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

Mark Wright, Eric Tan, Qingshi Tu, Antonio Martins, Abhijeet Parvatke, Yuan Yao, Aydin Sunol, Raymond Smith

Research output: Contribution to journalArticlepeer-review

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.
Original languageAmerican English
Pages (from-to)12708-12718
Number of pages11
JournalACS Sustainable Chemistry and Engineering
Volume12
Issue number34
DOIs
StatePublished - 2024

NREL Publication Number

  • NREL/JA-5100-89462

Keywords

  • blockchain platforms
  • life cycle assessment
  • life cycle inventory date
  • machine learning
  • process simulation

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