LIU Pengyu;LI Debo;LIU Yanfeng;CHEN Zhaoli;FENG Yongxin;LIAO Hongkai;

• 1:Department of Power Engineering
• 2:North China Electric Power University
• 3:China Southern Grid Power Technology Co.
• 4:Ltd.

Abstract：

Ash and slagging on the heated area of the boiler unit of coal-fired power plants often cause major safety accidents such as flameout, reduced boiler efficiency, and even shutdown of the boiler due to over-temperature bursting.Therefore, the problem of ash accumulation and slagging has become an urgent problem to be solved in the actual engineering of coal-fired power plants. The author reviewed the actual engineering and numerical simulation research status of ash and slag based on the heated area, and reviewed the mechanism and solution methods, after horizontal comparison and that the research and development of intelligent soot blowing system based on the direction of intelligent monitoring technology in ash accumulation is an important future research direction, and the mathematical model should be proposed to improve the prediction accuracy of semi-convective and semi-radiative heated surface considering the combined effect of convection and radiation.Since the phenomenon of ash accumulation and slagging is influenced by a variety of factors, and most of the current studies focus on one or two methods of investigation, there is a need to develop a comprehensive optimization program that integrates multiple influencing factors in a synergistic manner in the area of slagging.The numerical simulation of ash accumulation and slagging problem can be explored by finite reaction rate/vortex dissipation model to explore the improvement of two or more types of coal, and ANSYS Fluent extension can be developed to improve the accuracy of traditional numerical simulation, so as to further provide technical guidance to the engineering problems of ash and slagging in boiler unit heating area.

Key Words： coal-fired power plant;dust accumulation;slagging;intelligent monitoring;multi-factor synergy;Fluent extensions

Abstract:

Keywords:

Foundation: 国家自然科学基金重点资助项目(51376161)

Authors: LIU Pengyu;LI Debo;LIU Yanfeng;CHEN Zhaoli;FENG Yongxin;LIAO Hongkai;

DOI: 10.13226/j.issn.1006-6772.21052701

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