2015
SESDE 2015 Proceeding
A probabilistic FR 13 simulation of strategies for cooling of air in buildings with unplanned traffic flow during summer
Authors: James Y. G. Chu, Kenneth R. Davey
Abstract
Many buildings with varying traffic flow (i.e. occupancy), such as public buildings and hotels, do not have a quantitative strategy to manage energy use. Although seasonal, energy use is difficult to predict. A problem is to know the risk of failure of a postulated energy strategy used for cooling of the building interior air to an auto-set value (customarily 22° C). A new probabilistic assessment of the proposed on-only cooling strategy of Chu et al. (2015) has shown that some 12 unexpected, or Fr 13, failures can occur each summer, averaged over a prolonged period. Simulations highlight the cooling strategy is actually highly dependent on traffic flow (as occupancy) in the buildings, and not on ambient summer temperatures. Because all occupancy scenarios that could practically exist have been simulated the Fr 13 risk assessment is an advance over more traditional assessments.
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