Reducing Non-Revenue Water
ZAKARIA YEHIA AHMED
Public Works, Civil Engineering, Thebes Academy
Cairo, EGYPT
ORCiD: https://orcid.org/0000-0003-3672-2286
Abstract: Non-Revenue water (NRW) refers to water produced and lost before reaching consumers.
The summary focuses on the importance of reducing Non-Revenue water (NRW), as it increases
water availability and the revenues of drinking water. This reduction is achieved when we install the
flow meters and water pressure devices at water sources or inlets and exits of isolated areas. We can
calculate the amount of water supplied to the area, comparing it with the calculated amount and
determining the volume of water not subject to accounting. To solve this, actions like leak detection
to determine the location of hidden connections and installation of effective water meters.
Supervisory Control and Data Access (SCADA) systems have a role in water management,
providing control and real-time monitoring, early problem detection, improved efficiency, and
support decision making. When we use Supervisory Control and Data Access (SCADA) technology,
we can reduce water losses, ensure reliable water supplies, and contribute to city water management
practices.
Reducing inaccurate billing or theft can increase revenue. Also, reducing physical/real losses, like
leakages or inefficient distribution systems, engage water and wastewater companies to postpone
investment in water resource development. To achieve the challenge, cooperation between
departments such as network operations, hydraulic analysis, and geographic information systems is
required. The commercial sector is important to evaluate and identify the different components that
contribute to reducing water loss (NRW).
Keywords: Non-Revenue water - Geographic Information Systems - Smart Cities - Hydraulic
Analysis - Supervisory control and data access systems - Districts Metered Zone), GIS, Hydraulic
Modeling
Received: February 23, 2023. Revised: February 12, 2024. Accepted: March 13, 2024. Published: April 23, 2024.
1. Introduction
The reduction of Non-Revenue Water
(NRW) loss stands as a major challenge in the
water assiduity and encyclopedically, as
minimizing NRW translates to increased water
vacuity and fiscal earnings. One of the major
issues affecting water serviceability in the
developing world is the significant difference
between the quantity of water introduced into
the distribution system and the quantity of
water billed to consumers, it is also called "no-
income water" (NRW) [1]. For illustration,
abridging marketable losses enhances billing
delicacy, a vital source of fresh profit, while
the reduction of Physical/ Real Losses allows
serviceability to postpone necessary capital
investments in water source development
enterprises. As for Governance, it regards the
successful perpetration of the Strategy. It
requires a few ways (1) set up a devoted PWA
Non-Revenue Water Team;( 2) set up systems
and train the Non-Revenue Water (NRW)
Team;( 3) engage the service providers;( 4) set
up NRW Practitioner Team to give the
specialized advice and help to the lower
service providers to apply the Strategy [2].
The importance of reducing Non-Revenue
water (NRW), as it increases water availability
and the revenues of drinking water [3].
Sustainability includes ensuring that sufficient
safes are available for present and unborn
generations. Water that does not generate
revenue (NRW) creates a precaution for
sustainability through loss of energy and
water. However, there is still a need for a
comprehensive view of non-accounting water
reduction strategies [4]. An important problem
is the high status of non-income water (NRW)
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Zakaria Yehia Ahmed
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or the difference between the volume of
system input and authorized consumption in
the invoice [5] which, for example, amounts to
42 in Nairobi, incompletely because of illegal
connections and poor conservation of the
systems being constructed further than 40
times agone.
, “Assessing non-revenue water and its
factors, A practical approach”. In India 30 to
60% chance of treated and supplied water is
lost during transmission from water service
force to client service connections [6]. Given
the non-supervisory terrain in which Canadian
water agencies operate, some of these benefits
- particularly those that are external to the
agency or that may return to the agency in
periods not yet generated - may not be fully
accounted for when agencies decide to detect
leakage [7]. Utility Management Specialist
works closely with attachment stakeholders
and helps to maintain an effective pace of
design operations despite the complex,
contemporaneous tasks being in each
governorate [8]. Multiple Indian metropolitan
metropolises face severe water, these
metropolises generally have high non-revenue
water (NRW) situations [9]. In Balkan
countries, half of the water volume is being
lost during the distribution process [10]. The
high level of non-income water in Malaysia
(NRW) reduced the capacity of water service
providers to absorb additional water demands
and caused considerable financial pressure on
their investments in water-related structures as
well as operating expenses. - The intention to
reduce water revenues in Selangor [11].
The Non-Revenue Water (NRW) level
serves as a crucial performance indicator for
efficiency. However, many Water Service
Companies (WSCs) tend to "underestimate"
the actual level of non-potable water due to
inaccurate information, insufficient
knowledge, and institutional or political
pressures. Reporting artificially low NRW
levels can mask genuine issues affecting the
effectiveness of drinking water operations.
