Highlights

•   31 experiments were conducted to assess satisfaction with the thermal environment, sound, light and indoor air quality.
•   Three interactions across indoor environmental factors have been reported.
•   Overall satisfaction was found to be driven by the lowest satisfaction with any single environmental factor.
•   A geometric mean model predicting overall satisfaction was proposed and found to be more efficient.

Abstract

In this study, eight subjects were exposed in a simulated office to 31 combinations of indoor environmental conditions, assigned by orthogonal design and uniform design. Conditions comprised variations of Predicted Mean Vote (PMV), illuminance, sound pressure and CO2 concentration (independent of a consistent ventilation rate) as indicators of thermal, lighting, acoustic and indoor

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air quality.

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