Keywords

biomass, coal, ash deposit model, stickiness, melt fraction, kinetic energy

Abstract

This work details a model for evaluating the relative ash deposition propensity of various solid fuels without the complicated spatial considerations included in CFD modeling. Four deposition mechanisms are included, namely: inertial impaction, thermophoresis, condensation, and eddy impaction. This model has been validated and shown to effectively predict ash deposit rates for a wide range of solid fuels including coal, biomass, and their blends, burned in a 100 kW rated downflow combustor. Specifically, this work presents and compares two separate models for the sticking efficiency of impacting ash particles on a coupon surface: the melt fraction stickiness model (MFSM), which is developed here and includes a novel approach to determine sticking efficiency, and the kinetic energy stickiness model (KESM), an existing model used for comparison. To apply the MFSM model, the equilibrium composition of vapor species are calculated by thermodynamic modeling using FactSage. By comparing the root-mean-square-errors of the MFSM and KESM over the wide variety of fuels, it is shown that the MFSM is more accurate than the KESM in predicting the ash deposit rate. This shows that NaCl and KCl are expected to be the main alkali vapor species in the flue gas, for the fuels evaluated.

Original Publication Citation

Seyedhassan Fakourian, Zachary McAllister, Andrew Fry, Yueming Wang, Xiaolong Li, Jost O.L. Wendt, Jinze Dai, Modeling ash deposit growth rates for a wide range of solid fuels in a 100 kW combustor, Fuel Processing Technology, Volume 217, 2021, 106777, ISSN 0378-3820, https://doi.org/10.1016/j.fuproc.2021.106777.

Document Type

Peer-Reviewed Article

Publication Date

2021-03-10

Publisher

Fuel Processing Technology

Language

English

College

Ira A. Fulton College of Engineering

Department

Chemical Engineering

University Standing at Time of Publication

Full Professor

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