Therefore, it is imperative to accurately
quantify and size Non-Revenue Water (NRW)
components to validate the reported Non-
Revenue Water (NRW) level.
Despite reports suggesting a 22% NRW
level, the validity of this low figure is
questionable. The discussions with senior
management, record reviews, and field visits
indicate that reported low NRW levels may
result from intentional misinformation or a
lack of accurate data. An audit of Non-
Revenue Water (NRW) components is
necessary to establish a more "reliable"
standard and detect actual issues impacting the
operational efficiency of WSCs. Collaboration
among network operations, hydraulics, GIS,
and the commercial sector is vital for
estimating and quantifying NRW components.
Many reports put the Non-revenue water
(NRW) at 20%; However, this low level of
non-accountable water is questionable. NRW
level is less than 20% as "good," 20% as
"accepted," and more than 25% as
"unacceptable".
Given that each component has a distinct
impact on the Non-Revenue Water (NRW)
value, and the size of the component varies for
a water utility, conducting an NRW audit is
crucial to ascertain the level of each
component. The non-revenue water (NRW)
has five main components: the volume of
system inputs, authorized consumption billed,
unauthorized consumption,
apparent/commercial losses, and real
(material) losses. Networks are divided into
restricted areas (DMA) or larger areas known
as counter-zones (DMZs).
Current challenges in water management,
including water scarcity, old infrastructure,
increased demand, and the need for efficient
resource allocation, are effectively addressed
through SCADA (supervisory control and
access to data). SCADA plays a central role in
real-time surveillance, control, and automation
of water systems. It solves high levels of water
loss due to leaks and inefficient water
distribution by enabling real-time control of
water flow, pressure for early detection, and
better system management, which reduces
non-income water. Replacement and
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renovation of the old water network are
carried out using SCADA and facilitating
maintenance. In the face of increasing
population, SCADA can improve water
distribution by providing different
consumption patterns. SCADA can provide
careful control of water treatment and
distribution processes, ensuring better resource
allocation and effective operation of water
treatment plants. Also, SCADA solves the
challenges of data management and decision-
making through real-time data collection and
analysis and the provision of good information
to decision-makers. In conclusion, SCADA
solves current water management challenges
by providing real-time data, control, and
automation to enhance the efficiency,
reliability, and sustainability of water systems.
2. Implementation
To operationalize the DMZ and Luxor
Non-Revenue Water (NRW) initiatives, the
collaborative efforts of hydraulic analysis,
operation and maintenance, commercial
management, and GIS will include the
following tasks:
- Conducting the Customer Identification
Survey to pinpoint commercial losses among
customers.
- Deployment of the Leak Detection staff to
install pressure and flow meter sensors for
continuous monitoring of the designated zone.
- Implementation of a mobile application
for the seamless transfer of GIS links
connecting customer meters with the
commercial section.
- Using satellite imagery to identify
physical features within the region.
The DMZ component will include a limited
number of fixed Ultrasonic meters, several
sensors of pressure, and a program for
receiving readings from meters. Additionally,
a monitoring server system, data transfer units,
and a software system (SCADA, Fig. 1) will
be integral components of the initiative.
Fig. 1. SCADA monitor program for pressure and
water flow.
The main Devices are Pressure devices,
Flow meters, RTU (Remote Terminal Unit),
Panels and SIM cards.
The presented diagram (fig. 2) illustrates
the interconnections among different sections,
including the hotline, DMZ (Districts Metered
Zone), GIS, Hydraulic Modeling, Operation
and Maintenance, Leak Detection
departments, and Research and Development.
Fig. 2. Linking different sections.
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The diagram illustrates a network setup
incorporating devices like Pressure sensors
and Flow Meters. These devices are linked to
an RTU (Remote Terminal Unit) or a PLC
(Programmable Logic Controller), and these,
in turn, are connected to a router, fig. 3. On
the server, a router is in place to receive data
from the devices and transmit it to the server
and SCADA program for saving data and
analysis.
Fig. 3. Flow Chart for SCADA devices.
2.1. Methodology
To aid water companies in implementing
DMZ, the methodology will be clarified as
follows:
1. Establish criteria for prioritizing DMZs
and selecting the Governorate.
2. Use of the geographic information
systems mobile telephone application
during field surveys to identify clients
and meter locations. This information
can be combined with hotlines,
commercials, and other sections.
3. Define the ultimate GIS maps and
hydraulic model of DMZs.
4. Generate maps for water stations,
including inlets and outlets of the zone.
