Abstract

Electrification is a potential solution for transport decarbonization and already widely available for individual and public transport. However, the availability of electrified commercial vehicles like waste collection vehicles is still limited, despite their significant contribution to urban emissions. Moreover, there is a lack of clarity whether electric waste collection vehicles can persist in real world conditions and which system design is required. Therefore, we introduce a multi-agent-based simulation methodology to investigate the technical feasibility and evaluate environmental and economic sustainability of an electrified urban waste collection. We present a synthetic model for waste collection demand on a per-link basis, using open available data. The tour planning is solved by an open-source algorithm as a capacitated vehicle routing problem (CVRP). This generates plausible tours which handle the demand. The generated tours are simulated with an open-source transport simulation (MATSim) for both the diesel and the electric waste collection vehicles. To compare the life cycle costs, we analyze the data using total cost of ownership (TCO). Environmental impacts are evaluated based on a Well-to-Wheel approach. We present a comparison of the two propulsion types for the exemplary use case of Berlin. And we are able to generate a suitable planning to handle Berlin’s waste collection demand using battery electric vehicles only. The TCO calculation reveals that the electrification raises the total operator cost by 16–30%, depending on the scenario and the battery size with conservative assumptions. Furthermore, the greenhouse gas emissions (GHG) can be reduced by 60–99%, depending on the carbon footprint of electric power generation.

Highlights

  • Introduction and MotivationThe European Union and many countries have set ambitious targets for reducing greenhouse gas (GHG) emissions progressively until 2050 [1]

  • Since the real-world vehicle trajectories are not available in many cases, we develop a synthetic model for waste collection demand on a per-link basis

  • For the case study we investigate two different synthetically generated weekdays for the waste collection in the city of Berlin: Monday as representing the collection days of the districts with higher demand density and Wednesday as the day collecting the waste in the districts with lower demand density

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Summary

Introduction

Introduction and MotivationThe European Union and many countries have set ambitious targets for reducing greenhouse gas (GHG) emissions progressively until 2050 [1]. Germany has committed itself to reduce GHG emissions by 55% by 2030 compared to 1990 [2]. To achieve this goal, profound transformation in all sectors is required. The electrification of the transport system is a promising approach to meet climate goals and reduce pollution simultaneously. Following this widely accepted fact, the project “zeroCUTS” (zero Carbon Urban Transport System: Analysis of strategies to fully de-carbonize urban transport) [5] currently under way at Technische Universität Berlin addresses all segments of the urban transport system

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