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Infrastructure Asset Management of Urban Water Systems

Chapter 3
Infrastructure Asset Management of Urban Water
Helena Alegre and Sérgio T. Coelho
Additional information is available at the end of the chapter
1. Introduction
Urban water systems are the most valuable part of the public infrastructure worldwide, and
utilities and municipalities are entrusted with the responsibility of managing and expanding
them for current and future generations. Infrastructures inexorably age and degrade, while
society places increasing demands for levels of service, risk management and sustainability.
As many systems reach high levels of deferred maintenance and rehabilitation (ASCE, 2009),
the combined replacement value of such infrastructures is overwhelming, demanding judi‐
cious spending and efficient planning.
Infrastructure asset management (IAM) of urban water infrastructures is the set of processes
that utilities need to have in place in order to ensure that infrastructure performance corre‐
sponds to service targets over time, that risks are adequately managed, and that the corre‐
sponding costs, in a lifetime cost perspective, are as low as possible.
IAM methods partially differ from those applicable to managing other types of assets. One
of the reasons is the fact that such infrastructures have indefinite lives, in order to satisfy the
permanent needs of a specific public service. Infrastructures are not replaceable as a whole,
only piecemeal. Consequently, in a mature infrastructure, all phases of assets lifetime coex‐
ist. Additionally, in network-based infrastructures, it is frequently not feasible to allocate
levels of service to individual components because there is a dominant system behavior (e.g.
symptoms and their causes often occur at different locations).
IAM is increasingly becoming a key topic in the move towards compliance with perform‐
ance requirements in water supply and wastewater systems. Sustainable management of
these systems should respond to the need for:
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Promoting adequate levels of service and strengthening long-term service reliability;
Improving the sustainable use of water and energy;
Managing service risk, taking into account users’ needs and risk acceptance;
Extending service life of existing assets instead of building new, when feasible;
Upholding and phasing in climate change adaptations;
Improving investment and operational efficiency in the organization;
Justifying investment priorities in a clear, straightforward and accountable manner.
2. Overview of current knowledge and practice
Given its origin in the financial sector, where the economic approach is prevalent, the first
significant developments in the field of infrastructure asset management were led by ac‐
countants and economists. In the late 1980s, the South Australia Public Accountants Com‐
mittee published a series of eight reports alerting all Australian governments for the need to
seriously consider the management of their infrastructure if deterioration of valuable public
services were to be avoided (Burns et al., 1999). Following these reports, Prof. Penny Burns,
at the University of Adelaide (Australia), played an crucial role in bringing to attention the
importance of the subject and formalizing key concepts and principles (e.g., Burns, 1990;
Burns et al., 1999). Australian leadership in this field endures to the present day, through
both industry practice and initiatives by organizations such as the Institute of Public Works
Engineering Australia (IPWEA,, the National Asset Management Steering
Group (NAMS,, the Australian National Audit Office (ANAO,, the Asset Management Quarterly International (AMQI,‐, ACORN Inc. ( and the Water Services Association Australia
The Australian and New Zealand AM school is synthesized in the International Infrastruc‐
ture Management Manual, revised and updated periodically (current edition: IIMM, 2011),
which addresses different types of public infrastructures and promotes the Total Asset Man‐
agement Process.
IAM has equally seen significant advances in many other countries, such as in the US (e.g.
Clark et al. 2010; US EPA, 2012), the UK (e.g. IAM/BSI, 2008; UKWIR, 2003) and Portugal
(Alegre and Covas, 2010; Coelho and Vitorino, 2011; Alegre et al., 2011). From a practical
standpoint, very good examples of leading-edge utility practice can be found in Asia (e.g.,
Singapore PUB), and in Central and Northern Europe, such as in the Netherlands (e.g. PWN
- North Holland), Germany (e.g. Munich, Berlin), Norway (e.g. Oslo) or Sweden (e.g. Stock‐
holm, Malmo).
IAM has also registered scientific developments, particularly with regard to algorithms and
tools aiming at supporting pipe rehabilitation prioritization and decision-making. Whole-life
costing (e.g. Skipworth et al., 2002), as well as life time assessment and failure forecasting, are
Water Supply System Analysis - Selected Topics
among the most researched topics (e.g., Sægrov ed., 2005; Sægrov ed., 2006; Malm et al., 2012;
Renaud et al., 2011). From 2005, the biannual LESAM (Leading-Edge Strategic Asset Manage‐
ment) conferences of the International Water Association have clearly demonstrated the in‐
creasing interest and recognition of this field of knowledge (e.g. Alegre and Almeida ed., 2009).
Effective decision-making requires a comprehensive approach that ensures the desired per‐
formance at an acceptable risk level, taking into consideration the costs of building, operat‐
ing, maintaining and disposing capital assets over their life cycles. Brown and Humphrey
(2005) summarize these concepts by defining IAM as “the art of balancing performance, cost
and risk in the long-term”.
IAM is most often approached based on partial views: e.g., for business managers and account‐
ants, IAM means financial planning and the control of business risk exposure (Harlow and
Young, 2001); for water engineers, IAM is focused on network analysis and design, master
planning, construction, optimal operation and hydraulic reliability (Alegre and Almeida ed.,
2009); for asset maintenance managers, the infrastructure is mostly an inventory of individual
assets and IAM tends to be the sum of asset-by-asset plans, established based on condition and
criticality assessment; for many elected officials, since water infrastructures are mostly buried,
low visibility assets, IAM tends to be driven by service coverage, quality and affordability in
the short run. Common misconceptions include reducing IAM to a one-size-fits-all set of prin‐
ciples and solutions, mistaking it for a piece of software, substituting it for engineering technol‐
ogy, or believing that it can be altogether outsourced. In practical terms, many existing
implementations tend to be biased by one or several of these perspectives.
3. IAM as an integrated approach
To avoid the shortcomings inherent to these partial views, integrated IAM approaches are
required, driven by the need to provide adequate levels of service and a sustainable service
in the long-term.
Integrated IAM may be implemented in many different forms. Even for a specific utility and
a given external context, different approaches may be successfully implemented. However,
there are some basic principles commonly accepted in the current leading literature, practice
and standardization (Hughes, 2002; INGENIUM and IPWEA, 2011; Sægrov ed., 2005; Sæ‐
grov ed., 2006; Sneesby, 2010).
An integrated methodology is presented that approaches IAM as a management process,
based on PDCA principles and requiring full alignment between the strategic objectives and
targets, and the actual priorities and actions implemented, embedding the key requirements
of the forthcoming ISO 55000/55001/55002 standards on asset management (ISO, 2012a,
2012b, 2012c). The approach expressly takes into account that a networked infrastructure
cannot be dealt with in the same way as other collections of physical assets: it has a domi‐
nant system behavior (i.e., individual assets are not independent from one another), and as a
whole it does not have a finite life – it cannot be replaced in its entirety, only piecemeal
(Burns et al., 1999). The methodology allows for the assessment and comparison of interven‐
Infrastructure Asset Management of Urban Water Systems 51
tion alternatives from the performance, cost and risk perspectives over the analysis hori‐
zon(s), taking into account the objectives and targets defined (Alegre and Covas, 2010;
Almeida and Cardoso, 2010). In summary, the objective of an integrated approach is to as‐
sist water utilities in answering the following questions:
Who are we at present, and what service do we deliver?
