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V. Bobkov, V. Borisov, M. Dli, V. Meshalkin (2015)
Multicriterial optimization of the energy efficiency of the thermal preparation of raw materialsTheoretical Foundations of Chemical Engineering, 49
V. Meshalkin, V. Bobkov, M. Dli, S. Khodchenko (2017)
Computer-aided modeling of the chemical process of drying of a moving dense multilayer mass of phosphorite pelletsDoklady Chemistry, 475
S. Elgharbi, K. Horchani-Naifer, M. Ferid (2014)
Investigation of the structural and mineralogical changes of Tunisian phosphorite during calcinationsJournal of Thermal Analysis and Calorimetry, 119
V. Meshalkin, V. Bobkov, M. Dli, S. Khodchenko (2017)
Optimizing the energy efficiency of the chemical and energy engineering process of drying of a moving dense multilayer mass of phosphorite pelletsDoklady Chemistry, 477
S. Rudobashta (2010)
Calculation of the kinetics of drying disperse materials on the basis of analytical methodsJournal of Engineering Physics and Thermophysics, 83
P. Luis, B. Bruggen (2014)
Exergy analysis of energy‐intensive production processes: advancing towards a sustainable chemical industryJournal of Chemical Technology & Biotechnology, 89
ISSN 0012-5008, Doklady Chemistry, 2019, Vol. 486, Part 1, pp. 144–148. © Pleiades Publishing, Ltd., 2019. Russian Text © The Author(s), 2019, published in Doklady Akademii Nauk, 2019, Vol. 486, No. 3. CHEMICAL TECHNOLOGY Optimizing the Energy Eff iciency of a Local Process of Multistage Drying of a Moving Mass of Phosphorite Pellets a,b c, c a a Academician V. P. Meshalkin , V. I. Bobkov *, M. I. Dli , A. Yu. Belozerskii , and I. I. Men’shova Received August 15, 2018 Abstract—A rapid heuristic computational algorithm for optimizing the energy and resource efficiency of a local process of multistage drying of a moving mass of phosphorite pellets was developed. The algorithm is distinguished by the use of heuristic computational procedures and heuristic rules of the iterative construc- tion of a vector criterion of the efficiency of the chemical and energy engineering system. The criterion takes into account the energy consumption cost and the pellet quality indicators using both special barrier func- tions for deterministic constraints on control process variables (feed velocity and temperature of the carrier gas), and penalty functions for state variables of a local drying process (temperature gradient, heating rate, moisture content, moisture-transfer rate in
Doklady Chemistry – Springer Journals
Published: Jun 13, 2019
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