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Title: A method to generate heating and cooling schedules based on data from connected thermostats

Abstract

Internet-connected thermostats are a promising new source of temperature and operational data in homes because they record inside temperatures, setpoints, and HVAC runtimes every five minutes. Over 20 million Internet-connected thermostats have already been installed in American homes. Data from about 20,000 connected thermostats were collected and organized by climate zone, number of occupants, floor area, and day type. A method was developed to create up to 40 representative temperature schedules which, together, can more accurately capture the diversity of heating and cooling behaviors. These results are suitable for input into schedules for building energy simulation models. This information enables more realistic simulations of American heating and cooling behavior, leading to more accurate estimates of energy consumption and savings.

Authors:
 [1];  [2]
  1. Central Research Inst. for the Electric Power Industry (Japan)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office
OSTI Identifier:
1661615
Alternate Identifier(s):
OSTI ID: 1659554
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Energy and Buildings
Additional Journal Information:
Journal Volume: 228; Journal ID: ISSN 0378-7788
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Building energy simulation; Building codes; Setpoints; Thermostat; Data science

Citation Formats

Ueno, Tsuyoshi, and Meier, Alan. A method to generate heating and cooling schedules based on data from connected thermostats. United States: N. p., 2020. Web. doi:10.1016/j.enbuild.2020.110423.
Ueno, Tsuyoshi, & Meier, Alan. A method to generate heating and cooling schedules based on data from connected thermostats. United States. https://doi.org/10.1016/j.enbuild.2020.110423
Ueno, Tsuyoshi, and Meier, Alan. Tue . "A method to generate heating and cooling schedules based on data from connected thermostats". United States. https://doi.org/10.1016/j.enbuild.2020.110423. https://www.osti.gov/servlets/purl/1661615.
@article{osti_1661615,
title = {A method to generate heating and cooling schedules based on data from connected thermostats},
author = {Ueno, Tsuyoshi and Meier, Alan},
abstractNote = {Internet-connected thermostats are a promising new source of temperature and operational data in homes because they record inside temperatures, setpoints, and HVAC runtimes every five minutes. Over 20 million Internet-connected thermostats have already been installed in American homes. Data from about 20,000 connected thermostats were collected and organized by climate zone, number of occupants, floor area, and day type. A method was developed to create up to 40 representative temperature schedules which, together, can more accurately capture the diversity of heating and cooling behaviors. These results are suitable for input into schedules for building energy simulation models. This information enables more realistic simulations of American heating and cooling behavior, leading to more accurate estimates of energy consumption and savings.},
doi = {10.1016/j.enbuild.2020.110423},
journal = {Energy and Buildings},
number = ,
volume = 228,
place = {United States},
year = {2020},
month = {12}
}

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