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Developing a Stress-Test to Assess Drinking Water Distribution Systems Under Changing Demand

Developing a Stress-Test to Assess Drinking Water Distribution Systems Under Changing Demand

Claudia Agudelo-Vera | Mirjam Blokker

(2016)

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Book Details

Abstract

The drinking water distribution system (DWDS) is a critical infrastructure and a costly asset with a life time of several decades. With rapidly changing urban environments and increasing technological innovation, drinking water demand is likely to change in the coming decades. However, quantifying these changes involves large uncertainties. This book develops a methodology to analyse the robustness of the DWDS to deal with a wide range of future water demands. A stress test was developed to investigate the effects of a set of demand scenarios on the network performance. In a first stage ten scenarios considering technological and demographic changes were applied and in a second stage, a more in depth analysis comparing the performance of a looped versus a branched design was performed, simulating 30 patterns per connection. The proposed “stress-test” showed to be a robust methodology to investigate functionality of the system under a broad range of changing water demand scenarios. Results showed that even in the most extreme scenarios management and operation of the network can be adapted or adjusted to cope with head losses, low velocities or long residence times.

Table of Contents

Section Title Page Action Price
Cover Cover
Contents 6
1 Introduction 7
1.1 Problem description 7
1.2 Research steps 7
1.3 Approach 8
1.4 Outcomes 9
2 Stress-test to determine network robustness 10
2.1 Introduction 10
2.2 Scenarios description 10
2.3 Networks description 12
2.4 Simulating drinking water demand 13
2.5 Results overview 13
2.5.1 Daily water demand and peak demand 13
2.5.2 Maximum head loss 16
2.5.3 Maximum residence time 16
2.5.4 Overview of the results 17
3 Stress-test to determine network robustness – Two networks layouts and 30 scenarios 18
3.1 Networks description 18
3.2 Daily water consumption and peak demand 19
3.3 Head loss 21
3.4 Water quality: residence time and self-cleaning capacity 22
3.5 Customers minutes lost 24
3.6 Network performance, robustness and operability 24
4 Transitions in the drinking water demand 27
5 Conclusions and recommendations 29
6 References 31