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Synthesis of hydrometallurgical processes for valorization of secondary raw materials using ant colony optimization and key performance indicators
An algorithm-based method for synthesis of hydrometallurgical processes using limited amounts of experimental data is presented. The method enables simultaneous selection and sequencing of unit operations and optimization of operating parameters. An ant colony optimization (ACO) based algorithm is u...
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Published in: | Hydrometallurgy 2015-03, Vol.153, p.121-133 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | An algorithm-based method for synthesis of hydrometallurgical processes using limited amounts of experimental data is presented. The method enables simultaneous selection and sequencing of unit operations and optimization of operating parameters. An ant colony optimization (ACO) based algorithm is used to identify the most economic process alternative in an iterative manner. Key performance indicators are used for comparison of candidate processes: a purification performance index measures purity improvement and a separation cost indicator is used as an objective function in process optimization. Computational times were reduced significantly with the suggested method compared to an algorithm which evaluates all the possible process options. The practical applicability of the method to hydrometallurgy is demonstrated by investigating zinc recovery from argon oxygen decarburization dust with two alternative leaching methods and recovery of lanthanides from nickel metal hydride (NiMH) batteries. In the first zinc recovery process, 150min normal batch leaching with 0.5M H2SO4 is used, and in the other one 270min batch leaching with H2SO4 is done by controlling the pH (>3.0). In both cases the leachate is extracted with D2EHPA at pH4.27, and stripped with circulating solution from zinc electrolysis. For lanthanides recovery the algorithm suggested a process in which the raw material is leached with 1.3M HCl, the leachate is extracted with D2EHPA at pH2.2, organic phase is stripped with 2.0M HCl and 99% pure Ln-oxalates are precipitated with oxalic acid at pH0.6. Compared to previously suggested process for the same raw material, the algorithm suggests operating the leaching step such that higher selectivity is achieved by sacrificing some yield.
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•Method for synthesis of hydrometallurgical processes with limited amount of experimental data.•Key performance indicators characterize purification performance and costs.•The stochastic method offers significantly reduced computation times. |
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ISSN: | 0304-386X 1879-1158 |
DOI: | 10.1016/j.hydromet.2015.02.004 |