What do we own in terms of infrastructures?
Where do we want to be in the long-term?
How do we get there?
The cube shown in Fig. 1 symbolizes an integrated IAM approach. It advocates that IAM must
be addressed at different planning decisional levels: a strategic level, driven by corporate and
long-term views and aimed at establishing and communicating strategic priorities to staff and
citizens; a tactical level, where the intermediate managers in charge of the infrastructures need
to select what the best medium-term intervention solutions are; and an operational level,
where the short-term actions are planned and implemented. It also draws attention to the need
for standardized procedures to assess intervention alternatives in terms of performance, risk
and cost, over the analysis period. The other relevant message is that IAM requires three main
pillars of competence: business management, engineering and information.
Operational level
Tactical level
Strategic level
Alegre (2 006, 20 09)
Dimensions of analysis
Planning and decision levels
Figure 1. General IAM approach
Water Supply System Analysis - Selected Topics
At each level of management and planning – strategic, tactical and operational a struc‐
tured loop (Fig. 2) comprises the following stages: (i) definition of objectives and targets; (ii)
diagnosis; (iii) plan production, including the identification, comparison and selection of al‐
ternative solutions; (iv) plan implementation; and (v) monitoring and review. Most utilities
already have several elements of this process in place. What is often missing is a review
mechanism – a way to measure compliance with set goals – as well as an effective alignment
between the different management levels.
Figure 2. The planning process at each planning level
Setting up objectives, assessment criteria, metrics and targets is a crucial stage in order to set
up clear directions of action, as well as accountability of results through timely review, with‐
in a given time frame (short, medium or long-term) (ISO 24510:2007, 24511:2007,
24512:2007). These metrics and targets are an essential basis for establishing the diagnosis,
prioritizing intervention solutions and monitoring the results.
The process cascades through the decisional levels within the organization’s management
structure. The global approach is based on plan-do-check-act (PDCA) principles aiming at
the continuous improvement of the IAM process. The key notions in this process are align‐
ment among the decisional levels and their actors; bottom-up feedback; and involvement
and empowerment of the entire organization, from the CEO to the asset operators, in order
to promote leadership, co-ordination, collaboration, corporate culture acceptance, motiva‐
tion, commitment and corporate know-how.
4. From whole-life costing to long-term analysis of indefinite life systems
Comparing intervention alternatives from the financial stand point requires that all relevant
costs and revenues incurred during the asset life be taken into account. The costs in particu‐
lar include such items as design and building costs, operating costs, maintenance costs, asso‐
ciated financing costs, depreciation, and disposal costs. Most of the reference literature on
asset management recommends a whole-life costing approach (also known as life-cycle ap‐
Infrastructure Asset Management of Urban Water Systems 53
proach). However, this is not directly applicable to urban water infrastructures and other
networked infrastructures that have indefinite lives and behave as systems, not as mere col‐
lections of components with independent functionality.
As argued by Burns et al. (1999), infrastructure assets are defined functionally as assets that
are not replaced as a whole but rather are renewed piecemeal through the replacement of
individual components, whilst maintaining the overall function of the system. As a whole,
infrastructure system assets have indefinite lives. Conversely, economic lives can only be as‐
signed to the individual components of an infrastructure system.
However, intervention decisions cannot be made based exclusively on the analysis of each
individual asset. Individual assets cannot deliver a service by themselves, but only as part of
a system or subsystem. The causes of malfunctions are often located away from where the
symptoms emerge. Levels of service cannot be allocated to individual assets, for most of the
infrastructure’s components. Intervention alternatives, aimed at producing the desire defect,
tend to imply jointly modifying a combination of assets, which display different remaining
lives, values, condition, etc..
These two key features the indefinite life of the infrastructure as a whole, and its system
behavior – make the classical life-cycle approach effectively unsuitable to IAM. The objective
is to ensure that the service provided meets the targets over time, keeping the risk in accept‐
able levels and minimizing the overall costs from a long run viewpoint.
How long is "long-term"? Long enough that interventions are given time to reach their infra‐
structural maturity, all the lifecycle stages of the most relevant assets are included in a
meaningful way, and the investments under consideration are rewarded by their accrued
benefits; but not so long into the future as to unreasonably limit the significance of the as‐
sumptions made for the scenarios considered, such as demand or land use projections.
5. Performance, risk and cost
5.1. Performance assessment
As previously mentioned, IAM aims at ensuring that, in a long-term perspective, service
performance is kept adequate, risks incurred are acceptable and the corresponding costs are
as low as feasible. Assessing performance, risk and cost is therefore key to effective IAM.
Performance may translate by either the efficiency or the effectiveness of the service. Per‐
formance assessment is a widespread activity used in economics, business, sports and many
other walks of life in general, in order to compare and score entities and individuals and
take management or other decisions (Alegre et al., 2000, Matos et al., 2003, Alegre et al. 2006,
Cabrera &Pardo, 2008, Sjovold et al. eds., 2008, ISO 24510, ISO 24511, ISO 24512).
Assessment is defined as a “process, or result of this process, that compares a specified sub‐
ject matter to relevant references” (ISO 24500).Performance assessment is therefore any ap‐
proach that allows for the evaluation of the efficiency or the effectiveness of a process or
Water Supply System Analysis - Selected Topics
activity through the production of performance measures. Performance measures are the
specific parameters that are used to inform the assessment. The principal categories of per‐
formance measures include (Sjovold et al. eds., 2008):
Performance indicators, which are quantitative efficiency or effectiveness measures for
the activity of a utility. A performance indicator consists of a value (resulting from the
evaluation of the "processing rule") expressed in specific units, and a confidence grade
which indicates the quality of the data represented by the indicator. Performance Indica‐
tors are typically expressed as ratios between variables; these may be commensurate (e.g.
%) or non-commensurate (e.g. $/m3). The information provided by a performance indica‐
tor is the result of a comparison (to a target value, previous values of the same indicator,
or values of the same indicator from other undertakings) (Alegre et al. 2006; ISO 24500,
Sjovold et al. eds., 2008).
Performance indices, which are standardised and commensurable measures, may result
from the combination of more disaggregated performance measures (e.g. weighted aver‐
age of performance indicators) or from analysis tools (e.g. simulation models, statistical
tools, cost efficiency methods). Sometimes they aim at aggregating several perspectives
into in a single measure (Alegre, 2008, Sjovold et al. eds., 2008).Differently from the per‐
formance indicators, they contain a judgment in itself, intrinsic to the standardization
process (e.g. 0 – no function; 1 – minimum acceptable; 2 – good; 3 – excellent).
Performance levels, which are performance measures of a qualitative nature, expressed in
discrete categories (e.g. excellent, good, fair, poor). In general they are adopted when the
use of quantitative measures is not appropriate (e.g. evaluation of customer satisfaction
by means of surveys) (Alegre, 2008, Sjovold et al. eds., 2008).
