Data reconciliation and equilibrium constant estimation: Application to copper solvent extraction

Bazin, C.; Hodouin, D.; Zouadi, Mohamed

doi:10.1016/j.hydromet.2005.06.014

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…According to Cu 2+ extraction reaction Eq. 1, 1g/L of Cu 2+ up load into organic phase from feed solution will result in approximately 1.54g/L H 2 SO 4 in raffinate [2]. But the actual changes of Cu 2+ and H 2 SO 4 in faffinate are not in agreement with the stoichiometric coefficient (Table 5).…”

Section: Resultsmentioning

confidence: 91%

Research on Copper Solvent Extraction from the Solution Containing High Concentration of Sulphuric Acid and Iron

Jin

Shi

2011

AMR

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Three commercial extractants LIX984N, LIX606N and LIX973N were chosen for the research on Cu2+extraction from the solutions bearing high concentration of sulfuric acid and iron. The ability of Cu2+extraction and Cu/Fe separation performance were totally compared among the three extractants. The results show that LIX606N and LIX973N both possess more powerful ability in Cu2+extraction as compared to LIX984N. But, LIX973N and LIX984N has better Cu/Fe separation performance than LIX606N. According to the performance of Cu2+extraction and Cu/Fe separation, LIX973N is more suitable for extracting Cu2+from the solution rich in sulfuric acid and Fe3+.Effects of sulfuric acid and Fe3+concentration on Cu2+extraction by 20%LIX973N-kerosene have been examined. When aqueous sulfuric acid concentration increases from 23.48g/L to 62.16g/L, Cu2+extraction recovery drops from 60.42% to 25.21%; When aqueous Fe3+concentration increases from 7.03g/L up to 42.94g/L, Fe3+concentration in organic phase increases from 0.26g/L to 0.82g/L.

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Section: Resultsmentioning

confidence: 91%

Research on Copper Solvent Extraction from the Solution Containing High Concentration of Sulphuric Acid and Iron

Jin

Shi

2011

AMR

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“…For ore type material, this error is reduced by pulverizing the sample prior to sampling. However, the metallic and ductile nature of the ZPR makes impossible the pulverization of the sample, and thus one should expect a variability in the assays that data reconciliation [13][14][15][16] as applied here should be able to attenuate.…”

Section: Size Distributionmentioning

confidence: 99%

Recovery of Cobalt from the Residues of an Industrial Zinc Refinery

Boisvert

Turgeon

Boulanger

et al. 2020

Metals

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The electrolytic production of metallic zinc from processing zinc sulfide concentrates generates a residue containing cadmium, copper, and cobalt that need to be removed from the electrolytic zinc solution because they are harmful to the zinc electro-winning process. This residue is commonly sent to other parties that partly recover the contained elements. These elements can generate revenues if recovered at the zinc plant site. A series of laboratory tests were conducted to evaluate a method to process a zinc plant residue with the objective of recovering cobalt into a salable product. The proposed process comprises washing, selective leaching, purifying and precipitation of cobalt following its oxidation. The process allows the production of a cobalt rich hydroxide precipitate assaying 45 ± 4% Co, 0.8 ± 0.2% Zn, 4.4 ± 0.7% Cu, and 0.120 ± 0.004% Cd at a 61 ± 14% Co recovery. Replicating the whole process with different feed samples allowed the identification of the critical steps in the production of the cobalt product; one of these critical steps being the control of the oxidation conditions for the selective precipitation step.

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“…Data rectification technology have been applied in practice [31] [32]. A lot of commercial softwares also appeared, such as the Aspen Operation Reconciliation and Accounting of AspenTech company, Production Balance in the Business FLEX suite of the Honeywell company, ESP-Supplant DataPro of Supcon company and so on.…”

Section: The Application Of Data Rectification Technologymentioning

confidence: 99%

A Review on Data-Driven Modelling and Data Rectification for Steam Pipe Networks in Irona Steel Enterprises

Luo¹,

Wang²,

Deng³

et al. 2018

Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)

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：Steam pipe network is important facility in the iron& steel enterprises to recycling the waste heat energy and reduce the comprehensive energy consumption. In this paper, we analyze the necessity of data-driven modelling and data reconciliation for the schedule and operation of steam system through EMS. The related technologies, including the steam pipe network modelling, fault data detection, process monitoring, and data rectification are reviewed in detail. We also investigate the current application condition of data rectification in industry and present the potentials and the problems for the application in steam pipe networks. The probable solutions for different problems and research directions are suggested for practical application at the end.

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Data reconciliation and equilibrium constant estimation: Application to copper solvent extraction

Cited by 10 publications

References 11 publications

Research on Copper Solvent Extraction from the Solution Containing High Concentration of Sulphuric Acid and Iron

Research on Copper Solvent Extraction from the Solution Containing High Concentration of Sulphuric Acid and Iron

Recovery of Cobalt from the Residues of an Industrial Zinc Refinery

A Review on Data-Driven Modelling and Data Rectification for Steam Pipe Networks in Irona Steel Enterprises

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