Foresee: A user-centric home energy management system for energy efficiency and demand response

Jin, Xin; Baker, Kyri A.; Christensen, Dane T.; Isley, Steven

doi:10.1016/j.apenergy.2017.08.166

Foresee: A user-centric home energy management system for energy efficiency and demand response

Journal Article · Wed Aug 23 00:00:00 EDT 2017 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2017.08.166· OSTI ID:1395097

Jin, Xin ^[1]; ^[2]; ^[1]; Isley, Steven ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States); Univ. of Colorado, Boulder, CO (United States)

This paper presents foresee, a user-centric home energy management system that can help optimize how a home operates to concurrently meet users' needs, achieve energy efficiency and commensurate utility cost savings, and reliably deliver grid services based on utility signals. Foresee is built on a multiobjective model predictive control framework, wherein the objectives consist of energy cost, thermal comfort, user convenience, and carbon emission. Foresee learns user preferences on different objectives and acts on their behalf to operate building equipment, such as home appliances, photovoltaic systems, and battery storage. In this work, machine-learning algorithms were used to derive data-driven appliance models and usage patterns to predict the home's future energy consumption. This approach enables highly accurate predictions of comfort needs, energy costs, environmental impacts, and grid service availability. Simulation studies were performed on field data from a residential building stock data set collected in the Pacific Northwest. Results indicated that foresee generated up to 7.6% whole-home energy savings without requiring substantial behavioral changes. When responding to demand response events, foresee was able to provide load forecasts upon receipt of event notifications and delivered the committed demand response services with 10% or fewer errors. Foresee fully utilized the potential of the battery storage and controllable building loads and delivered up to 7.0-kW load reduction and 13.5-kW load increase. As a result, these benefits are provided while maintaining the occupants' thermal comfort or convenience in using their appliances.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1395097

Alternate ID(s):: OSTI ID: 1549761

Report Number(s):: NREL/JA--5500-69073

Journal Information:: Applied Energy, Journal Name: Applied Energy Vol. 205; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
demand response
energy efficiency
home energy management system
model predictive control
smart grid
user preference

Foresee: A user-centric home energy management system for energy efficiency and demand response

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References (14)

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