The Computational Structure of Life Cycle Assessment

Sangwon Suh

ISBN 10: 9048160413 / ISBN 13: 9789048160419

Edité par Springer Netherlands, Springer Netherlands, 2011

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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 guid Elektronisches Buch 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.

N° de réf. du vendeur 9789048160419

Détails bibliographiques

• Titre: The Computational Structure of Life Cycle Assessment
• Éditeur: Springer Netherlands, Springer Netherlands
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 9048160413
• ISBN à 13 chiffres: 9789048160419
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 15 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 15 millimètres de profondeur
• Poids: 400 grammes

A propos de ce titre

Synopsis

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.