洁净煤技术

2014, v.20;No.90(02) 60-63+116

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基于响应面法的煤气化工艺优化
Optimization of coal gasification process based on response surface method

杨洋;郭芸菲;邓骥;但小冬;李林峰;
YANG Yang;GUO Yunfei;DENG Ji;DAN Xiaodong;LI Linfeng;College of Chemistry and Chemical Engineering,Southwest Petroleum University;College of Resources and Environment,Southwest Petroleum University;

摘要(Abstract):

基于响应面法可在考虑因素间交互作用的基础上对煤气化工艺进行优化,利用Aspen Plus建立了Shell气化炉模型,采用Box-Hehnken设计进行煤气化仿真试验,构建了目标值与工艺参数间的响应曲面,在考虑工艺参数交互作用的基础上对工艺进行多目标优化。结果表明:氧煤比与蒸汽煤比的交互作用及氧煤比与压力的交互作用的影响能力大于蒸汽煤比与压力的交互作用,且氧煤比对参数交互作用的影响能力有较大贡献。经试验验证确定煤气化性能指标多目标优化方案为:氧煤比0.784 kg/kg,蒸汽煤比0.0786 kg/kg,压力2.76 MPa。方案下的计算结果为:煤气有效成分97.75%,冷煤气效率84.25%,煤气产率1.92 m3/kg;验证优化方案下的试验结果为:煤气有效成分98.04%,冷煤气效率85.20%,煤气产率1.93 m3/kg,与计算结果的误差较小,说明响应面模型计算精度较高,优化方案合理。
Based on the response surface method( RSM),optimize the coal gasification considering the interaction between the factors of process. Establish Shell coal gasifier model with Aspen Plus. Using Box-Behnken design for coal gasification simulation and establish RSM model with the test data. Based on the performance of interaction of technological parameters,optimize the process. The results show that the interaction of oxygen-coal ratio and the steam-coal ratio and interaction of oxygen-coal ratio and presssue are more influential than the interaction of steam-coal ratio and pressure. Oxygen-coal ratio affect the interaction more than other factors. Considering the multi-objective optimization plan with verification,When the oxygen-coal ratio is 0. 784 kg / kg,the team-coal ratio is 0. 0786 kg / kg,the perssure is 2. 76 MPa,the performance is the best. The calculation of effective components of gas,cold gas efficiency,gas yield is 97. 75percent,84. 25 percent and 1. 92 m3/ kg. The test results is 98. 04 percent,85. 20 percent,1. 93 m3/ kg respectively. The difference between calculation results and experimental results is small,so the optimization is reasonable.

关键词(KeyWords): 响应面法;Box-Hehnken;煤气化;优化;氧煤比;蒸汽煤比;压力
response surface method;Box-Hehnken;coal gasification;optimization;oxygen-coal ratio;team-coal ratio;pressure

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基金项目(Foundation): 四川省教育厅重点项目(12ZA191)

作者(Authors): 杨洋;郭芸菲;邓骥;但小冬;李林峰;
YANG Yang;GUO Yunfei;DENG Ji;DAN Xiaodong;LI Linfeng;College of Chemistry and Chemical Engineering,Southwest Petroleum University;College of Resources and Environment,Southwest Petroleum University;

DOI: 10.13226/j.issn.1006-6772.2014.02.016

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