The Computational Structure of Life Cycle Assessment

1. Auflage. Softcover version of original hardcover Auflage 2002
ISBN: 978-90-481-6041-9
Verlag: Springer Netherlands

Buch, Englisch, Band 11, 243 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 400 g

Reihe: Eco-Efficiency in Industry and Science

Life Cycle assessment (LCA) is a tool for environmental decision-support in relation to products from the cradle to the grave. Until now, more emphasis has been put on the inclusion quantitative models and databases and on the design of guidebooks for applying LCA than on the integrative aspect of combining these models and data. This is a remarkable thing, since LCA in practice deals with thousands of quantitative data items that have to be combined in the correct manner. For this, one needs mathematical rules and algorithmic principles for carrying out an LCA.
This book presents the first coherent treatment of the mathematical and algorithmic aspects of LCA. These computational aspects are presented in matrix form, so that a concise and elegant formulation is achieved. This form, moreover, provides a platform for further extension of analysis using perturbation theory, structural theory and economic input-output analysis.

Zielgruppe

Research

Autoren/Hrsg.

Heijungs, R.

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Umweltökonomie
• Geowissenschaften Umweltwissenschaften Umweltmanagement, Umweltökonomie
• Geowissenschaften Umweltwissenschaften Angewandte Ökologie
• Technische Wissenschaften Technik Allgemein Nachhaltigkeit, Grüne Technologien

Inhaltsverzeichnis

1 Introduction.- 2 The basic model for inventory analysis.- 3 The refined model for inventory analysis.- 4 Advanced topics in inventory analysis*.- 5 Relation with input-output analysis*.- 6 Perturbation theory.- 7 Structural theory.- 8 Beyond the inventory analysis.- 9 Further extensions*.- 10 Issues of implementation*.- A Matrix algebra.- A.1 General concepts.- A.2 Special matrices.- A.3 Basic operations.- A.4 Basic properties.- A.5 Partitioned matrices.- A.6 Systems of linear equations.- B Main terms and symbols.- C Matlab code for most important algorithms.- References.