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A model for streamlining and automating path exchange hybrid life cycle assessment

  • INPUT-OUTPUT AND HYBRID LCA
  • Published:
The International Journal of Life Cycle Assessment Aims and scope Submit manuscript

Abstract

Purpose

Life cycle assessment (LCA) is inherently complex and time consuming. The compilation of life cycle inventories (LCI) using a traditional process analysis typically involves the collection of data for dozens to hundreds of individual processes. More comprehensive LCI methods, such as input-output analysis and hybrid analysis can include data for billions of individual transactions or transactions/processes, respectively. While these two methods are known to provide a much more comprehensive overview of a product’s supply chain and related environmental flows, they further compound the complex and time-consuming nature of an LCA. This has limited the uptake of more comprehensive LCI methods, potentially leading to ill-informed environmental decision-making. A more accessible approach for compiling a hybrid LCI is needed to facilitate its wider use.

Methods

This study develops a model for streamlining a hybrid LCI by automating various components of the approach. The model is based on the path exchange hybrid analysis method and includes a series of inter-related modules developed using object-oriented programming in Python. Individual modules have been developed for each task involved in compiling a hybrid LCI, including data processing, structural path analysis and path exchange or hybridisation.

Results and discussion

The production of plasterboard is used as a case study to demonstrate the application of the automated hybrid model. Australian process and input-output data are used to determine a hybrid embodied greenhouse gas emissions value. Full automation of the node correspondence process, where nodes relating to identical processes across process and input-output data are identified, remains a challenge. This is due to varied dataset coverage, different levels of disaggregation between data sources and lack of detail of activities and coverage for specific processes. However, by automating other aspects of the compilation of a hybrid LCI, the comprehensive supply chain coverage afforded by hybrid analysis is able to be made more accessible to the broader LCA community.

Conclusions

This study shows that it is possible to automate various aspects of a hybrid LCI in order to address traditional barriers to its uptake. The object-oriented approach used enables the data or other aspects of the model to be easily updated to contextualise an analysis in order to calculate hybrid values for any environmental flow for any variety of products in any region of the world. This will improve environmental decision-making, critical for addressing the pressing global environmental issues of our time.

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Funding

This research was supported by the Australian Research Council’s Discovery Projects funding scheme (project number DP150100962) and the Australian Research Council’s Linkage Infrastructure, Equipment and Facilities funding scheme (project number LE160100066).

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Authors and Affiliations

  1. Faculty of Architecture, Building and Planning, The University of Melbourne, Melbourne, Victoria, 3010, Australia

    André Stephan, Robert H. Crawford & Paul-Antoine Bontinck

Authors
  1. André Stephan
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  2. Robert H. Crawford
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  3. Paul-Antoine Bontinck
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Contributions

RC and AS conceived the research and secured funding; RC, AS and PAB defined the model’s functionalities; AS and PAB designed, developed, programmed and tested the model; PAB conducted the case study analysis; and AS, RC and PAB wrote the paper.

Corresponding author

Correspondence to Robert H. Crawford.

Additional information

Responsible editor: Yi Yang

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Stephan, A., Crawford, R.H. & Bontinck, PA. A model for streamlining and automating path exchange hybrid life cycle assessment. Int J Life Cycle Assess 24, 237–252 (2019). https://doi.org/10.1007/s11367-018-1521-1

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  • DOI: https://doi.org/10.1007/s11367-018-1521-1

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