Optimal Water Quality Sensor Locations in Water Distribution Systems by Network Analysis and Multi-Objective Genetic Algorithm

2011 ◽  
Author(s):  
Gunhui Chung ◽  
Do Guen Yoo ◽  
Joong Hoon Kim
Keyword(s):  
Genetic Algorithm ◽  
Water Quality ◽  
Network Analysis ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Sensor Locations

scholarly journals Design optimization of water distribution networks: real-world case study with penalty-free multi-objective genetic algorithm using pressure-driven simulation

Water SA ◽  
2020 ◽  
Vol 46 (3 July) ◽  
Author(s):  
Tiku T Tanyimboh ◽  
Alemtsehay G Seyoum
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Real World ◽  
Distribution Systems ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Systems ◽  
Active Constraint ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm

Water distribution systems are an integral part of the economic infrastructure of modern-day societies. However, previous research on the design optimization of water distribution systems generally involved few decision variables and consequently small solution spaces; piecemeal-solution methods based on pre-processing and search space reduction; and/or combinations of techniques working in concert. The present investigation was motivated by the desire to address the above-mentioned issues including those associated with the lack of high-performance computing (HPC) expertise and limited access in developing countries. More specifically, the article’s aims are, firstly, to solve a practical water distribution network design optimization problem and, secondly, to develop and demonstrate a generic multi-objective genetic algorithm capable of achieving optimal and near-optimal solutions on complex real-world design optimization problems reliably and quickly. A multi-objective genetic algorithm was developed that applies sustained and extensive exploration of the active constraint boundaries. The computational efficiency was demonstrated by the small fraction of 10-245 function evaluations relative to the size of the solution space. Highly competitive solutions were achieved consistently, including a new best solution. The water utility’s detailed distribution network model in EPANET 2 was used for the hydraulic simulations. Therefore, with some additional improvements, the optimization algorithm developed could assist practitioners in day-to-day planning and design.

Multi-objective optimization for conjunctive placement of hydraulic and water quality sensors in water distribution systems

2011 ◽  
Vol 11 (2) ◽  
pp. 166-171 ◽  
Author(s):  
Ami Preis ◽  
Andrew Whittle ◽  
Avi Ostfeld
Keyword(s):  
Water Quality ◽  
Sensor Network ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Quality Data ◽  
Hydraulic Pressure ◽  
Water Quality Data ◽  
Multi Objective ◽  
Water Quality Sensors

Near real-time continuous monitoring systems have been proposed as a promising approach for enhancing drinking water utilities detect and respond efficiently to threats on water distribution systems. Water quality sensors are aimed at revealing contamination intrusions, while hydraulic pressure and flow sensors are utilized for estimating the hydraulic system state. To date optimization models for placing sensors in water distribution systems are targeting separately water quality and hydraulic sensor network goals. Deploying two independent sensor networks within one distribution system is expensive to install and maintain. It might thus be beneficial to consider mutual sensor locations having dual hydraulic and water quality monitoring capabilities (i.e. sensor nodes which collect both hydraulic and water quality data at the same locations). In this study a multi-objective sensor network placement model for conjunctive monitoring of hydraulic and water quality data is developed and demonstrated using the multi-objective non-dominated sorted genetic algorithm NSGA II methodology. Two water distribution systems of increasing complexity are explored showing tradeoffs between hydraulic and water quality sensor location objectives. The proposed method provides a new tool for sensor placements.

scholarly journals Water Quality Based Multi-objective Optimal Design of Water Distribution Systems

2016 ◽  
Vol 31 (1) ◽  
pp. 93-108 ◽  
Author(s):  
Meisam Shokoohi ◽  
Massoud Tabesh ◽  
Sara Nazif ◽  
Mehdi Dini
Keyword(s):  
Water Quality ◽  
Optimal Design ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Multi Objective

A history of water distribution systems and their optimisation

2014 ◽  
Vol 15 (2) ◽  
pp. 224-235 ◽  
Author(s):  
Helena Mala-Jetmarova ◽  
Andrew Barton ◽  
Adil Bagirov
Keyword(s):  
Water Quality ◽  
Network Analysis ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
The Third ◽  
Supply And Distribution ◽  
History Of ◽  
Water Pumps ◽  
Rich History

Water distribution systems have a very long and rich history dating back to the third millennium B.C. Advances in water supply and distribution were followed in parallel by discoveries and inventions in other related fields. Therefore, it is the aim of this paper to review both the history of water distribution systems and those related fields in order to present a coherent summary of the complex multi-stranded discipline of water engineering. Related fields reviewed in this paper include devices for raising water and water pumps, water quality and water treatment, hydraulics, network analysis, and optimisation of water distribution systems. The review is brief and concise and allows the reader to quickly gain an understanding of the history and advancements of water distribution systems and analysis. Furthermore, the paper gives details of other existing publications where more information can be found.

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