Disentangling the web: towards a better characterization of the ecoinvent life cycle assessment technosphere database
Keenan-Koch, Fitzwilliam
Keenan-Koch, Fitzwilliam
Citations
Altmetric:
License
License
Abstract
We present a network-based approach to life cycle assessment (LCA) using Python and containerized software for scalable data processing. First, we characterize the Ecoinvent technosphere using GDP heatmaps, degree distribution, and centrality to reveal key patterns in supply chains. Interactive tools enable real-time filtering and exploration, as well as a shift to smaller case studies. Findings highlight the importance of geospatial distribution in LCA and suggest the ability to find key sub-networks earlier in the process. Ongoing work will refine visualizations, improve performance, and enhance integration of dynamic local data, advancing LCA interpretability and usability.
Description
Date
2025-06-02
Student Status
Graduate
Journal Title
Journal ISSN
Volume Title
Type of presentation
Poster Presentation
Collections
Research Projects
Organizational Units
Journal Issue
Citation
DOI
Advisor(s)
Department
Program/Major
Data Science
College/School
College of Engineering and Mathematical Sciences
Organization
item.page.researchcategory
Engineering and Math Science