Journal ArticleDOI
Economic potential of recycling e-waste in India and its impact on import of materials
TLDR
In this article, an economic analysis of the e-waste generation in India using market supply method combined with substance flow analysis is presented to quantify the common, precious, and critical raw materials embedded in WEEE and further determine their recovery economic potential.About:
This article is published in Resources Policy.The article was published on 2021-12-01. It has received 17 citations till now. The article focuses on the topics: Extended producer responsibility & Supply chain.read more
Citations
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Sustainable waste electrical and electronic equipment management guide in emerging economies context: A structural model approach
TL;DR: In this paper , the authors identified 23 potential enablers through literature review and discussion with domain experts, and analyzed the cause-effect relationship using a hybrid grey-based decision-making trial and evaluation laboratory approach.
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Is Extended Producer Responsibility living up to expectations? A systematic literature review focusing on electronic waste
TL;DR: In this article , the authors provide a systematic literature review aiming to comprehensively examine the outcomes of EPR implementation in the WEEE scope, by adopting a PLC perspective, highlighting the accomplishment of important downstream goals of Epr on WEEE, such as the increase of waste collection rates and the development of stable waste management systems.
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Memristors with Biomaterials for Biorealistic Neuromorphic Applications
TL;DR: The state of the art of biomemristors are comprehensively summarized and systematically discussed with particular attention on their unique biorealistic features.
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A comprehensive review of urban mining and the value recovery from e-waste materials
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A sensor combination based automatic sorting system for waste washing machine parts
TL;DR: Wang et al. as mentioned in this paper investigated the sensor-based sorting of waste washing machine parts and used object recognition algorithm to classify them, and a sorting platform based on their device and algorithm was designed.
References
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Journal ArticleDOI
Recycling of WEEEs: An economic assessment of present and future e-waste streams
TL;DR: In this article, an economic assessment of the potential revenues coming from the recovery of 14 e-products (e.g., LCD notebooks, LED notebooks, CRT TVs, LCD TVs, LED TVs, CRTs, LCD monitors, LED monitors, cell phones, smart phones, PV panels, HDDs, SSDs and tablets) on the base of current and future disposed volumes in Europe is presented.
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What Do We Know About Metal Recycling Rates
Thomas E. Graedel,Julian M. Allwood,Jean-Pierre Birat,Matthias Buchert,Christian Hagelüken,Barbara K. Reck,Scott F. Sibley,Guido Sonnemann +7 more
TL;DR: The recycling of metals is widely viewed as a fruitful sustainability strategy, but little information is available on the degree to which recycling is actually taking place as discussed by the authors, which is a concern.
The Global E-waste Monitor 2020: Quantities, flows and the circular economy potential
TL;DR: In 2019, the world generated a striking 536 Mt of e-waste, an average of 73 kg per capita, an increase of 92 Mt since 2014 and is projected to grow to 747 Mt by 2030 as discussed by the authors.
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Uncovering the Recycling Potential of “New” WEEE in China
TL;DR: This study first estimates and predicts China's new WEEE generation for the period of 2010-2030 using material flow analysis and the lifespan model of the Weibull distribution, and determines the amounts of valuable resources encased annually in WEEE, and their dynamic transfer from in-use stock to waste.
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Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis
TL;DR: An advanced, flexible and multivariate Input-Output Analysis (IOA) method is proposed, which links all three pillars in IOA to construct mathematical relationships between various data points to increase the reliability of e-waste estimates compared to the approach without data processing.