TY - GEN
T1 - Modeling and simulation of residential power demand including transportation
AU - Maiorino, Mario
AU - Stockar, Stephanie
AU - Sorrentino, Marco
AU - Rizzoni, Giorgio
N1 - Publisher Copyright:
© 2015 by ASME.
PY - 2015
Y1 - 2015
N2 - Personal transportation has a significant impact on the residential electric energy usage due to the interaction of alternative fueled vehicles with the electric grid. This phenomenon is projected to grow significantly, as several studies confirm that the market penetration of alternative fueled vehicles will steadily increase in the future. This paper presents a control-oriented model that predicts the daily residential power demand considering multiple energy carriers and different types of alternative fueled vehicles for personal transportation. The model has been used to perform an energy analysis on a large sample of homes with the objective of evaluating the impact of personal transportation on the residential electric power demand. Two penetration levels are considered in the study and the results are evaluated based on several metrics.
AB - Personal transportation has a significant impact on the residential electric energy usage due to the interaction of alternative fueled vehicles with the electric grid. This phenomenon is projected to grow significantly, as several studies confirm that the market penetration of alternative fueled vehicles will steadily increase in the future. This paper presents a control-oriented model that predicts the daily residential power demand considering multiple energy carriers and different types of alternative fueled vehicles for personal transportation. The model has been used to perform an energy analysis on a large sample of homes with the objective of evaluating the impact of personal transportation on the residential electric power demand. Two penetration levels are considered in the study and the results are evaluated based on several metrics.
UR - https://www.scopus.com/pages/publications/84973278452
UR - https://www.scopus.com/pages/publications/84973278452#tab=citedBy
U2 - 10.1115/DSCC2015-9852
DO - 10.1115/DSCC2015-9852
M3 - Conference contribution
AN - SCOPUS:84973278452
T3 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
BT - Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications
PB - American Society of Mechanical Engineers
T2 - ASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Y2 - 28 October 2015 through 30 October 2015
ER -