Optimizing the energy efficiency of a local process of multistage drying of a moving mass of phosphorite pellets
- Authors: Meshalkin V.P.1,2, Bobkov V.I.3, Dli M.I.3, Belozersky A.Y.1, Menshova I.I.1
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Affiliations:
- Mendeleev University of Chemical Technology of Russia
- Kurnakov Institute of General and Inorganic Chemistry of the Russian Academy of Sciences
- Smolensk Branch of the Moscow Power Engineering Institute
- Issue: Vol 486, No 3 (2019)
- Pages: 316-321
- Section: Chemical Technology
- URL: https://journals.eco-vector.com/0869-5652/article/view/13477
- DOI: https://doi.org/10.31857/S0869-56524863316-321
- ID: 13477
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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 construction 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 functions 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 pellets, temperature of the carrier gas at the outlet of the vertical multilayer pellet packing). Using the developed algorithm and software package, the scientifically grounded, optimal in energy consumption and dried pellet quality, operating conditions in local zones of drying of a travelling grate machine were determined.
About the authors
V. P. Meshalkin
Mendeleev University of Chemical Technology of Russia; Kurnakov Institute of General and Inorganic Chemistry of the Russian Academy of Sciences
Email: vovabobkoff@mail.ru
Academician of the Russian Academy of Sciences
Russian Federation, 9, Miusskaya square, Moscow, 125047; 31, Leninsky prospekt, Moscow,119991V. I. Bobkov
Smolensk Branch of the Moscow Power Engineering Institute
Author for correspondence.
Email: vovabobkoff@mail.ru
Russian Federation, 1, Energy passage, Smolensk, 214013
M. I. Dli
Smolensk Branch of the Moscow Power Engineering Institute
Email: vovabobkoff@mail.ru
Russian Federation, 1, Energy passage, Smolensk, 214013
A. Y. Belozersky
Mendeleev University of Chemical Technology of Russia
Email: vovabobkoff@mail.ru
Russian Federation, 9, Miusskaya square, Moscow, 125047
I. I. Menshova
Mendeleev University of Chemical Technology of Russia
Email: vovabobkoff@mail.ru
Russian Federation, 9, Miusskaya square, Moscow, 125047
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