Dynamic modelling and operational optimisation of natural draft cooling towers
Yes === Natural draft cooling towers are subjected to dynamic air temperature and humidity ratio of air throughout the day. Their performances based on steady state model is restricted to single air temperature and humidity ratio of air values and thus are not accurate. In this work, a dynamic model...
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ndltd-BRADFORD-oai-bradscholars.brad.ac.uk-10454-166462019-10-30T03:07:27Z Dynamic modelling and operational optimisation of natural draft cooling towers Dhorat, A. Al-Obaidi, M.A. Mujtaba, Iqbal M. Cooling towers Numerical modelling Dynamic modelling SQP optimisation Cycles of concentration Yes Natural draft cooling towers are subjected to dynamic air temperature and humidity ratio of air throughout the day. Their performances based on steady state model is restricted to single air temperature and humidity ratio of air values and thus are not accurate. In this work, a dynamic model for a natural draft cooling tower is developed. Air temperature and relative humidity data for Johannesburg were acquired to develop dynamic correlations for these two parameters and are embedded in the process model together with the dynamic model of the collection basin of the tower. A simple algorithm is proposed to solve the resulting boundary value problem. Finally, the common perception that seawater/river water should be used instead of freshwater as cooling medium is tested via optimisation where the operating costs of the process for two cooling mediums is minimised. The freshwater has been found to be cost effective cooling medium. 2018-11-06T16:04:16Z 2018-11-06T16:04:16Z 2019-03 2018-10-26 2018-10-28 Article Accepted Manuscript Dhorat A, Al-Obaidi MA and Mujtaba IM (2019) Dynamic modelling and operational optimisation of natural draft cooling towers. Thermal Science and Engineering Progress. 9: 30-43. http://hdl.handle.net/10454/16646 en https://doi.org/10.1016/j.tsep.2018.10.013 © 2018 Elsevier Ltd. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. |
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language |
en |
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topic |
Cooling towers Numerical modelling Dynamic modelling SQP optimisation Cycles of concentration |
spellingShingle |
Cooling towers Numerical modelling Dynamic modelling SQP optimisation Cycles of concentration Dhorat, A. Al-Obaidi, M.A. Mujtaba, Iqbal M. Dynamic modelling and operational optimisation of natural draft cooling towers |
description |
Yes === Natural draft cooling towers are subjected to dynamic air temperature and humidity ratio of air throughout the day. Their performances based on steady state model is restricted to single air temperature and humidity ratio of air values and thus are not accurate. In this work, a dynamic model for a natural draft cooling tower is developed. Air temperature and relative humidity data for Johannesburg were acquired to develop dynamic correlations for these two parameters and are embedded in the process model together with the dynamic model of the collection basin of the tower. A simple algorithm is proposed to solve the resulting boundary value problem. Finally, the common perception that seawater/river water should be used instead of freshwater as cooling medium is tested via optimisation where the operating costs of the process for two cooling mediums is minimised. The freshwater has been found to be cost effective cooling medium. |
author |
Dhorat, A. Al-Obaidi, M.A. Mujtaba, Iqbal M. |
author_facet |
Dhorat, A. Al-Obaidi, M.A. Mujtaba, Iqbal M. |
author_sort |
Dhorat, A. |
title |
Dynamic modelling and operational optimisation of natural draft cooling towers |
title_short |
Dynamic modelling and operational optimisation of natural draft cooling towers |
title_full |
Dynamic modelling and operational optimisation of natural draft cooling towers |
title_fullStr |
Dynamic modelling and operational optimisation of natural draft cooling towers |
title_full_unstemmed |
Dynamic modelling and operational optimisation of natural draft cooling towers |
title_sort |
dynamic modelling and operational optimisation of natural draft cooling towers |
publishDate |
2018 |
url |
http://hdl.handle.net/10454/16646 |
work_keys_str_mv |
AT dhorata dynamicmodellingandoperationaloptimisationofnaturaldraftcoolingtowers AT alobaidima dynamicmodellingandoperationaloptimisationofnaturaldraftcoolingtowers AT mujtabaiqbalm dynamicmodellingandoperationaloptimisationofnaturaldraftcoolingtowers |
_version_ |
1719282389714206720 |