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System boundary selection in life-cycle inventories using hybrid approaches
Sangwon Suh1, Manfred Lenzen, Graham J Treloar
1CML, Leiden University, P.O. Box, 9518, 2300RA, Leiden, The Netherlands. suh@cml.leidenuniv.nl
Environmental Science & Technology
|February 19, 2004
Summary
Life-cycle assessment (LCA) faces challenges with system boundary selection, often leading to inaccurate environmental impact evaluations. Hybrid approaches using economic input-output analysis offer a scientifically grounded solution for ISO-compliant LCA.
Area of Science:
- Environmental Science
- Industrial Ecology
- Sustainability Assessment
Background:
- Life-cycle assessment (LCA) evaluates environmental impacts across product supply chains.
- Current ISO standards present practical difficulties in defining system boundaries and process inclusion criteria.
- Exclusion criteria are often subjective, lacking scientific basis and potentially compromising result validity.
Purpose of the Study:
- To critically examine system boundary definition challenges in LCA.
- To introduce and advocate for hybrid approaches as a solution to boundary selection problems.
- To ensure ISO compliance while broadening system boundaries in LCA studies.
Main Methods:
- Discussion of current LCA methodologies and ISO standards regarding system boundaries.
- Exploration of economic input-output (EIO) analysis for system boundary assessment.
- Proposal and description of hybrid input-output-assisted LCA approaches.
Main Results:
- Subjective system boundary decisions in LCA can lead to invalid or incomplete environmental impact assessments.
- EIO analysis demonstrates that excluded processes can significantly contribute to overall impacts.
- Hybrid LCA methods provide a framework for scientifically defining boundaries and ensuring ISO compliance.
Conclusions:
- Hybrid input-output-assisted LCA methods effectively address the system boundary selection problem.
- These approaches enable broader system boundaries and maintain compliance with ISO standards.
- Implementing hybrid methods enhances the scientific rigor and reliability of LCA studies.