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A Time-Series and Multi-Factor-Based Prediction Model for Ash Deposition and Slagging on Boiler Heating Surfaces
Power Generation Technology Vol. 47, Issue 4, Pages: 886-896(2026)
Power Generation and Environmental Protection|Updated：2026-09-01
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A Time-Series and Multi-Factor-Based Prediction Model for Ash Deposition and Slagging on Boiler Heating Surfaces
- “New progress has been made in monitoring ash coking on the heating surface of the low-temperature reheater in a 660 MW ultra supercritical coal-fired unit boiler. The research team has established a multi factor ash coking prediction model based on BP neural network to provide data support for achieving intelligent soot blowing in boilers.”
DOI：10.12096/j.2096-4528.pgt.260419
Revised：2026-01-12
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Related Author
HU Zhangmao
WANG Shuqi
TANG Mingzhu
CHEN Donglin
ZENG Wengen
YANG Zhan
YAN Youyang
YANG Yijiang
Related Institution
School of Energy and Power Engineering, Changsha University of Science and Technology
Clean Combustion and Flue Gas Purification Key Laboratory of Sichuan Province
DongFang Boiler Co., Ltd. of Dongfang Electric Group
State Key Laboratory of Multiphase Flow in Power Engineering (Xi’an Jiaotong University)
Guoneng Jinjie Energy Co., Ltd.
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