IoT-Enabled Water Distribution Systems—A Comparative Technological Review

Real time control of water distribution networks: A state-of-the-art review

Non-linear economic model predictive control of water distribution networks

Control of water distribution networks (WDNs) can be represented by an optimization problem with hydraulic models describing the nonlinear relationship between head loss, water flow, and demand. The problem is difficult to solve due to the non-convexity in the equations governing water flow. Previous methods used to obtain WDN controls (i.e., operational schedules for pumps and valves) have adopted simplified hydraulic models. One common assumption found in the literature is the modification of WDN topology to exclude loops and assume a known water flow direction. In this paper, we present a new geometric programming-based model predictive control approach, designed to solve the water flow equations and obtain WDN controls. The paper considers the nonlinear difference algebraic equation (DAE) form of the WDN dynamics, and the GP approach amounts to solving a series of convex optimization problems and requires neither the knowledge of water flow direction nor does it restrict the water network topology. A case study is presented to illustrate the performance of the proposed method.

In urban water infrastructure (UWI), information and communication technology (ICT) are presently concentrated on central facilities (e.g., treatment plant) or are installed at main points in the urban drainage or water distribution network, e.g., inlet points of district meter areas (DMA) or combined sewer overflow structures. In this regard, the Internet of Things (IoT) concept as part of smart city development enables a large-scale implementation of measuring equipment and allows the integration of decentralised elements into an overall controlled system. Consequently, reliable and suitable ICT is a key element for the exchange of measurement and control data as well as for the success of these systems. From a water engineering perspective, it is often difficult to choose the right ICT for the intended UWI application. Likewise, from an IoT technology perspective, it is often unclear what kind of UWI applications are feasible, making them difficult to efficiently implement. Aim of this work is to develop a first-decision making tool, which can be used by network operators, researcher, and stakeholders to support supervisory control and data acquisition (SCADA) development and to realise an efficient ICT system in the field of network-based UWI. In contrast to existing recommendations, our approach is based on a comprehensive review of required spatial and temporal resolution of measurement and control data for a wide range of different network-based UWI applications. Subsequently, this enables a targeted coordination with the properties of communication technologies (e.g., data rate, range, and quality of service) and leads to a significantly improved and integrative decision-making tool.Subsequently, we tested the functionality of the framework on two exemplary applications in UWI, namely (1) determining suitable communication technologies for an early warning system for leakage detection and localisation in water distribution networks (e.g., (W)M-Bus for water meters, LoRaWAN for water pressure sensors, and GPRS at inlet points of DMA), and (2) identifying feasible applications for an existing LoRaWAN network (e.g., monitoring micro-climate and automatic irrigation at nature-based solutions). Results from the framework application have been evaluated through a literature review on used communication technologies, and are found to be consistent with real-word applications. As conclusion, different communication technologies are necessary to satisfy different requirements associated with an integrative approach for “smart water cities”. Selected for possible publication in a Special Issue in the Journal of Hydroinformatics.

Objective: This study aimed to implement a model for detecting and locating leaks in water distribution networks, using artificial intelligence (artificial neural networks). Background: Traditional leak detection methods, such as visual inspections and flow and pressure analysis, are being progressively complemented by solutions based on smart sensors and machine learning techniques. Method: Using the method of characteristics to solve the momentum and continuity equations, along with nodal equations, a hydraulic transient simulator was created for water distribution networks with leaks. For the leak simulation, the orifice law (Torricelli's Law) was used. Results and Discussion: The developed model successfully located the leak with an error of approximately 5.65%, corresponding to a distance of approximately 61.22 m for the studied network. Research Implications: Deteriorated infrastructure in water distribution systems can lead to leakage losses, reduced water transport capacity, component failures, increased maintenance and operating costs, frequent system interruptions, and decreased reliability. Thus, the exploration of rapid leak detection and location methods has increased, aiming to mitigate environmental impacts and the losses of natural and financial resources. Originality/Value: The methodological distinction lies in using pressure wave travel times as input data, rather than absolute pressure values. This approach eliminates the need for detailed hydraulic network calibration, reduces sensitivity to operational noise, and broadens the practical applicability of the model.

