This title appears in the Scientific Report :
2023
Please use the identifier:
http://hdl.handle.net/2128/34454 in citations.
Approaches to prospective LCA using different examples – hydrogen fuel cell ferries, magnesium batteries and offshore wind turbines
Approaches to prospective LCA using different examples – hydrogen fuel cell ferries, magnesium batteries and offshore wind turbines
The aim of prospective Life Cycle Assessment (LCA) is to assess the ecological impacts of emerging or future technology developments and thus to identify (undesirable) impacts at an early stage in line with the precautionary principle. Various methods can be used to collect foreground Life Cycle Inv...
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Personal Name(s): | Wulf, Christina (Corresponding author) |
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Benitez, Alicia / Bautista, Sebastian Pinto / Gomez Trillos, Juan Camilo / Erakca, Merve / Baumann, Manuel / Ersoy, Hüseyin / Weil, Marcel / Brand-Daniels, Urte | |
Contributing Institute: |
Systemforschung und Technologische Entwicklung; IEK-STE |
Imprint: |
2023
|
Conference: | 17th Society and Materials Conference, Karlsruhe (Germany), 2023-05-09 - 2023-05-10 |
Document Type: |
Poster |
Research Program: |
Societally Feasible Transformation Pathways |
Link: |
OpenAccess |
Publikationsportal JuSER |
The aim of prospective Life Cycle Assessment (LCA) is to assess the ecological impacts of emerging or future technology developments and thus to identify (undesirable) impacts at an early stage in line with the precautionary principle. Various methods can be used to collect foreground Life Cycle Inventory (LCI) data of such technologies that are used for prospective LCA, e.g. scenario techniques, learning curves or expert interviews. For prospective background LCI data futurized ecoinvent databases are available via premise.This contribution shows different approaches to prospective LCA using three technology examples of different TRL. Firstly, future developments of alternatively powered ferries (DBEV, FCEV, BEV) were surveyed by means of expert interviews and workshops. Secondly, learning curves and cumulative capacity curves were used to determine future technological developments for the rotor blades of offshore wind turbines from two manufacturers (Siemens Gamesa, Vestas). Furthermore, premise was applied to achieve a more realistic picture for future environmental impacts. Thirdly, to investigate potential environmental optimization potentials of a magnesium battery (Mg-S) based on expert judgement at very early TRL. Furthermore, the influence of different electric energy grid mix usage for production was analyzed. The technology developments were environmentally assessed by an LCA partly in comparison with conventional or rather status quo technologies, the results of which are presented in this contribution. |