Advancing Waste Electrical and Electronic Equipment (WEEE) Recycling: A Random Forest Approach to Classifying WEEE Plastics for Sustainable Waste Management

被引:0
作者
Chaine, Cecilia [1 ,2 ]
Errandonea, Miguel Mitsou [1 ]
Vega, Belen Morales [1 ]
机构
[1] CIRCE, Technol Ctr Energy Resources & Consumpt, Parque Empresarial Dinamiza, Av Ranillas 3D,1St Floor, Zaragoza 50018, Spain
[2] Univ West Scotland, Sch Comp Engn & Phys Sci, Paisley PA1 2BE, Scotland
关键词
WEEE; !text type='Python']Python[!/text; modelling;
D O I
10.3390/environments12020068
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The rapid growth of waste electrical and electronic equipment (WEEE) highlights its significance as a critical waste stream, with plastics comprising 30% of its volume. These plastics often contain hazardous brominated flame retardants (BFRs), which are regulated to prevent negative environmental and public health impacts, but are predominantly managed through incineration, challenging circular economy goals. Addressing this issue requires innovation in sorting technologies and predictive methodologies to reduce reliance on incineration and enhance recycling efficiency. Despite progress, existing recycling practices are hindered by overly conservative contamination assumptions and a lack of detailed data on WEEE characteristics, leading to resource inefficiencies and missed opportunities for material recovery. This research aimed to bridge these gaps by developing a Random Forest-based predictive model to classify WEEE plastics as recyclable or non-recyclable, thereby supporting sustainable waste management. Using a dataset of over 15,000 samples analysed for polymer type, bromine concentration as an indicator of recyclability, and five additional variables, the model demonstrated 80-88% accuracy in validation tests. Polymer type appeared as the most significant predictor, followed by manufacturer and year of manufacture. Regional testing highlighted the adaptability of the model but also underscored the need for extended datasets and improved data management to simplify variable retrieval, as the model relies on hard-to-access data. The findings of this study have broad implications, including enhanced sorting efficiency, regulatory compliance, and alignment with circular economy principles. By refining classification accuracy and expanding its application, the model offers a scalable solution to advancing WEEE recycling and optimizing resource recovery, thereby promoting sustainability and reducing the environmental impact.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Implementation challenges of blockchain technology in closed-loop supply chain: A Waste Electrical and Electronic Equipment (WEEE) management perspective in developing countries
    Joshi, Sudhanshu
    Sharma, Manu
    Barve, Akhilesh
    SUPPLY CHAIN FORUM, 2023, 24 (01): : 59 - 80
  • [42] Increase of the Recycling Quota for Waste Electrical and Electronic Equipment
    Erhöhung der Verwertungsquoten beim Recycling von Elektronikschrott
    Stuhlpfarrer, Philipp (philipp.stuhlpfarrer@unileoben.ac.at), 1600, Springer (158): : 85 - 90
  • [43] Thermal and Catalytic Recycling of Plastics from Waste Electrical and Electronic Equipment-Challenges and Perspectives
    Achilias, Dimitris S.
    Charitopoulou, Maria-Anna
    Ciprioti, Stefano Vecchio
    POLYMERS, 2024, 16 (17)
  • [44] Heavy metal contamination characteristic of soil in WEEE (waste electrical and electronic equipment) dismantling community: a case study of Bangkok, Thailand
    Seelawut Damrongsiri
    Sujitra Vassanadumrongdee
    Puntita Tanwattana
    Environmental Science and Pollution Research, 2016, 23 : 17026 - 17034
  • [45] Heavy metal contamination characteristic of soil in WEEE (waste electrical and electronic equipment) dismantling community: a case study of Bangkok, Thailand
    Damrongsiri, Seelawut
    Vassanadumrongdee, Sujitra
    Tanwattana, Puntita
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (17) : 17026 - 17034
  • [46] Management of Waste Electrical and Electronic Equipment in Turkiye
    Birpinar, Mehmet Emin
    Akdeniz, Recep
    Karabulut, Sadiye Bilgic
    Ayhan, Sabriye
    Kucuk, Sinem Busra
    PROCEEDINGS OF THE 6TH EURASIA WASTE MANAGEMENT SYMPOSIUM, EWMS 2022, 2022, : 57 - 62
  • [47] Assessment of legislation and practices for the sustainable management of waste electrical and electronic equipment in India
    Pathak, Pankaj
    Srivastava, Rajiv Ranjan
    Ojasvi
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 78 : 220 - 232
  • [48] Feeding preference of insect larvae to waste electrical and electronic equipment plastics
    Zhu, Ping
    Shen, Yilin
    Li, Xiaowei
    Liu, Xiankai
    Qian, Guangren
    Zhou, John
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 807
  • [49] Towards a high quality recycling of plastics from waste electrical and electronic equipment through separation of contaminated fractions
    Alassali, Ayah
    Barouta, Despoina
    Tirion, Hugo
    Moldt, Yanik
    Kuchta, Kerstin
    JOURNAL OF HAZARDOUS MATERIALS, 2020, 387
  • [50] Management system of waste electrical and electronic equipment. System dynamics approach
    Rodriguez B, Luz Angelica
    Gonzalez E, Nicolas
    Reyes R, Lorena S.
    Torres R, Andres F.
    SISTEMAS & TELEMATICA, 2013, 11 (24): : 38 - 52