scholarly journals Real-Time Dynamic Hydraulic Model of Water Distribution Networks

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 470 ◽  
Author(s):  
Adnan Abu-Mahfouz ◽  
Yskandar Hamam ◽  
Philip Page ◽  
Kazeem Adedeji ◽  
Amos Anele ◽  
...  

The impact of climate change and increasing urbanisation throughout the world has forced water utility managers to increase the efficiency of water resources. Reduction of real (or physical) water losses plays a crucial role in improving the efficiency of water supply systems. Considering these challenges, it will not be enough to rely only on traditional approaches to solve the problem of water losses. Therefore, more advanced techniques need to be developed and utilized. Recently, a framework for a real-time dynamic hydraulic model for potable water loss reduction was proposed. This paper focuses mainly on the three major components of the proposed real-time dynamic hydraulic model framework for potable water loss reduction, which have been developed recently. These are background leakage detection, pressure management, and water demand forecasting. A background leakage detection algorithm was proposed which, amongst others, permits the localisation of potential critical nodes or pipes with higher leakage flow in the network where such pressure management could be performed. More so, new controllers (algorithms) which perform pressure management by accurately setting the pressure, using either a pressure control valve or variable speed pump, have been constructed. In addition, background leakage flow is greatly affected by demand variations, a water demand forecasting model is constructed with the aim of annexing the demand variation for multi-period leakage analysis. Thus, a short-term water demand forecast utilising the Model Conditional Processor was constructed to forecast the following hour demand and the associated predictive uncertainty. Although each of these components have been tested independently, future work is ongoing for merging these components and integration within the dynamic hydraulic model framework.

2014 ◽  
Vol 06 (15) ◽  
pp. 1437-1443
Author(s):  
Bruno M. Brentan ◽  
Lubienska C. L. J. Ribeiro ◽  
Edevar Luvizotto Jr. ◽  
Danilo C. Mendonça ◽  
José M. Guidi

2015 ◽  
Vol 7 (3) ◽  
pp. 147 ◽  
Author(s):  
Borja Ponte ◽  
David De la Fuente ◽  
Raúl Pino ◽  
Rafael Rosillo

2017 ◽  
Vol 309 ◽  
pp. 532-541 ◽  
Author(s):  
Bruno M. Brentan ◽  
Edevar Luvizotto Jr. ◽  
Manuel Herrera ◽  
Joaquín Izquierdo ◽  
Rafael Pérez-García

2015 ◽  
Author(s):  
Κωνσταντίνος Γκονέλας

Framework Directive (WFD) 60/2000/EC and finding ways of Water Distribution System’s (WDS’s) Full Water Cost (FWC) calculation, was the trigger for the preparation of this thesis. An increase in water price is expected to follow the full water costing, so the general objective of the thesis was the documented alleviating of consumers impact by implementing Non-Revenue Water (NRW) strategies. A series of methodologies and tools were developed in order to find the equilibrium level of efficient (in terms of water volume) and reciprocating (in terms of revenue) water uses or otherwise the sustainability level of urban water uses, while a) applying full water costing and b) implementing operating pressure management within the limits of Economic Annual Real losses (EARL). It is demonstrated through the proposed methodology that application of pressure management within the EARL limits can absorb large increases in the water price and lead simultaneously to sustainable levels the various system’s demands. The main tools required for completing this thesis (both for shaping the methodology and for the implementation in a real water network), was the FWC calculation method, the formulation of the residential water demand equation and the price elasticity of residential water demand, the method of calculating the economic level of leakage (ELL - Economic Level of Leakage), the pressure management techniques and the full hydraulic model of the Water Distribution System (WDS). The thesis is divided into the basic methodology and four distinct pillars. The first pillar is the analysis of the water balance terms and strategies to reduce real water losses and in particular the analysis of the operating pressure implementation due to network’s segmentation in hydraulically isolated areas, called District Metered Areas (DMAs) and Pressure Reducing Valves (PRVs) installation. The second pillar is the search for ways of calculating the FWC components (Direct Cost – DC, Environmental Cost – EC, Resource Cost – RC) defined by the WFD. The other two pillars are the calculation of the consumers’ response to water price change and the calculation of water price elasticity of residential demand and the proper hydraulic simulation of WDSs through the use of suitable software.The basic methodology analyzes how to approach the problem and the connection of the four pillars with the broader objective of finding the system's sustainability level by increasing the FWC and by implementing simultaneously pressure management in the limits of EARL. The concerns and the theoretical background of the methodology are initially analyzed. In particular, the reaction (due to elasticity of demand) and the system’s balance achievement by increasing the water price because of FWC implementation was investigated. Subsequently, before the detailed development of the remaining pillars of work, the methodologies that connect the various procedures are presented. EARL calculation mechanisms are developed due to pressure management application. The FWC, the elasticity of water demand, the terms of the water balance and finding of EARL levels were combined, so any increase in the actual FWC to cause implementation of pressure management in the EARL limits and finally all water balance components will balance to the sustainability levels. Major general concerns were finding the variation’s equations of the System Input Volume (SIV) components when the water price varies or when variation of the “water losses”, “illegal use” and “invoiced consumption” water volumes takes place. The application of the proposed methodologies was successfully implemented in Kozani WDS.The main conclusions were the beneficial effect of pressure management, when the water price increases, in all components of the water consumed, the operating pressure and the UARL (Unavoidable Annual Real Losses) and CARL (Current Annual Real Losses) indicators. The real losses water volume decreases rapidly when applying the “increasing water price with simultaneous pressure management (in the levels of EARL) implementation” scenario, while in the “increasing water price without NRW reduction measures” scenario the “real losses” water volume increases slightly. When applying pressure management measures at the level of EARL, there is less decrease of invoiced consumption. In the case of applying pressure management measures (in the EARL limits), the water price is not only increased at a slower rate, but for an initial increase of water price by 100%, the system balances at a reduced water price level compared to the initial. The average network’s pressure and the UARL indicator are increased with little pace water price increases without pressure management measures, while in the case of pressure management are reduced dramatically.


