可持续聚合物系统的基于本体学的建模和分析:PVC比较聚合物和实施前景
Alexander Chidara1, Kai Cheng1, David Gallear2
1Department of Mechanical and Aerospace Engineering, College of Engineering, Design and Physical Sciences, Brunel University of London, Uxbridge UB8 3PH, UK.
Polymers
|October 16, 2025
概括
本研究介绍了可持续的聚合物回收利用的本体学框架,帮助循环经济. 它确定了关键的回收挑战,并量化了PET,PLA和PVC的碳足迹,支持净零材料系统.
科学领域:
- 材料科学与工程 材料科学与工程
- 计算机科学和人工智能 人工智能
- 环境科学与政策
背景情况:
- 转向循环经济需要先进的可持续聚合物回收利用战略.
- 现有的聚合物回收系统面临挑战,包括性能差距和添加复杂性,阻碍大规模采用.
- 缺乏标准化的可持续性指标和语义支持,阻碍了有效的生命周期评估和优化.
研究的目的:
- 开发基于本体学的决策支持框架,以加强可持续的聚合物回收利用.
- 系统地捕获聚合物类型 (PET,PLA,PVC),回收过程,废物分类和可持续性指标.
- 利用语义推理来推断循环经济中的最佳材料流和可持续途径.
主要方法:
- 使用Protégé (OWL 2) 来建模聚合物回收数据的本体学开发.
- 用语义网络规则语言 (SWRL) 和SPARQL实现语义推理.
- 通过英国工业案例研究进行验证,包括比较碳足迹分析和文献计量/主题评估.
主要成果:
- 该框架在英国的工业环境中证明了适用性,识别了性能差距和PVC添加剂复杂性等障碍.
- 建立了比较的碳足迹:2.8公斤CO2/公斤 (原始PET),1.5公斤CO2/公斤 (PLA) 和2.1公斤CO2/公斤 (PVC).
- 分析显示,可持续性指标,生命周期评估和循环聚合物系统的语义支持存在持续的差距.
结论:
- 开发的框架提供了一个可扩展的,数据驱动的工具,用于评估和优化聚合物生命周期.
- 它支持行业向弹性,循环和净零材料系统的过渡.
- 解决特定材料的挑战和改进语义基础设施对于推动可持续的聚合物回收利用至关重要.
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