木屑、稻壳和煤混合型煤压缩成型过程建模与工况优化

基于已有文献实验数据，建立了木屑和煤、稻壳和煤混合压缩成型过程LS-SVM模型。结果表明，两种模型预测值与实验值相对误差最大值分别为3.46%、5.83%，两类型煤混合压缩成型过程具有较好的模拟效果。在此基础上设计拟合了两类型煤混合压缩成型过程多目标优化目标函数，寻优分别得到木屑、稻壳与煤混合型煤压缩成型过程Pareto最优解集。依据生物质固体成型燃料标准和生物质型煤综合性能CV值，进一步从Pareto最优解集中选出了对木屑和煤、稻壳和煤混合型煤不同指标要求下的压缩成型工艺过程运行工况的优化目标值。

Modeling and Engineering Optimization of Compression Process for Biomass Compound Coal Mixed with Sawdust, Rice Hull and Coal

The compression process LS-SVM model of biomass compound coal mixed with sawdust, coal and rice hull was established according to the published experimental data. The test result showed that the maximum relative error of predicted and experimental values of two models was 3.46% and 5.83%, which proved the efficiency of model. On this base, the multi-objective optimization objective function of compression process was designed and fitted, by which the Pareto optimal solutions were gained in a single run. According to the standard target of solid biomass fuels and CV value which represented the comprehensive performance of biomass compound coal, the efficient solutions that are suitable for compression process were selected from the Pareto optimal solutions under different indicators for compound coal mixed with sawdust, coal and rice hull.