Sylvia Sleep

Dr. Sylvia Sleep

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 October 2019 in Journal of Industrial Ecology
Verified
Journal Article
Open access
PDF file
JBJoule A. Bergerson
Joule A. Bergerson
ABAdam Brandt
Adam Brandt
JCJoe Cresko
Joe Cresko
Michael Carbajales-DaleMichael Carbajales-Dale
Michael Carbajales-Dale
HMHeather L. MacLean
Heather L. MacLean
SSSylvia Sleep
Sylvia Sleep
Life cycle assessment (LCA) analysts are increasingly being asked to conduct life cycle‐based systems level analysis at the earliest stages of technology development. While early assessments provide the greatest opportunity to influence design and ultimately environmental performance, it is the stage with the least available data, greatest uncertainty, and a paucity of analytic tools for addressing these challenges. While the fundamental approach to conducting an LCA of emerging technologies is akin to that of LCA of existing technologies, emerging technologies pose additional challenges. In this paper, we present a broad set of market and technology characteristics that typically influence an LCA of emerging technologies and identify questions that researchers must address to account for the most important aspects of the systems they are studying. The paper presents: (a) guidance to identify the specific technology characteristics and dynamic market context that are most relevant and unique to a particular study, (b) an overview of the challenges faced by early stage assessments that are unique because of these conditions, (c) questions that researchers should ask themselves for such a study to be conducted, and (d) illustrative examples from the transportation sector to demonstrate the factors to consider when conducting LCAs of emerging technologies. The paper is intended to be used as an organizing platform to synthesize existing methods, procedures and insights and guide researchers, analysts and technology developer to better recognize key study design elements and to manage expectations of study outcomes.

5 June 2012 in Environmental Science & Technology
Verified
Journal Article
Closed access
JBJoule A. Bergerson
Joule A. Bergerson
OKOyeshola Kofoworola
Oyeshola Kofoworola
ACAlex D. Charpentier
Alex D. Charpentier
SSSylvia Sleep
Sylvia Sleep
HMHeather L. MacLean
Heather L. MacLean

12 May 2011 in Biofuels, Bioproducts and Biorefining
Verified
Journal Article
Closed access
PDF file
JMJon McKechnie
Jon McKechnie
YZYimin Zhang
Yimin Zhang
AOAkifumi Ogino
Akifumi Ogino
BSBrad Saville
Brad Saville
SSSylvia Sleep
Sylvia Sleep
Heather L MacLeanHeather L MacLean
Heather L MacLean

1 February 2017 in Journal of Cleaner Production
Verified
Journal Article
Closed access
SSSylvia Sleep
Sylvia Sleep
JMJennifer M. McKellar
Jennifer M. McKellar
JBJoule A. Bergerson
Joule A. Bergerson
HMHeather L. MacLean
Heather L. MacLean

1 January 2021 in Journal of Cleaner Production
Verified
Journal Article
Open access
SSSylvia Sleep
Sylvia Sleep
ZDZainab Dadashi
Zainab Dadashi
YCYuanlei Chen
Yuanlei Chen
ABAdam R. Brandt
Adam R. Brandt
HMHeather L. MacLean
Heather L. MacLean
JBJoule A. Bergerson
Joule A. Bergerson

1 January 2017 in Energy Policy
Verified
Journal Article
Closed access
JMJennifer M. McKellar
Jennifer M. McKellar
SSSylvia Sleep
Sylvia Sleep
JBJoule A. Bergerson
Joule A. Bergerson
HMHeather L. MacLean
Heather L. MacLean