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采用集成层次分析法-灰色关联分析方法对印度塑料废物的机械回收方案进行分析。

Integrated analytical hierarchy process-grey relational analysis approach for mechanical recycling scenarios of plastics waste in India.

机构信息

CSIR-National Environmental Engineering Research Institute (NEERI), Nagpur, 440020, India.

出版信息

Environ Sci Pollut Res Int. 2024 Mar;31(15):23106-23119. doi: 10.1007/s11356-024-32632-3. Epub 2024 Feb 28.

Abstract

Mechanical recycling is an indispensable tool for plastic waste (PW) recycling and has the highest share in the PW recycling sector in India. The transition to the circular economy of plastics (CEoP) needs a systemic perspective on the mechanical recycling processes. Nevertheless, the assessment of multiple parameters influencing the mechanical recycling of PW is a complex decision-making problem for the development of triple-bottom-line mechanical recycling. A systemic perspective of various mechanical recycling scenarios was performed by employing a multi-criteria decision-making approach to examine the complexity of interlinked factors in the present investigation. Analytical hierarchy process (AHP) integrated with grey relational analysis (GRA) was used to evaluate the criteria that directly influence quality-oriented mechanical recycling. Data were collected by conducting semi-structured interviews using a framed questionnaire in stakeholder engagement with mechanical recyclers of PW. The first level hierarchy included economy, technical, resource consumption and environmental criteria. These criteria were further categorized into various significant indices such as quality of recyclate, recyclability, water and energy consumption during recycling. The results of the integrated grey relational analysis indicated that the technical parameters including quality of recyclate, resource efficiency, PW processing rate and recyclability have a significant influence on mechanical recycling. Based on AHP-GRA, scenario MR6, i.e. manufacturing of PET strap from recycled PET flakes, was ranked the optimal mechanical process amongst the various scenarios. MR6 was followed by Straps and Films at the second and third rank. The lowest ranking was observed for polymer blend recycling. These processes with higher ranks produced good quality recyclate with better efficiency and recyclability. Moreover, these processes consumed optimal resources during manufacturing. These processes also exhibited less maintenance cost, high production rate, low chemical consumption and waste generation as well as implemented pollution control practices.

摘要

机械回收是塑料废物(PW)回收不可或缺的工具,在印度 PW 回收领域占有最高份额。向塑料循环经济(CEoP)的转变需要对机械回收工艺有系统的认识。然而,评估影响 PW 机械回收的多个参数是开发三重底线机械回收的复杂决策问题。通过采用多准则决策方法,对各种机械回收方案进行了系统的分析,以检查本研究中相互关联因素的复杂性。层次分析法(AHP)与灰色关联分析(GRA)相结合,用于评估直接影响面向质量的机械回收的标准。通过在利益相关者与 PW 机械回收商的参与中使用框架问卷进行半结构访谈来收集数据。第一级层次包括经济、技术、资源消耗和环境标准。这些标准进一步分为各种重要指标,如再生料的质量、可回收性、回收过程中的水和能源消耗。综合灰色关联分析的结果表明,包括再生料质量、资源效率、PW 加工率和可回收性在内的技术参数对机械回收有重大影响。基于 AHP-GRA,方案 MR6,即从回收 PET 薄片制造 PET 捆扎带,在各种方案中被评为最佳机械工艺。MR6 之后是薄膜和捆扎带,排名第二和第三。聚合物共混物回收的排名最低。这些排名较高的工艺生产出质量较好的再生料,效率和可回收性更好。此外,这些工艺在制造过程中消耗了最佳的资源。这些工艺还表现出较低的维护成本、较高的生产速度、较低的化学品消耗和废物产生,以及实施了污染控制措施。

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