TY - GEN
T1 - Consideration of round-trip electric car-sharing in residential energy system modeling
AU - Achatz, Julian
AU - Mohapatra, Anurag
AU - Hamacher, Thomas
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper presents a residential, round-trip, mixed ownership, electric car-sharing scheme with an optimized charging schedule, expressed as a mixed integer linear programming model. Representing the given travel demand as a graph, a mixed (shared and owned cars) ownership fleet configuration, with different trip fulfillment possibilities, is determined using maximal cliques. Next, a car-to-trip allocation model for feasible trip plans, with considerations for equal car utilization and charging price, is used to generate charging profiles for the fleet. The model and the outputs can be variously integrated into existing energy system modeling frameworks. A case study, using data from a test building with a residential car-sharing fleet in Munich, demonstrates the potential of the proposed models to derive meaningful operational insights for fleet and energy system planners. 92% of the recorded trips at the test building could have been feasibly accomplished with only 60% of the available cars.
AB - This paper presents a residential, round-trip, mixed ownership, electric car-sharing scheme with an optimized charging schedule, expressed as a mixed integer linear programming model. Representing the given travel demand as a graph, a mixed (shared and owned cars) ownership fleet configuration, with different trip fulfillment possibilities, is determined using maximal cliques. Next, a car-to-trip allocation model for feasible trip plans, with considerations for equal car utilization and charging price, is used to generate charging profiles for the fleet. The model and the outputs can be variously integrated into existing energy system modeling frameworks. A case study, using data from a test building with a residential car-sharing fleet in Munich, demonstrates the potential of the proposed models to derive meaningful operational insights for fleet and energy system planners. 92% of the recorded trips at the test building could have been feasibly accomplished with only 60% of the available cars.
KW - car-sharing
KW - electric vehicles
KW - energy system modeling
KW - fleet configuration
KW - mixed integer linear programming
UR - http://www.scopus.com/inward/record.url?scp=86000030077&partnerID=8YFLogxK
U2 - 10.1109/ISGTEUROPE62998.2024.10863594
DO - 10.1109/ISGTEUROPE62998.2024.10863594
M3 - Conference contribution
AN - SCOPUS:86000030077
T3 - IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
BT - IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
A2 - Holjevac, Ninoslav
A2 - Baskarad, Tomislav
A2 - Zidar, Matija
A2 - Kuzle, Igor
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024
Y2 - 14 October 2024 through 17 October 2024
ER -