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
This study user-tested different data visualizations for highly uncertain life cycle assessments (LC...
The life cycle assessment (LCA) framework has established itself as the leading tool for the assessm...
The following thesis deals with methods to increase the reliability of the results in life cycle ass...
Abstract: Uncertainties in Life Cycle Assessment (LCA) initiatives play a major role in influencing ...
Today, life cycle assessment (LCA) is the most widely used approach to model and calculate the envir...
Life Cycle Assessment (LCA) has been applied to help decision-makers understand quantitative environ...
LCA results are typically reported as deterministic, while reality is uncertain and variable. Throug...
The interative nature of life-cycle assessment (LCA) means that more details are looked for until a ...
International audienceSince the emergence of Life Cycle Assessment (LCA), many studies have focused ...
Life cycle assessment (LCA) is increasingly becoming a common technique to assess the embodied energ...
To demonstrate and support sustainability of large-scale infrastructure projects, life cycle assessm...
Life cycle assessment (LCA) aims to support corporate and public policy decisions by quantifying the...
thus be different. In addition, in combination with the Monte Carlo simulation, calculations of corr...
For most applications trying to interpret the real world uncertainties will be an important factor t...
Interpretation of comparative Life Cycle Assessment (LCA) results can be challenging in the presence...
This study user-tested different data visualizations for highly uncertain life cycle assessments (LC...
The life cycle assessment (LCA) framework has established itself as the leading tool for the assessm...
The following thesis deals with methods to increase the reliability of the results in life cycle ass...
Abstract: Uncertainties in Life Cycle Assessment (LCA) initiatives play a major role in influencing ...
Today, life cycle assessment (LCA) is the most widely used approach to model and calculate the envir...
Life Cycle Assessment (LCA) has been applied to help decision-makers understand quantitative environ...
LCA results are typically reported as deterministic, while reality is uncertain and variable. Throug...
The interative nature of life-cycle assessment (LCA) means that more details are looked for until a ...
International audienceSince the emergence of Life Cycle Assessment (LCA), many studies have focused ...
Life cycle assessment (LCA) is increasingly becoming a common technique to assess the embodied energ...
To demonstrate and support sustainability of large-scale infrastructure projects, life cycle assessm...
Life cycle assessment (LCA) aims to support corporate and public policy decisions by quantifying the...
thus be different. In addition, in combination with the Monte Carlo simulation, calculations of corr...
For most applications trying to interpret the real world uncertainties will be an important factor t...
Interpretation of comparative Life Cycle Assessment (LCA) results can be challenging in the presence...
This study user-tested different data visualizations for highly uncertain life cycle assessments (LC...
The life cycle assessment (LCA) framework has established itself as the leading tool for the assessm...
The following thesis deals with methods to increase the reliability of the results in life cycle ass...