In the UK, the Water Services Regulation Authority (OFWAT), estimates that for all the water and sewage companies there was over 3,365 Ml/d (megalitres per day) of water leakage in the reported period 2010 and 2011, which was still at 3094.21 Ml/day in the 2013 review. Leakage estimates do not include water siphoned illegally through unaccounted connections worsened as asset management of buried utility services has been overlooked for years. With the asset management programme framework (AMP6) due to come into effect in April 2015, water companies are expected to get more out of their existing infrastructure and making considerable investment while keeping bills reasonable for customers. Improving the management of these assets is therefore a priority, as effective asset management enables companies to reduce cost, through leakage management, to plan investments and repairs, and to evaluate operational risks by better fault prediction rather than the current reactive approach. This research focuses on the water distribution network as an asset that include leaks and pipe infrastructure with different materials and diameters. A novel method for leak detection and asset management using an electromagnetic sensor has been developed. Trials in the laboratory showed the sensor is capable of detecting pipe types and conditions thus improving leak detection and asset management in the water industry without extensive digs and modification to existing access valves within the network for system deployment. Furthermore, the sensor would potentially benefit the gas industry by modifying the frequency of operation to match gas filled cylindrical metal structures.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:697473 |
| Date | January 2015 |
| Creators | Diallo, M. A. |
| Contributors | Shaw, Andrew ; Wylie, Stephen ; Al-Shamma'a, Ahmed Ibrahim |
| Publisher | Liverpool John Moores University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://researchonline.ljmu.ac.uk/4412/ |
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