scholarly journals Analysis of water distribution systems and head losses using the hardy-cross method

2022 ◽  
Vol 955 (1) ◽  
pp. 012029
Author(s):  
C S Silvia ◽  
M Safriani ◽  
M Ikhsan ◽  
U Rauza
Keyword(s):  
High Pressure ◽  
Water Consumption ◽  
Pressure Loss ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Pressure ◽  
Primary Data ◽  
Survey Method ◽  
Peak Time ◽  
Hardy Cross

Abstract Distribution services have not been running optimally at PDAM Tirta Meulaboh, that This study aims to determine the level of pressure loss in the PDAM’s clean water pipe network. The method used in this research is a quantitative descriptive survey method supported by primary data and secondary data. Calculation of the amount of pressure loss using the hardy cross method. The results showed that the observed value of discharge with the highest water consumption was at 18:00 WIB at 0.172 m3 / person, while for the lowest use was at 14:00 WIB at 0.119 m3 / person. It can be concluded that this time is the peak time for water consumption. High-pressure water where the maximum average is 0.00000599 m, because high pressure is not adequate. The maximum loss of high pressure is found in the loop (VII) of 2.57025 m or 0.257025 atm, for the minimum pressure there is in the loop (VI) of - 0.00024 m or -0.000024 atm. It is necessary to re-evaluate the distribution network system by PDAM such as surveys to find out the causes of high water pressure losses to customers such as surveys for water leaks in distribution pipes, replacing old pipes.

scholarly journals Burst Detection in Water Distribution Systems: The Issue of Dataset Collection

2020 ◽  
Vol 10 (22) ◽  
pp. 8219
Author(s):  
Andrea Menapace ◽  
Ariele Zanfei ◽  
Manuel Felicetti ◽  
Diego Avesani ◽  
Maurizio Righetti ◽  
...  
Keyword(s):  
Water Supply ◽  
Water Consumption ◽  
Distribution System ◽  
Smart Grids ◽  
Distribution Systems ◽  
Water Distribution ◽  
Stochastic Modelling ◽  
Water Supply Systems ◽  
Consumption Data ◽  
Supply Systems

Developing data-driven models for bursts detection is currently a demanding challenge for efficient and sustainable management of water supply systems. The main limit in the progress of these models lies in the large amount of accurate data required. The aim is to present a methodology for the generation of reliable data, which are fundamental to train anomaly detection models and set alarms. Thus, the results of the proposed methodology is to provide suitable water consumption data. The presented procedure consists of stochastic modelling of water request and hydraulic pipes bursts simulation to yield suitable synthetic time series of flow rates, for instance, inlet flows of district metered areas and small water supply systems. The water request is obtained through the superimposition of different components, such as the daily, the weekly, and the yearly trends jointly with a random normal distributed component based on the consumption mean and variance, and the number of users aggregation. The resulting request is implemented into the hydraulic model of the distribution system, also embedding background leaks and bursts using a pressure-driven approach with both concentrated and distributed demand schemes. This work seeks to close the gap in the field of synthetic generation of drinking water consumption data, by establishing a proper dedicated methodology that aims to support future water smart grids.

scholarly journals A Pressure Monitoring System for Water Distribution Networks Based on Arduino Microcontroller

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2321
Author(s):  
Federica Bruno ◽  
Mauro De Marchis ◽  
Barbara Milici ◽  
Domenico Saccone ◽  
Fabrizio Traina
Keyword(s):  
Monitoring System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Pressure ◽  
Distribution Networks ◽  
Water Utilities ◽  
Water Distribution Networks ◽  
Prototype System ◽  
Pressure Monitoring ◽  
Arduino Microcontroller

