This tool is designed to provide several easy-to-understand graphics for everyday LCA practionners to quickly analyze their LCA results in Brightway.
The utils.py file gives useful tool for quickly LCA computations and analyse of the contributions. The dashboards.py provides the methods to gather all the results into three dashboards :
compare
to compare LCA results in different impact categories on the one hand,impact_transfer
to plot the variations of the contribution of the top processes (for the reference method) for each impact category to identify the impact transfers,hotspots
to analyze the contributions of each activity in different impact categories on the other hand.
All these methods are generated all at once in the method lca_graphic
The visualisations provided are direct or indirect outcomes from the scientific paper "Investigating Product Designer LCA Preferred Logics and Visualisations" Maud Rio, Florent Blondin, Peggy Zwolinski, Procedia CIRP, 2019, ISSN 2212-8271, https://doi.org/10.1016/j.procir.2019.04.293. (https://www.sciencedirect.com/science/article/pii/S2212827119309412)
The library works with the open-source US EEIO database US EEIO table, and available here (115MB download).
It works also with Ecoinvent database, and it could be updated for any database.
An example of the practical use of our tools can be found in the following notebook. Unfortunately, dashboards do not appear in the Github. Thus, the code should be executed on an Jupyter Notebook to see the dashboards for real. Brightway2.5 is required.
Do not hesitate to contribute to the improvements of this project to implement other features.