Aim of the project
To provide a tool to help long-distance heavy freight companies and the public sector understand fleet decarbonising options.
- Start date
Long-distance heavy freight total cost of ownership (LDHF TCO) comparison tool
Following on from the review of existing studies into the economics of decarbonising long-distance heavy freight (LDHF) in New Zealand, Ara Ake has launched a free tool to help LDHF companies and the public sector better understand the options for decarbonising their road fleet.
The tool takes a ‘total cost of ownership’ (TCO) approach to calculating the cost of road freight movements. This means rather than just looking at the upfront cost of buying different types of vehicles, it estimates the relative costs of using different vehicles powered by different fuels for a given freight trip. It is intended to be a flexible tool for interested parties to determine what needs to be true for a vehicle and fuel combination to be the lowest-cost option.
The TCO comparison tool looks at trips carried out by vehicles powered by green and blue hydrogen, battery electric vehicles, drop-in and conventional biodiesels, and standard diesel internal combustion engine vehicles.
The tool comes with a set of inbuilt assumptions about various factors, such as the cost of electricity, vehicle capital costs, the cost of various fuels, and road user charges. It also incorporates typical data on average daily heavy freight trips provided by EROAD, including information on average daily kilometres travelled, average number and length of stops, and average speed. However, users are free to run and save their own scenarios and input their own data. It allows users to run their own scenarios and input their own data, enabling it to incorporate commercially sensitive data not yet in the public domain.
Ara Ake hopes this will be a useful resource for public and private sector decision-makers when they are making strategic decisions about transport investments. By making their scenarios fully customisable, users can also make decisions based on what they know and expect to be true, such as price paths for carbon over time.
The tool (available as a Microsoft Excel document) is accompanied by a user guide (available as a PDF file). Both are available for download free of charge, below.
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