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Dynamic optimisation of batch distillation with a middle vessel using neural network techniques

A rigorous model (validated against experimental pilot plant data) of a Middle Vessel Batch Distillation Column (MVC) is used to generate a set of data, which is then used to develop a neural network (NN) based model of the MVC column. A very good match between the "plant" data and the dat...

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Main Authors:	Greaves, M.A., Mujtaba, I.M., Barolo, M., Trotta, A., Hussain, Mohd Azlan
Format:	Article
Published:	Elsevier 2002
Subjects:	TA Engineering (General). Civil engineering (General) TP Chemical technology
Online Access:	http://eprints.um.edu.my/7074/ https://doi.org/10.1016/S1570-7946(02)80112-2
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id	my.um.eprints.7074
record_format	eprints
spelling	my.um.eprints.70742021-02-10T03:40:44Z http://eprints.um.edu.my/7074/ Dynamic optimisation of batch distillation with a middle vessel using neural network techniques Greaves, M.A. Mujtaba, I.M. Barolo, M. Trotta, A. Hussain, Mohd Azlan TA Engineering (General). Civil engineering (General) TP Chemical technology A rigorous model (validated against experimental pilot plant data) of a Middle Vessel Batch Distillation Column (MVC) is used to generate a set of data, which is then used to develop a neural network (NN) based model of the MVC column. A very good match between the "plant" data and the data generated by the NN based model is eventually achieved. A dynamic optimisation problem incorporating the NN based model is then formulated to maximise the total amount of specified products while optimising the reflux and reboil ratios. The problem is solved using an efficient algorithm at the expense of few CPU seconds. Elsevier 2002 Article PeerReviewed Greaves, M.A. and Mujtaba, I.M. and Barolo, M. and Trotta, A. and Hussain, Mohd Azlan (2002) Dynamic optimisation of batch distillation with a middle vessel using neural network techniques. Computer Aided Chemical Engineering, 10. pp. 505-510. ISSN 1570-7946 https://doi.org/10.1016/S1570-7946(02)80112-2 doi:10.1016/S1570-7946(02)80112-2
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	TA Engineering (General). Civil engineering (General) TP Chemical technology
spellingShingle	TA Engineering (General). Civil engineering (General) TP Chemical technology Greaves, M.A. Mujtaba, I.M. Barolo, M. Trotta, A. Hussain, Mohd Azlan Dynamic optimisation of batch distillation with a middle vessel using neural network techniques
description	A rigorous model (validated against experimental pilot plant data) of a Middle Vessel Batch Distillation Column (MVC) is used to generate a set of data, which is then used to develop a neural network (NN) based model of the MVC column. A very good match between the "plant" data and the data generated by the NN based model is eventually achieved. A dynamic optimisation problem incorporating the NN based model is then formulated to maximise the total amount of specified products while optimising the reflux and reboil ratios. The problem is solved using an efficient algorithm at the expense of few CPU seconds.
format	Article
author	Greaves, M.A. Mujtaba, I.M. Barolo, M. Trotta, A. Hussain, Mohd Azlan
author_facet	Greaves, M.A. Mujtaba, I.M. Barolo, M. Trotta, A. Hussain, Mohd Azlan
author_sort	Greaves, M.A.
title	Dynamic optimisation of batch distillation with a middle vessel using neural network techniques
title_short	Dynamic optimisation of batch distillation with a middle vessel using neural network techniques
title_full	Dynamic optimisation of batch distillation with a middle vessel using neural network techniques
title_fullStr	Dynamic optimisation of batch distillation with a middle vessel using neural network techniques
title_full_unstemmed	Dynamic optimisation of batch distillation with a middle vessel using neural network techniques
title_sort	dynamic optimisation of batch distillation with a middle vessel using neural network techniques
publisher	Elsevier
publishDate	2002
url	http://eprints.um.edu.my/7074/ https://doi.org/10.1016/S1570-7946(02)80112-2
_version_	1691733422849916928
score	13.211869

Dynamic optimisation of batch distillation with a middle vessel using neural network techniques

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