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  Deriving life cycle assessment coefficients for application in integrated assessment modelling

Arvesen, A., Luderer, G., Pehl, M., Bodirsky, B. L., Hertwich, E. G. (2018): Deriving life cycle assessment coefficients for application in integrated assessment modelling. - Environmental Modelling and Software, 99, 111-125.
https://doi.org/10.1016/j.envsoft.2017.09.010

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 Creators:
Arvesen, A.1, Author
Luderer, Gunnar2, Author              
Pehl, Michaja2, Author              
Bodirsky, Benjamin Leon2, Author              
Hertwich, E. G.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The fields of life cycle assessment (LCA) and integrated assessment (IA) modelling today have similar interests in assessing macro-level transformation pathways with a broad view of environmental concerns. Prevailing IA models lack a life cycle perspective, while LCA has traditionally been static- and micro-oriented. We develop a general method for deriving coefficients from detailed, bottom-up LCA suitable for application in IA models, thus allowing IA analysts to explore the life cycle impacts of technology and scenario alternatives. The method decomposes LCA coefficients into life cycle phases and energy carrier use by industries, thus facilitating attribution of life cycle effects to appropriate years, and consistent and comprehensive use of IA model-specific scenario data when the LCA coefficients are applied in IA scenario modelling. We demonstrate the application of the method for global electricity supply to 2050 and provide numerical results (as supplementary material) for future use by IA analysts.

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 Dates: 2018
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.envsoft.2017.09.010
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
PIKDOMAIN: Sustainable Solutions - Research Domain III
eDoc: 7813
Research topic keyword: 1.5/2°C limit
Research topic keyword: Energy
Research topic keyword: Health
Research topic keyword: Ecosystems
Research topic keyword: Decarbonization  
Model / method: REMIND
Model / method: Model Intercomparison
Regional keyword: Global
Organisational keyword: RD3 - Transformation Pathways
Organisational keyword: RD2 - Climate Resilience
Working Group: Land Use and Resilience
Working Group: Energy Systems
 Degree: -

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Title: Environmental Modelling and Software
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 99 Sequence Number: - Start / End Page: 111 - 125 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals127