Exploring automotive supplier data in life cycle assessment – Precision versus workload
Journal article, 2022

The International Material Data System (IMDS) can be used as data source for life cycle assessments (LCAs) in the automotive industry. The level of data aggregation and degree of completeness affect precision of LCA results and required workload. This paper assesses this trade-off. Life cycle impact assessment scores for an engine, modelled as detailed as possible, were compared to results for seven simplified modelling options. The study concludes that: (1) employing IMDS data with lower resolution reduced the workload marginally; (2) cutting-off materials below 1 wt-% greatly decreased workload while maintaining reasonable precision; (3) decreasing the number of substances representing each material largely affected scores for most impact categories except a few, including the climate change category, while (4) excluding complementary data for manufacturing significantly impacted greenhouse gas emissions. Since modelling choices affect the impact categories differently, aligning choices with the purpose of the study and available workload is paramount.

Life cycle assessment (LCA)

International Material Data System (IMDS)

Life cycle inventory (LCI)

Automotive industry

Author

Felipe Bitencourt de Oliveira

Volvo Cars

Chalmers, Technology Management and Economics, Environmental Systems Analysis

Anders Nordelöf

Chalmers, Technology Management and Economics, Environmental Systems Analysis

Björn Sandén

Chalmers, Technology Management and Economics, Environmental Systems Analysis

Anna Widerberg

Volvo Cars

Anne-Marie Tillman

Chalmers, Technology Management and Economics, Environmental Systems Analysis

Transportation Research Part D: Transport and Environment

1361-9209 (ISSN)

Vol. 105 103247

LCA as a tool for the development of energy-efficient future cars

Swedish Energy Agency (44438-1), 2017-06-01 -- 2021-09-30.

Driving Forces

Sustainable development

Subject Categories

Other Environmental Engineering

Environmental Sciences

DOI

10.1016/j.trd.2022.103247

Related datasets

Journal article supporting information [dataset]

URI: https://ars.els-cdn.com/content/image/1-s2.0-S1361920922000773-mmc1.pdf

More information

Latest update

5/23/2022