2018
DOI: 10.1111/jiec.12807
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LiSET: A Framework for Early‐Stage Life Cycle Screening of Emerging Technologies

Abstract: Summary While life cycle assessment (LCA) is a tool often used to evaluate the environmental impacts of products and technologies, the amount of data required to perform such studies make the evaluation of emerging technologies using the conventional LCA approach challenging. The development paradox is such that the inputs from a comprehensive environmental assessment has the greatest effect early in the development phase, and yet the data required to perform such an assessment are generally lacking until it i… Show more

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Cited by 38 publications
(22 citation statements)
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“…Using screening and streamlined LCA concepts, Hung et al. () developed a framework, the Lifecycle Screening of Emerging Technologies (LiSET) for an efficient environmental evaluation of emerging technologies at low TRLs (lab scale or design phase). They proposed an adaptable screening‐to‐streamlined‐to‐full LCA method which can be useful to evaluate feasibility of new technologies and identify candidates to pursue further in the development process.…”
Section: Toward a Framework For Lca Of Emerging Technologiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Using screening and streamlined LCA concepts, Hung et al. () developed a framework, the Lifecycle Screening of Emerging Technologies (LiSET) for an efficient environmental evaluation of emerging technologies at low TRLs (lab scale or design phase). They proposed an adaptable screening‐to‐streamlined‐to‐full LCA method which can be useful to evaluate feasibility of new technologies and identify candidates to pursue further in the development process.…”
Section: Toward a Framework For Lca Of Emerging Technologiesmentioning
confidence: 99%
“…However, there are several methodological challenges to perform LCA of emerging technologies at research and development stages (Gavankar, Suh, & Keller, ; Tufvesson, Tufvesson, Woodley, & Borjesson, ). Recent developments in the literature show trends of proposing new methodologies for the application of LCA to assess emerging technologies (Cooper & Gutowski, ; Hung, Ellingsen, & Majeau‐Bettez, ; Prado & Heijungs, ; Ravikumar, Seager, Cucurachi, Prado, & Mutel, ). In this study, we review articles to analyze the methodological challenges to perform LCA of emerging technologies and discuss different approaches to resolve these challenges and recommend future research direction.…”
Section: Introductionmentioning
confidence: 99%
“…The case study of the impact of electric vehicle penetration helps to emphasize the need to acknowledge epistemological uncertainty and to increase the temporal consistency of foreground and background systems in LCAs of emerging technologies. The second methods paper is titled “LiSET: A framework for early‐stage life cycle screening of emerging technologies”(Hung, Ellingsen, & Majeau‐Bettez, ). This paper identifies a need for tools to rapidly screen large numbers of early‐development technology candidates where data are sparse.…”
Section: Methods For Assessing Emerging Technologiesmentioning
confidence: 99%
“…Emphasis should be placed on novel interpretation and presentation techniques to ensure that stakeholders appreciate the degrees of uncertainty, as well as the value of inconclusive but directional insights, to aid in technology development and to highlight potential unintended consequences. Simplified LCA or screening approaches may be more appropriate in this quadrant (e.g., Hung, Ellingsen, & Majeau‐Bettez, ; Hur et al., ; Marco, Ferruccio, Michele, Faraldi, & Polverini, ). It is imperative that the analyst communicate that the set of preliminary configurations and conditions selected for the analysis likely do not reflect the full set of potential conditions and applications for that technology (Tuomisto & Teixeira De Mattos, ).…”
Section: Characteristics and Lca Challenges For The Four Maturity Quamentioning
confidence: 99%
“…The literature on LCA of emerging technologies includes many case studies, variously using terms such as prospective (Mendoza Beltran et al., ; Cooper & Gutowski, ; Raugei & Winfield, ; Sathre et al., ; Wender & Seager, ), early stage (Cramer, ; Hetherington et al., ; Hung, Ellingsen, & Majeau‐Bettez, ), ex ante (Hesser, ; Villares, Işıldar, Van der Giesen, & Guinée, ; Zhou et al., ), anticipatory (Gifford, Chester, Hristovski, & Westerhoff, ; Kendall & Yuan, ; Mattick, Landis, Allenby, & Genovese, ; Ravikumar, Seager, Cucurachi, Prado, & Mutel, ; Tsang, Philippot, Aymonier, & Sonnemann, ; Wender et al., ; Wender, Foley, Guston, Seager, & Wiek, ), explorative (Steubing, Mutel, Suter, & Hellweg, ), and scenario‐based (Arvidsson et al., ) LCA. The diversity of terms mirrors the wide range of available methods and disparate language employed across the LCA community.…”
Section: Introductionmentioning
confidence: 99%