Paul Benz M. Sc.

Phone	(0931) 31-85146
E-Mail	paul.benz@uni-wuerzburg.de
Room	01.012 (Building M4)
Address	Lehrstuhl für Informatik XI Am Hubland 97074 Würzburg Germany

Researchgate

Research Interests

Hybrid modeling and simulation of mobility, transportation and landuse
Integration of charging infrastructures for electric vehicles into the power grid
Optimized use of renewable energies

Research projects

OPELA - Concept study for the integrated optimization of e-mobility and charging strategies in the application context of employee mobility

Klimapakt2030plus: EMN-SIM - Simulation tool for representing and visualizing energy flows in the European metropolitan region of Nuremberg in the context of the turnaround in energy policy

Recent Publications

2024[ to top ]

Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces. Benz, Paul; Pruckner, Marco. In Proceedings of the Winter Simulation Conference, of WSC ’23, pp. 922–933. IEEE Press, <conf-loc>, <city>San Antonio</city>, <state>Texas</state>, <country>USA</country>, </conf-loc>, 2024.
- [ Abstract ]
- [ BibTeX ]
- [ URL ]
- [ DOI ]
The present study investigates the extension of an existing simulation model combining system dynamics and discrete event simulation by linear optimization for an electric vehicle charging system. The existing simulation framework is extended by a smart charging strategy based on linear programming in order to exploit the flexibility of real charging processes at a workplace parking lot for a better integration of solar photovoltaic electricity generation. Therefore, different smart charging strategies are evaluated. In multiple simulation runs, the strategies are compared with immediate charging using a stationary battery energy storage system for intermediate storage of electricity generated by solar photovoltaic. Results show that smart charging strategies can achieve similarly good results with respect to the self-sufficiency rate and self-consumption rate. In the context of a 100kWp PV system the combination of optimizing charging rates and stationary battery energy storage resulted in self-sufficiency rates of more than 90\% in the simulation.

@inproceedings{10.5555/3643142.3643218, abstract = {The present study investigates the extension of an existing simulation model combining system dynamics and discrete event simulation by linear optimization for an electric vehicle charging system. The existing simulation framework is extended by a smart charging strategy based on linear programming in order to exploit the flexibility of real charging processes at a workplace parking lot for a better integration of solar photovoltaic electricity generation. Therefore, different smart charging strategies are evaluated. In multiple simulation runs, the strategies are compared with immediate charging using a stationary battery energy storage system for intermediate storage of electricity generated by solar photovoltaic. Results show that smart charging strategies can achieve similarly good results with respect to the self-sufficiency rate and self-consumption rate. In the context of a 100kWp PV system the combination of optimizing charging rates and stationary battery energy storage resulted in self-sufficiency rates of more than 90\% in the simulation.}, author = {Benz, Paul and Pruckner, Marco}, booktitle = {Proceedings of the Winter Simulation Conference}, keywords = {pruckner}, pages = {922–933}, publisher = {IEEE Press}, series = {WSC '23}, title = {Lightweight Smart Charging vs. Immediate Charging with Buffer Storage: Towards a Simulation Study for Electric Vehicle Grid Integration at Workplaces}, year = 2024 }

Paul Benz M. Sc.

Research Interests

Research projects

Recent Publications

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