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Robust optimization of the efficient syngas fractions in entrained flow coal gasification using Taguchi method and response surface methodology

机译:使用Taguchi方法和响应面方法对夹带流煤气化中有效合成气馏分的稳健优化

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The robustness of the efficient syngas (ES, H-2 + CO) fraction in an entrained flow coal gasification is very important to the stable operations of some downstream applications. This study presents the details about the robust optimization of the ES fraction in a typical entrained flow coal gasification, Shell coal gasification process (SCGP). In this study, Taguchi method combined with response surface methodology (RSM) was used. A series of numerical experiments in Aspen plus were carried out according to the operations of a demonstration SCGP gasifier. After systematic statistical analysis, the ES fraction was robust optimized using Nelder Mead algorithm. The results show that integrating Taguchi and RSM method provides an effective solution to the robust optimization of the ES fraction. Oxygen to coal ratio (O/C) is the "robust factor" which significantly affects not only the ES fraction but also the fluctuation in it. The ES fraction increases at first and decreases later with increasing O/C, but the fluctuation in it is just the opposite. Pressure (P) is the "regulation factor" which has no effects on the ES fraction but can change the fluctuation. Thus adjusting it to a moderate level is helpful for further suppressing the fluctuation. Stream to coal ratio (S/C) is the "secondary factor" which has slightly effect on the ES fraction and the fluctuation. The optimal robust solutions of the control parameters, P, S/C and O/C, are 3.69 MPa, 0.05 and 0.61 kg/kg respectively. Under this condition, the fraction of ES is about 98.42% with 0.18% fluctuation, which presents good robustness. (C) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:气流床气化中有效合成气(ES,H-2 + CO)馏分的稳健性对于某些下游应用的稳定运行非常重要。这项研究提供了有关在典型的夹带流煤气化,壳牌煤气化过程(SCGP)中ES馏分的鲁棒优化的详细信息。在这项研究中,使用Taguchi方法结合响应面方法(RSM)。根据示范SCGP气化炉的操作,在Aspen plus中进行了一系列数值实验。经过系统的统计分析,ES分数使用Nelder Mead算法进行了稳健的优化。结果表明,Taguchi和RSM方法的集成为ES分数的鲁棒优化提供了有效的解决方案。氧煤比(O / C)是“稳健因素”,不仅会显着影响ES分数,而且会显着影响其波动。 ES分数先随O / C的增加而增加,然后减少,但其波动恰恰相反。压力(P)是“调节因子”,对ES分数没有影响,但可以改变波动。因此,将其调节至适度水平有助于进一步抑制波动。流煤比(S / C)是“次要因素”,对ES分数和波动有轻微影响。控制参数P,S / C和O / C的最佳鲁棒解决方案分别为3.69 MPa,0.05和0.61 kg / kg。在此条件下,ES的比例约为98.42%,波动为0.18%,具有良好的鲁棒性。 (C)2017氢能出版物有限公司。由Elsevier Ltd.出版。保留所有权利。

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