When Comparing To Actual Use Patterns

Lighting and ventilation represent the vast majority of the air conditioning hundreds in office buildings in sizzling humid climates. Use of motion sensors is one way to reduce the vitality used for these masses. This paper describes the methods used for simulation a case research building with motion sensors installed and the monitoring of system on-off statistics associated to occupant patterns. It also describes the development of the Monte Carlo model used to foretell the on-off status of sensors. The building utilizing the motion sensors is compared to a constructing that controls the lights and ventilators by a standard pre-programmed schedule. The standard methods of simulation were proven to generate misleading data concerning electric demand expenses and life-cycle costs of the building. When comparing to precise use patterns, the Monte Carlo process was shown to represent an adequate strategy to characterize the on-off patterns. Computer simulations further reveal the potential life cycle value financial savings from the usage of the movement sensors. Degelman, L. O. (2000). https://retwaey536.wixsite.com/energygreen for Evaluation of Life-Cycle Vitality Savings of Occupancy Sensors for Management of Lighting and Ventilation in Workplace Buildings. Available electronically from https : / /hdl .handle .web /1969 .1 /6811.