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Tytuł artykułu

Application of uncertainty analysis based on Monte Carlo (MC) simulation for life cycle inventory (LCI)

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Warianty tytułu
PL
Zastosowanie analizy niepewności opartej na symulacji Monte Carlo (MC) do inwentaryzacji cyklu życia (LCI)
Konferencja
POL-VIET 2019 : scientific-research cooperation between Poland and Vietnam : 08–10.07.2019, Krakow
Języki publikacji
EN
Abstrakty
EN
The use of Monte Carlo (MC) simulation was presented in order to assess uncertainty in life cycle inventory (LCI) studies. The MC method is finded as an important tool in environmental science and can be considered the most effective quantification approach for uncertainties. Uncertainty of data can be expressed through a definition of probability distribution of that data (e.g. through standard deviation or variance). The presented case in this study is based on the example of the emission of SO2, generated during energy production in Integrated Steel Power Plant (ISPP) in Kraków, Poland. MC simulation using software Crystal Ball® (CB), software, associated with Microsoft® Excel, was used for the uncertainties analysis. The MC approach for assessing parameter uncertainty is described. Analysed parameter (SO2,) performed in MC simulation were assigned with log-normal distribution. Finally, the results obtained using MC simulation, after 10,000 runs, more reliable than the deterministic approach, is presented in form of the frequency charts and summary statistics. Thanks to uncertainty analysis, a final result is obtained in the form of value range. The results of this study will encourage other researchers to consider this approach in their projects, and the results of this study will encourage other LCA researchers to consider the uncertainty in their projects and bring closer to industrial application.
Rocznik
Strony
264--269
Opis fizyczny
Bibliogr. 20 poz., tab., wykr.
Twórcy
autor
  • AGH University of Science and Technology, Faculty of Management, Krakow, Poland
  • AGH University of Science and Technology, Faculty of Management, Krakow, Poland
Bibliografia
  • 1. E.P. Smith, K. Ye. A statistical , of uncertainty.(Society of Environmental Toxicology and Chemistry/SETAC, Pellston, Michigan, Pensacola, FL, 1998)
  • 2. M.A.J. Huijbregts. Int. J. Life Cycle Assess. 3, 5, (1998)
  • 3. W.E. Walker, P. Harremoës, J. Rotmans, J.P. van der Sluijs, M.B.A. van Asselt, P. Janssen, M.P. Krayer von Krauss. Integr. Assess. 4, 1 (2003)
  • 4. N. Escobar, J. Ribal, G. Clemente, N. Sanjuán. J. Clean. Prod. 79 (2014)
  • 5. Canarache, C. Simota, C. Databases and Simulation Modelling in Compaction and Erosion Studies. (Sustainable Land Management-Environmental Protection, A soil Physical Approach, Advances in Geoecology 35. Catena Verlag GmbH, Reiskirchen, Germany, 2002)
  • 6. R. Heijungs, M. Lenzen, M. Int. J. Life Cycle Assess. 19 2014)
  • 7. G. Sonnemann, F. Castells, M. Schumache. Integrated Life-Cycle And Risk Assessment For Industrial Processes.( Lewis Publishers Boca Raton, London, New York, Washington, DC, 2004)
  • 8. B. Bieda. Stochastic Analysis in Production Process and Ecology under Uncertainty. (Springer-Verlag, Heidelberg Berlin, 2012)
  • 9. A.E. Bjorklund. Int. J. Life Cycle Assess.7 (2002)
  • 10. C. Scope, P. Ilg, S. Muench, E.J. Guenthe. Int. J. Life Cycle Assess. 21 (2016)
  • 11. B. Sprecher, Y. Xiao, A. Walton, J. Speight, R. Harris, R. Kleijn, G. Visser, G.J. Kramer. Environ. Sci. Technol. 48, 7 (2014)
  • 12. M.Z. Hauschild, M.A. Barlaz.A., 2011. LCA in Waste Management Introduction to Principle and Method. (Solid Waste Technology & Management. Chapter 3.1. 1st edn. vol 1. Wiley, Chichester, 2011)
  • 13. M.A. McCarthy. Bayesian Methods. for Ecology. (Cambridge University Press, 2007)
  • 14. J.V. Spadaro, A. Rabl. Environ. Impact Asses. 28 (2008)
  • 15. Ciroth, M. Srocka. Int. J. Life Cycle Assess. 13, 3 (2008)
  • 16. Grant, R. Ries, C. Thompson. Int. J. Life Cycle Assess. 21, (2016)
  • 17. W.J. Warren-Hicks, D.R. Moore. Uncertainty analysis in ecological risk assessment. (Society of Environmental Toxicology and Chemistry/SETAC, Pellston, Michigan, Pensacola, FL, 1998)
  • 18. S. Ross, D. Evans, W. Webber. Int. J. Life Cycle Assess. 7 (2002)
  • 19. M. Guo, R.J. Murphy. Sci. Total Environ. 435-436 (2012)
  • 20. E. Igos, E. Benetto, R. Meyer, P. Baustert, B. Othoniel. Int J Life Cycle Assess. 4 (2018)
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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