The Effects of Nucleation on Soot Dynamic Evolution Based on the Method of Moments

2014 ◽  
Vol 529 ◽  
pp. 232-236
Author(s):  
Jin Ping Liu ◽  
Ming Rui Wei ◽  
He Lin Xiao ◽  
Fei Peng

The mathematical model of soot dynamical evolution process is built based on the discrete particles population balance theory, including particle nucleation, collision coagulation, oxidation and surface growth processes; a corresponding numerical model is established using Lagrange interpolation method of moments. Based on the perfectly-stirred reactor combustion model, coupled the numerical model with detailed chemical kinetic model. The computing platform of soot particle growth evolution is established. Meanwhile, three nucleation models are built for the soot nucleation in this paper. Two chemical reaction mechanisms are used to study different fuels combustion process. The related information of soot particle growth evolution is obtained, the effect of different nucleation model on other dynamical events such as coagulation, oxidation and surface growth processes is discussed.

Author(s):  
Bernhard F.W. Gschaider ◽  
Claudia C. Honeger ◽  
Christian E. P. Redl ◽  
Johannes Leixnering

1993 ◽  
Vol 27 (17-18) ◽  
pp. 2815-2822 ◽  
Author(s):  
Randolph D. Borys ◽  
Deborah Del Vecchio ◽  
Jean-Luc Jaffrezo ◽  
Cliff I. Davidson ◽  
David L. Mitchell

2002 ◽  
Vol 35 (50) ◽  
pp. 10705-10720
Author(s):  
Subhadip Raychaudhuri ◽  
Yonathan Shapir

Author(s):  
Gilles Prado ◽  
Jacques Lahaye ◽  
Brian S. Haynes

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5334
Author(s):  
Krzysztof Lalik ◽  
Mateusz Kozek ◽  
Szymon Podlasek ◽  
Rafał Figaj ◽  
Paweł Gut

This article presents the results of the optimization of steam generator control systems powered by mixtures of liquid fuels containing biofuels. The numerical model was based on the results of experimental research of steam generator operation in an open system. The numerical model is used to build control algorithms that improve performance, increase efficiency, reduce fuel consumption and increase safety in the full range of operation of the steam generator and the cogeneration system of which it is a component. In this research, the following parameters were monitored: temperature and pressure of the circulating medium, exhaust gas temperature, oxygen content in exhaust gas, percentage control of oil burner power. Two methods of controlling the steam generator were proposed: the classic one, using the PID regulator, and the advanced one, using artificial neural networks. The work shows how the model is adapted to the real system and the impact of the control algorithms on the efficiency of the combustion process. The example is considered for the implementation of advanced control systems in micro-, small- and medium-power cogeneration and trigeneration systems in order to improve their final efficiency and increase the profitability of implementation.


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