ISBN-10:
1402032536
ISBN-13:
9781402032530
Pub. Date:
09/27/2005
Publisher:
Springer Netherlands
Ambiguities in Decision-oriented Life Cycle Inventories: The Role of Mental Models and Values / Edition 1

Ambiguities in Decision-oriented Life Cycle Inventories: The Role of Mental Models and Values / Edition 1

by Frank Werner

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Product Details

ISBN-13: 9781402032530
Publisher: Springer Netherlands
Publication date: 09/27/2005
Series: Eco-Efficiency in Industry and Science , #17
Edition description: 2005
Pages: 400
Product dimensions: 6.30(w) x 9.45(h) x 0.04(d)

Table of Contents

The 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

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