Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8179
Main Title: Truncation Error Estimates in Process Life Cycle Assessment Using Input‐Output Analysis
Author(s): Ward, Hauke
Wenz, Leonie
Steckel, Jan Christoph
Minx, Jan
Type: Article
Language Code: en
Is Part Of: 10.14279/depositonce-6871
Abstract: Process life cycle assessment (PLCA) is widely used to quantify environmental flows associated with the manufacturing of products and other processes. As PLCA always depends on defining a system boundary, its application involves truncation errors. Different methods of estimating truncation errors are proposed in the literature; most of these are based on artificially constructed system complete counterfactuals. In this article, we review the literature on truncation errors and their estimates and systematically explore factors that influence truncation error estimates. We classify estimation approaches, together with underlying factors influencing estimation results according to where in the estimation procedure they occur. By contrasting different PLCA truncation/error modeling frameworks using the same underlying input‐output (I‐O) data set and varying cut‐off criteria, we show that modeling choices can significantly influence estimates for PLCA truncation errors. In addition, we find that differences in I‐O and process inventory databases, such as missing service sector activities, can significantly affect estimates of PLCA truncation errors. Our results expose the challenges related to explicit statements on the magnitude of PLCA truncation errors. They also indicate that increasing the strictness of cut‐off criteria in PLCA has only limited influence on the resulting truncation errors. We conclude that applying an additional I‐O life cycle assessment or a path exchange hybrid life cycle assessment to identify where significant contributions are located in upstream layers could significantly reduce PLCA truncation errors.
URI: https://depositonce.tu-berlin.de//handle/11303/9078
http://dx.doi.org/10.14279/depositonce-8179
Issue Date: 2017
Date Available: 11-Feb-2019
DDC Class: 330 Wirtschaft
Subject(s): truncation error estimate
process life-cycle assessment
input-output (IO) analysis
system boundary
service sectors
Sponsor/Funder: EC/FP7/603864/EU/High-End cLimate Impacts and eXtremes/HELIX
DFG, SFB 1026, Sustainable Manufacturing - Globale Wertschöpfung nachhaltig gestalten
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: Journal of industrial ecology
Publisher: Wiley-Blackwell
Publisher Place: Oxford [u.a.]
Volume: 22
Issue: 5
Publisher DOI: 10.1111/jiec.12655
Page Start: 1080
Page End: 1091
EISSN: 1530-9290
ISSN: 1088-1980
Appears in Collections:FG Ökonomie des Klimawandels » Publications

Files in This Item:
File Description SizeFormat 
Ward_etal_2017.pdf1.56 MBAdobe PDFThumbnail
View/Open


Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.