来自玉米的生物塑料:生命周期评估和基于人工智能的不确定性和可变性分析
Junwei Li1, Yinqiao Wang2, Chuan Xu1
1SAS Institute, Cary, NC 27513, USA.
The Science of the total environment
|June 29, 2024
概括
这项研究模拟了玉米中的聚乳酸 (PLA),整合了生命周期评估 (LCA) 和人工智能 (AI). 用木质颗粒焚烧PLA来发电显示了最低的全球变暖潜力 (GWP).
科学领域:
- 可持续材料科学科学 可持续材料科学
- 生物质转化技术生物质转化技术
- 环境生命周期评估 环境生命周期评估
背景情况:
- 减少对化石塑料的依赖,需要探索来自生物质的可再生替代品.
- 生物质原料在组成和加工参数方面表现出固有的不确定性和变化.
- 准确的生物塑料环境影响评估需要强大的不确定性和可变性分析.
研究的目的:
- 开发一个综合建模框架来分析生物塑料的生命周期环境影响.
- 在美国,从玉米中生产的聚乳酸 (PLA) 进行不确定性和可变性分析.
- 为了比较PLA的不同寿命末期场景的环境性能.
主要方法:
- 从摇篮到坟墓的生命周期评估 (LCA) 与流程模型和人工智能 (AI) 模型的整合.
- 蒙特卡洛模拟用于全球变暖潜力 (GWP) 的详细不确定性和可变性分析.
- 开发和比较人工智能模型 (随机森林,人工神经网络) 以根据原料变化预测影响.
主要成果:
- 1公斤PLA的平均生命周期GWP随着生命周期结束的情况而有很大变化:4.3公斤CO2eq (堆肥,天然气),3.7公斤CO2eq (燃烧电力,天然气) 和1.9公斤CO2eq (燃烧电力,木质颗粒).
- 详细的结果分布 (P5-P95) 突出了每个场景的潜在GWP影响范围.
- 两种人工智能模型都实现了高预测准确性,随机森林在基于原料变化的预测影响方面表现略高.
结论:
- 使用木质颗粒作为生物炼油厂燃料来源,焚烧PLA用于发电,在评估的场景中提供了最低的全球变暖潜力.
- 集成的LCA-AI建模框架有效地解决了生物塑料生产中不确定性和可变性分析的耗时性质.
- 在选择生物塑料的生命周期结束途径时,应考虑不同环境影响类别之间的权衡.
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