Duanmu, Fanyi;
Chia, Dian Ning;
Sorensen, Eva;
(2022)
A shortcut design method for complex distillation structures.
Chemical Engineering Research and Design
, 180
pp. 346-368.
10.1016/j.cherd.2022.02.026.
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Abstract
Distillation is by far the most common fluid separation method in the chemical industry, and its design is routinely conducted using commercial design software, often based on initial shortcut calculations. Whilst simulation and optimisation of simple distillation systems are fairly straightforward, the design of more complex structures, such as dividing wall columns (DWC), can prove problematic due to failure to initialise or to converge, and no adequate shortcut methods exists for these structures. In this work, a novel shortcut method is presented which can solve the shortcut design problem simultaneously also for complex structures using a simple optimisation procedure without the need for iterative manual calculations. The method is illustrated by four case studies. The shortcut design variables obtained using this method can be used to initialise rigorous simulation or optimisation problems, thus greatly reducing the risk of initialisation failure or convergence issues, also for very complex structures.
Type: | Article |
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Title: | A shortcut design method for complex distillation structures |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.cherd.2022.02.026 |
Publisher version: | https://doi.org/10.1016/j.cherd.2022.02.026 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Distillation, Design, Shortcut method, Optimisation, Dividing Wall Column |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10145010 |




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