Sensitivity Analysis of Entrained Flow Coal Gasification Process Through Fourier Amplitude Sensitivity Test (FAST) and Sobol Techniques

2018 International Conference on Applied and Engineering Mathematics (ICAEM) Pub Date : 2018-09-01 DOI:10.1109/ICAEM.2018.8536285

I. Ahmad, Ahsan Ayub, M. Rashid, F. Ansari, Nisar Mohammad

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引用次数: 3

Abstract

Entrained flow gasification is one of the most used method for converting coal into useable form of energy. Quest for higher conversion efficiency and reduction in environmental impact has been a driving force for realizing stable and efficient operation of entrained flow coal gasification. However, inherent uncertainty in process variables has been a challenge in efficient process design and operation. In this study, the effect of process uncertainty on conversion effieciency and environmental impact of the process model is studied. In this regard, data is generated through interfacing of MATLAB®-Excel® -Aspen® from an Aspen PLUS® based model of the entrained flow coal gasification. The data is used to develop a data-driven model of the process. Then sensitivity analysis methods, i.e., Sobol and Fourier Amplitude sensitivity test, are used to analyse the effect of each individual process variables on the target variables, conversion efficiency and environmental impact.

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利用傅立叶振幅灵敏度试验(FAST)和Sobol技术分析夹带流煤气化过程的敏感性

夹带流气化是将煤转化为可利用能源的最常用方法之一。追求更高的转化效率和减少对环境的影响是实现夹带流煤气化稳定高效运行的动力。然而，工艺变量固有的不确定性对高效工艺设计和运行构成了挑战。本文研究了过程不确定性对过程模型转换效率和环境影响的影响。在这方面，数据是通过MATLAB®-Excel®-Aspen®接口从基于Aspen PLUS®的夹带流煤气化模型生成的。数据用于开发流程的数据驱动模型。然后利用Sobol和傅立叶幅值敏感性检验等敏感性分析方法，分析各个工艺变量对目标变量、转换效率和环境影响的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 International Conference on Applied and Engineering Mathematics (ICAEM)

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