Techno-economic analysis of integrated processes for the treatment and valorisation of neutral coal mine effluents
Journal of Cleaner Production, ISSN: 0959-6526, Vol: 270, Page: 122472
2020
- 24Citations
- 45Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The disposal of highly-concentrated neutral coal mine effluents into the environment constitutes a severe threat to the natural ecosystem. This work proposes and compares five novel treatment chains to purify the effluent and recover raw materials. The chains present different combinations of pre-treatment and concentration technologies. In all cases, the solution sent to the concentration step is concentrated up to saturation to recover water and sodium chloride. Concerning the technical performances, the treatment chains are compared in terms of total energy demand and salt recovery. Furthermore, the economic feasibility assessment is performed via a novel global parameter, i.e. the levelized cost of the produced NaCl crystals (Levelized Salt Cost, LSC). The energetic and economic analysis of the chains highlighted that the thermal energy demand of the concentration technology covers the highest share of the total demand and the relevant costs are among the highest expenditures. Also, the revenues given by Mg(OH) 2 production were found to play a key role in offsetting the treatment costs. Among the treatment chains analysed, the one composed by two nanofiltration units and two crystallizers in the pre-treatment step and a multi-effect distillation unit in the concentration step showed the highest recovery of NaCl and turned out to be the most economically feasible. The relevant LSC (∼100 $/ton NaCl ) was the lowest and it was comparable with the lower bound of the current range of price of high-purity NaCl crystals. In conclusion, the findings of this work contribute to improving the sustainability of the coal mine industrial sector, by proposing economically feasible solutions for the treatment and valorisation of its neutral effluent.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0959652620325191; http://dx.doi.org/10.1016/j.jclepro.2020.122472; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85088402978&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0959652620325191; https://dx.doi.org/10.1016/j.jclepro.2020.122472
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know