Energy Consumption Behavior Model for an Urban Transportation System Using Multidimensional Correlation Structures : Applied at the Trolley Bus System in Solingen (North Rhine-Westphalia, Germany)

Weisbach, Michéle; Spaeth, Utz; Schmuelling, Benedikt

doi:10.1109/icite.2019.8880157

Cited by 2 publications

(2 citation statements)

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“…They propose this kind of bus as a moving energy storage system, helping to solve questions concerning the optimization of the energy usage and peak shaving in OCL. In this context, the prediction of the power consumption behavior of the BOB is an essential task, and it is discussed in [24][25][26]. As the weight of the vehicles has a great influence on the energy consumption, a methodology to detect changes in the payload by using pressure sensors on the bus's tires and air suspensions is discussed in [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Catenary-Powered Electric Traction Network Modeling: A Data-Driven Analysis for Trolleybus System Simulation

Paternost

Mandrioli

Barbone

et al. 2022

WEVJ

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In the context of smart cities, direct current overhead contact lines, usually adopted to power urban transportation systems such as trolleybuses, tramways, metros, and railways, can serve as a backbone to connect different modern emerging technologies. Among these, in-motion charging (IMC) trolleybuses with on-board batteries are expected to be very impactful on the DC network’s power flow and may require specific voltage and current control. These factors motivate the development of a simulation tool able to emulate these devices’ absorption and their effect on the supply infrastructure. The main innovative value of the work is to improve a simulation model of a trolleybus grid through a data-driven approach by using measurements of voltage and current output from a traction substation. The measurements are essential for understanding the behavior of vehicle weight variation throughout the day. Thanks to this information, a characterization of the current draw by conventional trolleybuses and IMC trolleybuses is then provided for each trolleybus route in a specific power section of the Bologna trolleybus system. By integrating the variation in vehicle weight within the model, a simulation of a possible daily operation of a trolleybus feeding section has been performed, obtaining a 7% error between the daily energy calculated from the simulation and that obtained through measurements. This analysis demonstrates the feasibility of the adopted simulation tool, which can also be used to evaluate additional hypothetical trolleybus operation scenarios. One of these possible scenarios considers IMC vehicles, and it is also evaluated in this paper.

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Section: Introductionmentioning

confidence: 99%

“…Figure24. RMS currents (solid lines) along the catenary and its mean value (dashed lines) for the four considered scenarios.…”

mentioning

confidence: 99%

Catenary-Powered Electric Traction Network Modeling: A Data-Driven Analysis for Trolleybus System Simulation

Paternost

Mandrioli

Barbone

et al. 2022

WEVJ

View full text Add to dashboard Cite

show abstract

Power Demand Prediction of Battery Overhead Line Buses based on a Neural Network Optimization

Weisbach

Spaeth

Ghobadi

et al. 2020

2020 IEEE Green Technologies Conference(GreenTech)

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Energy Consumption Behavior Model for an Urban Transportation System Using Multidimensional Correlation Structures : Applied at the Trolley Bus System in Solingen (North Rhine-Westphalia, Germany)

Cited by 2 publications

References 4 publications

Catenary-Powered Electric Traction Network Modeling: A Data-Driven Analysis for Trolleybus System Simulation

Catenary-Powered Electric Traction Network Modeling: A Data-Driven Analysis for Trolleybus System Simulation

Power Demand Prediction of Battery Overhead Line Buses based on a Neural Network Optimization

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