The EMA workbench tool can be used to tackle uncertainty in LCA modeling through computational experimentation and parameter ranges. A solar panel case study shows how it works.
The Community-Driven Life Cycle Inventory initiative (CDLCI) is on a mission to create and distribute high-quality data for sustainability practitioners—and we need your help.
For the best results, LCA experts should keep an eye out for tools from other fields. Let’s explore what LCA can learn from network science, its methods and ways of looking.
For LCA to truly take off, the LCA community needs to solve the information exchange and comparability challenge. A consortium of experts took a huge step during the EC-funded Remodelling project.