Topic A7: Thermal comfort GENERATING EMPIRICAL PROBABILITIES OF METABOLIC RATE AND CLOTHING INSULATION VALUES IN FIELD STUDIES USING WEARABLE SENSORS
نویسندگان
چکیده
This research introduces a mixed-method framework to estimate metabolic rate and clothing insulation as objective and quantitative variables. Methods included automated visual diaries and both environmental and wearable sensors. Applying this framework in an exploratory study, during the winters of 2012 and 2013, allowed empirical probabilities of metabolic rate and clothing insulation values to be generated. The results indicate that current standards overestimate winter clothing insulation by 22% but underestimate residential metabolic activity by 9%. Beyond reviewing the standards thresholds, these probability distributions may be used as input to building energy simulation (BES) programs.
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