Journal
ENERGY
Volume 264, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.126279
Keywords
Firebrick; Gasification; Degradation state recognition; Residual life prediction; Hidden Semi-Markov Model
Categories
Ask authors/readers for more resources
This paper focuses on the recognition of degradation of firebricks in a gasifier combustor and analysis of their residual life, which is important for safe operation. The results show that degradation is faster in the jet area compared to the arch crown and pipe area. The transformation of degradation state takes longer in the early and middle stages of firebrick life. The residual life of firebricks in the jet area is shorter than in the arch crown and pipe area. The HSMM method provides new solutions for firebrick maintenance strategies.
The firebricks in gasifier combustion chamber are the vital parts for gasification. They are gradually degraded with service time due to the harsh conditions. This paper focuses on the recognition of degradation of firebricks and analysis of their residual life, which are of great significance for ensuring the safe operation of a gasifier. In this paper, the Hidden Semi-Markov Model (HSMM) was employed and the degradation recognition and residual life analysis of the firebricks in a gasifier combustor of a company under actual working conditions were carried out. The results show that the degradations of firebricks in the jet area of cylinder part are faster than that in the arch crown and the pipe area. In the early and middle stages of firebrick life, the transformation of its degra-dation state takes longer time than in the later stage of firebrick life. And the residual life of each layer firebrick is short in the later stage of the firebrick life. The residual life of firebricks in the jet area of cylinder part is shorter than that in the jet area of arch crown and pipe area. HSMM method is a suitable method that provides new solutions for firebrick maintenance strategies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available