ACTUI Network

Advanced Computer Technology for Underground Infrastructure

Home
Up
Members
What's New
Seminar 2004
Meetings
Research
Minutes
EPSRC
Events

 

Water Infrastructure Research at the University of Liverpool

ACTUI-related research at the University of Liverpool is carried out in the Department of Civil Engineering. The group includes four academics (Professors Richard Burrows and Andrew Templeman, Drs Kamil Ali and Tiku Tanyimboh), one postdoctoral researcher (Dr B Tahar) and four PhD students (James Ackley, Paul Kalungi, Trevor McIlhatton and Seevali Surrendran).

The groupís research interests are listed below and also on their website http://www.liv.ac.uk/civil/s-research/environ.htm;

Sewer Systems

bullet

mathematical modelling

bullet

control of interceptor sewers

bullet

optimal/real-time flow/pollution control

bullet

sewer hydrograph synthesis

 Water Distribution Systems (WDS)

bullet

information management systems

bullet

mathematical modelling

bullet

reliability and performance assessment

bullet

optimal design/upgrading and operation

bullet

calibration

bullet

demand characterisation and statistical modelling

bullet

rationalisation of errors/uncertainties

bullet

pressure transients 

Current research may be summarised under three themes:

  1. Pressure-Driven Modelling and Performance Assessment of WDS

The quantity of water supplied by a WDS is governed by pressure. Therefore, under low-pressure conditions, pressure-driven WDS modelling is concerned with the simultaneous determination of nodal pressures and outflows which are consistent with the boundary conditions imposed by the system pressures while minimising the shortfall in the amount of water supplied. This area has EPSRC support (Grant GR/N02672).

  1. Optimal Control of Large Interceptor Sewer Systems

Using linear programming, an innovative slug flow approach has been developed to minimise the pollution of receiving waters by combined sewer overflows. Simulations of the Liverpool system suggest that the control policies can be determined rapidly enough for real-time control purposes.

  1. Maximum Entropy-Based Bias-Free Inference Under Uncertainty

This provides a least-biased estimator for systems with limited or inaccurate data. Applications include:

WDS model calibration and reliability-based optimal design Rationalisation of errors in WDS data (per capita consumption, metering errors, pipe characteristics, etc). This aims to distribute errors rationally to obtain more robust computer models.

 

 

For problems or questions regarding this web contact [S.E.Adam@ex.ac.uk].
Last updated: May 06, 2003.

© Copyright 2003.