Exploring methods to analyze and display continuously-measured time-series IEQ performance data
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This paper explores several new methods to process and interpret the large volume of timeseries, dynamic indoor environmental quality (IEQ) data beyond a statistical distribution analysis for benchmarking. To accomplish this, a comprehensive instrumentation cart was developed to collect continuous, one-minute data from the sixteen IEQ parameters along with occupancy measurements based on the ASHRAE/CIBSE/USGBC Performance Measurement Protocols (PMP). The selected IEQ parameters include: dry bulb and globe temperatures at four levels, RH, air speed, CO2, TVOCs, horizontal and vertical illuminance levels, as well as A-weighted and C-weighted sound pressure levels. The IEQ data collected from the two casestudy office buildings were then analyzed using several methods described in this paper. The preliminary analysis of the data revealed distinctively different distribution patterns of the measured IEQ variables for different spaces, which may be affected by room orientation, use of personal comfort devices, temperature set points, and different types of AHUs.
