Uncertainty or error occurs as a result of a lack or misuse of knowledge about specific topics or situations. In this review, we recall the differences between error and uncertainty briefly, first, and then their probable sources. Then, their identifications and management in chemical process design, optimization, control, and fault detection and diagnosis are illustrated. Furthermore, because of the large amount of information that can be obtained in modern plants, accurate analysis and evaluation of those pieces of information have undeniable effects on the uncertainty in the system. Moreover, the origins of uncertainty and error in simulation and modeling are also presented. We show that in a multidisciplinary modeling approach, every single step can be a potential source of uncertainty, which can merge into each other and generate unreliable results. In addition, some uncertainty analysis and evaluation methods are briefly presented. Finally, guidelines for future research are proposed based on existing research gaps, which we believe will pave the way to innovative process designs based on more reliable, efficient, and feasible optimum planning.

中文翻译：

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化工过程系统工程的不确定性：严格审查

由于缺少或滥用有关特定主题或情况的知识而导致不确定性或错误。在本文中，我们首先简要回顾误差和不确定性之间的差异，然后再回顾其可能的来源。然后，说明了它们在化学过程设计，优化，控制以及故障检测和诊断中的识别和管理。此外，由于在现代工厂中可以获得大量信息，因此对这些信息进行准确的分析和评估会对系统的不确定性产生不可否认的影响。此外，还介绍了仿真和建模中不确定性和错误的起因。我们表明，在多学科建模方法中，每个步骤都可能是不确定性的潜在来源，可能会相互融合并产生不可靠的结果。此外，简要介绍了一些不确定性分析和评估方法。最后，根据现有的研究差距提出了未来研究的指南，我们相信这些指南将为基于更可靠，高效和可行的最佳计划的创新工艺设计铺平道路。