5. Conduct field verification to ensure
that GIS maps align with and are
suitable for the as-built conditions.
6. SCADA staff use templates using the
internet to send data.
7. Incorporate satellite images into the
process.
8. Provide training for staff on using the
mobile program and downloading
satellite scenes.
2.2. The Activities
1. Form teams from contributing
departments (such as Network O&M,
NRW, Hydraulic Analysis, GIS and
Commercial).
2. Provide an orientation for the teams on
the program's goals, mission, and
objectives.
3. Choose a pilot zone of the water balance
and GIS mapping based on predefined
criteria.
4. Deliver the training for the contributing
sections.
5. Develop a database of water networks,
GIS, billing, meter readers, and collectors.
6. Update the customer database, integrate
comprehensive data on communications,
clients, and numbers, and integrate the
information collected during field surveys
into an updated map. This includes details
such as connections, water pipeline tracks,
pipeline diameter, materials, customer
names and numbers, consumption
classification (residential, commercial, and
industrial), and meter.
7. Provide technical training for the leak
detection crew, focusing on the use of leak
detection equipment to obtain readings of
flow and pressure measurements.
8. Interference with business losses,
addressing problems such as replacing
defective meters, dealing with illegal
deliveries, updating meter readings, and
dealing with government clients.
9. Map the location of leaks on the GIS
map.
10. Conduct repairs for the identified leaks
with the water network team.
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11. Perform pressure and flow
measurements in the selected area after
repairing the identified leaks in its
network.
12. Analyze both commercial and physical
data.
3. The Results
3.1. Presentation of Charts and Data
1. Clarification of connection status is very
necessary, indicating whether the connection
exists or not.
2. Display signal status from flow meters and
pressure sensors, indicating malfunctions or
lack thereof, or issues with the devices.
3. Inclusion of buttons to directly access
reports and charts.
4. Reprogramming of the program interface to
feature many screens, where feeders of
stations of the branch are plotted on maps
instead of table view only.
3.2. Presentation of Historical Data
1. Display of monitored data for the signals
(call status and warning signals).
2. Saving and linking data to dedicated data
like a MySQL database.
3. Utilization of the displayed monitoring data
as a basis for creating various reports,
conducting analysis, and charts.
3.3. Presentation of Trends in Data
Measured
1. Displaying the changes in values of periods
preceding all signals to illustrate variations in
measured values during previous periods.
2. Analysis of the curve values based on the
duration to be presented to the curve.
3.4. Report Generation
1. Establishment of reports for all signals,
including the status of communications, which
is a key function.
2. Establishment of various types of reports,
including daily reports showing total behavior
and average pressure per hour per day,
monthly reports reflecting overall behavior
and average pressure per day, as well as
annual reports.
Table 1. NRW for District Metered Zones
Table 1 illustrates the decrease in %NRW in
district-metered zones after implementing
SCADA systems from the year 2020 to 2022.
3.5. SCADA Systems
1. SCADA (Supervisory Control and Data
Access) systems are useful for water
management in smart cities. The following
points highlight their importance:
2. Real-time surveillance and control: SCADA
systems allow operators to control and control
the various components of the water supply
system in real-time.
3. Early detection of problems: SCADA
systems facilitate early detection of abnormal
cases, such as leaks or malfunctions, allowing
for rapid maintenance.
4. Improved efficiency and improved
resources: SCADA systems provide insights
into water use patterns, helping to improve
distribution and implement demand
management strategies.
5. Enhancing resilience and disaster response:
SCADA systems enhance infrastructure
resilience by providing real-time situational
awareness during emergencies.
6. Data analysis and decision support: SCADA
systems create data for analysis and support
informed decision-making for proactive
maintenance and long-term planning.
The SCADA application should encompass
main functions such as charts, history of data,
Alarms, Reports, Trends, and Security, as
depicted in the following figure (fig. 4).
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Fig. 4. The functions of the application.
4. Conclusion
A study of the western area of the city of Esna
in Luxor governorate was conducted during
April and May 2021 before the meter was
installed, and in 2022 after the meter was
installed, the notes were as follows:
In April 2021, the total water production for
the region of Esna was 2,092,181 (Luxor
Water Company). In April 2022, the
production of total water was 1,956,020
(SCADA program). Notably, there was a
reduction in productivity of approximately 7%
in April.
For May 2021, the total water production in
western Esna was 2,120,272 (Luxor Water
program). In May 2022, the total water
production decreased to 1,834,355
(SCADA system). The reduction in
productivity for May was around 13%.
These findings highlight the percentage
calculation of the losses and non-accountable
water, emphasizing that this calculation can be
more accurate after the installation of the
equipment and improved operation of the
SCADA program compared to calculations
conducted before these measures were
implemented, as in table 2.
