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Residence time methods for modelling and assessing the performance of water treatment processes.

The objective of this study was to provide a technique, based on the residence time

distribution of a process, for modelling, assessing and improving flow in the processes

of water and waste water treatment works. The technique should be accessible to the

staff managing and operating the works.

From a review of the literature, a preference was given for the experimental method

used for determination of the tracer response, including choice of tracer and tracer

addition and monitoring. Data analysis techniques were reviewed, and the method of

time domain fitting was developed into a computer program, IMPULSE. IMPULSE

provided a tool for analysis of residence time data, and removed the constraint of

numerical complexity. Using the building blocks of IMPULSE, a realistic flow model

can be constructed from tracer data and evaluated. IMPULSE allows a quantitative

comparison of models proposed for a process, and provides the parameters of the models.

These parameters quantify the non-idealities in a process. A knowledge of the

non-idealities provides a basis for decision-making when modifying a process.

The results of tracer experiments performed on some water and waste water treatment

processes were analysed using IMPULSE. The results showed that collection of good

experimental data was critical to the success of the analysis.

It is proposed that a guide be produced which draws out the main points raised in the

study, including collection of tracer data and use of IMPULSE. The guide should be

accessible and easily understandable to the staff managing and operating water and

waste water treatment works. / Thesis (M.Sc.Eng.)-University of Natal, Durban, 1995.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/11267
Date23 September 2014
CreatorsBarnett, Jacqueline Lisa.
ContributorsBuckley, Christopher A.
Source SetsSouth African National ETD Portal
Languageen_ZA
Detected LanguageEnglish
TypeThesis

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