期刊
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 8, 期 3, 页码 1215-1224出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2017.2669990
关键词
Activity-based; appliance usage; energy demand; energy rating; residential; shared activity
资金
- Defense Threat Reduction Agency [HDTRA111-1-0016]
- DTRA Comprehensive National Incident Management System [HDTRA1-11-D-0016-0001]
- Department of Energy [DE-EE0007660]
- National Science Foundation Network Science and Engineering [CNS-1011769]
- National Institutes of Health [1R01GM109718]
- Interface between Computer Science and Economics & Social Science (NSF-ICES) [CCF-1216000]
- NSF-NRT (DESE Grant) [DGE-154362]
According to the U.S. Energy Information Administration (EIA), the residential sector accounts for one-third of the country's energy consumption. This number is steadily increasing, posing a challenge to energy regulators as well as suppliers. Tomanage the growing demand for energy, there is a need for energy system optimization, especially on the demand side. This paper uses a first principles approach to build a high-resolution energy demand model, which can be used as a test bed by academicians as well as policy makers for performing such optimizations. This framework generates activity-based, building-level, time-dependent demand profiles. Themodel associates appliance usage with each household activity and calculates energy consumption based on the appliance energy rating, the duration of the energy consuming activity, and the type of activity performed by each household member. It also accounts for shared activities among household members to avoid double counting. Additionally, passive energy consumptions such as space heating/cooling, lighting, etc., are measured. Finally, validation of the results obtained by this model against real-world data for Virginia is carried out. The results indicate that the modeling framework is robust and can be extended to other parts of the U.S. and beyond.
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