Completeness and Consistency Control

This lecture covers the interpretation and limitations of Life Cycle Assessment (LCA), focusing on completeness control to ensure all necessary data is available and consistency control to verify the coherence of assumptions, methods, and data. Examples of data gaps and inconsistencies are provided, along with suggestions to improve completeness. The iterative process for completeness control is explained, emphasizing the importance of defining study objectives, study scope, and adapting them as needed. The lecture also addresses the importance of coherence control in comparative analyses, highlighting the need for consistent selection and application of assumptions, methods, and data across different options.