Regionalisierung und Modellierung des zukünftigen Ladelastbedarfs der E-Mobilität im Güterverkehr

Translated title of the contribution: Regionalization and Modelling of Future Charging Demand for e-Mobility in Freight Transport

David Siebenhofer

Research output: ThesisMaster's Thesis

Abstract

The electrification of road transportation in Austria is expected to result in greater energy requirements and additional loads on the electricity grid. While the energy and charging requirements of future e-mobility in the passenger car sector have already been investigated in numerous studies, this study focuses on freight transport. The aim is to determine the charging requirements in the districts of Austria for the status quo, the year 2030 and the year 2040, when freight transport would be operated entirely electrically.The aim of this thesis is to determine the charging requirements in the districts of Austria for the status quo, the year 2030 and 2040, if freight transport is operated entirely electrically. For this purpose, the energy demand was determined by multiplying the kilometers driven by freight transport in each district in the depots and at charging stations on the route by the consumption per kilometer. The kilometers driven were obtained from Statistik Austria and allocated to the districts. The evaluation included all kilometers driven that are relevant to Austrian energy demand, regardless of whether they are domestic, inbound, outbound or transit traffic. Consumption is based on a literature review. After regionalization, temporal differentiation is also necessary. Data sets from road counting stations throughout Austria were used to break down freight traffic over time. In order to relieve the network at peak times, demand-side management was incorporated for overnight loading. According to the evaluation, the traffic volume of road freight traffic does not follow the general road traffic, as the maximum is reached around midday with a further peak in the afternoon. Loading peaks occur in the early afternoon and in the second half of the night. For the years 2030 and 2040, a different development is expected depending on the scenario: A development in the sense of climate protection assumes a decrease in the traffic load on the road, while the extrapolation of the current development assumes an increase in road freight traffic. The calculation results in electrical energy volumes for the whole of Austria of 5.9 TWh in the status quo. In 2030, 4.7 TWh (climate protection) and 6.3 TWh (increase in traffic) will be required. In 2040, the values calculated are 4.4 TWh (climate protection) and 6.8 TWh (increase in traffic). Less than a third of the energy is not loaded at the depot due to the assumption of only minimal loading on the route. While energy demand for domestic, inbound and outbound traffic is concentrated along the Danube and metropolitan regions, energy demand from transit is particularly high in Upper Austria, Tyrol and Salzburg. The districts with the highest energy demand are located along the Danube in Upper Austria, Lower Austria and Vienna, as well as a few in metropolitan regions such as Graz, Innsbruck and Salzburg. The districts with the lowest energy demand are scattered across Austria, but are generally further away from economically strong centers. Examples include Feldkirchen in Carinthia and Murau in Styria. According to the loading curve used in the background, a maximum of 1.40 GW can be expected in Austria in the status quo. Depending on the scenario, a maximum load of 0.90 GW and 1.39 GW is forecasted for 2040.
Translated title of the contributionRegionalization and Modelling of Future Charging Demand for e-Mobility in Freight Transport
Original languageGerman
Awarding Institution
  • Montanuniversität
Supervisors/Advisors
  • Vopava-Wrienz, Julia, Co-Supervisor (internal)
  • Kienberger, Thomas, Supervisor (internal)
Award date18 Oct 2024
Publication statusPublished - 2024

Bibliographical note

no embargo

Keywords

  • Transport
  • Energy
  • Energy system
  • Electrification
  • Trucks
  • energy transition
  • Electromobility
  • Climate targets
  • Austria
  • Freight Transportation

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