Predicting gaseous emissions from small-scale combustion of agricultural biomass fuels

被引:32
作者
Fournel, S. [1 ,2 ]
Marcos, B. [1 ]
Godbout, S. [2 ]
Heitz, M. [1 ]
机构
[1] Univ Sherbrooke, Dept Chem & Biotechnol Engn, Sherbrooke, PQ J1K 2R1, Canada
[2] Res & Dev Inst Agr Environm, Quebec City, PQ G1P 3W8, Canada
关键词
Agricultural biomass combustion; Gaseous emissions; Prediction model; Gibbs free energy; GIBBS FREE-ENERGY; THERMODYNAMIC-EQUILIBRIUM MODEL; WASTE GASIFIER; GASIFICATION; PERFORMANCE; BED; MINIMIZATION; OPTIMIZATION;
D O I
10.1016/j.biortech.2014.11.100
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
A prediction model of gaseous emissions (CO, CO2, NOx, SO2 and HCl) from small-scale combustion of agricultural biomass fuels was developed in order to rapidly assess their potential to be burned in accordance to current environmental threshold values. The model was established based on calculation of thermodynamic equilibrium of reactive multicomponent systems using Gibbs free energy minimization. Since this method has been widely used to estimate the composition of the syngas from wood gasification, the model was first validated by comparing its prediction results with those of similar models from the literature. The model was then used to evaluate the main gas emissions from the combustion of four dedicated energy crops (short-rotation willow, reed canary grass, switchgrass and miscanthus) previously burned in a 29-kW boiler. The prediction values revealed good agreement with the experimental results. The model was particularly effective in estimating the influence of harvest season on SO2 emissions. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:165 / 172
页数:8
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