A profitability assessment of European recycling processes treating printed circuit boards from waste electrical and electronic equipments

F. Cucchiella,I. D’Adamo,S. Koh,P. Rosa

Published 2016 in Renewable & Sustainable Energy Reviews

ABSTRACT

The management of waste electrical and electronic equipment (WEEE) is a well-stressed topic in the scientific literature. However, (i) the amount of cash flows potentially reachable, (ii) the future profitability trends and (iii) the reference mix of treated volumes guaranteeing a certain profitability level are not so clear, and related data are unrecoverable. The purpose of the paper is to fill in this gap by identifying the presence of profitability within the recovery process of waste printed circuit boards (WPCBs) embedded in WEEE. Net present value (NPV) and discounted payback time (DPBT) are used as reference indexes for the evaluation of investments. In addition, a sensitivity analysis of critical variables (plant saturation level, materials content, materials market prices, materials final purity level and WPCBs purchasing and opportunity costs) demonstrates the robustness of the results. Furthermore, the calculation of the national NPV for each of the twenty-eight European nations (in function of both WPCB mix and generated volumes) and the matching of predicted WPCB volumes (within the 2015–2030 period) and NPV quantify potential advantages. The break even point of gold allowing some profits from selected recovery plants goes from 73 to 93 ppm per WPCB ton, for mobile and field plants, respectively. Finally, the overall European values go from 2404 million € (mobile plant) to 4795 million € (field plant) in 2013, with Germany and United Kingdom as reference nations.

PUBLICATION RECORD

  • Publication year

    2016

  • Venue

    Renewable & Sustainable Energy Reviews

  • Publication date

    2016-10-01

  • Fields of study

    Business, Engineering, Environmental Science, Economics

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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