Detection of Water Leakage Using Innovative Smart Water System
Author | : Elias Farah |
Publisher | : |
Total Pages | : 0 |
Release | : 2016 |
ISBN-10 | : OCLC:1004856995 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Detection of Water Leakage Using Innovative Smart Water System written by Elias Farah and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work concerns the use of the Smart Water Technology for the detection of water leakage. It is a part of SunRise project which aims at turning the Scientific Campus of the University of Lille into a large scale demonstrator site of the "Smart and Sustainable City". The campus is representative to a small town of 25000 inhabitants. This work is also a part of the European Project SmartWater4 Europe, which aims to develop 4 demonstrators of the Smart Water Technology. This thesis includes five parts. The first part includes a literature review concerning the technologies used in leakage detection. The second part presents the SunRise Smart City demonstrator, which is used as a basis for this thesis. This section details the instrumentation installed in the demo site as well as leak simulations tests to analyze the efficiency of an acoustic system of leakage detection. The third part focuses on the analysis of the water consumption at different time scales. Analysis concerns both sub-meters and bulk meters. It is conducted using a platform for the aggregation and the interpretation of the data. This part presents also major leakage events in 2015. The fourth part concerns leak detection using the water balance calculation based on the top down and bottom up approaches. It also presents the Active Leakage Control (ALC) strategy applied to the demo site in order to reduce the level of Non-Revenue Water (NRW). The last part concerns the use of advanced methods for leak detection with application on the campus data. These methods include the Comparison of Flow Pattern Distribution Method (CFPD), the Minimum Night Flow (MNF) method and two developed statistical approaches.