Mitigating climate change requires the development of new chemical processes (Shukla et al., 2022). Confirming their climate benefits requires life cycle assessment (LCA). Still, in practice, LCAs of chemical processes are often conducted by manually extracting data from process simulation software and transferring it to LCA tools (Köck et al., 2023). This manual approach is time-consuming,...
In sustainability research, and especially in Life Cycle Assessment (LCA), practitioners face two recurring challenges when working with chemical products in inventories:
- Finding the exact chemical – Large datasets such as ecoinvent contain inconsistent naming, multiple synonyms, and sometimes missing identifiers, making it difficult to locate the right entry.
- Finding a suitable...
The accuracy and reliability of LCA results heavily depend on LCA databases. However, missing data and the cumbersome process of searching and comparing datasets makes LCA modelling manual inefficient, and error prone. The project aims to integrate Graph Retrieval-augmented Generation (GraphRAG) with Ecoinvent to make inventory search process simpler, and reliable. Retrieval-Augmented...