Water losses in watersupply and distribution systems have been a serious problem in Turkey and allover the world causing economic costs and environmental drawbacks. Total waterlosses is the summation of real (physical) and apparent (commercial) losses. Mainactivities to reduce water losses include digitizing the components of network usingGeographical Information Systems (GIS), dividing large water distributionnetworks (WDNs) into District Metered Areas (DMAs), monitoring, carrying outyearly water balance, hydraulic modelling, pressure management, active leakagecontrol, recording water consumption of the users, reducing meter errors andillegal water consumption. The Ministry of Forestry and Water Affairs in Turkeyissued a new regulation for water losses reduction in 2014 based on the methodsused to determine and reduce the losses. This is followed by issuing practicaldescription of the technical procedure to reduce the losses in 2015. The newlegislation aims to reduce total water losses in all water authorities below 25%within certain time periods. All the water authorities are required to carryout yearly water balance and report them to the ministry together with forms tofollow up the efforts towards water losses reduction. In order to apply theprescribed techniques in a successful way, first of all water losses problemshould be understood well, technical and human resource capacity should beimproved, and sufficient financial resources should be allocated. Also, thewater utilities should have a strategic plan and a strong commitment to reducewater losses.

A Stochastic Programming Approach for the Strategic Valve Locations Problem in a Water Distribution System

In this paper, a simplified methodology to increase the water distribution equity in existing intermittent water distribution systems (WDSs) is presented. The methodology assumes to install valves in the water distribution network with the objective to re-arrange the flow circulation, thus allowing an improved water distribution among the network users. Valve installation in the WDS is based on the use of algorithms of sequential addition (SA). Two optimization schemes based on SA were developed and tested. The first one allows identifying locations of gate valves in order to maximize the global distribution equity of the network, irrespectively of the local impact of the valves on the supply level of the single nodes. Conversely, the second scheme aims to maximize the global equity of the network by optimizing both location and setting (opening degree) of control valves, to include the impact of the new flow circulation on the supply level of each node. The two optimization schemes were applied to a case study network subject to water shortage conditions. The software EPA Storm Water Management Model (SWMM) was used for the simulations in the wake of previous successful applications for the analysis of intermittent water distribution systems. Results of the application of the SA algorithms were also compared with those from the literature and obtained by the use of the multi-objective Non-Dominated Sorted Genetic Algorithm II (NSGA II). The results show the high performance of SA algorithms in identifying optimal position and settings of the valves in the WDS. The comparison pointed out that SA algorithms are able to perform similarly to NSGA II and, at the same time, to reduce significantly the computational effort associated to the optimization process.

This study was aimed to optimize the designed water distribution system in the Wukro town using WaterGEMS model. The Darwin Designer in WaterGEMS was applied for finding optimal pipe diameter to supply adequate quantity of water at satisfactory pressures to the end users. In the WaterGEMS model, the Darwin Scheduler of daily pumping operations tools also used for optimal control and operation of pump systems. The WaterGEMS model was implemented in water distribution networks which include 117 pipes (40.67km), 99 demand nodes (equivalent to 50480 end users) that are spread across a hilly area over a 1989m to 2046m elevation gradient. The model was calibrated at the selected nodes within very good performance. The results have shown that the maximum pressure before optimization is 31.1m and after optimization increased to 38.1m, the minimum pressure on the former is 7.9m and 16m later during peak hour demand. Comparison of results showed that the optimized networks reduce the cost by 9.6% than those of before optimization networks by traditional hydraulic. In addition to this, the optimal tanks filling/emptying arrangement decreased the daily cost of energy consumptions by 12.5% compare as a currently scheduled pump. The finding of this study indicated that the WaterGEMS model is a promising approach for optimal sizing of pipes in design water distribution networks and pumping operational schedules. Keywords : Water Distribution Network, Genetic Algorithm, Pipe Diameter, Energy consumption, Darwin Designer, Darwin scheduler DOI: 10.7176/CER/12-6-01 Publication date: June 30 th 2020

The water distribution network plays a key role in ensuring and providing a high quality of life for the public, with supply dependability being the most crucial component. A communities thrive is dependent on the availability of safe drinking water for its members. As the population of any community increases, the request for water also increases which imposes additional load to the existing water distribution system. As a result, the present water distribution system may become untrustworthy to meet the demand of the increased population. It is vital to provide an adequate and equitable quantity of water through a well-designed network of pipes in order to meet the ever-increasing water demand of the population. LOOP (Version 4.0) can be used to develop and simulate gravity and pumped water distribution systems that are novel, partially or completely functional. LOOP 4.0 is used to determine the cost of pipe network. EPANET is a computer program that models hydrodynamic behaviour in a pressurised pipe network over a long period of time. The Examination presents the hydraulic analysis of pipe network of Narangi area in Virar city using Loop 4.0 and EPANET 2.0. The results confirmed that the pressure at all junctions and velocities at all pipes are acceptable to deliver appropriate water to the study area’s network, as well as aiding in a better understanding of the study area’s pipeline system. The study also deals with the cost of distribution network.KeywordsLOOP 4.0EPANET 2.0Arc GISElevationNodesPipe networkPressureWater supply

