Details of Grant 

EPSRC Reference:	GR/R14101/01
Title:	Prediction and Control of Discoloration Events In Distribution Networks
Principal Investigator:	Saul, Professor AJ
Other Investigators:	Edyvean, Dr R
Researcher Co-Investigators:
Project Partners:	7-Technologies Anglian Water Ewan Associates Ltd Stoner Associates Europe Ltd US Environ Protection Agency Yorkshire Water
Department:	Civil and Structural Engineering
Organisation:	University of Sheffield
Scheme:	Standard Research (Pre-FEC)
Starts:	01 January 2001	Ends:	31 March 2004	Value (£):	197,867
EPSRC Research Topic Classifications:	Water Engineering
EPSRC Industrial Sector Classifications:	Water
Related Grants:
Panel History:
Summary on Grant Application Form
Water Companies in the UK operate water distribution networks that are aged and often comprise a large proportion of unlined ferrous pipes. These pipes corrode internally and discolour drinking water which subsequently reaches the customers tap and causes complaint. Historically, repeated discoloration events within networks have been used as justification for pipe replacement. However, effective management of these pipework assets in the form of planned mains flushing operations will prolong the useful life of many mains by significantly reducing or eliminating such water quality failures. This research proposal is concerned with the development of a computational model for the prediction of discoloration resulting from network operational activity. The model will provide the opportunity for water companies to optimise flushing operations in terms of discoloration product removal and frequency and duration of flushing thereby minimising the risk of customer complaints. The new management ethos based on asset management rather than pipe replacement will result in significant extra efficiency and cost savings that will be passed onto the customer. The research will also provide the water companies with a better understanding of the required longer term replacement profiles for the pipes in their networks and will result in improved investment planning.
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Organisation Website:	http://www.shef.ac.uk