Exploring methods to analyze and display continuously-measured time-series IEQ performance data

Hyojin Kim, Jeff Haberl

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages181-188
Number of pages8
StatePublished - 2014
Externally publishedYes
Event13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014 - Hong Kong, Hong Kong
Duration: Jul 7 2014Jul 12 2014

Conference

Conference13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014
Country/TerritoryHong Kong
CityHong Kong
Period7/7/147/12/14

All Science Journal Classification (ASJC) codes

  • Pollution
  • Building and Construction
  • Health, Toxicology and Mutagenesis
  • Computer Science Applications

Keywords

  • IEQ data analysis
  • IEQ measurement
  • Indoor environmental quality (IEQ)
  • Performance measurement protocols (PMP)

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