Table 2. Results
5. The Recommendations
1. Expanding the operation of SCADA and
DMZ to encompass all fresh governorates. 2.
It’s pivotal to suffer training on SCADA and
device conservation to enhance chops. 3.
Supplying the needful bias, similar to inflow
measures and pressure detectors, to extend the
content of DMZ to all the governorates. 4.
The objectification of artificial intelligence
(AI) is poised to offer enhanced perceptivity in
SCADA network exertion, easing further
effective responses to implicit pitfalls. 5. The
growing application of IoT (Internet of
Effects) bias and detectors within SCADA is
anticipated to induce substantial quantities of
data, which can be anatomized with advanced
data.
References
[1] Bill Kingdom, Roland Liemberger,
Philippe Marin, The Challenge of Reducing
Non-Revenue Water (NRW) in Developing
Countries-WATER SUPPLY AND
SANITATION SECTOR BOARD
DISCUSSION PAPER SERIES,
https://documents1.worldbank.org/curated/en/
385761468330326484/pdf/394050Reducing1e
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Volume 6, 2024
0water0WSS81PUBLIC1.pdf, Last accessed:
1 st April, 2024.
[2] Food and Agriculture Organization of
the United Nations, Non-revenue Water
(NRW) Reduction Strategy, 2023,
https://www.fao.org/faolex/results/details/en/c
/LEX-FAOC180193/. Last accessed: 11th
April 2024.
[3] Hatem Taha AbuEltayef; Khaldoun S.
AbuAlhin; Khalil M. Alastal, 2023 ,
Addressing non-revenue water as a global
problem and its interlinkages with sustainable
development goals,
https://doi.org/10.2166/wpt.2023.157, Water
Practice and Technology (2023), Volume 18, Issue
12, pp. 31753202
[4] Abdelrahman Farouk, Rahimi A.
Rahman, Noor, 2021, Non-revenue water
reduction strategies, a methodical review ,
DOI:10.1108/SASBE-04-2021-0071,Smart
and Sustainable Built Environment, Volume
12 No. 1, pp. 181-199.
[5] Lambert, Assessing non-revenue water
and its components, 2003, Water21, Vol. (Aug.),
51-52.
https://www.researchgate.net/publication/2931
26504_Assessing_non-
revenue_water_and_its_components_A_practi
cal_approach, Last accessed: 1 st April, 2024.
[6] B. Rajasekhar,G. Ramana,G.
Viswanadh, 2018, Assessment of non-revenue
water and its reduction measures in Civic
water distribution systems, International
Journal of Civil Engineering & Technology,
Volume 9, Issue 6, June 2018, pp. 10791087
[7] Steven Renzetti, Diane Dupont, The
Economics of Leak Detection and Water Loss
Prevention in Ontario, 2013, Environmental
Sustainability Research Centre (ESRC)
Working Paper Series ESRC-2013-001
https://citeseerx.ist.psu.edu/document?repid=r
ep1&type=pdf&doi=42bf1f6fbbd191d45913b
481d819eb5cced10281, Last accessed: 2nd
April, 2024.
[8] Tetra Tech, USAID Egypt, Non-
Revenue water investigation & loss control
program, 2023,
https://seguraconsulting.net/egypt-iwssta, Last
accessed: 1 st April, 2024.
[9] Adithya Bandari, Shubhajit Sadhukhan,
Efficiency of non-revenue water reduction in
improving water supply performance in Indian
metropolises, 2023, Water Supply (2023) 23 (5):
19171934
https://www.researchgate.net/publication/3697
41019_Efficiency_of_non-
revenue_water_reduction_in_improving_wate
r_supply_performance_in_Indian_metropolise
s. Last accessed: 1 st April, 2024.
[10] Abdullah Murrar, The Determinants of
Non-Revenue Water in Balkan Countries”,
American Journal of Water Science and
Engineering, 2017, Vol. 3, No. 2, 2017, pp.
18-27
https://www.researchgate.net/publication/3155
16751_The_Determinants_of_Non-
Revenue_Water_in_Balkan_Countries, Last
accessed: 3 rd April, 2024.
[11] Ong Shelley Tze Xien, MPhil Chong
Shyue Chuan, DPhil Sia Bik Kai, MAppStat,
2022, Understanding the determinants of
public non-revenue water (NRW) reduction
intention in Selangor, Proceedings of the
Institution of Civil Engineers- Water
Management, ISSN 1741-7589 | E-ISSN
1751-7729, Volume 175 Issue 1, pp. 34-51
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Conflict of Interest
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