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PNS0153
Känslighets- och osäkerhetsanalys för LCA
The course will cover the following topics:
• Overview and terminology for LCA modelling
• Overview and terminology for sensitivity and uncertainty analysis
• Principles for uncertainty analysis, including input and parameter uncertainties
• Introduction to global and local sensitivity analysis
• Methodology for global sensitivity analysis, including Monte Carlo simulations, sampling procedures and variance-based methods
• Overview and terminology for LCA modelling
• Overview and terminology for sensitivity and uncertainty analysis
• Principles for uncertainty analysis, including input and parameter uncertainties
• Introduction to global and local sensitivity analysis
• Methodology for global sensitivity analysis, including Monte Carlo simulations, sampling procedures and variance-based methods
Kursplan och övrig information
Kursplan
PNS0153 Känslighets- och osäkerhetsanalys för LCA, 2,0 Hp
Ämnen
Matematisk statistikUtbildningens nivå
ForskarnivåFörkunskapskrav
NoneMål
The objective of the course is to give an overview of sensitivity and uncertainty methods in life cycle assessment. On completion of the course, the student will be able to: • identify areas in LCA models where uncertainty can arise and should be taken into account • choose appropriate approaches to sensitivity and uncertainty analysis for a variety of LCA models • Interpretation of statistical modelling result for use as input data in LCA • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate uncertainty results for LCA models and conclusions drawn from that • critically assess published results presenting uncertainty in LCA modelsInnehåll
The course will cover the following topics: • Overview and terminology for LCA modelling • Overview and terminology for sensitivity and uncertainty analysis • Principles for uncertainty analysis, including input and parameter uncertainties • Introduction to global and local sensitivity analysis • Methodology for global sensitivity analysis, including Monte Carlo simulations, sampling procedures and variance-based methodsAnsvarig institution/motsvarande
Institutionen för energi och teknik