Data validation in Life Cycle assessment: A review

Nkosinathi Madushela, Charles Mbohwa, Esther T. Akinlabi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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 this paper, the authors have reviewed the uncertainty tools used in LCA initiatives. This is conducted such that LCA modelers understand the limitations and advantages associated with LCAs, and also identify areas where data can be refined. In an event where there is a shortage of data, conservative means can be used to approximate data to best model the effects of Global Warming in the real world are discussed.

Original languageEnglish
Title of host publicationWCECS 2016 - World Congress on Engineering and Computer Science 2016
EditorsWarren S. Grundfest, Craig Douglas, S. I. Ao
PublisherNewswood Limited
Pages948-951
Number of pages4
ISBN (Electronic)9789881404824
Publication statusPublished - 2016
Event2016 World Congress on Engineering and Computer Science, WCECS 2016 - San Francisco, United States
Duration: 19 Oct 201621 Oct 2016

Publication series

NameLecture Notes in Engineering and Computer Science
Volume2226
ISSN (Print)2078-0958

Conference

Conference2016 World Congress on Engineering and Computer Science, WCECS 2016
Country/TerritoryUnited States
CitySan Francisco
Period19/10/1621/10/16

Keywords

  • Global warming potential, greenhouse gases, monte carlo simulation
  • Pedigree matrix

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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