Abstract
Purpose
Due to the large environmental challenges posed by the transport sector, reliable and state-of-the art data for its life cycle assessment is essential for enabling a successful transition towards more sustainable systems. In this paper, the new electric passenger car transport and vehicle datasets, which have been developed for ecoinvent version 3, are presented.
Methods
The new datasets have been developed with a strong modular approach, defining a hierarchy of datasets corresponding to various technical components in the vehicle. A vehicle is therefore modelled by linking together the various component datasets. Also, parameters and mathematical formulas have been introduced in order to define the amount of exchanges in the datasets through common transport and vehicle characteristics. This supports users in the choice of the amount of exchanges and enhances the transparency of the dataset.
Results
The new transport dataset describes the transport over 1 km with a battery electric passenger car taking into account the vehicle production and end of life, the energy consumption due to the use phase, non-exhaust emissions, maintenance and road infrastructure. The dataset has been developed and is suitable for a compact class vehicle.
Conclusions
A new electric passenger car transport dataset has been developed for version 3 of the ecoinvent database which exploits modularisation and parameters with the aim of facilitating users in adapting the data to their specific needs. Apart from the direct use of the transport dataset for background data, the various datasets for the different components can also be used as building blocks for virtual vehicles.
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Acknowledgments
We are thankful to our colleagues at the Paul Scherrer Institute Christian Bauer and Andrew Simons for valuable support.
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Del Duce, A., Gauch, M. & Althaus, HJ. Electric passenger car transport and passenger car life cycle inventories in ecoinvent version 3. Int J Life Cycle Assess 21, 1314–1326 (2016). https://doi.org/10.1007/s11367-014-0792-4
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DOI: https://doi.org/10.1007/s11367-014-0792-4