Integration of life cycle assessment and system dynamics modeling for environmental scenario analysis: A systematic review

生命周期评估 持续性 利益相关者 利益相关方参与 产品(数学) 系统动力学 计算机科学 系统回顾 包裹体(矿物) 风险分析(工程) 系统工程 过程管理 工程类 业务 生产(经济) 心理学 生态学 公共关系 几何学 宏观经济学 数学 梅德林 政治学 法学 经济 生物 人工智能 社会心理学
作者
Yanqing Yi,Junzhang Wu,Filippo Zuliani,Maria Cristina Lavagnolo,Alessandro Manzardo
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:903: 166545-166545 被引量:11
标识
DOI:10.1016/j.scitotenv.2023.166545
摘要

System dynamics (SD) is widely recognized as a tool for simulating spatial and temporal dynamics in life cycle assessment (LCA) studies of the product system. However, there is no agreement on how SD and LCA could be applied effectively together in a consistent way. To address this gap, this research conducted a systematic literature review, analyzing 54 scientific articles published worldwide between 2010 and 2023, to explore the joint application of LCA with SD. The study aimed to answer three research questions: (1) What can be considered an integration of LCA and SD? (2) How can SD and LCA be effectively integrated? and (3)What are the advantages and constraints of this integration? The results highlighted the popularity of LCA and SD as impact assessment tools for sustainable design, each with its own strengths and limitations. Two primary integration types were identified when LCA was jointly applied with SD: (1) inclusion of the life cycle inventory and characterization factors in an SD model, and (2) inclusion of SD model results in an LCA. In the second type of integration, SD models the components of the technical system, and its outcomes served as input for scenario analysis, providing temporal and potentially spatial inventory data for the LCA model. The integrated approach offers a comprehensive understanding of product sustainability, aids decision-making, and enhances stakeholder engagement. The study also identifies knowledge gaps in the joint application of SD and LCA for environmental scenario analysis, suggesting the incorporation of optimization tools and strategy guidance for policy makers.
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