通过人工智能代理和综合评估模型自动化生命周期评估
Nathan Preuss1, Fengqi You1,2,3,4
1College of Engineering, Cornell University, Ithaca, New York 14853, United States.
Environmental science & technology
|December 18, 2025
概括
生命周期评估 (LCA) 可以使用人工智能 (AI) 和综合评估模型 (IAM) 进行自动化. 虽然这些工具提高了效率,但LCA社区需要建立可信的采用规范.
科学领域:
- 环境科学和可持续性评估.
- 计算机科学和人工智能应用.
背景情况:
- 生命周期评估 (LCA) 对于可持续决策至关重要,但由于其资源密集性而受到阻碍.
- 现有的文献缺乏对LCA自动化潜力的全面审查.
研究的目的:
- 审查人工智能 (AI) 代理和综合评估模型 (IAM) 的潜力,以自动化生命周期评估 (LCA).
- 确定在采用自动化LCA的过程中存在的研究缺口和挑战.
主要方法:
- 对使用人工智能和IAM进行LCA自动化现有文献的审查.
- 分析LCA流程所有四个阶段的自动化潜力.
主要成果:
- 人工智能代理和IAM提供了可行的方法来自动化LCA的所有四个阶段.
- 在更广泛的LCA社区中,自动化LCA工具的采用仍然很少.
- 尽管报告了可靠的结果,但被认为不值得信赖的行为阻碍了采用.
结论:
- 自动化LCA在时间和资源效率方面提供了显著的改善.
- 需要进一步的研究来严格评估自动化LCA的质量.
- 开发社区驱动的规范对于可信的自动化LCA工具的采用至关重要.
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