Next Article in Journal
Determination of Metals’ Content in Components Mounted on Printed Circuit Boards from End-of-Life Mobile Phones
Previous Article in Journal
Exploring Biogas and Biofertilizer Production from Abattoir Wastes in Nigeria Using a Multi-Criteria Assessment Approach
 
 
Article
Peer-Review Record

Characterizing the Urban Mine—Simulation-Based Optimization of Sampling Approaches for Built-in Batteries in WEEE

by Paul Martin Mählitz 1,*, Nathalie Korf 1, Kristine Sperlich 1,2, Olivier Münch 1, Matthias Rösslein 3 and Vera Susanne Rotter 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Submission received: 13 August 2020 / Revised: 1 September 2020 / Accepted: 2 September 2020 / Published: 4 September 2020

Round 1

Reviewer 1 Report

This paper is well written and has a strong message. The use of WEEE categories to sift and analyze the data makes good sense. I believe that the informational utility of the paper could be greatly enhanced through breakout comments about the categories using the category identity such as monitor and etc. The unfamiliarity of the categories seems to limit the impact of the patterns deciphered from the analysis to identify where batteries can be found, where they are a notable problem. The different battery compositions can lead to circumstances of great danger such as li ion battery rupture leading to intense and unanticipated fires. Using the plane language description of the category could be extremely beneficial to making the patterns and trends of the data less onscure.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

This study is based on comprehensive empirical data collection and harmonized classification of built-in batteries in WEEE constituting a pilot data set for further analysis. Firstly, the results are statistically analyzed and examined for commonly assumed distribution patterns (normal and lognormal distribution). Secondly, data-driven simulation (bootstrapping) using the original sample data is performed to obtain more accurate results on WEEE battery characteristics. Finally, both a parametric approach and a nonparametric approach are employed to approximate the MSS for quantification of the mass share of built-in batteries in WEEE. The detailed data sets, as well as the recommendations on MSS, provides the a priori knowledge necessary for future sampling campaigns.

This study timely addresses the current issues in battery recycling, which is of utmost importance for the sustainability issues. However, the content of the article is only partially overlapped with my expertise. I do recommend acceptance of the manuscript after the writing is revised. The grammar errors and typos throughout the manuscript should be carefully checked. All the figures should be re-generated, since right now the figures are too small and the texts in it are not recognizable.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

The work is well structured and could be perfectly publishable. It is recommended that the introduction define more clearly both the general and specific objectives and that they are related to the results in the conclusions section.
It is recommended to synthesize the conclusions more clearly and show more clearly the lines of future research.

Just as an advice, I could include some references to specific works published in impact magazines as an example:

"Thermochemical and Economic Analysis for Energy Recovery by the Gasification of WEEE Plastic Waste from the Disassembly of Large-Scale Outdoor Obsolete Luminaires by LEDs in the Alto Alentejo Region (Portugal)". (Q2) APPLIED SCIENCES. 2020, 10 (13), 4061; https://doi.org/10.3390/app10134601

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Back to TopTop