Data for MSc Thesis: `Consensus-based single-score life cycle assessment for space missions'
doi: 10.4121/3d497ca7-876c-4b77-b835-142cbbff1e14
General information
This dataset is part of the MSc thesis `Consensus-based single-score life cycle assessment for space missions' at Search results | TU Delft Repositories
An older version of the dataset was also used for the conference paper `A Consensus-Based Single-Score for Life Cycle Assessment of Space Missions: Preliminary Results', which can be found through the DOI 10.13009/EUCASS2023-571, or on EUCASS's website (www.eucass.eu - EUCASS Full Papers)
Abstract of the thesis
With a continuously growing number of satellites in orbit, it becomes increasingly important to assess their impacts on the Earth's environment in a standardised manner. While interest in Life Cycle Assessment (LCA) for space missions has gained in strength in the past few years – particularly in Europe – no consensus has yet been reached on a single-score LCA system.
In this thesis, a consensus-based space LCA single-score is created through an international survey of experts. The report demonstrates retroactively the single-score’s use for the ecodesign of the Delft University of Technology’s Delfi-n3Xt space mission. A discussion is also held on ways of implementing the single-score into early design phases. Overall, this thesis highlights the importance of an easy-to-understand LCA tool for space systems. It shows the necessity for a tool that is implementable during the design phase of the mission, to incentivise space actors to further consider environmental impacts.
Contents of the dataset
This dataset contains Excel sheets with:
- the analysed answers of the survey done to reach a consensus on a space LCA single-score
- the results of Delfi-n3Xt's LCA
- the calculations made to obtain the recommended weighting factors.
Important note:
A specific README.txt file is part of this dataset and is recommended to be read first
- 2023-10-13 first online, published, posted
DATA
- 4,911 bytesMD5:
303a25bf1dd6e5e1267fc0e99dd26db1
README.txt - 850,138 bytesMD5:
de3d8720a6f0f76ccd3b9ee16d8ee52e
Data.zip -
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