Sacchi, R.
[Author];
Terlouw, T.
[Author];
Siala, K.
[Author];
Dirnaichner, A.
[Author];
Bauer, C.
[Author];
Cox, B.
[Author];
Mutel, C.
[Author];
Daioglou, V.
[Author];
Luderer, G.
[Author]
PRospective EnvironMental Impact asSEment (premise): A streamlined approach to producing databases for prospective life cycle assessment using integrated assessment models
You can manage bookmarks using lists, please log in to your user account for this.
Media type:
E-Article
Title:
PRospective EnvironMental Impact asSEment (premise): A streamlined approach to producing databases for prospective life cycle assessment using integrated assessment models
Contributor:
Sacchi, R.
[Author];
Terlouw, T.
[Author];
Siala, K.
[Author];
Dirnaichner, A.
[Author];
Bauer, C.
[Author];
Cox, B.
[Author];
Mutel, C.
[Author];
Daioglou, V.
[Author];
Luderer, G.
[Author]
Published:
Publication Database PIK (Potsdam Institute for Climate Impact Research), 2022-05
Published in:Renewable and Sustainable Energy Reviews
Language:
English
DOI:
https://doi.org/10.1016/j.rser.2022.112311
Origination:
Footnote:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Description:
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.