Dynamic modelling of E-waste recycling system performance based on product design

摘要: Abstract E-waste covers a wide range of products as well dismantled and/or sorted components originating from these. Being able to predict the flow materials and recycling performance for different types requires fundamental flexible basis in which design properties are linked liberation separation recycling. This paper discusses authors’ design-determined dynamic models monitor technologically, economically environmentally. The uniqueness this work lies modelling product characteristics terms tables that define mass material connections derived real-time. shredding process is modelled by defining shredder connection, tables, based on heuristic extensive data collection experiments. allows design-driven process. behaviour prediction particle composition degree after novel approach link recyclate quality performance. Key multi- mono-material particles not pre-defined earlier work, but predicted function choices can vary accordingly. evolution these underpinned industrial various WEEE categories, was used calibrate models. time dependent characteristic technology adoption over time. discussed predictive framework provides first principles calculation dispersion harmful/valuable elements environmental impact. optimizes spending money large scale trials monitoring test establish results. At same legislation policy recyclability be tested if it stands or new designs comply with future. Prediction performance, toxicity design, (future) system configurations will demonstrated examples, includes an evaluation advisable precious platinum group recovery during Also so important balance between energy feedstock shown.