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乙烷氣提塔濃度預測模式開發
Thesis

乙烷氣提塔濃度預測模式開發

郭紫榛
Masters, 國立清華大學, 化學工程學系
2014

Abstract

軟測量 氣提塔 部分最小平方法 移動視窗適應模型 HYSYS Soft sensor Stripper Partial Least Squares Moving Window Adaptive Model
In the refining process, Distillation columns are frequently used in chemical plants to separate one or several feed mixtures of two or more components. This study addresses the optimal operation in C2 stripper column. In reality, however, the feeds may vary in their flow rates, temperature, or compositions, which results in the process operating at non-optimal values. Therefore, we use Aspen HYSYS simulation software to builds up the plant model and get simulated data. In addition, using Aspen HYSYS simulation software presents the situation of the de-ethanizer. However, the challenges of developing the soft sensor are: (1) the compositions of the process input are highly dependent on the types of crude oil, which is varied from the front process. (2) the time delay of inspecting the ethane composition is around 1-2 hours. Therefore, the proposed approach for solving these challengers is using the PLS with moving window adaptive model.

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