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Development and Utilization of Detailed Process and Technology Models at RUSAL Alumina Refineries

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Light Metals 2018 (TMS 2018)

Part of the book series: The Minerals, Metals & Materials Series ((MMMS))

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Abstract

RUSAL is completing the development of detailed steady-state mathematical models of the process technology of its alumina refineries in the current year. Models have been developed for refineries based on different technologies: Bayer process, parallel Bayer-Sinter and Sinter processes. Each model includes equipment specifications for the production sites, mud disposal and Combined Heat and Power Plants (CHPP). The control logic of the models reproduces a refinery control system. Particular attention was paid to the creation of kinetics relationships for digestion processes, which help to predict recovery of alumina and alkali, as well as the thermodynamic equilibrium of impurities in liquors. A large number of laboratory studies have been performed for the development of these thermodynamic and kinetic models. Several types of problems are solved using these mathematical process models, such as sensitivity investigations, “What-if” analyses, production optimization, business planning and estimation of capital investment efficiency. RUSAL has organized departments for mathematical modeling at their refineries and a central development team in its St. Petersburg office. Refinery specialists monitor the production process, and perform routine daily calculations. They propose solutions for managing the production process to achieve maximum refinery efficiency based on their experience and modelling results.

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References

  1. V.O. Golubev, T.E. Litvinova, V.N. Brichkin. Review of Software for Process Flow Simulation: Reality and Perspectives of Usage in Metallurgy // Math Designer, 2017. P. 4–8.

    Google Scholar 

  2. Yanli Xie, Qun Zhao, Zhenan Lu, Shiwen Bi. Study on negative effect of K2O on precipitation of gibbsite // Light Metals. 2005. P. 219–222.

    Google Scholar 

  3. V.N. Brichkin, E.A. Alekseeva, N.V. Nikolaeva et al. Effect of potassium on the solubility of aluminum hydroxide in alkaline aluminate solutions and their decomposition. // Notes of the Mining Institute. 2012. P. 113–116.

    Google Scholar 

  4. A.V. Bekker, T.S. Li, I. Livk. Understanding oscillatory behaviour of gibbsite precipitation circuits // Chemical Engineering Research and Design. 2015. P. 113–124.

    Article  CAS  Google Scholar 

  5. A.V. Bekker, T.S. Li, I. Livk. Dynamic response of a plant-scale gibbsite precipitation circuit // Hydrometallurgy, 2016. P. 1–13.

    Google Scholar 

  6. Froisy, J.B. Model predictive control – Building a bridge between theory and practice / J.B. Froisy // Computers and Chemical Engineering. 2006. No. 30. P. 1426–1435.

    Google Scholar 

  7. Qin, S.J. A survey of industrial model predictive control technology / S.J. Qin, T.A. Badgwell // Control Engineering Practice, 2003. No. 11. P. 733–764.

    Article  Google Scholar 

  8. Kalafatis, A. Multivariable step testing for MPC projects reduces crude unit testing time / A. Kalafatis, K. Patel, M. Harmse et al. // Hydrocarbon Processing, 2006, P. 93–100.

    Google Scholar 

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Correspondence to M.-B. Balde .

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© 2018 The Minerals, Metals & Materials Society

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Balde, MB., Golubev, V.O., Chistyakov, D.G. (2018). Development and Utilization of Detailed Process and Technology Models at RUSAL Alumina Refineries. In: Martin, O. (eds) Light Metals 2018. TMS 2018. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-319-72284-9_10

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