Optimization of the Air Distribution in a Biomass Grate-Fired Furnace

Qingjia Wang, Man Zhang, Fan Xiao, Hairui Wang, Yan Jin, Nan Hu () and Hairui Yang ()
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Qingjia Wang: School of Energy and Power Engineering, Changchun Institute of Technology, Changchun 130012, China
Man Zhang: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
Fan Xiao: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
Hairui Wang: School of Energy and Power Engineering, Changchun Institute of Technology, Changchun 130012, China
Yan Jin: College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Nan Hu: School of Energy and Power Engineering, Changchun Institute of Technology, Changchun 130012, China
Hairui Yang: State Key Laboratory of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China

Energies, 2023, vol. 16, issue 22, 1-13

Abstract: This study utilized a combination of FLIC(1D3.2C) and FLUENT(2021R2) software to optimize the primary air distribution along the grate and the performance of a straw briquette combustion furnace of a 7 MW unit in China used to produce hot air for drying grain. Three air distribution modes, namely front-enhanced, uniform, and rear-enhanced modes, were analyzed to determine their effect on the flue gas components above the grate, the temperature field in the furnace, and the nitrogen oxide concentration at the furnace outlet. The results of the calculations showed that the NO x emissions for the front-enhanced, uniform, and rear-enhanced modes were 133.5 mg/Nm 3 , 104.4 mg/Nm 3 , and 76.6 mg/Nm 3 , respectively. It was found that the rear-enhanced mode can expand the biomass drying, devolatilization, and combustion zone, thus improving the furnace combustion performance and decreasing NO x emissions. These findings can provide useful guidance for optimizing biomass chain-grate-firing furnaces.

Keywords: biomass; hot-air furnace; grate firing; numerical simulation; NO x emission (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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