Does the use of pre-calculated uncertainty values change the conclusions of comparative life cycle assessments? – An empirical analysis
Abstract
In life cycle assessment (LCA), performing Monte Carlo simulation (MCS) using fully dependent sampling typically involves repeated inversion of a technology matrix for a sufficiently large number of times. As the dimension of technology matrices for life cycle inventory (LCI) databases grows, MCS using fully dependent sampling is becoming a computational challenge. In our previous work, we pre-calculated the distribution functions of the entire...
Paper Details
Title
Does the use of pre-calculated uncertainty values change the conclusions of comparative life cycle assessments? – An empirical analysis
Published Date
Dec 19, 2018
Journal
Volume
13
Issue
12
Pages
e0209474 - e0209474
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History