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A critical perspective on uncertainty appraisal and sensitivity analysis in life cycle assessment

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  • Samuele Lo Piano
  • Lorenzo Benini

Abstract

In this study, we review approaches for uncertainty appraisal in the life cycle assessment literature. We cover the acknowledgment of stochastic and epistemic uncertainty in uncertainty and sensitivity analysis and knowledge quality assessment, respectively. Consistent with previous works, our findings indicate that uncertainty is only appraised in a few studies on life cycle assessment. Most of these contributions cover only one of the phases of life cycle assessment, mainly the life cycle inventory phase. Less attention has been devoted to the phases of goal and scope definition and life cycle impact assessment. Additionally, in most studies, uncertainty analysis and sensitivity analysis have been applied independently, as it is wrongly assumed they cover different uncertainty spaces. We also identify the scope for improvement in the appraisal of epistemic uncertainty and the correct definition of the probability distribution of the uncertain factors. We conclude by highlighting studies in which sensible practices have been adopted, identifying open challenges, and suggesting possible ways forward.

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  • Samuele Lo Piano & Lorenzo Benini, 2022. "A critical perspective on uncertainty appraisal and sensitivity analysis in life cycle assessment," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 763-781, June.
  • Handle: RePEc:bla:inecol:v:26:y:2022:i:3:p:763-781
    DOI: 10.1111/jiec.13237
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    1. Marta Kuc-Czarnecka & Samuele Lo Piano & Andrea Saltelli, 2020. "Quantitative Storytelling in the Making of a Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 775-802, June.
    2. Alexis Laurent & Bo P. Weidema & Jane Bare & Xun Liao & Danielle Maia de Souza & Massimo Pizzol & Serenella Sala & Hanna Schreiber & Nils Thonemann & Francesca Verones, 2020. "Methodological review and detailed guidance for the life cycle interpretation phase," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 986-1003, October.
    3. An M. De Schryver & Rosalie van Zelm & Sebastien Humbert & Stephan Pfister & Thomas E. McKone & Mark A. J. Huijbregts, 2011. "Value Choices in Life Cycle Impact Assessment of Stressors Causing Human Health Damage," Journal of Industrial Ecology, Yale University, vol. 15(5), pages 796-815, October.
    4. Laure Patouillard & Daphné Lorne & Pierre Collet & Cécile Bulle & Manuele Margni, 2020. "Prioritizing regionalization to enhance interpretation in consequential life cycle assessment: Application to alternative transportation scenarios using partial equilibrium economic modeling [Prior," Post-Print hal-03111911, HAL.
    5. Sudret, Bruno, 2008. "Global sensitivity analysis using polynomial chaos expansions," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 964-979.
    6. Stephen A. Ross & Lynette Cheah, 2017. "Uncertainty Quantification in Life Cycle Assessments: Interindividual Variability and Sensitivity Analysis in LCA of Air-Conditioning Systems," Journal of Industrial Ecology, Yale University, vol. 21(5), pages 1103-1114, October.
    7. Maija K. Mattinen & Ari Nissinen & Sampsa Hyysalo & Jouni K. Juntunen, 2015. "Energy Use and Greenhouse Gas Emissions of Air-Source Heat Pump and Innovative Ground-Source Air Heat Pump in a Cold Climate," Journal of Industrial Ecology, Yale University, vol. 19(1), pages 61-70, February.
    8. Khang, Dinh S. & Tan, Raymond R. & Uy, O. Manuel & Promentilla, Michael Angelo B. & Tuan, Phan D. & Abe, Naoya & Razon, Luis F., 2017. "Design of experiments for global sensitivity analysis in life cycle assessment: The case of biodiesel in Vietnam," Resources, Conservation & Recycling, Elsevier, vol. 119(C), pages 12-23.
    9. Jeroen P. Van Der Sluijs & Matthieu Craye & Silvio Funtowicz & Penny Kloprogge & Jerry Ravetz & James Risbey, 2005. "Combining Quantitative and Qualitative Measures of Uncertainty in Model‐Based Environmental Assessment: The NUSAP System," Risk Analysis, John Wiley & Sons, vol. 25(2), pages 481-492, April.
    10. Tuomas Mattila & Marjukka Kujanpää & Helena Dahlbo & Risto Soukka & Tuuli Myllymaa, 2011. "Uncertainty and Sensitivity in the Carbon Footprint of Shopping Bags," Journal of Industrial Ecology, Yale University, vol. 15(2), pages 217-227, April.
    11. Thies, Christian & Kieckhäfer, Karsten & Spengler, Thomas S. & Sodhi, Manbir S., 2019. "Operations research for sustainability assessment of products: A review," European Journal of Operational Research, Elsevier, vol. 274(1), pages 1-21.
    12. Heijungs, Reinout, 1994. "A generic method for the identification of options for cleaner products," Ecological Economics, Elsevier, vol. 10(1), pages 69-81, May.
    13. Borgonovo, E., 2007. "A new uncertainty importance measure," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 771-784.
    14. Carless, Travis S. & Griffin, W. Michael & Fischbeck, Paul S., 2016. "The environmental competitiveness of small modular reactors: A life cycle study," Energy, Elsevier, vol. 114(C), pages 84-99.
    15. Shannon M. Lloyd & Robert Ries, 2007. "Characterizing, Propagating, and Analyzing Uncertainty in Life‐Cycle Assessment: A Survey of Quantitative Approaches," Journal of Industrial Ecology, Yale University, vol. 11(1), pages 161-179, January.
    16. Jan L. Wenker & Hermann Achenbach & Stefan K. Diederichs & Sebastian Rüter, 2016. "Life Cycle Assessment of Wooden Interior Doors in Germany: A Sector-Representative Approach for a Complex Wooden Product According to EN 15804 Methodology," Journal of Industrial Ecology, Yale University, vol. 20(4), pages 730-742, August.
    17. Laure Patouillard & Pierre Collet & Pascal Lesage & Pablo Tirado Seco & Cécile Bulle & Manuele Margni, 2019. "Prioritizing regionalization efforts in life cycle assessment through global sensitivity analysis: a sector meta-analysis based on ecoinvent v3," Post-Print hal-02408818, HAL.
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    1. Yue Ren & Xin Sun & Paul Wolfram & Shaoqiong Zhao & Xu Tang & Yifei Kang & Dongchang Zhao & Xinzhu Zheng, 2023. "Hidden delays of climate mitigation benefits in the race for electric vehicle deployment," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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