期刊
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
卷 20, 期 6, 页码 431-446出版社
ZHEJIANG UNIV
DOI: 10.1631/jzus.A1800648
关键词
Radiative energy flux; Fixed-bed; Oxy-coal combustion; Artificial neural network (ANN); Energy quality-splitting
资金
- China Scholarship Council [201806320236]
- Zhejiang University Academic Award for Outstanding Doctoral Candidates [2018071]
- Ningxia Provincial Key Research and Development Program of China [2018BCE01004]
This paper describes the radiative energy flux characteristics of fixed-bed oxy-coal combustion for the purpose of guiding the quality-splitting conversion of combustion energy. An experiment was performed in a tube furnace at a temperature range of 800-1200 degrees C in O-2/N-2 and O-2/CO2 atmospheres, and the radiative intensity was measured. It was found that an increase in oxygen concentration and temperature could increase the radiative intensity more than 1.5 to 2 fold during combustion, and the radiative energy flux was higher for semi-coke than coal by about 16%-27%. The radiative energy results could be described by a semi-empirical model and an artificial neural network (ANN) model. The results showed that the errors of the ANN were less than 0.01%, and demonstrated the superiority of the ANN. This study provides guidance for subsequent research on quality-splitting conversion of combustion energy.
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