Manuscript accepted on : 03 September 2015
Published online on: --
Mathematical Modelling of the Low-reactive Coal Gasification in The Upward Annular Flow
Nikolai Nikolaevich Efimov, Alexander Alekseevich Belov, Dmitry Anatolyevich Shaforost, Vera Sergeevna Pryatkina and Valeria Aleksandrovna Starostenko
Federal State Educational Institution of Higher Professional Education “South-Russian State Polytechnic University named after M.I. Platov” (Novocherkassk Polytechnic Institute) Russia, 346428, Rostovskaya obl, Novocherkassk, ul. Prosvescheniya, 132
DOI : http://dx.doi.org/10.13005/bbra/2261
ABSTRACT: mathematical model of the low-reactive coal gasification in a vertical upward annular oxidant flow is presented in this work. Air, oxygen or their mixture are used as an oxidizing agent. The developed model is static, one-dimensional with the parameters, distributed along the vertical axis. It is based on differential equations of the energy and mass conservation for a multi-component stationary flow, in which ten chemical reactions occur. In case of the identification of new chemical reactions with the noticeable impact on the results of modelling, it is easy to add them to the existing ones, with all computational processes remaining unchanged. Using the developed model, we composed a computer programme, with which computational experiments were carried out.
KEYWORDS: Coal gasification; kinetics; mathematical model; differential equations; matrices; computer programme; stationary flow; computational experiment
Download this article as:Copy the following to cite this article: Efimov N. N, Belov A. A, Shaforost D. A, Pryatkina V. S, Starostenko V. A. Mathematical Modelling of the Low-reactive Coal Gasification in The Upward Annular Flow. Biosci Biotech Res Asia 2015;12(spl.edn.2) |
Copy the following to cite this URL: Efimov N. N, Belov A. A, Shaforost D. A, Pryatkina V. S, Starostenko V. A. Mathematical Modelling of the Low-reactive Coal Gasification in The Upward Annular Flow. Biosci Biotech Res Asia 2015;12(spl.edn.2). Available from:https://www.biotech-asia.org/?p=13681 |
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