EURO 2024 Copenhagen
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1960. Estimating greenhouse gas emissions of electric delivery trucks

Invited abstract in session TA-56: Methods and models for sustainable transport solutions, stream Transportation.

Tuesday, 8:30-10:00
Room: S04 (building: 101)

Authors (first author is the speaker)

1. Tugce Yuksel
Faculty of Engineering and Natural Sciences, Sabanci University
2. Mert Ozcelik
Faculty of Engineering and Natural Sciences, Sabancı University
3. Sinan YILDIRIM
Faculty of Engineering and Natural Sciences, Sabancı University

Abstract

Previous literature show that emission benefits of electric passenger vehicles can vary a lot when regional differences such as grid mix, ambient temperature, patterns of vehicle miles travelled and driving profiles are considered. In this study, we propose a simulation model which can be used to extend the analysis to estimate GHG emissions of electric delivery trucks considering all these differences. We first develop an energy consumption model for delivery trucks based on real world usage data. Our model can estimate energy consumption per unit distance using average speed, ambient temperature, trip duration and acceleration characteristics. We then create a simulation framework which can be used to estimate the energy consumption from a fleet for a certain timeframe and calculate the emissions due to charging. Our framework can incorporate regional differences and it can create charging profiles (time and duration of charging) under different strategies such as immediate charging after the final trip, convenience charging or delayed charging. The results are combined with emissions factors from regional electricity grid to estimate use-phase emissions due to charging. As a case study, we use our simulation framework to quantify the effect of ambient temperature on CO2 emissions of electric delivery trucks in the United States and present the regional implications.

Keywords

Status: accepted

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