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A Methodology on Treating Uncertainty of LCI Data using Monte Carlo Simulation  

Park Ji-Hyung (한국과학기술연구원 CAD/CAM 연구센터)
Seo Kwang-Kyu (상명대학교 산업정보시스템공학과)
Publication Information
Journal of the Korean Society for Precision Engineering / v.21, no.12, 2004 , pp. 109-118 More about this Journal
Abstract
Life cycle assessment (LCA) usually involves some uncertainty. These uncertainties are generally divided in two categories such lack of data and data inaccuracy in life cycle inventory (LCI). This paper explo.es a methodology on dealing with uncertainty due to lack of data in LCI. In order to treat uncertainty of LCI data, a model for data uncertainty is proposed. The model works with probabilistic curves as inputs and with Monte Carlo Simulation techniques to propagate uncertainty. The probabilistic curves were derived from the results of survey in expert network and Monte Carlo Simulation was performed using the derived probabilistic curves. The results of Monte Carlo Simulation were verified by statistical test. The proposed approach should serve as a guide to improve data quality and deal with uncertainty of LCI data in LCA projects.
Keywords
Uncertainty; Probabilistic Curve; Monte Carlo Simulation; Life Cycle Inventory;
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Times Cited By KSCI : 1  (Citation Analysis)
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