Computational Structure of Life Cycle Assessment

"Heijungs and Suh's Computational Structure of Life Cycles Assessment fills a gap in the methodological literature supporting life-cycle assessments (LCA). It provides a consistent approach, terminology, and notation previously lacking and only partially addressed by archival literature and standardization efforts. Much of the book focuses on the computational aspects of inventory analysis using linear algebra. The construction has atleast three advantages. First, the method is compatible with current inventory data collection and management practices...Second, the computational structure forces the practitioner to account for the full life cycle of material and energy flows and explicitly accounts for "complications"...Third, the matrix structure facilitates impact assessment and interpretation as currently applied by LCA practitioners...Even though the linear algebra concepts used are quite basic, the text is really designed for the atleast somewhat experienced LCA practitioner or the graduate student with some level of comfort in applying mathematical models to complex systems...Finally, the computational structure presented is complete in taking the practitioner from inventory analysis through interpretation. Practitioners who read this text will benefit from the author's experiences in applying LCA and developing LCA methods..." Journal of Industrial Ecology, 7:2 (2003)

• 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.