| 000 | 03555nlm1a2200445 4500 | ||
|---|---|---|---|
| 001 | 668659 | ||
| 005 | 20231030042155.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\39896 | ||
| 035 | _aRU\TPU\network\39099 | ||
| 090 | _a668659 | ||
| 100 | _a20230116a2022 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aNL | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aUnsteady state simulation of gasoline fraction pyrolysis _fA. A. Bunaev, I. M. Dolganov, I. O. Dolganova |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 330 | _aPyrolysis of various hydrocarbon feedstock is one of the key processes for production of monomers for polymer industry. During this process mixture of hydrocarbons is heated at high temperatures and in the absence of oxygen in furnace coil. However, coke settles on the inner walls of the coil due to side reactions of polymerization and consecutive polycondensation. This phenomenon decreases efficiency of process, thus, making it unstable. Therefore, existing stationary models might not be suitable for simulation of the process as they do not usually take into account influence of coke formations on kinetic, hydrodynamic or thermal aspects of pyrolysis. In this paper, development of unsteady-state model is presented as incremental improvement towards the solution of process optimization and forecasting of its performance. Thus, the model provides ability to understand deeper the influence of operating parameters on the coke formation process. The model allows to simulate coke deposition along the coil through intergeneration cycle, considering composition of provided feedstock. Dependencies of target products yields and coke layer growth rate on such operating parameters as inlet pressure, temperature and feedstock mass flow rate were determined. The inlet pressure varied from 0.3 to 0.75 MPa, the temperature varied from 780 to 850 °C and the flow rate – from 3600 to 5000 kg/h. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | _tSouth African Journal of Chemical Engineering | ||
| 463 |
_tVol. 42 _v[P. 146-155] _d2022 |
||
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _apyrolysis | |
| 610 | 1 | _ahydrocarbon feedstock | |
| 610 | 1 | _aunsteady-state | |
| 610 | 1 | _amathematical model | |
| 610 | 1 | _aпиролиз | |
| 610 | 1 | _aуглеводородное сырье | |
| 610 | 1 | _aнестационарные состояния | |
| 610 | 1 | _aматематические модели | |
| 700 | 1 |
_aBunaev _bA. A. _cchemist _cengineer of Tomsk Polytechnic University _f1996- _gAyur Alekseevich _2stltpush _3(RuTPU)RU\TPU\pers\47027 |
|
| 701 | 1 |
_aDolganov _bI. M. _cChemical Engineer _cEngineer of Tomsk Polytechnic University _f1987- _gIgor Mikhailovich _2stltpush _3(RuTPU)RU\TPU\pers\32216 |
|
| 701 | 1 |
_aDolganova _bI. O. _cchemist _cAssociate Scientist of Tomsk Polytechnic University, postgraduate student, candidate of technical Sciences _f1988- _gIrena Olegovna _2stltpush _3(RuTPU)RU\TPU\pers\31271 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа природных ресурсов _bОтделение химической инженерии _h8085 _2stltpush _3(RuTPU)RU\TPU\col\23513 |
| 801 | 2 |
_aRU _b63413507 _c20230116 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.1016/j.sajce.2022.08.007 | |
| 942 | _cCF | ||