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  PRospective EnvironMental Impact asSEment (premise): A streamlined approach to producing databases for prospective life cycle assessment using integrated assessment models

Sacchi, R., Terlouw, T., Siala, K., Dirnaichner, A., Bauer, C., Cox, B., Mutel, C., Daioglou, V., Luderer, G. (2022): PRospective EnvironMental Impact asSEment (premise): A streamlined approach to producing databases for prospective life cycle assessment using integrated assessment models. - Renewable and Sustainable Energy Reviews, 160, 112311.
https://doi.org/10.1016/j.rser.2022.112311

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 Creators:
Sacchi, R.1, Author
Terlouw, T.1, Author
Siala, Kais2, Author              
Dirnaichner, Alois2, Author              
Bauer, C.1, Author
Cox, B.1, Author
Mutel, C.1, Author
Daioglou, V.1, Author
Luderer, Gunnar2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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Free keywords: Prospective scenario Integrated assessment model Emerging technology Life cycle assessment
 Abstract: Prospective Life Cycle Assessment (pLCA) is useful to evaluate the environmental performance of current and emerging technologies in the future. Yet, as energy systems and industries are rapidly shifting towards cleaner means of production, pLCA requires an inventory database that encapsulates the expected changes in technologies and the environment at a given point in time, following specific socio-techno-economic pathways. To this end, this study introduces premise, a tool to streamline the generation of prospective inventory databases for pLCA by integrating scenarios generated by Integrated Assessment Models (IAM). More precisely, premise applies a number of transformations on energy-intensive activities found in the inventory database ecoinvent according to projections provided by the IAM. Unsurprisingly, the study shows that, within a given socio-economic narrative, the climate change mitigation target chosen affects the performance of nearly all activities in the database. This is illustrated by focusing on the effects observed on a few activities, such as systems for direct air capture of CO2, lithium-ion batteries, electricity and clinker production as well as freight transport by road, in relation to the applied sector-based transformation and the chosen climate change mitigation target. This work also discusses the limitations and challenges faced when coupling IAM and LCA databases and what improvements are to be brought in to further facilitate the development of pLCA.

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Language(s): eng - English
 Dates: 2022-02-012021-02-212022-03-032022-05
 Publication Status: Finally published
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.rser.2022.112311
PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD3 - Transformation Pathways
MDB-ID: yes - 3327
Research topic keyword: 1.5/2°C limit
Research topic keyword: Attribution
Research topic keyword: Decarbonization  
Research topic keyword: Energy
Regional keyword: Global
Model / method: REMIND
Working Group: Energy Systems
OATYPE: Hybrid Open Access
 Degree: -

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Title: Renewable and Sustainable Energy Reviews
Source Genre: Journal, SCI, Scopus, p3
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Publ. Info: -
Pages: - Volume / Issue: 160 Sequence Number: 112311 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/141119
Publisher: Elsevier