Spatiotemporal distribution model for zinc electrowinning process and its parameter estimation
This paper focuses on the distributed parameter modeling of the zinc electrowinning process (ZEWP) to reveal the spatiotemporal distribution of concentration of zinc ions (CZI) and sulfuric acid (CSA) in the electrolyte. Considering the inverse diffusion of such ions in the electrolyte, the dynamic...
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| Published in | Journal of Central South University Vol. 24; no. 9; pp. 1968 - 1976 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Changsha
Central South University
01.09.2017
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2095-2899 2227-5223 |
| DOI | 10.1007/s11771-017-3605-7 |
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| Abstract | This paper focuses on the distributed parameter modeling of the zinc electrowinning process (ZEWP) to reveal the spatiotemporal distribution of concentration of zinc ions (CZI) and sulfuric acid (CSA) in the electrolyte. Considering the inverse diffusion of such ions in the electrolyte, the dynamic distribution of ions is described by the axial dispersion model. A parameter estimation strategy based on orthogonal approximation has been proposed to estimate the unknown parameters in the process model. Different industrial data sets are used to test the effectiveness of the spatiotemporal distribution model and the proposed parameter estimation approach. The results demonstrate that the analytical model can effectively capture the trends of the electrolysis reaction in time and thus has the potential to implement further optimization and control in the ZEWP. |
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| AbstractList | This paper focuses on the distributed parameter modeling of the zinc electrowinning process (ZEWP) to reveal the spatiotemporal distribution of concentration of zinc ions (CZI) and sulfuric acid (CSA) in the electrolyte. Considering the inverse diffusion of such ions in the electrolyte, the dynamic distribution of ions is described by the axial dispersion model. A parameter estimation strategy based on orthogonal approximation has been proposed to estimate the unknown parameters in the process model. Different industrial data sets are used to test the effectiveness of the spatiotemporal distribution model and the proposed parameter estimation approach. The results demonstrate that the analytical model can effectively capture the trends of the electrolysis reaction in time and thus has the potential to implement further optimization and control in the ZEWP. |
| Author | Yang, Chun-hua Deng, Shi-jun Zhu, Hong-qiu Li, Yong-gang Wu, Tie-bin |
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| CitedBy_id | crossref_primary_10_1016_j_neucom_2019_11_022 crossref_primary_10_1016_j_engappai_2023_106572 crossref_primary_10_1515_pjbr_2022_0006 crossref_primary_10_1007_s12613_022_2448_x |
| Cites_doi | 10.1016/S0960-8524(01)00197-3 10.1007/s11771-015-2730-4 10.1016/j.amc.2009.04.015 10.1007/s10800-013-0538-1 10.1016/j.jprocont.2010.06.016 10.1002/cjce.21880 10.1149/2.084208jes 10.1007/BF00254148 10.1016/j.jprocont.2012.09.008 10.1007/s10800-009-9786-5 10.1016/j.cnsns.2009.04.011 10.1016/j.mineng.2010.01.010 10.1021/ie401619h 10.1109/72.977311 10.1016/j.amc.2009.03.042 10.1109/TPWRS.2004.836221 10.1016/j.amc.2015.05.003 10.1016/j.camwa.2011.03.032 10.1016/j.ces.2012.04.011 10.1109/TCST.2013.2270182 10.1016/j.hydromet.2013.09.015 10.1023/A:1014751327614 10.1007/BF01027494 10.1016/S1874-1029(13)60022-1 |
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| Keywords | zinc electrowinning parameter estimation orthogonal approximation spatiotemporal distribution model |
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| SubjectTerms | Electrolysis Electrolytes Electrowinning Engineering Mathematical models Metallic Materials Parameter estimation Process parameters Sulfuric acid Zinc |
| Title | Spatiotemporal distribution model for zinc electrowinning process and its parameter estimation |
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