文献类型：期刊文献

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

作者：Xia, Zihong[1];Long, Jisheng[2];Yan, Shuai[1];Bai, Li[2];Du, Hailiang[2];Chen, Caixia[1]

机构：[1]East China Univ Sci & Technol, Dept Energy & Chem Engn, Shanghai 200237, Peoples R China;[2]Shanghai SUS Environm Co LTD, Shanghai 201703, Peoples R China

年份：2021

卷号：216

外文期刊名：ENERGY

收录：;EI(收录号：20204709508737);WOS:【SCI-EXPANDED(收录号:WOS:000603310100007)】；

基金：The authors acknowledge the financial support by the National Natural Science Foundation of China (21908062) and Shanghai SUS Environment Co., LTD (SUS17K-605-01).

语种：英文

外文关键词：Moving grate combustor; Two-fluid simulation; Direct bed-furnace coupling; 2D and 3D bed models; Steady and transient simulations

摘要：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. (C) 2020 Elsevier Ltd. All rights reserved.