CHEMICAL PERCOLATION MODEL FOR DEVOLATILIZATION .2. TEMPERATURE AND HEATING RATE EFFECTS ON PRODUCT YIELDS
CHEMICAL PERCOLATION MODEL FOR DEVOLATILIZATION .2. TEMPERATURE AND HEATING RATE EFFECTS ON PRODUCT YIELDS
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DOI：
10.1021/ef00019a010
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发表时间：
1990-01-01
期刊：
影响因子：
5.3
通讯作者：
GRANT, DM
中科院分区：
文献类型：
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作者：
FLETCHER, TH;KERSTEIN, AR;GRANT, DM
化学渗滤脱挥发分（CPD）模型是根据煤的化学结构建立的。逾渗晶格统计描述的不稳定的键在无限的煤的晶格分裂的有限焦油团簇的产生。本文用该模型描述了升温速率和温度对煤中焦油和瓦斯析出的影响。碳形成和侧链形成之间的竞争的净速率的系数生成从在五个不同的加热速率进行加热屏幕数据。该模型也比较好，在1000 K/s和不同的保持时间，在最终温度下获得的加热屏幕数据，以及从旋流反应器中获得的数据在较高的加热速率（104 K/s），其中颗粒温度已被测量。结果表明，CPD模型的预测结果与公布的数据在很宽的范围内的煤和颗粒加热速率。
The chemical percolation devolatilization (CPD) model previously developed to describe the de-volatilization behavior of rapidly heated coal was based on the chemical structure of the parent coal. Percolation lattice statistics are employed to describe generation of finite tar clusters as labile bonds are cleaved in the infinite coal lattice. The model is used here to describe effects of heatingrate and temperature on tar and gas release from coal. Coefficients for the net rate of competition between char formation and side-chain formation are generated from heated screen data performed at five different heating rates. The model also compares well with heated screen data obtained at 1000 K/s and different holdtimes at the final temperature as well as with data from entrained-flow reactors obtained at higher heating rates (104 K/s) where particle temperatures have been measured. Results indicate that the CPD model predictions yield good agreement with published data for a wide range of coals and particle heating rates.