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Characterization of Long-Term Sub-Hourly Thermal Comfort Performance Data

Published

Author(s)

Hyojin Kim, Lisa Ng, Brian P. Dougherty, William V. Payne

Abstract

Current thermal comfort standards do not provide guidelines on how to graphically characterize and benchmark long-term, sub-hourly, thermal comfort. In an effort to address this void, several statistical characterizations and advanced visualization methods are demonstrated for quantifying and understanding the long-term thermal comfort achieved in single-family homes. One year of sub-hourly field data were used for this study. The data corresponds to times when two air-source heat pump (HP) systems were alternately used to condition the same well- insulated, well-sealed residence, the Net-Zero Energy Residential Test Facility (NZERTF) that is located on the campus of the National Institute of Standards and Technology (NIST) in Gaithersburg, MD, USA. Kim et al. (2019) provides more details on the house, tested systems, and thermal comfort and system performance data collection.
Proceedings Title
The 16th Conference of the International Society of Indoor Air Quality & Climate (Indoor Air
2020)
Conference Dates
July 20-24, 2020
Conference Location
Seoul, KR
Conference Title
n/a

Keywords

Architectural plan trend animations, Data decomposition, Weather-normalized thermal comfort

Citation

Kim, H. , Ng, L. , Dougherty, B. and Payne, W. (2020), Characterization of Long-Term Sub-Hourly Thermal Comfort Performance Data, The 16th Conference of the International Society of Indoor Air Quality & Climate (Indoor Air 2020), Seoul, KR (Accessed October 16, 2024)

Issues

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Created October 31, 2020, Updated October 12, 2021