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Sensitivity analysis to quantify uncertainty in Life Cycle Assessment: The case study of an Italian tile

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  • Cellura, Maurizio
  • Longo, Sonia
  • Mistretta, Marina

Abstract

The results of a Life Cycle Assessment (LCA) study can be affected by several uncertainty sources, mainly due to the methodological choices, the initial assumptions, i.e. allocation rules, system boundaries and impact assessment methods, and the quality of the available data. Then, the experts should estimate the extent of the above-mentioned sources of uncertainty for improving the reliability and the representativeness of the obtained eco-profiles. To estimate the uncertainty is necessary to obtain reliable, transparent and representative LCA results and to correctly support decision-makers in the selection of different product or process options.

Suggested Citation

  • Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2011. "Sensitivity analysis to quantify uncertainty in Life Cycle Assessment: The case study of an Italian tile," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4697-4705.
  • Handle: RePEc:eee:rensus:v:15:y:2011:i:9:p:4697-4705
    DOI: 10.1016/j.rser.2011.07.082
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    1. Ardente, Fulvio & Beccali, Giorgio & Cellura, Maurizio & Lo Brano, Valerio, 2005. "Life cycle assessment of a solar thermal collector: sensitivity analysis, energy and environmental balances," Renewable Energy, Elsevier, vol. 30(2), pages 109-130.
    2. Ardente, Fulvio & Beccali, Giorgio & Cellura, Maurizio & Lo Brano, Valerio, 2005. "Life cycle assessment of a solar thermal collector," Renewable Energy, Elsevier, vol. 30(7), pages 1031-1054.
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    1. 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.
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    3. Chengzhou Li & Ningling Wang & Hongyuan Zhang & Qingxin Liu & Youguo Chai & Xiaohu Shen & Zhiping Yang & Yongping Yang, 2019. "Environmental Impact Evaluation of Distributed Renewable Energy System Based on Life Cycle Assessment and Fuzzy Rough Sets," Energies, MDPI, vol. 12(21), pages 1-17, November.
    4. Cellura, Maurizio & Guarino, Francesco & Longo, Sonia & Mistretta, Marina, 2017. "Modeling the energy and environmental life cycle of buildings: A co-simulation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 733-742.
    5. Magrassi, Fabio & Rocco, Elena & Barberis, Stefano & Gallo, Michela & Del Borghi, Adriana, 2019. "Hybrid solar power system versus photovoltaic plant: A comparative analysis through a life cycle approach," Renewable Energy, Elsevier, vol. 130(C), pages 290-304.
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    8. Cellura, Maurizio & Guarino, Francesco & Longo, Sonia & Mistretta, Marina, 2015. "Different energy balances for the redesign of nearly net zero energy buildings: An Italian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 100-112.
    9. Cellura, Maurizio & Guarino, Francesco & Longo, Sonia & Mistretta, Marina & Orioli, Aldo, 2013. "The role of the building sector for reducing energy consumption and greenhouse gases: An Italian case study," Renewable Energy, Elsevier, vol. 60(C), pages 586-597.
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    12. Turner, David A. & Williams, Ian D. & Kemp, Simon, 2015. "Greenhouse gas emission factors for recycling of source-segregated waste materials," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 186-197.
    13. Khoshnevisan, Benyamin & Tabatabaei, Meisam & Tsapekos, Panagiotis & Rafiee, Shahin & Aghbashlo, Mortaza & Lindeneg, Susanne & Angelidaki, Irini, 2020. "Environmental life cycle assessment of different biorefinery platforms valorizing municipal solid waste to bioenergy, microbial protein, lactic and succinic acid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    14. Moussavi, S. & Barutha, P. & Dvorak, B., 2023. "Environmental life cycle assessment of a novel offshore wind energy design project: A United States based case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    15. Francesco Pomponi & Bernardino D’Amico & Alice M. Moncaster, 2017. "A Method to Facilitate Uncertainty Analysis in LCAs of Buildings," Energies, MDPI, vol. 10(4), pages 1-15, April.
    16. Ferreira, Victor J. & Benveniste, Gabriela & Rapha, José I. & Corchero, Cristina & Domínguez-García, Jose Luis, 2023. "A holistic tool to assess the cost and environmental performance of floating offshore wind farms," Renewable Energy, Elsevier, vol. 216(C).
    17. Dandres, Thomas & Gaudreault, Caroline & Seco, Pablo Tirado & Samson, Réjean, 2014. "Uncertainty management in a macro life cycle assessment of a 2005–2025 European bioenergy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 52-61.
    18. Giuseppe Sollazzo & Sonia Longo & Maurizio Cellura & Clara Celauro, 2020. "Impact Analysis Using Life Cycle Assessment of Asphalt Production from Primary Data," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
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