Speaker
Description
Life Cycle Assessments (LCA) of novel, low-TRL technologies are often constrained by low availability of inventory data. The assessment of input materials based on patent information one feasible approach to overcome the lack of data, e.g., for less-common chemical substances used as input materials for novel electrolytes.
This presentation highlights the approach applied in the SAGELi project to convert patent information into life cycle inventories. It combines the open-source process simulation tool DWSIM with Brightway. A python-based implementation of the process in DWSIM allows to estimate energy consumption, solvent use, and material needs for the synthesis of several substances in the project based on publicly available information in patents. The output from the process simulation in DWSIM is directly linked to Brightway to serve as life cycle inventory for LCA. The approach is exemplified for at least one case study on a component of the SAGELi project.
Overall, this work demonstrates how by combining the open tools DWSIM and Brightway, gaps in data can be filled and the robustness of LCA evaluations in early design stages improved.
Highlights:
• LCA from patent information
• Integration of process simulation (DWSIM) and Brightway for LCA
| How much time do you ideally wish for your contribution? | 10 min (Presentation, slides) |
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