Efficient management of water distribution networks (WDNs) is currently a focal point, especially in countries where water scarcity conditions are more and more amplified by frequent drought periods. In these cases, in fact, pressure becomes the fundamental variable in managing the WDNs. Similarly, WDNs are often obsolete and affected by several points of water losses. Leakages are mainly affected by pressure; in fact, water utilities usually apply the technique of pressure management to reduce physical losses. It is clear how pressure plays a fundamental role in the management of WDNs and in water safety. Even though the technologies are quite mature, these systems are often expensive, especially if a capillarity monitoring system is required; thus, water managers apply the measurement of the flow rate and pressure at very few points. Today, the implementation of the Internet of things (IoT) can be considered a key strategy for monitoring water distribution systems. Once the sensors are installed, in fact, it is relatively easy to build a communication system able to collect and send data from the network. In the proposed study, a smart pressure monitoring system was developed using low-cost hardware and open-source software. The prototype system is composed of an Arduino microcontroller, a printed circuit board, and eight pressure transducers. The efficiency of the proposed tool was compared with a SCADA monitoring system. To investigate on the efficiency of the proposed measurement system, an experimental campaign was carried out at the Environmental Hydraulic Laboratory of the University of Enna (Italy), and hydrostatic as well as hydrodynamic tests were performed. The results showed the ability of the proposed pressure monitor tool to have control of the water pressure in a WDN with a simple, scalable, and economic system. The proposed system can be easily implemented in a real WDN by water utilities, thus improving the knowledge of pressure and increasing the efficiency level of the WDN management.

scholarly journals Analysis of MNF and FAVAD Models for Leakage Characterization by Exploiting Smart-Metered Data: The Case of the Gorino Ferrarese (FE-Italy) District

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 643
Author(s):  
Irene Marzola ◽  
Stefano Alvisi ◽  
Marco Franchini
Keyword(s):  
Time Series ◽  
Water Balance ◽  
Water Consumption ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Utilities ◽  
Time Step ◽  
Minimum Night Flow ◽  
The Relationship ◽  
District Metered Area

Leakages in water distribution systems have great economic and environmental impacts and are a major issue for water utilities. In this work, the water balance and the Minimum Night Flow (MNF) method for evaluating the amount of water loss, as well as the power and Fixed and Variable Area Discharge (FAVAD) equations for analyzing the relationship between leakage and pressure, were applied to a fully monitored District Metered Area (DMA) located in Gorino Ferrarese (FE, Italy). Time series of (a) the water consumption of each user, (b) the DMA inflow, and (c) the pressure at the DMA inlet point were monitored with a 5 min time step. The results of an analysis carried out by exploiting the collected time series highlighted that: (a) The application of the MNF method based on literature values can lead to significant inaccuracies in the presence of users with irregular consumption, and (b) the estimation of the parameters of the power and FAVAD equations is highly affected by the amounts and types of observed data used.

Sustained effectiveness of automatic chlorinators installed in community-scale water distribution systems during an emergency recovery project in Haiti

2016 ◽  
Vol 6 (4) ◽  
pp. 602-612 ◽  
Author(s):  
Justine Rayner ◽  
Travis Yates ◽  
Myriam Joseph ◽  
Daniele Lantagne
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Water Pressure ◽  
Water Distribution Systems ◽  
Management Systems ◽  
Mixed Methods Evaluation ◽  
Key Informant ◽  
Effective Community ◽  
Child Relief ◽  
Infrastructure Maintenance

In 2012 and 2013, as part of relief-to-recovery programming, Child Relief International partnered with Haiti Philanthropy to install automatic tablet-based chlorinators in 79 gravity-fed water distribution systems in Southeast Department, Haiti. We carried out a mixed methods evaluation to assess sustained effectiveness of chlorinators approximately two years after installation, including 18 site assessments of chlorinators and distribution systems, 180 surveys of households served by those systems and 17 key informant interviews. We tested for free chlorine residual and Escherichia coli in samples collected from sources, reservoirs, water access points, and treated and untreated household stored water. We found: 83% of chlorinators were in operational condition, although water pressure was sufficient to operate chlorinators at only 56% of sites; 0% of chlorinator sites had tablet stock; and, while 86% of households reported using water from distribution systems with a chlorinator, 0% of household drinking water was safe to drink because of chlorinators. Reasons why the chlorinator project did not achieve intended sustained effectiveness included: lack of accountability for infrastructure maintenance; lack of tablet access; and lack of effective community management systems. We recommend future implementers of centralized water treatment systems in relief-to-recovery contexts consider these three components necessary for sustainability.

