Quantitative analysis of cost savings and occupants’ preferences in grid-interactive smart home operation

Jiang, Yilin; Wang, Junke; Song, Li

doi:10.1080/23744731.2023.2244337

Quantitative analysis of cost savings and occupants’ preferences in grid-interactive smart home operation

Journal Article · Mon Sep 04 00:00:00 EDT 2023 · Science and Technology for the Built Environment

DOI:https://doi.org/10.1080/23744731.2023.2244337· OSTI ID:2204483

^[1]; Wang, Junke ^[2]; Song, Li ^[2]

University of Oklahoma, Norman, OK (United States); University of Oklahoma
University of Oklahoma, Norman, OK (United States)

Many utility companies in the United States have introduced time-of-use (TOU) rates for homeowners with the goal of regulating electricity consumption during peak hours. The electrical appliances in homes include various thermostatically controlled devices, such as air conditioners (AC) for thermal comfort, and nonthermostatically controlled devices such as clothes washers. As a result, homeowners face the complicated challenge of economically operating multiple electrical appliances in their homes while maintaining comfort and convenience. This is usually due to the lack of an explicit understanding of the correlation between cost saving and the users’ comfort. To understand the correlation, this article is designed to construct a framework by integrating three major components: a multi-objective optimization method accommodating multiple competing goals with different weights, a learning-based system modeling approach describing the dynamics and thermal coupling effects of appliances, and a novel comfort index method differentiating preferred and acceptable thermal comfort. Our proposed framework can allow the indoor air temperature to fall into the "preferred" range with a marginal cost increase. Furthermore, the simulation result shows that an additional 8 h for the preferred thermal comfort can be achieved with a cost increase of only 1.77%.

View Accepted Manuscript (DOE)

Research Organization:: University of Oklahoma, Norman, OK (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Building Technologies Office

Grant/Contract Number:: EE0008697

OSTI ID:: 2204483

Journal Information:: Science and Technology for the Built Environment, Journal Name: Science and Technology for the Built Environment Journal Issue: 9 Vol. 29; ISSN 2374-4731

Publisher:: Taylor & FrancisCopyright Statement

Country of Publication:: United States

Language:: English

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