A method to generate heating and cooling schedules based on data from connected thermostats
- Central Research Inst. for the Electric Power Industry (Japan)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
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.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1661615
- Journal Information:
- Energy and Buildings, Journal Name: Energy and Buildings Vol. 228; ISSN 0378-7788
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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