Published April 2021 | Version v1
Journal article

Development of a mechanistic fouling model for predicting deposit formation in a woodchip-fired grate boiler

  • 1. Department of Mechanical Engineering, National University of Singapore, Block EA, 05-05, 9 Engineering Drive 1, 117575 (Singapore)
  • 2. School of Energy and Environment, Anhui University of Technology, Ma'anshan, 243002 (China)
  • 3. School of Energy Science and Engineering, Harbin Institute of Technology, 92, West Dazhi Street, Harbin, 150001 (China)

Description

Highlights: • A mechanistic fouling model considering ash deposition and removal was developed. • An advanced CFD predictive tool for formation of ash deposit was developed. • Experimental validation of the developed model was conducted. • Effects of some important parameters on ash deposition were investigated. Currently fouling is still a major issue for the woodchip-fired boilers, which limits the utilization of the woody type fuel. In this work, a mechanistic fouling model considering both ash deposition and removal mechanisms was developed to model ash deposition. New criterions for the sliding and rolling particle detachment were proposed, and the effect of impacts among multiple particles, particle sizes of the deposited particles and surface roughness on ash deposition were considered. Combining with the Discrete Phase Model (DPM), heat transfer model, and dynamic mesh model, and this newly developed fouling model, the simulation tool was applied to predict the growth of ash deposit on a single tube. Good agreement was obtained between the simulation results and the results from a lab-scale experimental setup. By further investigation, it was found to be necessary to consider the removal process even when the flue gas velocity was as low as 1.93 m/s, and increasing the flue gas velocity significantly reduced ash deposition. The Young's module of ash particles was also identified as an important parameter for ash deposition. The results indicate that the developed mechanistic model is a promising approach for predicting ash deposition behavior in the woodchip-fired grate boilers.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2020.119699

Additional details

Identifiers

DOI
10.1016/j.energy.2020.119699;
PII
S0360544220328061;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
220
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54000802
Subject category
S09: BIOMASS FUELS; S42: ENGINEERING;
Descriptors DEI
ASHES; BOILERS; COMPUTERIZED SIMULATION; DEPOSITION; DEPOSITS; FLUE GAS; GRATINGS; HEAT TRANSFER; PARTICLE SIZE; ROLLING; SURFACES; TUBES
Descriptors DEC
COMBUSTION PRODUCTS; ENERGY TRANSFER; FABRICATION; GASEOUS WASTES; MATERIALS WORKING; RESIDUES; SIMULATION; SIZE; WASTES

Optional Information

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