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Annual report Chair on Drinking Water Engineering 2008 - TU Delft

Annual report Chair on Drinking Water Engineering 2008 - TU Delft

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Research projects:<br />

Removal of trace organic pollutants by membrane filtrati<strong>on</strong> in water reuse applicati<strong>on</strong>s Arne Verliefde<br />

AOP and artificial recharge and recovery: a synergistic hybrid for micro pollutants Karin Teunissen<br />

QSARs in drinking water treatment David de Ridder<br />

Degradati<strong>on</strong> products in drinking water due to oxidative water treatment processes Zahira Herrera Rivera<br />

Microbial degradati<strong>on</strong> of micro pollutants in drinking water Marco Casola<br />

Multiple water reuse: sustainable design without precipitati<strong>on</strong> based <strong>on</strong> a new P-index Lamber Paping<br />

Theme 3: Modeling, sensoring and automati<strong>on</strong><br />

Theme leader: Luuk Rietveld<br />

<strong>Drinking</strong> water treatment plants c<strong>on</strong>sists of numerous treatment processes in series and in parallel. The operati<strong>on</strong><br />

of the present-day infrastructure is d<strong>on</strong>e by operators that mainly focus <strong>on</strong> providing the required flow at all times.<br />

It is obvious that it is possible to achieve better results at lower costs and with less impact <strong>on</strong> the envir<strong>on</strong>ment by<br />

utilising available opti<strong>on</strong>s such as buffer tanks, equal flow distributi<strong>on</strong> over filters, flow c<strong>on</strong>trol and process c<strong>on</strong>trol.<br />

By using computer models it is now also possible to improve the water quality leaving the treatment plant while<br />

delivering the required flow. Focus of this theme is <strong>on</strong> an optimised process and flow c<strong>on</strong>trol by mass balance<br />

based modeling and by more sophisticated computati<strong>on</strong>al fluid dynamics. Also stochastic data models are used<br />

to assess the efficiency of treatment processes. We aim to achieve the c<strong>on</strong>cept of a ‘virtual treatment plant’, that<br />

is a model of the plant that can functi<strong>on</strong> as a simulator to assist the operator in finding the optimal settings.<br />

Research projects:<br />

Developing and modeling of oxidati<strong>on</strong> processes for water treatment Alex van der Helm<br />

Modeling of biological activated carb<strong>on</strong> filtrati<strong>on</strong> René van der Aa<br />

Simulati<strong>on</strong> of drinking water treatment plants Ignaz Worm<br />

Grey-box modeling and plant-wide integrated c<strong>on</strong>trol of water purificati<strong>on</strong> processes Kim van Schagen<br />

CFD in drinking water treatment Bas Wols<br />

Microbial risk analysis framework Patrick Smeets<br />

Modeling and m<strong>on</strong>itoring of drinking water treatment processes Petra Ross<br />

Integrated modeling of c<strong>on</strong>venti<strong>on</strong>al drinking water treatment Javier Sanchez<br />

12 <str<strong>on</strong>g>Annual</str<strong>on</strong>g> <str<strong>on</strong>g>report</str<strong>on</strong>g> DWE <strong>2008</strong>

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