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    Dynamic modelling and operational optimisation of natural draft cooling towers

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    Mujtaba_et_al_Thermal_Science_&_Engineering_Progress.pdf (593.8Kb)
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    Publication date
    2019-03
    Author
    Dhorat, A.
    Al-Obaidi, Mudhar A.A.R.
    Mujtaba, Iqbal M.
    Keyword
    Cooling towers
    Numerical modelling
    Dynamic modelling
    SQP optimisation
    Cycles of concentration
    Rights
    © 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.
    Peer-Reviewed
    Yes
    
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    Abstract
    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.
    URI
    http://hdl.handle.net/10454/16646
    Version
    Accepted Manuscript
    Citation
    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.
    Link to publisher’s version
    https://doi.org/10.1016/j.tsep.2018.10.013
    Type
    Article
    Collections
    Engineering and Informatics Publications

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