Data validation in Life Cycle assessment: A review

Nkosinathi Madushela; Charles Mbohwa; Esther T. Akinlabi

Data validation in Life Cycle assessment: A review

Nkosinathi Madushela
, Charles Mbohwa
, Esther T. Akinlabi

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (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 language	English
Title of host publication	WCECS 2016 - World Congress on Engineering and Computer Science 2016
Editors	Warren S. Grundfest, Craig Douglas, S. I. Ao
Publisher	Newswood Limited
Pages	948-951
Number of pages	4
ISBN (Electronic)	9789881404824
Publication status	Published - 2016
Event	2016 World Congress on Engineering and Computer Science, WCECS 2016 - San Francisco, United States Duration: 19 Oct 2016 → 21 Oct 2016

Publication series

Name	Lecture Notes in Engineering and Computer Science
Volume	2226
ISSN (Print)	2078-0958

Conference

Conference	2016 World Congress on Engineering and Computer Science, WCECS 2016
Country/Territory	United States
City	San Francisco
Period	19/10/16 → 21/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action

Keywords

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

ASJC Scopus subject areas

Computer Science (miscellaneous)

Cite this

@inproceedings{034331d3eb374ac7a67696b4851630c9,

title = "Data validation in Life Cycle assessment: A review",

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.",

keywords = "Global warming potential, greenhouse gases, monte carlo simulation, Pedigree matrix",

author = "Nkosinathi Madushela and Charles Mbohwa and Akinlabi, \{Esther T.\}",

year = "2016",

language = "English",

series = "Lecture Notes in Engineering and Computer Science",

publisher = "Newswood Limited",

pages = "948--951",

editor = "Grundfest, \{Warren S.\} and Craig Douglas and Ao, \{S. I.\}",

booktitle = "WCECS 2016 - World Congress on Engineering and Computer Science 2016",

note = "2016 World Congress on Engineering and Computer Science, WCECS 2016 ; Conference date: 19-10-2016 Through 21-10-2016",

}

Madushela, N, Mbohwa, C & Akinlabi, ET 2016, Data validation in Life Cycle assessment: A review. in WS Grundfest, C Douglas & SI Ao (eds), WCECS 2016 - World Congress on Engineering and Computer Science 2016. Lecture Notes in Engineering and Computer Science, vol. 2226, Newswood Limited, pp. 948-951, 2016 World Congress on Engineering and Computer Science, WCECS 2016, San Francisco, United States, 19/10/16.

Data validation in Life Cycle assessment: A review. / Madushela, Nkosinathi; Mbohwa, Charles ; Akinlabi, Esther T.
WCECS 2016 - World Congress on Engineering and Computer Science 2016. ed. / Warren S. Grundfest; Craig Douglas; S. I. Ao. Newswood Limited, 2016. p. 948-951 (Lecture Notes in Engineering and Computer Science; Vol. 2226).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data validation in Life Cycle assessment

T2 - 2016 World Congress on Engineering and Computer Science, WCECS 2016

AU - Madushela, Nkosinathi

AU - Mbohwa, Charles

AU - Akinlabi, Esther T.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Global warming potential, greenhouse gases, monte carlo simulation

KW - Pedigree matrix

UR - https://www.scopus.com/pages/publications/85013356497

M3 - Conference contribution

AN - SCOPUS:85013356497

T3 - Lecture Notes in Engineering and Computer Science

SP - 948

EP - 951

BT - WCECS 2016 - World Congress on Engineering and Computer Science 2016

A2 - Grundfest, Warren S.

A2 - Douglas, Craig

A2 - Ao, S. I.

PB - Newswood Limited

Y2 - 19 October 2016 through 21 October 2016

ER -

Data validation in Life Cycle assessment: A review

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this