Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion
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Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion
Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion
清洁能源(英文)2025年第2期
作者机构:
1. Institute of Combustion and Thermal System, School of Mechanical, Electronic and Cuontrol Engineering, Beijing Jiaotong University
2. College of Mining Engineering, Taiyuan University of Technology
作者简介:
基金信息:
This article received financial supports from the State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining & Technology, Xuzhou (SKLGDUEK2216) and National Natural Science Foundation of China (12102456).
Linbo Yan, Yang Liu, Kexin Li, 等. Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion[J]. 清洁能源(英文), 2025,(2).
Linbo Yan, Yang Liu, Kexin Li, Cong Geng, Boshu He, Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion, Clean Energy, Volume 9, Issue 2, April 2025, Pages 111–123, https://doi.org/10.1093/ce/zkae101
Linbo Yan, Yang Liu, Kexin Li, 等. Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion[J]. 清洁能源(英文), 2025,(2). DOI: 10.1093/ce/zkae101.
Linbo Yan, Yang Liu, Kexin Li, Cong Geng, Boshu He, Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion, Clean Energy, Volume 9, Issue 2, April 2025, Pages 111–123, https://doi.org/10.1093/ce/zkae101DOI:
Insights into radiation property prediction for numerical simulation of pulverized coal/biomass oxyfuel combustion
摘要
The radiation property of flue gas in pulverized coal/biomass oxyfuel combustion distinguishes obviously from that in air combustion. Moreover
the particle emissivity and scattering factor can vary during its thermal conversion. Both phenomena challenge the accurate prediction of radiative heat transfer in coal/biomass oxyfuel combustion. As one solution to surmount this challenge
a new efficient exponential wide band model + particle radiation property model is proposed in this work. For validation
the proposed model is compared with other parallel models
and their predictions are compared against experimental data. It is found that the efficient exponential wide band model + particle radiation property model can give reliable predictions at different operating conditions. The maximum relative errors between the prediction and the experimental surface incident radiation are within 7% at the burner outlet and 2.5% at the peak point. Moreover
the iteration time consumptions are 0.55 and 0.87 s for the 0.5 MW case
and 35.45 and 35.66 s for the 600 MW case with the parallel radiation model and the proposed model. After validation
the feasibility and characteristics of the coal/biomass oxyfuel co-combustion process in a 600 MW tangentially fired boiler are predicted. It is found that the boiler can run stably and the CO2 mass fraction in the discharged flue gas can be around 90%.
Abstract
The radiation property of flue gas in pulverized coal/biomass oxyfuel combustion distinguishes obviously from that in air combustion. Moreover
the particle emissivity and scattering factor can vary during its thermal conversion. Both phenomena challenge the accurate prediction of radiative heat transfer in coal/biomass oxyfuel combustion. As one solution to surmount this challenge
a new efficient exponential wide band model + particle radiation property model is proposed in this work. For validation
the proposed model is compared with other parallel models
and their predictions are compared against experimental data. It is found that the efficient exponential wide band model + particle radiation property model can give reliable predictions at different operating conditions. The maximum relative errors between the prediction and the experimental surface incident radiation are within 7% at the burner outlet and 2.5% at the peak point. Moreover
the iteration time consumptions are 0.55 and 0.87 s for the 0.5 MW case
and 35.45 and 35.66 s for the 600 MW case with the parallel radiation model and the proposed model. After validation
the feasibility and characteristics of the coal/biomass oxyfuel co-combustion process in a 600 MW tangentially fired boiler are predicted. It is found that the boiler can run stably and the CO2 mass fraction in the discharged flue gas can be around 90%.