Uncertainty Propagation in Life Cycle Inventory and Impact Assessment: Application to water disinfection
Uncertainty information is essential for the proper use of life cycle assessment (LCA) in decision making. So far, parameter uncertainty propagation has mainly been studied using Monte-Carlo techniques that are relatively heavy to implement. The consequence is that uncertainty estimates have often been limited to either the inventory part of the analysis or the impact assessment part, very rarely covering the whole LCA. The present paper aims to develop and apply to both inventory and impact assessment an explicit and transparent analytical approach to uncertainty. Results shows that probability distributions obtained with this approach are compared to classical Monte Carlo distributions for test scenarios of a water disinfection case study demonstrates the feasibility of this method and illustrates its simultaneous and consistent application to both inventory and impact assessment. The explicit and innovative analytical approach based on Taylor series expansion for lognormal distribution provides the contribution from each parameter as well as to very strongly reduce calculation time.
Life cycle assessment Life cycle cost Sewage sludge Temperature Heavy metal Incineration
Jinglan Hong Olivier Jolliet
School of environmental science and engineering, Shandong University, Jinan 250100, PR China School of public health, University of Michigan, Ann Arbor, MI,48105, USA
国际会议
北京
英文
902-907
2010-05-17（万方平台首次上网日期，不代表论文的发表时间）