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Field-Evaluation of Alternative HVAC Strategies to Meet Ventilation, Comfort and Humidity Control Criteria at Three Full-Serve Restaurants
Abstract
Lighting and ventilation represent the majority
of the air conditioning loads in office buildings in
hot humid climates. Use of motion sensors is one
way to minimize the energy used for these loads.
This paper describes the methods used for
simulating a case study building with motion sensors
installed and the monitoring of system on-off
statistics related to occupant patterns. It also
describes the development of the Monte Carlo model
used to predict the on-off status of sensors. The
building using the motion sensors is compared to a
building that controls the lights and ventilators by a
conventional pre-programmed schedule. The
conventional methods of simulation were shown to
generate misleading information regarding electric
demand charges and life-cycle costs of the building.
When comparing to actual use patterns, the Monte
Carlo process was shown to represent an adequate
way to represent the on-off patterns. Computer
simulations further demonstrate the potential life
cycle cost savings from the use of the motion
sensors.
Citation
Yborra, S. C.; Spears, J. W. (2000). Field-Evaluation of Alternative HVAC Strategies to Meet Ventilation, Comfort and Humidity Control Criteria at Three Full-Serve Restaurants. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /6812.