Performance indicators may be converted into performance indices through the application
of a performance function, or into performance levels when they are compared with refer‐
ence levels, in order to support interpretation or multi-criteria analyses. Such transforma‐
tions may be particularly useful in the graphical representation of a set of performance
5.2. Risk assessment
Risk analysis may address an organization in its entirety, a system or sub-systems (aggregat‐
ed or lumped analysis), or individual system components(component or discrete analysis).
Risk assessment may be carried out in many different ways, and is often (though not al‐
ways) quantifiable: for instance, if the probability of failure of every pipe in a network is
known, as well as its consequence, expressed in terms of the ensuing reduced service (un‐
met demand), the total risk of not supplying the users may be expressed as the expected val‐
ue of the annual unmet demand (Vitorino et al., 2012).
Risk analysis is a vast field of expertise where several mainstream frameworks have been
developed for infrastructure-based problems, such as fault-tree analysis or the approaches
centered on risk matrices (Almeida et al., 2010). The latter is one of the most versatile and
structured formalisms available when approaching the range of (quantifiable or unquantifi‐
Infrastructure Asset Management of Urban Water Systems 55
able) risks that are faced by urban utilities, and is based on a thorough analysis of risk conse‐
quences and on the categorization into both probability and consequence classes.
Probability classes can be defined by different probability intervals that may be derived,
typically, from linear, exponential or logarithmic functions. The selection of probability
classes is done by the decision maker; the criteria are not only depending on the type of
problem but also on the range of possibilities acceptable to the decision maker, thus related
to her perception of risk. Probability and probability classes are assigned to each individual
component of the system when dealing with a component-based analysis or to an area/
sector when the analysis is focused on an area with specific and known risk features.
Independently of the type of failures that may take place, they can result in a range of poten‐
tial consequences not only to the water infrastructure and services but also to other infra‐
structures. Moreover, consequences can also include socio-economic disruptions and
environmental impacts. Therefore, when assessing the risk associated with a specific event,
several consequence dimensions should be taken into consideration (Table 1).
Dimension Type of variables to express relative value in each class
Health and safety
number and severity of injuries
number and severity of people affected by disease
number of people affected permanently (mortality and disability)
Financial monetary value; should be a function of the size of utility e.g. annual operating
budget (AOB)
Service continuity
Duration of service interruption (availability and compliance with minimum
standards); differentiation of type of client affected can be used (residential,
hospital, firefighting)
Environmental impacts
Severity e.g. expressed as expected time for recovery (long-term “> y years”; mid-
term “x to y years”; short-term “w to v months”; rapid recovery “less than w
Extent (e.g. dimension of area, water quality index, volume or duration of event)
Vulnerability (e.g. protected areas, abstraction areas of influence for water supply)
Functional impact on the system
Various performance measures (e.g. population/clients not supplied for a T
>Dinterruption; client.hours without supply); thresholds can be associated with legal
Reputation and image number of complaints; number of times the name of the utility appears in the
media, …
Business continuity damage to materials, service capacity, available human resources to maintain
system function and recovery time (e.g. % capacity affected.hours)
Project development effect on deviation of objectives (e.g. scope, schedule, budget)
Table 1. Dimensions of consequence (adapted from Almeida et al., 2011)
Water Supply System Analysis - Selected Topics56
Although other classes of consequences may be adopted, a typical classification might look
like this: 1 – insignificant; 2 – low; 3 – moderate; 4 – high; 5 – severe.
The way in which probability and consequence are combined reflects the degree of cautious‐
ness of the analyst, which may vary. Fig. 3 shows a moderate risk perception matrix. A risk
matrix should have at least three risk levels (low, medium and high risks) that are to be as‐
sociated with the acceptance levels of risk: Low or acceptable risk (green); Medium or tolera‐
ble risk (yellow); and High or unacceptable risk (red)(Almeida et al., 2010).
Figure 3. Risk matrixadopting a moderate risk perception
5.3. Cost assessment
Cost assessment is the other fundamental axis of analysis for comparing and selecting inter‐
vention alternatives in an IAM framework. All relevant costs and revenues items that take
place during the analysis horizon and which differ from the status quo, should be accounted
for, for any of the intervention alternatives considered.
The inclusion in the analysis of cost items that are common in nature and value to all alter‐
natives is optional, as they will not have an effect on the comparison but may be useful in
informing it. However, if quantifying the actual net present value or internal rate of return
of a financial project is important to the exercise, then all the relevant costs and revenues
must be included. In practice, it is often the case that rehabilitation interventions do not af‐
fect revenues, and mainly have an effect on system performance, on system risk(by affecting
system reliability) and on capital and operational costs (e.g., repair costs, complaint manage‐
ment, regulatory or contractual service compliance failure).
In general and simplified terms, the main cost items include:
Investment costs, expressed as a given amount at a given point in time, and with a given
depreciation period (if not linear, a depreciation function must be known as well).
Infrastructure Asset Management of Urban Water Systems 57
Operational costs, normally organized in three classes: (i) Cost of goods sold; (ii) Supplies
& external services; (iii) personnel; operational costs are expressed as annual values, over
the analysis period.
Revenues, either through lump sums occurring at specific points in time (e.g. public sub‐
sidies), or distributed over the analysis period (e.g. revenues from tariffs). Revenues are
also expressed by their annual value over the analysis period.
Whenever relevant, the costs of planning and designing new assets, as well as disposal costs
of assets that reach the end of their service lives, should be included.
Since the end of the analysis horizon does not coincide in general with the end of the service
life of most assets, the residual value of all assets at the end of the analysis period must be
Cost-benefit analysis may include not only direct costs and revenues, as described above,
but also indirect (i.e., those that are direct costs for a third party) and intangible costs and
benefits. However, practice shows that utilities often do not feel comfortable in expressing
certain such costs in monetary terms (e.g., increasing public health risk because the water
quality does not meet the targets). An option that is recommended by some approaches
(Alegre et al., 2011) and successfully implemented in a good number of utilities is to express
indirect and costs as performance or risk metrics, and include only direct costs in the cost
axis of the analysis.
6. Strategic, tactical and operational planning
Strategic planning needs to be grounded on the utility’s vision and mission. It should be
built for the entire organization, and it aims at establishing the global and long-term corpo‐
rate directions.
The first stage is the definition by top management of clear objectives, assessment criteria,
metrics to assess them, and finally, targets for every metric. Realistic objectives and targets
require proficient knowledge of the context. In general, this is provided by the monitoring
and feedback procedures in place. If a utility is preparing a strategic plan for the first time,
setting up objectives requires taking into account the available context information, even if
not structured and accurate.
The second stage is diagnosis, consisting of an analysis of external context (global and stake‐
holder-specific) and of the internal context (both organizational and infrastructure), anch‐
ored in the objectives and targets established. The context evaluation should be carried out
through to the planning horizon. SWOT (strengths-weaknesses-opportunities-threats) analy‐
sis is a suitable way to express the results of this stage.
