Publication
Title
Prospective consequential life cycle assessment : identifying the future marginal suppliers using integrated assessment models
Author
Abstract
Previous research efforts have focused on developing prospective life cycle inventory databases that build upon projections from integrated assessment models but were limited to attributional system models. A novel approach is required to construct consequential LCI databases that can be applied consistently on a large scale. To this end, the heuristic approach from Bo Weidema was selected as a basis for this study. This approach has been validated with historical data and was adapted in this study to identify the marginal suppliers in a prospective context. The different steps within the approach were analyzed, and alternative techniques for each step within the heuristic method were proposed. The techniques were tested on the future electricity sector using projections from two integrated assessment models (IMAGE and REMIND). Results show the sensitivity of results on the modelling technique selected in each step. The most sensitive step is the selection of the time interval, with even small changes resulting in a noticeable difference. In addition, the results also showed a substantial difference between the projections of the two models. The relevance and goals of the alternative techniques for each step were discussed to guide users in forming the heuristic method for their study.
Language
English
Source (journal)
Renewable and sustainable energy reviews. - Oxford, 1997, currens
Publication
Oxford : Elsevier Science , 2023
ISSN
1364-0321 [print]
1879-0690 [online]
DOI
10.1016/J.RSER.2023.113830
Volume/pages
188 (2023) , p. 1-12
Article Reference
113830
ISI
001091861500001
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Integrating the future in life cycle assessment? An ex-ante case study of emerging innovative slag treatment technologies.
Assessing technologies when it matters the most: A methodological framework to perform ex-ante LCA on innovative concrete technologies.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 12.10.2023
Last edited 09.10.2024
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