计算机科学
透明度(行为)
风险分析(工程)
云计算
数据科学
生命周期评估
系统工程
工程类
业务
计算机安全
生产(经济)
操作系统
宏观经济学
经济
作者
Mark Mba Wright,Eric C. D. Tan,Qingshi Tu,António A. Martins,Abhijeet G. Parvatker,Yuan Yao,Aydın K. Sunol,Raymond L. Smith
出处
期刊:ACS Sustainable Chemistry & Engineering
[American Chemical Society]
日期:2024-08-15
标识
DOI:10.1021/acssuschemeng.4c02519
摘要
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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