| Title | Systemic approaches to model plastics circularity |
|---|---|
| ID_Doc | 22726 |
| Authors | Urgun-Demirtas, M; Benavides, PT; Gracida-Alvarez, UR; Riggio, S |
| Title | Systemic approaches to model plastics circularity |
| Year | 2022 |
| Published | |
| Abstract | As industry is moving from a linear to a circular economy (CE), analysis becomes crucial to develop strategies for plastic sustainability, identify opportunities for technology improvement, and provide research and development guidance to plastic manufactures and stakeholders. Life-cycle analysis (LCA) has been used to evaluate the environmental impact of plastic production in its first and post-use life. Material flow analysis (MFA) is another excellent tool for understanding how the new circular economy approach influences the supply chain and downstream markets of new products generated from plastic wastes. This assessment becomes necessary for large-scale changes in material circularity. There is a recent trend for integrating LCA and MFA methodologies to evaluate the degree of circularity and assess the effects of circularity at different application levels. The outcomes of this combined LCA and MFA analysis can provide a guiding framework for a consistent and transparent evaluation of increased plastics recycling and identification of an appropriate plastics recycling approach with large-scale implications across value and supply chains. Multiple driving forces will accelerate the circular economy around plastic materials, including but not limited to cost, environmental benefits, availability of collection/logistics systems and chemical recycling technologies, market conditions, policies and regulations, and social changes and adoption. Recently, there has been a growing interest in integrating different assessment tools to model the circularity transition and its impacts. Integrating a variety of modeling tools promotes an effective transition from a linear to a circular economy by identifying relevant opportunities, challenges, and research gaps under a systemic and dynamic framework. |
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