TY - GEN
T1 - Effect of Solar PV Penetration on Residential Energy Consumption Pattern
AU - Padhee, Malhar
AU - Pal, Anamitra
N1 - Funding Information:
This work was supported in part by the U.S. Department of Energy (DOE) SEEDS Grant DE-EE0007660. We thank the Network Dynamics and Simulation Science Laboratory at the Biocomplexity Institute at Virginia Tech for providing the household level, seasonal, residential energy demand profiles, for the entire state of Virginia.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/2
Y1 - 2019/1/2
N2 - The residential rooftop solar penetration in the U.S. has increased rapidly over the past few years. This increase, if not properly accounted for, can lead to operational and reliability challenges for the electric power industry in the form of under-utilization of available energy, increase in costs, and reduction in environmental benefits, as demonstrated by the California Independent System Operator (CAISO) Duck Curve. The authors of this paper had previously developed a bottom-up approach for computing season-wise household-level residential energy consumption profiles using a synthetic population resource. In this paper, that model is enhanced to account for the effects that increasing percentages of rooftop solar penetration can have on the residential energy demand profiles of different regions. This information will be very useful to electric power utilities because it will help them efficiently manage the increasing numbers of residential rooftop solar installations in their supply areas.
AB - The residential rooftop solar penetration in the U.S. has increased rapidly over the past few years. This increase, if not properly accounted for, can lead to operational and reliability challenges for the electric power industry in the form of under-utilization of available energy, increase in costs, and reduction in environmental benefits, as demonstrated by the California Independent System Operator (CAISO) Duck Curve. The authors of this paper had previously developed a bottom-up approach for computing season-wise household-level residential energy consumption profiles using a synthetic population resource. In this paper, that model is enhanced to account for the effects that increasing percentages of rooftop solar penetration can have on the residential energy demand profiles of different regions. This information will be very useful to electric power utilities because it will help them efficiently manage the increasing numbers of residential rooftop solar installations in their supply areas.
KW - Energy demand modeling
KW - Residential energy consumption
KW - Rooftop solar photovoltaic (PV)
KW - Seasonal variation
KW - Synthetic population
UR - http://www.scopus.com/inward/record.url?scp=85061840284&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061840284&partnerID=8YFLogxK
U2 - 10.1109/NAPS.2018.8600657
DO - 10.1109/NAPS.2018.8600657
M3 - Conference contribution
AN - SCOPUS:85061840284
T3 - 2018 North American Power Symposium, NAPS 2018
BT - 2018 North American Power Symposium, NAPS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 North American Power Symposium, NAPS 2018
Y2 - 9 September 2018 through 11 September 2018
ER -