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Author:

Xue, Peng (Xue, Peng.) (Scholars:薛鹏) | Hong, Tianzhen (Hong, Tianzhen.) | Dong, Bing (Dong, Bing.) | Mak, Cheukming (Mak, Cheukming.)

Indexed by:

SSCI EI Scopus SCIE CSCD

Abstract:

As regional drought conditions continue deteriorating around the world, residential water use has been brought into the built environment spotlight. Nevertheless, the understanding of water use behavior in residential buildings is still limited. This paper presents data analytics and results from monitoring data of daily water use (DWU) in 50 single-family homes in Texas, USA. The results show the typical frequency distribution curve of the DWU per household and indicate personal income, education level and energy use of appliances all have statistically significant effects on the DWU per capita. Analysis of the water-intensive use demonstrates the residents tend to use more water in post-vacation days. These results help generate awareness of water use behavior in homes. Ultimately, this research could support policy makers to establish a water use baseline and inform water conservation programs.

Keyword:

daily water use water usage behavior data analytics occupant behavior residential water consumption

Author Community:

  • [ 1 ] [Xue, Peng]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing 100124, Peoples R China
  • [ 2 ] [Xue, Peng]Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA
  • [ 3 ] [Hong, Tianzhen]Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA
  • [ 4 ] [Dong, Bing]Univ Texas San Antonio, Dept Mech Engn, One UTSA Circle, San Antonio, TX 78249 USA
  • [ 5 ] [Mak, Cheukming]Hong Kong Polytech Univ, Dept Bldg Serv Engn, Hong Kong, Hong Kong, Peoples R China

Reprint Author's Address:

  • 薛鹏

    [Xue, Peng]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Eff, Beijing 100124, Peoples R China;;[Xue, Peng]Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, 1 Cyclotron Rd, Berkeley, CA 94720 USA

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Source :

BUILDING SIMULATION

ISSN: 1996-3599

Year: 2017

Issue: 6

Volume: 10

Page: 949-962

5 . 5 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:165

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 16

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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