This Technical Report provides examples about practices in carrying out a life cycle inventory analysis (LCI) as a means of satisfying certain provisions of ISO 14044:2006. These examples are only a sample of the possible cases satisfying the provisions of ISO 14044. They offer “a way” or “ways” rather than the “unique way” for the application of ISO 14044. These examples reflect only portions of a complete LCI study.
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Foreword
Introduction
1 Scope
2 General
3 Examples of developing functions, functional units and reference flows
3.1 Context of ISO 14044
3.2 Overview
3.3 Identification of functions
3.4 Selection of functions and definition of functional unit
3.5 Identification of performance of the product and determination of the reference flow
3.6 Additional examples
4 Examples of distinguishing functions of comparative systems
4.1 Context of ISO 14044
4.2 Overview
4.3 Identification and selection of functions
4.4 Equivalence of reference flows
4.5 Adjusting for performance differences
5 Examples of establishing inputs and outputs of unit processes and system boundaries
5.1 Context of ISO 14044
5.2 Overview
5.3 Determining the product system’s unit processes and their boundaries
5.4 Initial collection of data at each unit processes
5.5 Initial estimate of material and energy flows
5.6 Applying decision rules
5.7 Inputs, outputs and system boundaries established
6 Examples of avoiding allocation
6.1 Context of ISO 14044
6.2 Overview
6.3 Example of allocation avoidance by dividing the unit process to be allocated into two or more processes
6.4 Example of allocation avoidance by expanding the boundaries for comparison of systems with different outputs
7 Examples of allocation
7.1 Context of ISO 14044
7.2 Overview
7.3 Description of the examples
8 Example of applying allocation procedures for recycling
8.1 Context of ISO 14044
8.2 Overview
8.3 Description of the examples
9 Examples of conducting data quality assessment
9.1 Context of ISO 14044
9.2 Overview
9.3 Data requirements to establish the specific listing of sites
9.4 Requirements to characterize the quality of the data