Numerical investigation on ash deposition on the surface of tube bundle

被引:5
|
作者
Zheng, Zhimin [1 ,2 ]
Yang, Wenmin [1 ,2 ]
Cai, Yongtie [1 ,2 ]
Xu, Mingchen [1 ,2 ]
Boon, Siah Keng [1 ,3 ]
Subbaiah, Prabakaran [1 ,3 ]
机构
[1] Sembcorp NUS Corp Lab, Block E1A,04-01,1 Engn Dr 2, Singapore 117576, Singapore
[2] Natl Univ Singapore, Dept Mech Engn, Block EA,07-08,9 Engn Dr 1, Singapore 117575, Singapore
[3] Sembcorp Ind Ltd, 30 Hill St,05-04, Singapore 179360, Singapore
来源
LEVERAGING ENERGY TECHNOLOGIES AND POLICY OPTIONS FOR LOW CARBON CITIES | 2017年 / 143卷
基金
新加坡国家研究基金会;
关键词
ash deposition; numerical modeling; fine particle; deposition model; dynamic mesh; MODEL;
D O I
10.1016/j.egypro.2017.12.693
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ash deposition is a major challenge for boilers fired with coal, biomass as well as other solid fuels. It can cause fouling and slagging along the flow path of flue gas, resulting in significant efficiency drop and safety problem. For these reasons, ash deposition needs to be further studied. Computational Fluid Dynamics (CFD) is an effective tool for predicting ash deposition. But there is still a big space for this technology to improve the prediction accuracy due to the complexity of ash deposition problem. Ash deposition is actually a dynamic process, some important parameters such as surface temperature and the shape of ash deposit will change with the going on of deposition time, which have significant influences on ash deposition. In this paper, an effective tool based on CFD was developed to simulate the process of ash deposition with some sub-models implemented into User Defined Function (UDF) codes. Ash deposition on a bundle of tubes was investigated in the unsteady mode. Both inertia and thermophoresis deposition mechanisms are considered in ash deposition model. Fine particles (<10 mu m) play an important role at the initial stage of ash deposit formation. It is because that the deposition of these fine particles is largely dependent on the temperature gradient between flue gas and surface of ash deposit. The variation of surface temperature and shape of ash deposit with time were predicted. The differences of deposition properties on the tubes at different positions were found. The modelling results indicate that the proposed method is an effective tool to predict the formation and growth of ash deposit. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:336 / 341
页数:6
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