caa a22 4500 606169067 CHVBK 20210128100710.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s10098-014-0890-9 doi (NATIONALLICENCE)springer-10.1007/s10098-014-0890-9 A design of experiments (DOE) approach to data uncertainty in LCA: application to nanotechnology evaluation [Elektronische Daten] [J. Rivera, J. Sutherland] A limitation of any reported environmental performance is the considerable uncertainties present in the analysis. A methodology based on design of experiments techniques, coupled with life cycle assessment, was implemented to investigate the influence of inventory uncertainties on the predicted environmental impact. A case study on nanomanufacturing is presented. Results showed that mass data variability does not have a significant effect on the predicted environmental impacts. Material profiles for input materials did have a highly significant effect on the overall impact. Energy consumption and material characterization were identified as two areas where additional research is needed in order to obtain more accurate and precise predictions of the overall impact of nanomaterials. The methodology facilitates impact assessment of material selection for life cycle assessment, allows the establishment of a predictive model, and makes possible the identification of significant process variables as well as their interdependency. Springer-Verlag Berlin Heidelberg, 2014 Emerging technologies nationallicence Life cycle assessment nationallicence Uncertainties nationallicence Data variability nationallicence Nanotechnology nationallicence y : Test response nationallicence x : Independent variable nationallicence $$\hat{y}$$ y ^ : Predicted response nationallicence $$\sigma ^2_y$$ σ y 2 : Variance of the response nationallicence $$\sigma ^2_i$$ σ i 2 : Variance of the ith independent variable nationallicence $$\mu _y$$ μ y : Mean test response nationallicence $$\mu _i$$ μ i : Mean of the ith independent variable nationallicence Y : Model response with uncertainty nationallicence Rivera J. Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI, USA aut Sutherland J. Environmental and Ecological Engineering, Purdue University, West Lafayette, IN, USA aut Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/6(2015-08-01), 1585-1595 1618-954X 17:6<1585 2015 17 10098 https://doi.org/10.1007/s10098-014-0890-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10098-014-0890-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rivera J. Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI, USA aut NATIONALLICENCE 700 1- Sutherland J. Environmental and Ecological Engineering, Purdue University, West Lafayette, IN, USA aut NATIONALLICENCE 773 0- Clean Technologies and Environmental Policy Springer Berlin Heidelberg 17/6(2015-08-01), 1585-1595 1618-954X 17:6<1585 2015 17 10098