Data innovation will drive transformation in sustainability
To transition to a truly sustainable world, we need to scale up LCA massively. New technologies and data innovation make that possible. We’ve already tried it in real life!
To transition to a truly sustainable world, we need to scale up LCA massively. New technologies and data innovation make that possible. We’ve already tried it in real life!
Three main challenges are defining the fact-based sustainability world right now: data, standardization and collaboration. At PRé, we’re already working on the key next steps.
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.
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.
Custom tools Life cycle assessment Data development
Large US-based company Steelcase does many LCAs per year. To make that easier, PRé built an LCI automation tool that reduces both the data entry work and the chance of errors.
Exchanging data with other LCA practitioners is tricky. Recently, many new tools have been created for conversion into and out of the ILCD format, which makes converting datasets and sharing data and models much easier.
SimaPro Life cycle assessment Data development
For the International Institute of Synthetic Rubber Products (IISRP), PRé conducted four LCAs on different types of synthetic rubber. This empowers IISRP’s 60 members to respond to customer queries about their environmental impacts.