2016 ◽  
Vol 6 (3) ◽  
pp. 362-376 ◽  
Author(s):  
Michael M. Harawa ◽  
Zvikomborero Hoko ◽  
Shepherd Misi ◽  
Sinos Maliano

Lilongwe Water Board (LWB) is currently unable to meet Lilongwe City's water demand as evidenced by low supply coverage (65%) and intermittent water supply in the city. One of the major challenges is high levels of unaccounted for water (UFW) reported at 37% (2012), higher than the recommended 23% for developing countries. This study, done in Lilongwe City (Areas 15, 18 and 28), investigated water losses and partitioned UFW into real and apparent losses. Data collection involved data logging for pressures and flows at selected points in the network, meter testing, and water audits. This study estimated an average UFW of 37.5% for Lilongwe City and 33%, 44% and 20%, respectively, in the specific study areas (Areas 15, 18 and 28). The UFW in Lilongwe City was higher than recommended and was also higher than recommended in Areas 15 and 18 but within the acceptable limit for Area 28. High UFW levels in Areas 15 and 18 were mainly driven by real losses. The LWB should consider partitioning of its UFW to establish the main drivers, implement active leak detection programme and active pressure management in areas with high pressures.


2014 ◽  
Vol 16 (5) ◽  
pp. 1194-1209 ◽  
Author(s):  
M. Bakker ◽  
J. H. G. Vreeburg ◽  
M. Van De Roer ◽  
L. C. Rietveld

Pipe bursts in a drinking water distribution system lead to water losses, interruption of supply, and damage to streets and houses due to the uncontrolled water flow. To minimize the negative consequences of pipe bursts, an early detection is necessary. This paper describes a heuristic burst detection method, which continuously compares measured and expected values of water demands and pressures. The expected values of the water demand are generated by an adaptive water demand forecasting model, and the expected values of the pressures are generated by a dynamic pressure drop – demand relation estimator. The method was tested off-line on a historic dataset of 5 years of water flow and pressure data in three supply areas (with 650, 11,180 and 130,920 connections) in the western part of the Netherlands. In the period 274 bursts were reported of which, based on the definition we propose in this paper, 38 were considered as relatively larger bursts. The method was able to detect 50, 25.9 and 7.8% in the considered areas related to all bursts, and around 80% in all three areas related to the subset of relatively larger bursts. The method generated false alarms on 3% of the evaluated days on average.


Author(s):  
Lakshmi Kanthan Narayanan ◽  
Suresh Sankaranarayanan ◽  
Joel J P C Rodrigues ◽  
Sergei Kozlov

Most of the water losses occur during water distribution in pipelines during transportation. In order to eradicate the losses, an “IoT based water distribution system” integrated with “Fog and Cloud Computing" proposed for water distribution and underground health monitoring of pipes. For developing an effective water distribution system based on Internet of Things (IoT), the demand of the consumer should be analysed. So, towards predicting the water demand for consumers, Deep learning methodology called Long Short-Term Memory (LSTM) is compared with traditional Time Series methodology called Auto Regressive Integrated Moving Average (ARIMA) in terms of error and accuracy. Now based on demand prediction with higher accuracy, an IoT integrated “Water Distribution Network (WDN)” is designed using hydraulic engineering. This WDN design will ensure minimal losses during transportation and quality of water to the consumers. This will lead to development of a smart system for water distribution.


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