The third stage is the formulation, comparison and selection of strategies that lead to meet‐
ing the targets, given the diagnosis. The results should be expressed in a document, the stra‐
Water Supply System Analysis - Selected Topics
tegic plan, a document that should be synthetic, clear, and effectively disseminated to all
relevant internal and external stakeholders.
The implementation of the strategic plan is ensured by a suitable chain of management,
where the tactical and operational planners and decision makers play key roles. Implemen‐
tation should be monitored periodically (in general, annually). Strategic plans should be
kept up to date, so that global and long-term directions are known and clear to the entire
organization at all times. This may require reviewing and updating every 1/3 to 1/5 of the
plan’s horizon.
Tactical planning and decision-making should be founded on the strategies and on the
strategic objectives and targets. The aim of tactical planning is to define what are the in‐
tervention alternatives to implement in the medium term (typically 3 to 5 years). IAM tac‐
tical planning is not restricted to infrastructural solutions, as it should also consider the
interventions related to operations and maintenance and to other non-infrastructural solu‐
tions. Managing the infrastructure has close interdependencies with the management of
other assets: human resources, information assets, financial assets, intangible assets. The
IAM plan needs to address the non-infrastructural solutions that are critical for meeting
the targets and are related to these other types on assets, e.g., investing in a better work
orders data system.
The key stages of tactical planning are similar to those described for strategic planning. The
objectives, metrics and targets need to be coherent and aligned with the strategic level. Met‐
rics should address all three dimensions of performance, risk and cost.
The diagnosis should be carried out based on the metrics selected, for the present situa‐
tion and for the planning horizon. Due to the system behavior of the water infrastruc‐
tures, there is the need to adopt a progressive system-based screening progress, aimed at
identifying the most problematic areas. In general, the water systems under analysis
should be divided into sub-systems, and the metrics assessed for each of them. The most
problematic are captured and analyzed in more detail. For those that do not display sig‐
nificant overall problems, there is the need to confirm that they do not have relevant lo‐
calized problems. If they do, these localized areas need to be retained as well for detailed
analysis. This screening process leads to the identification of priority areas of interven‐
tion. For these, the diagnosis needs to be more detailed in order for the causes of the
problems to be properly understood. The screening process may not apply to non-infra‐
structural interventions affecting the entire organization (e.g. organizational changes, IT
and information system upgrades).
The next stage is actually producing the plan, and is one of the most work-intensive as it
encompasses the demanding engineering processes involved in identifying and developing
feasible intervention alternatives for each of the subsystems, and the assessment of their re‐
sponses over the analysis horizon for the metrics selected. For each subsystem, the interven‐
tion alternatives need to be compared, and that alternative which best balances the set of
metrics for the chosen objectives, over the long-term, will be selected. The set of best inter‐
ventions alternatives, compatible with the financial resources that can be mobilized and
Infrastructure Asset Management of Urban Water Systems 59
with the planning horizon, will be included in the tactical plan. The plan must make allow‐
ance for the resources needed to implement it.
The detailed diagnosis and the design and analysis of infrastructural and operational in‐
tervention alternatives are not trivial tasks and often require the use of sophisticated mod‐
eling tools. This is where the more advanced research efforts have been centered, such as
mentioned in section 2 (e.g. Skipworth et al., 2002; Sægrov ed., 2005; Sægrov ed., 2006;
Malm et al., 2012; Renaud et al., 2011; Alegre and Almeida ed., 2009).
The last stages of tactical planning are the implementation, monitoring and periodic review
of the plan. Implementation is materialized via operational management. Monitoring and
reviewing are critical for the continuous improvement process. It is recommended that the
tactical plan defines their modes, responsibilities and periodicity. Operational IAM planning
aims at implementing the interventions selected in the tactical level.
7. Long-term balanced design - carrying urban water systems into the
As explained before, the performance of individual components is only relevant inasmuch
as it contributes to system performance. Some components will have more impact on the
system than others, and the behavior of such systems is usually quite complex, giving rise in
the last decades to a whole field of expertise devoted to developing and using network anal‐
ysis models, among the most advanced and useful tools in engineering.
From the viewpoint of infrastructure asset management, the notions of "system design",
"preventive maintenance" and "system rehabilitation" should be seen fundamentally as part
of the same long-term balanced design process.
Even in those parts of the world where service coverage has reached its effective limit, and
designing new systems or system extensions appears to be a thing of the past, it must be
realized that design skills and experience are just as needed in carrying present-day systems
into the future as they once were in creating the first outlines.
Essentially, investing in a system over a period of time should maximize the performance-
risk-cost balance while transforming the system into its ideal for the next 20 or 30 years: that
which best serves the strategic objectives defined for the infrastructure as a whole, as ex‐
plained previously.
If at a strategic IAM level it is common to try to balance conflicting objectives (e.g., im‐
proving the environmental sustainability and reducing costs to ensure economic sustaina‐
bility), at the tactical and operational level, which must be aligned with the former, that is
also the nature of the problem: e.g., water supply reliability is commonly achieved
through pipeline redundancy, which often causes reduced flow velocities and potentiates
water quality issues.
Water Supply System Analysis - Selected Topics
On the other hand, analyzing over long periods of time must account for what is usually a
changing context: societal values and expectations evolve; regulations become more de‐
manding; technologies improve; urban areas progress; the climate and the environment
fluctuate and change; natural resources become scarcer.
The current emphasis on water-energy efficiency is driven by most of the above factors of
change. However, old paradigms are broadly accepted without being questioned. For in‐
stance, drinking water networks are still designed in most developed countries to re‐
spond to fire flows. Is this the most rational approach? In the Netherlands, for instance,
this paradigm is changing. Smaller diameter networks are not only less expensive but al‐
so generally behave better in terms of water quality. Firefighting is ensured from a basic
trunk main grid. If paradigm shifts occur, rehabilitation interventions need to take them
into account.
The fact that most water systems are far from ideal today is a consequence of a growth proc‐
ess that has been forced to react to that changing context over the decades. Most mature sys‐
tems today are not exactly what they would be if we were to start with a clean slate. Yet, it is
common to see preventive maintenance or rehabilitation strategies centered on replacing the
pipes with a higher risk of failure with new pipes of the same size. Would it not make sense
to try to project the best possible system for a given time horizon – 20, 30 years and use
those very same opportunities of intervention to make the present day system gradually
morph into that better design?
The fact is that there are many cases when the water networks are adequately and efficiently
designed and operated, meeting the hydraulic, water quality and energy targets for the
present and for the expected future demands. In these cases, the key driver for rehabilitation
is indeed the risk of pipe failure, usually assessed through the combination of failure proba‐
bility and component importance (in terms of the consequence its failure). Much of the lead‐
ing-edge theory and practice is tailored for these situations, where the like-for-like
replacement strategy fits well.
In classical terms, infrastructures used to be seen as living through a sequence of stages,
from the initial design, through constructing new (or extending), operating, maintaining
and rehabilitating or replacing by new again. This is indeed the typical AM approach for
other types of physical assets. In mature infrastructures, however, all these stages co-exist,
and designing new, extending, maintaining or rehabilitating are fundamentally parts of the
same process.
