
Numerical Study on the Influence of Supercritical Heat Transfer Deterioration on the Combustion Process
Author(s) -
Zhenxing Zhao,
Xiaohu Yang,
Y Q Li,
Xingsheng Lao,
Yuzhen Lin,
Y Liu,
Junli Gou,
Mengran Liao,
W Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/701/1/012051
Subject(s) - supercritical fluid , heat transfer , combustion , thermal science , thermodynamics , process (computing) , conjugate , materials science , mechanics , tube (container) , critical heat flux , chemistry , heat transfer coefficient , physics , mathematics , computer science , composite material , mathematical analysis , operating system
The conjugate heat transfer from in-furnace combustion to in–tube supercritical fluid has been numerically investigated in this study. The mathematical model of the conjugate heat transfer process has been constructed. The effects of the abnormal heat transfer phenomena of supercritical fluid in tube and combustion status change in the furnace on the conjugate heat transfer process were analyzed. The results demonstrate that the Renormalization-group (RNG) model has better prediction ability. The Abe-Kondoh-Nagano (AKN) model will have an over-prediction problem for the abnormal heat transfer. The RNG model is also more accurate in simulating the combustion process in the furnace.