Ambiguities in Decision-oriented Life Cycle Inventories: The Role of Mental Models and Values / Edition 1 available in Hardcover
- Pub. Date:
- Springer Netherlands
This book shows for the first time how mental models and values influence conclusions in the life cycle inventory step of LCA. One key finding is that different management rules for a sustainable use of materials must be taken into account for the attribution of material and energy flows to a product. Includes case studies on the modelling of recycling and other end-of-life options of aluminium windows and beech wood railway sleepers in LCA.
Table of ContentsThe Functionalistic Perspective of LCA Modelling and Application - a Foreword Part I: Introduction 1. Introduction Part II: Requirements of Product Systems and Their LCIs in Product-Related Decision-Making 2. LCA as Method and its Modelling Characteristics 3. Requirements of LCIs in Product Design-Related Decision-Making Part III: Mental Models and Value Choices in the Life Cycle Inventory Analysis 4. Introduction 5. Analysis of ISO 14041 for Mental Models and Values 6. Allocation Procedures for Open-loop Recycling 7. The Decision-Maker’s Mental Models and Values in Inventory Analysis Case study I: Development of the Value-Corrected Substitution for Aluminium Windows 8. Introduction 9. Material and Market Characteristics of Aluminium 10. Development of the Value-Corrected Substitution for Aluminium Windows 11. Selected Allocation Procedures for Comparison 12. Application in an LCA of Aluminium Windows 13. Methodological Conclusions Case Study II: Modelling End-of-Life Options for Beech Wood Railway Sleepers 14. Introduction 15. Material and Market Characteristics of Wood 16. Sustainable Wood Flow Management 17. Wood Processing Chain and Attribution in LCA 18. Modelling End-of-Life Options of Beech Wood Railway Sleepers 19. Conclusions Part VI: Conclusions and Outlook 20. Review of the Theses 21. Consequences for LCA as a Decision Support Tool 22. Consequences for a Revision of ISO/EN 14041 23. Toward a Group-Model Building Process in LCA 24. Future Research Needs