Modeling of ash formation and deposition processes in coal and biomass fired boilers: A comprehensive review

Yongtie Cai, Kunlin Tay, Zhimin Zheng, Wenming Yang, Hui Wang, Guang Zeng, Zhiwang Li, Siah Keng Boon and Prabakaran Subbaiah

Applied Energy, 2018, vol. 230, issue C, 1447-1544

Abstract: This paper presents a comprehensive review on the development of the modelling of ash deposition with particle combustion, sticking, rebound and removal behaviors. The modelling of ash deposit morphomology is also included. Ash deposition in coal and biomass fired boilers will induce many ash-related issues (such as slagging, fouling and corrosion) which will reduce the boiler efficiency and capacity. Some traditional prediction methods have been proposed to evaluate ash deposition. However, these methods are based on chemical compositions of ash deposits and the operating temperatures in boilers, which are unable to fully predict the complex ash deposition process. Great efforts have been made to develop mechanistic models to predict ash deposition processes in nature. The behavior of ash formation and deposition in the boilers plays a key role in the design of boilers and the selection of fuels. The ash formation process is primarily due to the fragmentation and coalescence of mineral matters in fuels and only a small portion of ash is formed. When ash particles impact the heat transfer surfaces, only a few particles will deposit on these surfaces and several ash deposition mechanisms have been identified to predict their behaviors, such as inertial impaction (for large particles), thermophoresis (for fine particles) and condensation (for vapors). The ash deposition mechanisms used in the experimental, numerical and mechanistic studies coupled with the fuels and investigated systems are summarized in this paper.

Keywords: Ash formation; Deposition mechanisms; Combustion codes; Particle rebound; Particle removal; Deposit morphology (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (26)

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DOI: 10.1016/j.apenergy.2018.08.084

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