During the day the thermostat must control the warm-up in such a way that the stored energy is released when it brings maximum benefit. This strategy exploits the heat capacity of the building itself; it can be implemented at low cost and without sacrifice of comfort. To evaluate the strategy for a given building and to control the thermostat, one needs to know the thermal behaviour of the building. Building temperature, internal load and solar data are used to determine a small number of thermal parameters which characterize the building. Several thermostat control strategies, distinguished by their knowledge of the building dynamics, are described and simulated, with a data-based dynamic model. Universal graphs for effective storage capacity and storage efficiency are developed. A simple economic analysis shows that subcooling is likely to be cost-effective for many commercial buildings, with current electric rate schedules.

Key concepts: Thermostat, Thermal comfort, Thermal energy storage, Subcooling, Cooling load, Environmental science, Automotive engineering, Computer science

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