A simple forecast technique for estimating the statistical characteristics of water consumption

2014 ◽  
Vol 14 (4) ◽  
pp. 593-600
Author(s):  
József Bene ◽  
Dávid Bóka ◽  
Csaba Ho˝s ◽  
Varga Roxána
Keyword(s):  
Water Consumption ◽  
Distribution Systems ◽  
Water Distribution ◽  
Computational Cost ◽  
Real Life ◽  
Forecast Model ◽  
Mean Value ◽  
Statistical Characteristics ◽  
Prediction Errors ◽  
Life Problems

The forecast water consumption values are the most critical input data in the pump schedule optimization of water distribution systems. The aim of this paper is to present a simple technique which is able to estimate the mean consumption and its distribution for a given demand zone with an hourly resolution. Simplicity (low computational cost) is advantageous since the forecast model needs to be run for any optimization computation. The proposed technique uses a recorded hourly consumption database and consists of two steps. First, the database content is automatically grouped based on the similarity of the elements (more precisely, their normality). This step is time-consuming but is performed only once for a given database independently of optimization. The second step – which is quick but has to be performed before the actual optimization – makes use of this grouping for forecasting mean value and standard deviation. The proposed technique provides hourly water consumption predictions independently; that is, the neighbouring hours do not effect each other, which prevents the accumulation of prediction errors. The daily overall consumption is computed a posteriori. The test results presented in this paper prove the applicability of the technique for real-life problems. Moreover, it is demonstrated that the confidence interval provided by the technique includes the actual measured data.

scholarly journals Deficiencies in drinking water distribution systems in developing countries

2005 ◽  
Vol 3 (2) ◽  
pp. 109-127 ◽  
Author(s):  
Ellen J. Lee ◽  
Kellogg J. Schwab
Keyword(s):  
Developing Countries ◽  
Drinking Water ◽  
Distribution System ◽  
Urban Areas ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Pressure ◽  
Drinking Water Treatment ◽  
Human Consumption ◽  
Drinking Water Distribution Systems

Rapidly growing populations and migration to urban areas in developing countries has resulted in a vital need for the establishment of centralized water systems to disseminate potable water to residents. Protected source water and modern, well-maintained drinking water treatment plants can provide water adequate for human consumption. However, ageing, stressed or poorly maintained distribution systems can cause the quality of piped drinking water to deteriorate below acceptable levels and pose serious health risks. This review will outline distribution system deficiencies in developing countries caused by: the failure to disinfect water or maintain a proper disinfection residual; low pipeline water pressure; intermittent service; excessive network leakages; corrosion of parts; inadequate sewage disposal; and inequitable pricing and usage of water. Through improved research, monitoring and surveillance, increased understanding of distribution system deficiencies may focus limited resources on key areas in an effort to improve public health and decrease global disease burden.

scholarly journals Models for forecasting water demand using time series analysis: a case study in Southern Brazil

2021 ◽  
Author(s):  
Danielle C. M. Ristow ◽  
Elisa Henning ◽  
Andreza Kalbusch ◽  
Cesar E. Petersen
Keyword(s):  
Time Series ◽  
Water Consumption ◽  
Water Demand ◽  
Web Application ◽  
Water Resource Management ◽  
Distribution Systems ◽  
Water Distribution ◽  
Demand Forecasting ◽  
Model Quality

Abstract Technology has been increasingly applied in search for excellence in water resource management. Tools such as demand-forecasting models provide information for utility companies to make operational, tactical and strategic decisions. Also, the performance of water distribution systems can be improved by anticipating consumption values. This work aimed to develop models to conduct monthly urban water demand forecasts by analyzing time series, and adjusting and testing forecast models by consumption category, which can be applied to any location. Open language R was used, with automatic procedures for selection, adjustment, model quality assessment and forecasts. The case study was conducted in the city of Joinville, with water consumption forecasts for the first semester of 2018. The results showed that the seasonal ARIMA method proved to be more adequate to predict water consumption in four out of five categories, with mean absolute percentage errors varying from 1.19 to 15.74%. In addition, a web application to conduct water consumption forecasts was developed.

