Abstract
Uncertainties in Life Cycle Assessment (LCA)
initiatives play a major role in influencing government policies
and corporations strategic plans. Thus it is important to ensure
that the models of LCA initiatives are modeled such that they
resemble emissions in the real world. In the paper the authors
have reviewed the uncertainty tools used in LCA initiatives. This
is conducted in hopes that LCA modelers understand the
limitations and advantages associated with LCAs, and also
identify areas where they can refine their data. In an event
where there is a shortage of data, conservative means which can
be used to approximate data to best model the effects of Global
Warming in the real world are discussed.