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SUPERCRITICAL WATER GASIFICATION OF SEWAGE SLUDGE

机译:污水污泥的超临界水气化

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摘要

A computer model which estimates product compositions at equilibrium reaction has been developed. The model applied Gibbs free energy minimization technique and a predictor algorithm (also called RAND algorithm). Peng- Robinson equation of state (EoS) was employed in order to determine fugacity coefficients of species considered in the model. The developed model was tested against various reported experimental data of glucose, pyrocatechol and cornstarch in supercritical water gasification (SCWG) process. There were good agreements with experimental measurements reported in the literature. The developed computer model was used to estimate the equilibrium product compositions for SCWG of sewage sludge. The model predicts that a high hydrogen production can be achieved when a high temperature (750℃) is applied to high moisture content (99 wt% w.b.) sewage sludge at 25 Mpa.
机译:已经开发了一种计算机模型,该计算机模型估计了平衡反应时的产物组成。该模型应用了吉布斯自由能最小化技术和预测器算法(也称为RAND算法)。使用Peng-Robinson状态方程(EoS)来确定模型中考虑的物种的逸散系数。在超临界水气化(SCWG)过程中,针对各种报道的葡萄糖,邻苯二酚和玉米淀粉的实验数据对开发的模型进行了测试。与文献报道的实验测量结果吻合良好。所开发的计算机模型用于估算污泥SCWG的平衡产物组成。该模型预测,将高温(750℃)应用于25 Mpa的高含水量(99 wt%w.b.)污水污泥可实现高产氢量。

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