Numerical prediction on deposition growth and heat transfer characteristics burning high–sodium pulverized coal. (1st February 2022)

• Record Type: Journal Article
• Authors: Miao, Hongchao; Yin, Hongchao; Shang, Yan; Chi, Xiao; Mu, Lin
• Is Part Of: Fuel. Volume 309(2022)
• Publication Date: 2022-02-01
• Subjects: Numerical simulation -- Fly–ash deposition -- Alkali vapor condensation -- Heat transfer characteristics -- Deposition efficiency; Fuel -- Periodicals; Coal -- Periodicals; Coal; Fuel; Periodicals; 662.6
• DOI: 10.1016/j.fuel.2021.122135
• Languages: English
• ISSNs: 0016-2361

Abstract

Highlights: An alkali vapor condensation model based on partial pressure theory was established. Both direct condensation and heterogeneous nucleation was quantitatively evaluated. The comparisons between predicted and experimental results presented a good agreement. Evaluation of effective heat transfer coefficient and deposition surface temperature was included. The reasons for deposition formation and growth were analyzed from the perspective of mechanism. Abstract: In this paper, a transient numerical model, which both considered fly– ash particle deposition and alkali vapor condensation, is proposed to predict the ash deposition propensity on a single heat transfer surface. Four deposition mechanisms are considered comprehensively, named inertial force, thermophoresis force, direct condensation, and heterogeneous nucleation. The condensation behavior caused by high content of AAEM was quantitatively evaluated according to the partial pressure of alkali vapor and the changing saturation pressure. The dynamic mesh technology based on an advisable strategy was performed to reflect the actual shape of fluid–solid interface in deposition process. Furthermore, a resistance network model (RNM) is established to calculate the effective heat transfer coefficient, and the temperature of deposition surface is solved based on the principle of energy conservation, in order to analyze the heat transfer performance of deposition layer. The contribution of each of the four essential mechanisms to tendency of deposition and condensation in different areas is evaluated. The different cases are used to investigate the effects of five typical furnace temperatures and six prime particle sizes on deposition and heat transfer characteristics. The proposed model has been validated and shown to predict deposition rate effectively and heat transfer parameters for ZD coal burned in 300 kW test furnace.