Evaluation of Municipal Water Distribution System Reliability Using Minimum Cut-set Method

Water distribution networks (WDNs) are a critical component of modern society, responsible for delivering water to local communities and industries while maintaining continuous, stable flow within the system, which carries low-grade hydropower potential. These systems are vulnerable to disruptive events, such as pipeline failures and water contamination. To mitigate the risk of disruption events, recent EU policies have focused on the digitalisation of critical infrastructure, including WDNs and wastewater treatment plants (WWTPs), through the integration of Internet of Things (IoT) technologies. Digitalisation enables system operators to collect real-time data and perform predictive maintenance, thereby improving resilience and operational efficiency. Thus, system electricity requirements will increase to support IoT and digitalisation retrofitting.This creates an opportunity to deploy energy-harvesting (EH) devices within WDNs and WWTP infrastructure that harness and utilise the resonant and kinetic energy inherent in water flow. Although the benefits of EH devices are often considered minimal and their energy outputs are low, EH devices are considered a viable power source for low-power sensors, such as pressure, contamination, and temperature sensors.This study proposes and applies a feasibility assessment framework to evaluate EH devices as an alternative, decentralised power source for IoT-enabled monitoring in WDNs. The framework includes technical performance analysis, economic viability, and environmental impact assessments, combined with probability-based resilience modelling. It uses case-specific hydraulic, operational, design, and economic data to quantify EH power outputs, assess the costs of design and deployment, evaluate the environmental footprint of the devices, determine sensor energy requirements, and assess system resilience across different deployment scenarios.Results demonstrate that the EH device has a mechanical power-generation capacity potential ranging from 0.049 to 36 watts, depending on the study location, flow conditions, and design characteristics. This EH generation capacity is sufficient to power pressure, contamination, and temperature sensors. The resilience modelling indicates that the detection probability of WDNs exhibits the most significant gains from adding sensors at low deployment levels. Thus, most of the improvement in detection levels occurs between deploying the first five to ten sensors; beyond this threshold, adding more sensors exhibits diminishing marginal returns to detection probability and system resilience. In addition, adding more sensors can significantly reduce system resilience by increasing power requirements, thereby placing excessive load on the power supply of the EH devices. Thus, it increases the risk of failure rather than enhancing resilience.Overall, the results underscore the importance of strategic sensor allocation over high-density deployment and of balancing monitoring coverage with energy availability. Furthermore, the results show that EH devices are suitable power-generation technologies for supporting the digitalisation of WDNs and informing the design of new monitoring systems and sensor placement to enhance system reliability, enable cost-effective monitoring, and maximise mitigation benefits. In addition, the proposed framework provides decision-makers with a structured approach to assessing EH integration applications for digitalised WDNs, focusing on enhancing resilience through monitoring, conducting technical performance and cost-benefit analyses, assessing environmental trade-offs, and designing monitoring strategies aligned with sustainability and resilience objectives.

Modelling the impact of weather parameters on the microbial quality of water in distribution systems

Water is a necessary component of urban structures and a source of life. Nowadays water distribution system's performance might decline for various reasons, resulting in water waste, hence, to maintain a reliable water distribution network, assessing each water distribution study's validity is crucial. Therefore, this research has focused on using durability assessment to evaluate a water supply system. A water distribution network includes an overhead tank and nodes, pipelines, and nodes. The hydraulic properties of every node as well as pipe, including pressure and flow, are calculated utilizing EPANET. This research evaluates the reliability analysis based on the benchmark data's various diameter of pipes, such as 0.6 m, 0.4 m, 0.3 m, 0.2 m, and 0.15 m, usage. Finally, this research analyses the reliability of each set of diameter pipes in the water supply system.

This paper represents the initial steps in the development of a new system for leak detection and localization in the water distribution network. This system is based on wireless underground sensor networks. First, we start with determining an optimal location of leak control points in the water distribution network especially in areas which are difficult to control. Then, we move to the development of a distributed algorithm to detect and locate in real time the small and the large leaks in the water distribution system. This algorithm is accompanied by a data aggregation method which minimizes the amount of transmitted information and avoids false alarms. In addition, we present a new cross-layer method in order to optimize the performance of the underground wireless sensor network.