可比性
新兴技术
生命周期评估
风险分析(工程)
工业生态学
比例(比率)
计算机科学
管理科学
数据科学
过程管理
业务
工程类
持续性
生产(经济)
宏观经济学
经济
人工智能
生态学
物理
组合数学
生物
量子力学
数学
作者
Sheikh Moni,Roksana Mahmud,Karen High,Michael Carbajales‐Dale
摘要
Abstract In recent literature, prospective application of life cycle assessment (LCA) at low technology readiness levels (TRL) has gained immense interest for its potential to enable development of emerging technologies with improved environmental performances. However, limited data, uncertain functionality, scale up issues and uncertainties make it very challenging for the standard LCA guidelines to evaluate emerging technologies and requires methodological advances in the current LCA framework. In this paper, we review published literature to identify major methodological challenges and key research efforts to resolve these issues with a focus on recent developments in five major areas: cross‐study comparability, data availability and quality, scale‐up issues, uncertainty and uncertainty communication, and assessment time. We also provide a number of recommendations for future research to support the evaluation of emerging technologies at low technology readiness levels: (a) the development of a consistent framework and reporting methods for LCA of emerging technologies; (b) the integration of other tools with LCA, such as multicriteria decision analysis, risk analysis, technoeconomic analysis; and (c) the development of a data repository for emerging materials, processes, and technologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI