Life Cycle Inventory Availability: Status and Prospects for Leveraging New Technologies

The demand for life cycle assessments (LCA) is growing rapidly, which leads to an increasing demand of life cycle inventory (LCI) data. While the LCA community has made significant progress in developing LCI databases for diverse applications, challenges still need to be addressed. This perspective summarizes the current data gaps, transparency, and uncertainty aspects of existing LCI databases. Additionally, we survey and discuss novel techniques for LCI data generation, dissemination, and validation. We propose key future directions for LCI development efforts to address these challenges, including leveraging scientific and technical advances such as the Internet of Things (IoT), machine learning, and blockchain/cloud platforms. Adopting these advanced technologies can significantly improve the quality and accessibility of LCI data, thereby facilitating more accurate and reliable LCA studies.

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Publication Details

Journal
ACS Sustainable Chemistry & Engineering
Published
2024-08-15
DOI
https://doi.org/10.1021/acssuschemeng.4c02519
Citations
15
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
3.13

Funders

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Life Cycle Inventory Availability: Status and Prospects for Leveraging New Technologies

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Life Cycle Inventory Availability: Status and Prospects for Leveraging New Technologies

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article en
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Abstract

The demand for life cycle assessments (LCA) is growing rapidly, which leads to an increasing demand of life cycle inventory (LCI) data. While the LCA community has made significant progress in developing LCI databases for diverse applications, challenges still need to be addressed. This perspective summarizes the current data gaps, transparency, and uncertainty aspects of existing LCI databases. Additionally, we survey and discuss novel techniques for LCI data generation, dissemination, and validation. We propose key future directions for LCI development efforts to address these challenges, including leveraging scientific and technical advances such as the Internet of Things (IoT), machine learning, and blockchain/cloud platforms. Adopting these advanced technologies can significantly improve the quality and accessibility of LCI data, thereby facilitating more accurate and reliable LCA studies.

ACS Sustainable Chemistry & EngineeringVol. 12(34)
National Laboratory of the Rockies (US), Environmental Protection Agency (US), University of British Columbia (CA), Iowa State University (US), Universidade do Porto (PT), University of South Florida (US), Center for Environmental Health (US), Yale University (US)
U.S. Department of Energy, Ministério da Ciência, Tecnologia e Ensino Superior, Office of Energy Efficiency and Renewable Energy, Natural Sciences and Engineering Research Council of Canada, Fundação para a Ciência e a Tecnologia, Advanced Manufacturing Office, Bioenergy Technologies Office, Office of Energy Efficiency
Responsible consumption and production
Openalex Percentile: Top 8%
Green IT and Sustainability
3.13
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