The IAM framework introduced in sections 3 to 6induces essentially one approach to the
problem, illustrated in Fig. 4 in very simple terms. IAM planning starts from an existing in‐
frastructure and aims at optimizing its behavior over the analysis period, enabling a pro‐
gressive improvement of the infrastructure condition and functional response. In well-
maintained mature infrastructures, this requires that the fair value at the end of the
planning horizon is not lower than the initial value.
Infrastructure Asset Management of Urban Water Systems 61
Figure 4. The long-term balanced design planning process
The drawing board on the right-hand side is initially marked out by the green vertical lines,
representing the metrics for the criteria chosen to drive the analysis. A thorough diagnosis
and assessment of the current system according to those metrics is carried out (represented
by the first blue horizontal at the top).
The planning board is then successively populated with the best available planning alterna‐
tives (represented by the subsequent blue lines). The intersections represent the assessment
of each planning alternative for each metric. The purpose of the process is to fill out the table
to the extent possible.
8. Examples from the industry
8.1. Strategic planning in a midsize utility
The vast majority of water utilities in the world serve populations of less than 100 000. Most
midsize utilities have room for significant improvement in terms of infrastructure asset
management. This specific example arises from Portugal, where the water services regulator
enforces a national system for quality of service assessment, and concerns a midsize utility
in a developed urban area (more detail can be found in Marques et al., 2012). Service cover‐
age is no longer an issue, but the assets are aging, and the service is not as financially and
environmentally efficient as desirable. Quality of service, transparency in investment priori‐
tization and environmental sustainability are the key IAM drivers for the managers.
Water Supply System Analysis - Selected Topics
The utility adopted the objectives and assessment criteria of the regulatory system, as they
were deemed adequate for their own internal strategic purposes. Operating exclusively as a
retail services utility, they selected the applicable metrics and targets from the regulatory
system (Table 2). Each metric is clearly defined, with units, definition, assessment rule and
specification of the input variables.
Taking these objectives into account, a SWOT analysis was carried out (Table 3).
Objectives and criteria Metrics
1. Adequacy of the service provided
1.1 Service accessibility Physical accessibility of the service (WS, WW)
*Economical accessibility of the service (WS, WW)
1.2. Quality of service provided to users *Service interruptions (WS)
*Quality of supplied water (WS)
*Reply to written suggestions and complaints (WS, WW)
*Flooding occurrences (WW)
2. Sustainability of the service provision
2.1. Economic sustainability *Cost coverage ratio (WS, WW)
Connection to the system (WS, WW)
*Non-revenue water (WS)
2.2. Infrastructural sustainability *Adequacy of treatment capacity (WS)
*Mains rehabilitation (WS)
*Mains failures (WS)
*Sewerage rehabilitation (WW)
*Sewer collapses (WW)
2.3. Physical productivity of human resources *Adequacy of human resources (WS, WW)
3. Environmental sustainability
3.1. Efficiency of use of environmental resources *Energy efficiency of pumping installations (WS, WW)
3.2. Efficiency in pollution prevention Sludge disposal from the treatment plants (WS, WW)
*Adequate collected wastewater disposal (WW)
* Emergency overflow discharges control (WW)
Wastewater quality tests carried out (WW)
Compliance with discharge parameters (WW)
WS: water supply services; WW: wastewater services; *adopted by the utility to assess the strategic objectives.
Table 2. Objectives, assessment criteria and metrics of the Portuguese regulatory system
Infrastructure Asset Management of Urban Water Systems 63
- Good information systems on the water supply
- Sufficient information to assess the water supply systems
condition and performance
- Strong competence of human resources
- Relation between information systems and work orders
- Insufficient information systems on wastewater
- Financial restrictions
- Inadequate tariffs
- Poor structural infrastructure condition
- Poor functional infrastructure performance
- Insufficient historical records
- Inadequate quality of data
- Equipment and technologies available to support IAM
- Portuguese regulation by ERSAR *
- Portuguese legislation related with IAM
- Incentives for sustainable use of energy
- Portuguese legislation and regulation by ERSAR*
(increase in costs)
- Political uncertainties
- Economic crisis and financial restrictions
- Demographic development uncertainties
- Illegal cross connections in wastewater systems
* ERSAR: the water and waste services regulator in Portugal
Table 3. SWOT analysis summary
The SWOT analysis results led to the establishment of strategies. For drinking water, the key
selected strategies were Controlwater losses and Promote proactive rehabilitation practices,
whereas for wastewater the strategies established were Reduce untreated wastewater discharges
and Reduce cross connections and infiltration/inflow in wastewater systems. The common strat‐
egies of both types of services were Improve infrastructure information systems and Increase sys‐
tem reliability.
8.2. Tactical planning in a midsize utility
Let us put ourselves now in the position of a middle manager of the same utility, in charge
of infrastructure planning and rehabilitation for the water supply system. Let us take as an
example the strategic objective Improve the efficiency of use of environmental resources (water and
energy), as listed in (see criterion 3.1). The utility’s networks display undesirable failure
rates (pipe breaks) and the energy bill for pumping is higher than would appear reasonable;
the network has unflattering water losses and localized pressure problems during peak con‐
sumption hours remain.
How would we act?
How would we prove that our decisions are effectively addressing the strategic objective?
How would we quantify the impact of our decisions and of subsequent actions?
Water Supply System Analysis - Selected Topics
In traditional AM practice, we would probably start by gathering an updated and reliable
inventory of the existing assets and by compiling as many reliable records as possible of
their condition and failure history. We would try to identify the locations where there are
pressure problems, and we would also look at pump efficiency and energy consumption.
We would probably try to assess the relative importance of each asset. Combining these
types of information, we would prioritize interventions within our budget constraints.
This would contribute to answering the first question. What could be done about the other
two? Fixing pumps and replacing some pipes will undoubtedly contribute to saving water
and energy. But would that maximize the utility of the investment made? A discerning
board might be less than satisfied; and the third question would still remain unanswered.
They might ask some additional questions:
Have we satisfactorily dealt with the hydraulic problems? Were we able to allocate levels
of service to each individual asset when dealing with pressures and water losses?
How did we select the sizes and materials of the new pipes?
Did we assume that the existing network’s configurations (e.g., layout and diameters of
networks, location and characteristics of storage tanks and pumping stations) are ade‐
quate from the energy point of view?
These are the types of issues that a good IAM approach should aim to tackle in a structured,
aligned and transparent way. As a basis for tactical planning, this utility took the strategic
directions previously defined: objectives, targets and strategies. The following tactical IAM
objectives were set:
Increase system reliability in normal and contingency conditions (see criterion 1.2, Table 2);
Ensure economic sustainability (see criterion 2.1,Table 2);
Ensure the infrastructural sustainability of the system (see criterion 2.2,Table 2);
Decrease water losses (see criterion 3.1,Table 2).
