dc.contributor.author |
Viljoen, Johannes Henning
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|
dc.contributor.author |
Muller, Cornelius Jacobus
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|
dc.contributor.author |
Craig, Ian Keith
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dc.date.accessioned |
2018-05-24T11:10:51Z |
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dc.date.issued |
2018-08 |
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dc.description.abstract |
In the process industries, cooling capacity is an important enabler for the facility to manufacture on specification product. The cooling water network is an important part of the over-all cooling system of the facility. In this paper a cooling water circuit consisting of 3 cooling towers in parallel, 2 cooling water pumps in parallel, and 11 heat exchangers in parallel, is modelled. The model developed is based on first principles and captures the dynamic, non-linear nature of the plant. The modelled plant is further complicated by continuous, as well as Boolean process variables, giving the model a hybrid nature. Energy consumption is included in the model as it is a very important parameter for plant operation. The model is fitted to real industry data by using a particle swarm optimisation approach. The model is suitable to be used for optimisation and control purposes. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.embargo |
2019-08-01 |
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dc.description.librarian |
hj2018 |
en_ZA |
dc.description.sponsorship |
The National Research Foundation of South Africa (Grant Number 90533). |
en_ZA |
dc.description.uri |
http://www.elsevier.com/locate/jprocont |
en_ZA |
dc.identifier.citation |
Viljoen, J.H., Muller, C.J. & Craig, I.K. 2018, 'Dynamic modelling of induced draft cooling towers with parallel heat exchangers, pumps and cooling water network', Journal of Process Control, vol. 68, pp. 34-51. |
en_ZA |
dc.identifier.issn |
0959-1524 (print) |
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dc.identifier.issn |
1873-2771 (online) |
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dc.identifier.other |
10.1016/j.jprocont.2018.04.005 |
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dc.identifier.uri |
http://hdl.handle.net/2263/65007 |
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dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2018 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Journal of Process Control. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Journal of Process Control, vol. 68, pp. 34-51, 2018. doi : 10.1016/j.jprocont.2018.04.005. |
en_ZA |
dc.subject |
Hybrid systems |
en_ZA |
dc.subject |
Optimisation |
en_ZA |
dc.subject |
Cooling water network |
en_ZA |
dc.subject |
Cooling tower |
en_ZA |
dc.subject |
Dynamic modelling |
en_ZA |
dc.subject |
Cooling system |
en_ZA |
dc.subject |
Dynamic models |
en_ZA |
dc.subject |
Energy utilization |
en_ZA |
dc.subject |
Particle swarm optimization (PSO) |
en_ZA |
dc.subject |
Boolean process |
en_ZA |
dc.subject |
Capacity |
en_ZA |
dc.subject |
Optimisation |
en_ZA |
dc.subject |
Plant operations |
en_ZA |
dc.subject |
Process industry |
en_ZA |
dc.subject |
Cooling water |
en_ZA |
dc.title |
Dynamic modelling of induced draft cooling towers with parallel heat exchangers, pumps and cooling water network |
en_ZA |
dc.type |
Postprint Article |
en_ZA |