• AE-258-114083-

A joint moment projection method and maximum entropy approach for simulation of soot formation and oxidation in diesel engines

Authors: Shaohua Wu, Chung Ting Lao, Jethro Akroyd, Sebastian Mosbach, Wenming Yang, and Markus Kraft*

Reference: Applied Energy 258, 114083, (2020)

  • An efficient numerical approach for soot simulation in diesel engines is developed.
  • This new approach is accurate, easy to implement and computationally cheap.
  • It is based on an advanced method of moments to treat the detailed soot model.
  • It enables a detailed analysis in soot formation in diesel engines at low CPU cost.

Graphical abstract A joint moment projection method and maximum entropy approach for treating the soot population balance equations is developed and presented in this work. The moment projection method is used to solve the population balance equations and generate moments that are supplied to the maximum entropy approach as a post-processing technique to reconstruct the soot particle size distribution. The particle size range required by the maximum entropy for particle size distribution reconstruction is determined based on the weighted particles generated in the moment projection method. The performance of the joint approach is first evaluated by solving a set of simplified population balance equations in MatLab, then it is implemented into a Stochastic Reactor Model engine code to simulate the formation and oxidation of soot particles in a single-cylinder direct injection diesel engine. Results suggest that the joint approach has the advantages of ease of implementation, high accuracy and low computational cost. It enables a detailed analysis on the soot formation and oxidation processes in diesel engines. Complete information on the soot particle size distribution can be provided with little CPU cost induced.

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*Corresponding author:
Telephone: +44 (0)1223 762784 (Dept) 769010 (CHU)
Address: Department of Chemical Engineering and Biotechnology
University of Cambridge
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