Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE
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Externally hosted supplementary file 1
Doi: 10.14279/depositonce-9338
Link: https://depositonce.tu-berlin.de/handle/11303/10378
Description: The attached data include the unit weight of more than 6000 waste electrical and electronic equipments (WEEE) and the batteries they contain. WEEE is classified according to the UNU keys (see Baldé, C.P.; Kuehr, R.; Blumenthal, K.; Gill, S.F.; Kern, M.; Micheli, P.; Magpantay, E.; Huisman, J.: E-waste statistics. Guidelines on classification, reporting, and indicators.). The WEEE batteries were divided into battery keys: LiPrim, LiRecharge, NiMH, NiCd, Pb, Zn, other, and unspecified.
Mählitz, P.M.; Korf, N.; Sperlich, K.; Münch, O.; Rösslein, M.; Rotter, V.S. Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE. Recycling 2020, 5, 19. https://doi.org/10.3390/recycling5030019
Mählitz PM, Korf N, Sperlich K, Münch O, Rösslein M, Rotter VS. Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE. Recycling. 2020; 5(3):19. https://doi.org/10.3390/recycling5030019
Chicago/Turabian StyleMählitz, Paul M., Nathalie Korf, Kristine Sperlich, Olivier Münch, Matthias Rösslein, and Vera S. Rotter. 2020. "Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE" Recycling 5, no. 3: 19. https://doi.org/10.3390/recycling5030019