Dynamic Simulation of A Heterogeneous Azeotropic Distillation Column for Dehydration of Acetic Acid
碩士 === 東海大學 === 化學工程學系 === 89 === Abstract Terephthalic acid (TPA) is on of the main chemical products in Taiwan, and it needs about 8.4 million tons per year of reused acetic acid as solvent for TPA processes. The operation of such reused acetic acid is actually a dehydration...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2001
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| Online Access: | http://ndltd.ncl.edu.tw/handle/02320067532450534873 |
| Summary: | 碩士 === 東海大學 === 化學工程學系 === 89 === Abstract
Terephthalic acid (TPA) is on of the main chemical products in Taiwan, and it needs about 8.4 million tons per year of reused acetic acid as solvent for TPA processes. The operation of such reused acetic acid is actually a dehydration process by distillation. The mixture of acetic acid and water is considered to be a close-boiling point distillation. Industrial processes normally add another chemicals as entrainer for energy conservation. A steady-state simulation via Aspen Plus software based on energy consumption for the dehydration process of acetic acid using different entrainers is implemented in this study. Simulation results show that using isobutyl acetate as an entrainer can save larger energy than using other entrainers in this system. In addition, a rigorous dynamic model for the dehydration process of acetic acid based on the modular approach using artificial neural networks (ANN) as phase identification has been developed. Dynamic simulation has demonstrated that phase identification by the developed ANN model is in general consistent with the result of Aspen Plus for this multiphase and multicomponent process.
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