At a first stage of tactical planning, the network was evaluated coarsely in its main subdivi‐
sions: trunk main system and supply subsystems (DMAs, or District Metering Areas). The
prioritisation of DMAs with higher intervention needs was based on the assessment of the
selected metrics for all DMAs, not only for the current situation, but also by assessing the
response of the existing systems to the predicted evolution of external factors (e.g., de‐
mands, regulation, funding opportunities, economics).
DMA 542 was in this high priority group, since it failed to comply with most tactical targets. It
supplies a stable and heterogeneous urban area, comprising new and old residential build‐
ings, schools, shops and some commercial areas. It supplies approximately 10,000 people
(4,388 contracts) with a network of approximately 12.5 km of total pipe length, 40% of which in
asbestos cement and the remainder in more recent plastic materials. Water is supplied by grav‐
ity from a service tank at elevation 185 m, and the lowest ground elevation is 107 m.
Infrastructure Asset Management of Urban Water Systems 65
The tactical plan was designed for a 5-year planning horizon (2011-2016). Any envisaged in‐
terventions will have to be scheduled over this period. However, the evaluation was carried
out over a 20-year analysis horizon in order to ensure that the interventions planned are the
best compromise both in the medium-and in the long-term (Alegre et al., 2011). The availa‐
ble investment budget for this DMA allows for the replacement of approximately 1 km of
pipeline per year, for 5 years. Reference assessment timesteps were considered at years 0, 1,
2, 3, 4, 5, 10, 15 and 20 (i.e., 2011 to 2031).
Since this example involves only alternatives related to physical intervention in the infra‐
structure, compliance with the above-mentioned tactical IAM objectives was assessed
through the following performance, risk and cost metrics:
• Inv: investment cost, measured through the net present value at year 0 of the investments
made during the 5-year plan.
• IVI: infrastructure value index (IVI, the ratio between the current value and the replacement
value of the infrastructure (Alegre and Covas, 2010); it should ideally be close to 0.5.
• Pmin: minimum pressure under normal operation index, measuring compliance with the mini‐
mum pressure requirements at the demand locations.
• Pmin*: minimum pressure under contingency conditions index, measuring compliance with the
minimum pressure requirements at the demand locations when the normal supply source
point to this DMA fails and an alternative entry point is activated.
• AC: percentage of total pipe length in asbestos cement; although this metric may seem uncon‐
ventional as a performance indicator, it was selected as a proxy for system resilience, reli‐
ability and ease of maintenance (or the lack thereof), given the poor track record of the
aging asbestos cement pipes in this utility.
• RL: real losses per connection, as defined in the IWA performance indicator system (Alegre
et al., 2006).
• UnmetQ: risk of service interruption. This reduced service metric is given by the expected
value of unmet demand over 1-year period. The risk of service interruption associated to
a specific pipe depends on the likelihood of its failure and on its consequence on the ac‐
tual service. This risk is calculated for each pipe as a combination of failure probability
and component importance.
The values of the metrics were further divided into 3 ranges (good, fair and poor) according
to the thresholds set by the utility, based on the experience of their key staff (Table 4).
The diagnosis of the situation at year 0 using the assessment metrics and associated refer‐
ence values pointed to the following problems:
Reliability of the system: insufficient pressure in normal conditions at some locations; high
pipe failure rates; low system resilience in contingency operation conditions.
Infrastructural sustainability: poor condition (high failure rates) of asbestos cement pipes.
Water losses: high leakage levels.
Water Supply System Analysis - Selected Topics
Good (green) Fair (yellow) Poor (red)
Inv (cost units) [0, 350[ [350, 450[ [450, ∞[
IVI (-) ]0.45, 0.55[ [0.30, 0.45[; [0.55, 0.70[ [0, 0.30]; [0.70, 1]
Pmin (-) [3, 2[ [2, 1[ [1, 0]
Pmin* (-) [3, 2[ [2, 1[ [1, 0]
AC (%) [0, 9[ [9, 15[ [15, 100]
RL (l connection-1 day-1) [0, 100[ [100, 150[ [150, ∞[
UnmetQ (m3/year) [0, 20[ [20, 30[ [30, 100]
Table 4. Multi-criteria reference values
Several system-driven solutions and like-for-like replacement solutions, within the available
budget, were analysed (Marques et al., 2011) and designed to solve or mitigate the problems
identified in the diagnosis, both in-house and through external consultants. The final set of
alternative solutions were summarized as follows (including retaining the status quo):
Alternative A0 (status quo, or base case): corresponds to keeping the existing network as it
is, and retaining the current reactive capital maintenance policy (which in the present case
was based on repairs after break only).
Alternative A1 (like-for-like replacement): an IAM project consisting of a prioritized list of
pipes to be replaced by the same-diameter HDPE pipes. The prioritized list was devel‐
oped externally to the AWARE-P software, following a like-for-like replacement strategy,
using pipe failure and consequence analysis (as in FAIL/CIMP) and an ELECTRE TRI de‐
cisional method, and taking into consideration 3rd-party coordination.
Alternative A2 (system-driven solution): an IAM project based on an ideal redesign for the net‐
work, as if it were built from scratch for the present-day context significantly different from
the actual current network, which was designed and constructed from the 1940s onwards.
This ideal redesign, heavily backed by network modelling, driven by performance and risk
assessments, is viewed by the utility as a future target reference, to be gradually reached by
incrementally changing individual pipes as they are replaced, and by making some key lay‐
out modifications. It addresses the same pipes targeted in A1, but replaces them with new
pipes of optimal diameter (often smaller, as the original network has overcapacity in places);
in Year 5, a new 625 m-long pipeline connecting to a neighbouring DMA is introduced in or‐
der to improve reliability of supply in emergency situations.
The assessment of the three alternatives was carried out for the 5-year planning horizon and
for a 20-year analysis horizon.Table 5 illustrates the results of the selected metrics for the
three alternatives at Year 5. Fig. 5shows snapshots of the 3D view of results, with time, as‐
sessment metrics, and alternatives depicted respectively along the left, right and vertical ax‐
es. The majority of the assessment metrics are constant after year 5 (with the exception of IVI
and UnmetQ), due to the adoption of a constant demand scenario (this is a very stable resi‐
Infrastructure Asset Management of Urban Water Systems 67
dential area),and to having assumed negligible growth of O&M costs. In this case, the com‐
parison and selection of alternatives can be based on the assessment for Year 5.
Assessment metrics
Alternatives Inv
Pmin(-) Pmin *
(l conn.-1 day-1)
A0 0 0.47 2.88 0.00 37.2 116 36
A1 274 0.73 2.88 0.00 1.5 52 22
A4 350 0.70 2.99 2.99 8.5 54 18
Table 5. Case study: results obtained from the evaluation of three alternatives at year 5
(a) All 3 alternatives
(b) Alternative
(c) Alternative A1
(d) Alternative A2
Figure 5. Metric results expressed as a 3D cube; left axis: time; right axis: metrics; vertical axis: alternatives.
Experience shows that it is often less costly simply to repair pipes and pay for the water lost
in leakage than to invest in the rehabilitation of the system. This was confirmed here by
looking at alternative A0 at year 5. However, for the remainder of the analysis period (yrs.
