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LCA Capability Roadmap: Product System Model Description and Revision.

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Life cycle assessment (LCA) model sharing and reproducibility are hindered by current techniques and software incompatibilities. This study outlines a roadmap for technical advances to enable easier LCA model exchange, independent of software.

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Area of Science:

  • Environmental Science
  • Industrial Ecology
  • Sustainability Science

Background:

  • Current life cycle assessment (LCA) modeling techniques present challenges in describing model structure, documenting data, specifying allocation, and recording assumptions.
  • Inconsistent data management across LCA software systems and issues related to data access (licensing, confidentiality) impede model sharing and reproducibility.
  • These limitations affect study interpretation and hinder the reuse of existing LCA models.

Purpose of the Study:

  • To define a roadmap for technical advancements in LCA.
  • To facilitate easier LCA model sharing and improve the replicability of LCA results.
  • To ensure software-independent model exchange that respects licensing and confidentiality.

Main Methods:

  • Review of current limitations in LCA modeling and data sharing practices.
  • Identification of technical challenges hindering model reproducibility.
  • Development of a strategic roadmap for future LCA technical development.

Main Results:

  • Identified key weaknesses in LCA modeling, including structure description, data documentation, allocation, and assumption recording.
  • Highlighted software-dependent data management and access restrictions as major barriers.
  • Proposed a framework for achieving software-independent LCA model sharing and enhanced reproducibility.

Conclusions:

  • Addressing current LCA modeling and data sharing challenges is crucial for advancing the field.
  • A collaborative roadmap is needed to overcome technical hurdles in LCA model exchange.
  • Future technical developments should prioritize software independence and data accessibility while maintaining confidentiality.