TY - JOUR
T1 - Energy Demand Model for Residential Sector
T2 - A First Principles Approach
AU - Subbiah, Rajesh
AU - Pal, Anamitra
AU - Nordberg, Eric K.
AU - Marathe, Achla
AU - Marathe, Madhav V.
N1 - Funding Information:
Manuscript received March 10, 2016; revised June 16, 2016, September 24, 2016, and January 3, 2017; accepted February 6, 2017. Date of publication February 15, 2017; date of current version June 17, 2017. This work was supported in part by the Defense Threat Reduction Agency under Grant HDTRA1-11-1-0016, in part by DTRA Comprehensive National Incident Management System under Contract HDTRA1-11-D-0016-0001, in part by the Department of Energy under Grant DE-EE0007660, in part by National Science Foundation Network Science and Engineering under Grant CNS-1011769, in part by the National Institutes of Health under Grant 1R01GM109718, in part by Interface between Computer Science and Economics & Social Science (NSF-ICES) (CCF-1216000), and in part by (NSF-NRT) (DESE Grant DGE-154362). Paper no. TSTE-00189-2016.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7
Y1 - 2017/7
N2 - 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. To manage 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. The model 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.
AB - 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. To manage 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. The model 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.
KW - Activity-based
KW - appliance usage
KW - energy demand
KW - energy rating
KW - residential
KW - shared activity
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U2 - 10.1109/TSTE.2017.2669990
DO - 10.1109/TSTE.2017.2669990
M3 - Article
AN - SCOPUS:85026860048
SN - 1949-3029
VL - 8
SP - 1215
EP - 1224
JO - IEEE Transactions on Sustainable Energy
JF - IEEE Transactions on Sustainable Energy
IS - 3
M1 - 7857082
ER -