6-20) the problems identified in the diagnosis become increasingly evident, through poorer
network reliability and moderate water losses that tend to intensify due to normal wear.
Water Supply System Analysis - Selected Topics
The results for A1 show that it is generally better than A0 is terms of infrastructural sustain‐
ability, water losses and risk (IVI, AC and UnmetQ). Investment is of course higher than in
A0, but within the available budget. However, A1 perpetuates the design deficiencies inher‐
ent to the existing system (A0).
Alternative A2 aims at realistically and progressively bring the existing network to a config‐
uration closer to the ideal. Its resilience is improved when compared to A0 and A1, as it re‐
inforces the options for supplying the network from an alternative supply point. Investment
costs are higher than for A1 (350 vs. 274cost units). The percentage of asbestos cement pipes
is also significantly reduced (to 8.5%, from 37% for A0). This alternative displays the best all-
round long-term balance of performance, risk and cost, as expressed by metrics that reflect
the tactical objectives, in full alignment with the utility’s strategic objectives.
8.3. Benefits of using a structured IAM approach in the example utility
The adoption of a structured IAM approach in the utility illustrated by this example provid‐
ed proficient answers to all the questions initially formulated:
Using a coherent and aligned system of objectives, metrics and metrics enables the IAM
manager to show that the decisions are effectively addressing the strategic objectives, and
to quantify their impact.
The hydraulic problems were duly taken into account by splitting the whole system into
subsystems and analysing in more detail, including in hydraulic terms, the most problem‐
atic ones.
The selection of sizes and materials for the new pipes was driven by the ability of the existing
network in meeting current and future needs and in minimizing energy consumption.
9. Concluding remarks
Infrastructure asset management of urban water infrastructures will be increasingly critical
in the coming decades. In industrialized countries, particularly those affected by World War
II, the heavy investments in new systems carried out in the 1950’s, 1960’s and 1970’s are ag‐
ing fast, partly due to inadequate or deferred capital maintenance. This places an additional
demand for efficiency in planning for the future. In developing regions, the shortage of fi‐
nancial and technical resources further add to the need for their well-judged, efficient use in
a long-term perspective.
With the current lack of planning and capital maintenance, the services that are taken for
granted in many societies are placed into an increased risk of failure, at least from the view‐
point of the levels of service currently provided.
Regardless of their size, complexity and level of maturity or development, water utilities
need to implement structured IAM approaches that may ensure the sustainable manage‐
Infrastructure Asset Management of Urban Water Systems 69
ment of their systems. There are some key recommendations to be taken into account when
implementing an IAM program:
IAM is all about people – successful implementation requires:
IAM is not implemented overnight. It is an incremental, step by step process that must be
kept as simple as possible with a long-term view. The structured approach recommended
in this chapter aims at identifying intervention priorities, including new organizational
procedures, data management and decision making processes.
Reliable data are the foundation of successful IAM. Before investing on new data collec‐
tion, it is vital to get the most out of the existing data, through proficient recycling, quality
control, analysis and interpretation.
As superfluous as the statement may seem, IAM is not solved or even set in motion by
acquiring a software application.
IAM is an internal process in a utility. Although external expert advice is valuable, it
should be seen as a contribution to an internally driven effort, e.g., in capacity building or
to sort out specific technical issues problems, such as when engineering consultancy is
brought in to develop and advise on infrastructural alternatives to solve given issues.
IAM should not be outsourced.
Water utilities have many common problems and difficulties. Sharingthem, and any solu‐
tions, among peers has always proved to be enriching, effective and highly motivational.
Make it happen – start today!
Author details
Helena Alegre and Sérgio T. Coelho
LNEC - National Civil Engineering Laboratory, Lisbon, Portugal
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Infrastructure Asset Management of Urban Water Systems 73
... According to the ISO24500 standards (ISO, 2007a(ISO, , 2007b(ISO, , 2007c, assessment is a 'process, or the result of this process, comparing a specified subject matter to relevant references'. Regarding this, performance assessment is any approach that permits evaluation of the efficiency and/or the effectiveness of a process or activity using performance metrics (Alegre & Coelho, 2012), such as PI. ...
... PI are composed of a number expressed in specific units, and a confidence grade which indicates the quality of the data represented by the indicator. In general, PI are expressed as ratios between variables; these may be commensurate (e.g., %) or non-commensurate (e.g., €/m 3 ) (Sjovold et al., 2008;Alegre & Coelho, 2012). In the case of non-commensurate ratios, the denominator should represent one dimension of the system (e.g., total water pipe length; annual costs), that allows the comparison through time or between systems of different sizes (ISO, 2007a(ISO, , 2007b(ISO, , 2007c. ...
... PI may be used to calculate performance indices or performance levels, which can be useful in the graphical representation of a set of PI (Alegre & Coelho, 2012). Indices and levels are other categories of performance metrics that may be used in the context of performance assessment (Sjovold et al., 2008;Alegre & Coelho, 2012). ...
Over the past two decades, performance assessment based on performance indicators (PI) has been one of the areas showing the greatest advancement in the water sector. This practice may be defined as any approach that aims to measure effectiveness and/or efficiency of an activity or process using PI, supporting the decision-making process and encouraging the continuous improvement of a water utility. Despite the potential benefits, few projects and initiatives of performance assessment based on PI have been undertaken regarding storm water systems. The present article aims to review studies that have been carried out in the area to provide a state of the art on the subject, understand the applicability of the existing methodologies and their limitations, and to point out future directions. The review revealed that most of the research works were of limited scope, focusing on single storm water systems or some specific aspects of their performance, and also gave an inappropriate definition and selection of PI, compromising their further application. The identified gaps emphasise the need for a new methodology to provide a reference framework in the field. Such methodology should be objective, standardised and well-adapted to different contexts, driven by objectives and criteria and based on PI and targets.
... Performance indicators also serve as mechanisms for benchmarking and prioritisation. However, it has been acknowledged that performance indicators provide an estimation of the status and are therefore precursors for more detailed investigations in the critically identified areas (Alegre 2012;Rokstad 2012). ...
... Furthermore comparisons to a reference value establishes a benchmark state which can be used for assessment between sewer pipe networks (Alegre & Coelho 2012). Malm et al. (2012), recommended a guideline cut-off value for number of blockages per km per year in sewer pipe networks in Sweden of greater than 0.25 per km per year to be classified as having less than good endurance, and blockage rates greater than 0.5 per km per year to be considered as bad. ...
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Sewer networks are expected to operate with minimal or no interruptions. The complex nature of randomly occurring failures in sewer networks arising from blockages significantly adds to the cost of operation and maintenance. Blockages are significant due to sewage backup or basements flooding, resulting from their occurrence. Continuous performance assessment of sewer pipe networks is necessary to ensure a required level of service at an acceptable cost. This study provides insight into the performance of the sewer pipe networks by assessing the proneness of the network to blockages. Furthermore it draws inferences at a holistic strategic level of influential explanatory factors of blockage proneness, using data available in the Swedish Water and Wastewater Association's benchmarking system. Results indicate that medium sized municipalities are prone to at least 30% more blockages per km per year compared to other municipalities. A hypothesis of explanatory factors includes reduced flow volumes, design and flow depth. Flow velocities below self-cleaning velocity in sewer pipe networks, encouraged by sluggishness of flow are responsible for increased possibility for sediment deposition and accumulation in sewers leading to blockages. This is also exacerbated by the deposition of non-disposables (wet wipes, baby diapers, hard paper etc.), accumulation of fats, oils and grease in sewers and increased water conservation measures.
