Published February 2021 | Version v1
Journal article

Two-fluid simulation of moving grate waste incinerator: Comparison of 2D and 3D bed models

  • 1. Department of Energy and Chemical Engineering, East China University of Science and Technology, Shanghai, 200237 (China)
  • 2. Shanghai SUS Environment Co., LTD., Shanghai, 201703 (China)

Description

Highlights: • An efficient computational method for moving grate incinerators is proposed. • An interactive two-way coupling bed model is realized. • Results are validated by 3D full-incinerator results and on-site measurement data. • Effects of operating parameters on the bed incineration are investigated. • Relative importance to incineration: particle size > residence time > throughout. CFD-based simulation models of large-scale moving grate combustor for biomass and municipal solid waste are not well established. Although a 3D transient two-fluid model provides dynamic coupling between the fuel bed and the freeboard, simulation of a whole incinerator is extremely computational intensive and difficult for industrial applications. In this paper, an efficient computational method is proposed where a 2D bed model is combined with a 3D steady furnace model. In the new approach, the bed model includes a transient two-fluid simulation using realistic grate geometry cut by the incinerator throat, which includes a dynamic coupling of heat and mass transfers between the fuel bed and the lower combustion chamber. The simulated bedtop profiles are then used as inlet conditions to run a 3D steady simulation of turbulent gas combustion for the whole furnace. The simulation results are validated with our previous 3D transient full-incinerator results (Xia et al., 2020) [1] and on-site measurement data. In addition, effects of particle size, waste throughput, and residence time on the bed incineration performance are investigated. Overall, the current computational method highly promotes the efficiency of modelling industrial moving grate combustors.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2020.119257

Additional details

Identifiers

DOI
10.1016/j.energy.2020.119257;
PII
S0360544220323641;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
216
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2020 Elsevier Ltd. All rights reserved.