Stochastic simulation model of water demand in residential buildings

2019 ◽  
Vol 41 (5) ◽  
pp. 544-560
Author(s):  
Tiago de VG Ferreira ◽  
Orestes M Goncalves
Keyword(s):  
Flow Rate ◽  
Water Consumption ◽  
Water Demand ◽  
Distribution Systems ◽  
Water Distribution ◽  
Residential Buildings ◽  
Water Distribution Systems ◽  
Simulation Models ◽  
System Components ◽  
Stochastic Simulation Model

Over the years, researchers have been conducting studies to investigate the water consumption profile in buildings; these studies have contributed to the accumulation of knowledge regarding the correct sizing of hydraulic systems in buildings. In the context of the methods for the characterization of system demand or loading values, the procedures commonly employed to obtain the project flow rate were primarily proposed in the mid-20th century. These models require revision and adaptation to the current water consumption values. In recent years, certain researchers have proposed simulation models with an application focus on water distribution systems owing to the random and temporal behavior of water demand in this system type. In this study, a water-demand stochastic simulation model in residential buildings is proposed, which encompasses the behavioral modelling of users and their interaction with the system to improve the design process of water distribution systems. Therefore, geographical and population factors (quantity, distribution, and organization) were considered for the behavioral modelling of users; regarding the system modelling, aspects related to the hydraulic system were considered, such as the relation between system components, the type of sanitary appliance, and the number of available devices. Different simulations—with several different types of showers—were conducted using the proposed model. Comparing the flows obtained from the simulation and from the Brazilian standard, for all system components, the decrease in the project flow rate varied from 4% to 61%. In terms of material consumption regarding the pipe (PVC), the decrease varied from 25% to 63%. Practical application: When assessing potential designs for components in water distribution systems in buildings robust information is required for water demand across different time scales. The use of simulation models represents an important advance for the dimensioning process of these components, since it is possible to know a wider range of information about the system demand possibilities. The use of this type of model, as discussed in this article, will equip the designer with an enhanced decision making capacity.

scholarly journals The Ready System of Clean Water for Population in Musuk District to Respon Dry Season

2017 ◽  
Vol 19 (1) ◽  
pp. 81 ◽  
Author(s):  
Yuli Priyana ◽  
Dina Safriningsih
Keyword(s):  
Water Consumption ◽  
Secondary Data ◽  
Research Area ◽  
Dry Season ◽  
Primary Data ◽  
Survey Method ◽  
Clean Water ◽  
Know How ◽  
Plain Area ◽  
High Area

This research about ready system of clean water in District of Musuk, Sub-Province of Boyolali. This research aim to study how ready system of clean water, research area especially of dry season. That wish to know how much amount of resident drinking water consumption at area District of Musuk. The method of research in this research is survey method. The data which collected in this research consist of primary data result of interview by 150 responded (head of house hold) and perception in field. Secondary data an obtain from governmental institution, books, other resource person and reference related to this topic of research. Intake of sample done with area of random sampling, to know the target of research to description analyses and tabulation. The result of research indicate that ready system of clean water at dry season most relying on rainwater with accommodating the rainwater at pools, besides to overcome water of water supply of rain of society buy water of springs pass tank truck, small to partly use surface water and also of PDAM. Water consumption at mean dry season 48.47 liter/day/capita. But at high area (volcanic slope) its slimmer consumption in comparing plain area of Fluvial foot/feet of Volcano.

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