NDLI: Statistical analysis of empirical lifetime mileage data for automotive LCA

Content Provider	Springer Nature Link
Author	Weymar, Elisabeth Finkbeiner, Matthias
Copyright Year	2016
Abstract	Innovative fuel efficiency technologies as for example electrification and lightweight materials typically lead to a shift of emissions from the use phase to the production phase of a vehicle. Whether the efforts of applying sophisticated fuel saving technologies pay back in environmental terms over the products’ lifetime depends directly on the lifetime mileage assumed. Currently, different “educated guess” values of industry associations and car manufacturers ranging from 150,000 to 300,000 km are applied in automotive life cycle assessment (LCA). This study improves the database for LCA practitioners in the automotive industry by statistically determining empirical lifetime mileage values for different types of passenger cars.The analysis of different data sets of a sample of more than 800,000 vehicles in Germany is performed by using statistical techniques. Firstly, survival analysis is used to describe the typical lifetime of passenger cars by using the Weibull distribution. Secondly, regression analysis is used to describe the progression of mileage during the course of a car’s life. The analysis differentiates eight different segments from urban small cars (A000) over midsized cars (A00, A0, A, B, C, D) to ultra luxury cars (E) as well as Otto and diesel engines.The results show varying lifetimes and mileages of passenger cars depending on the engine type and vehicle segment. Many decisions on innovative automotive technologies are independent from the engine type. In this case, the recommendation of the authors is to differentiate between three different groups of segments (A00/A0, A/B, C) with mileages going from 170,000 over 200,000 to 230,000 km. There might even be cases where the usage of a segment-specific value is not recommended. In such cases, the average value of the obtained results of 200,000 km appears as feasible choice. Even though the primary data are from Germany only, it is assumed that the results obtained in this study can be used as a proxy estimate for the geographical area of Europe.The results of this paper can be used as default values for LCA practitioners performing automotive LCAs as they provide evidence-based values of passenger cars’ lifetimes and mileages in a disaggregated way. The previously often used assumption of 150,000 km based on educated guess represents an underestimated value and should be replaced by the data obtained in this study. Using the proposed lifetime mileage data improves the validity and representativeness of automotive LCAs in Europe.
Starting Page	215
Ending Page	223
Page Count	9
File Format	PDF
ISSN	09483349
Journal	The International Journal of Life Cycle Assessment
Volume Number	21
Issue Number	2
e-ISSN	16147502
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-01-07
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Automotive End-of-life LCA Lifetime Mileage Passenger car Weibull distribution Environment Environmental Economics Environmental Engineering/Biotechnology Environmental Chemistry
Content Type	Text
Resource Type	Article
Subject	Environmental Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Electric car life cycle assessment based on real-world mileage and the electric conversion scenario

Attributional and consequential LCA in the ILCD handbook

The life cycle assessment of a UK data centre

Electric passenger car transport and passenger car life cycle inventories in ecoinvent version 3

Environmental impacts of end-of-life vehicles’ management: recovery versus elimination

Data for social LCA

LCA study of unconsumed food and the influence of consumer behavior

End-of-life modelling in life cycle assessment—material or product-centred perspective?

Introducing a new method for calculating the environmental credits of end-of-life material recovery in attributional LCA

Statistical analysis of empirical lifetime mileage data for automotive LCA

Similar Documents

Electric car life cycle assessment based on real-world mileage and the electric conversion scenario

Attributional and consequential LCA in the ILCD handbook

The life cycle assessment of a UK data centre

Electric passenger car transport and passenger car life cycle inventories in ecoinvent version 3

Environmental impacts of end-of-life vehicles’ management: recovery versus elimination

Data for social LCA

LCA study of unconsumed food and the influence of consumer behavior

End-of-life modelling in life cycle assessment—material or product-centred perspective?

Introducing a new method for calculating the environmental credits of end-of-life material recovery in attributional LCA

Statistical analysis of empirical lifetime mileage data for automotive LCA