... The process of planning and executing preventive interventions is complex for a number of reasons. Firstly, these interventions are planned on specific objects (e.g., pipes, pumps, etc.); however, the service provided to users is measured at the network level (Alegre and Coelho 2012), thus infrastructure managers need adequate models to estimate the incremental improvement of level of service achieved by executing specific interventions. Additionally, service is often an abstract concept that for WDNs can be potentially measured using hundreds of different performance indicators (Alegre et al. 2016). ...
... The problem of aging and deterioration is a natural tendency of WDN infrastructures. The deferred maintenance and rehabilitation of such assets are associated with overwhelming replacement costs and thus demand judicious spending and efficient planning (Alegre and Coelho, 2012). The lack of standards, guidelines, or best practices highlights the necessity of devising a strategy to prioritize and schedule the maintenance and renewal plans and to spend the allocated limited budget efficiently and effectively (Shahata, 2013). ...
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Water Distribution Network is one of the critical components in water supply systems. Most water systems around the world are subjected to severe aging and deterioration which could lead to disastrous failures or sudden shutdowns. Optimizing maintenance and repair works of these systems triggers the need for a rigorous budget allocation model. In view of this situation, this paper presents a model for optimizing maintenance and replacement of the water networks using a set of metaheuristic algorithms. It introduces a modified invasive weed optimization algorithm to amplify the search mechanism of the classical invasive weed optimization algorithm by enhancing both exploration and exploitation of the hyper search space. The proposed optimization algorithm is validated through comparisons with the particle swarm optimization algorithm, shuffled frog leaping algorithm, and artificial bee colony algorithm. The capabilities of the developed model are exemplified through its application in a case study in Shaker Al-Bahery, Egypt. The results reveal that the proposed method exhibited superior results when compared to the aforementioned algorithms, which eventually leads to the establishment of more efficient decision-making models.
... It is one of the most work-intensive tasks as it encompasses the demanding engineering processes involved in identifying and developing feasible intervention alternatives, as well as the assessment of their response over the analysis horizon for the selected metrics, considering future development scenarios. The diagnosis, design and analysis of infrastructural and operational alter-natives are not trivial tasks and often require the use of sophisticated modelling tools, such as EPANET [7]. ...
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The current paper aims the application of the Portuguese infrastructure asset management (IAM) methodology to a case study. The inevitable degradation of urban water infrastructures creates new challenges for water utilities engineers and manager, as they need to decide which components should be rehabilitated to efficiently match the public’s demand, while still providing a qualitative and efficient service that doesn’t compromise the financial integrity of water utilities. This methodology is based on a five-step structured sequence - (i) definition of objectives assessment criteria and metrics; (ii) diagnosis; (iii) plan production; (iv) plan implementation; and (v) monitoring and revision – being structured in three distinct levels of planning and decision ( i.e ., strategic, tactical and operational). The IAM methodology was applied to a sixty-year-old water supply system (WSS) located in Lisbon’s metropolitan area, Portugal, mainly focused on steps (i) to (iii) and to the tactical level of planning. Results obtained are discussed and the main conclusions are presented.
... Thus, assessing the performance of these systems is crucial to achieve these goals. Performance assessment can be generally defined as Bany approach that allows for the evaluation of the efficiency or the effectiveness of a process or activity through the production of performance measures ( Alegre and Coelho 2012). Performance assessment in irrigation can be defined as Bthe systematic observation, documentation and interpretation of activities related to irrigated agriculture with the objective of continuous improvement^ (Bos et al. 2005). ...
Providing adequate pressure at the hydrant is an issue of great importance in the operation of pressurized irrigation distribution systems (PIDS). The hydraulic performance of these systems can be quantified by selected performance indicators to describe the performance of an irrigation system with regard to the objectives set for that system. Several indicators have been developed and used so far for the performance analysis of pressurized irrigation systems. However, none of them provides a comprehensive definition of the sensitivity of operating hydrants to the variation in the upstream discharge. The objective of this study is to develop an indicator that can quantify the sensitivity of a hydrant to the changes occurring upstream of an irrigation system. A new definition of the indicator is proposed, by considering the changes in the hydrant reliability to the changes in the upstream discharge. In other words, the sensitivity of a hydrant is simulated on the basis of the variation of its reliability to satisfy the required pressure for adequate on-farm service. This concept was applied to a case study in Italy and it showed the importance of the sensitivity indicator as defined herein in the decision-making process for proper operation of pressurized irrigation systems.
... Asset management originated from the financial sector where the economic approach is dominant. IAM was thus originally led by accountants and economists and was first launched in Australia in the late 1980s as a means of preventing the deterioration of valuable public facilities (Alegre and Coelho [3]). ...
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Water and sanitation services in South Africa are characterized by both achievements and challenges. Over the past two decades, the government's main focus has been on the eradication of backlogs with respect to access to basic services, including water and sanitation. However, the government has, over the past decade, reprioritised the planning and implementation of water infrastructure asset management (IAM) systems by water services institutions (WSIs). Well-managed and cared for infrastructure ensures economic growth, social development and environmental integrity. This paper presents an appraisal of water and sanitation IAM systems in South Africa's three urban water utilities: the cities of Johannesburg, Ekurhuleni and Tshwane. Aspects analysed and evaluated were the Asset Inventory and Condition Assessment, Level of Service, Critical Assets, Life-Cycle Costing and the Long-Term Funding Strategy. The study found that the three water utilities have well developed IAM strategies and plans in keeping with national legislation. However, they face funding shortages to implement their plans. Skills shortage is another area of concern. Although it is not severe in metropolitan areas, skills development is still an area that requires a special focus by the utilities. The study sought to understand the current state of IAM practices in these key utilities with the aim of adding to the body of knowledge available and to suggest solutions to challenges being experienced.
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Introduction. The subject of the review is systems of collection and treatment of domestic wastewater in cities, towns, and settlements (drainage systems of residential areas). The review considers both the entire systems and their constituents, i.e., the facilities of wastewater collection and transportation, wastewater treatment plants, water outfalls, etc. Research and design of effective drainage systems is an essential factor in ensuring the ecological well-being of residential areas. The tightening of standards for the discharge of treated wastewater into water bodies stimulates the development of wastewater treatment and transportation technologies not only for large cities but also for small settlements. The purpose of the review is assessing the efficiency of the technologies used in practice for wastewater collection and treatment, analyzing the relevance of research developments, and formulating promising directions of the work. Materials and methods. Publications, technical reports, software products were considered. Methods of system analysis are applied, comparative criteria of efficiency of technologies and designs were suggested. Results. A comparison was conducted between foreign and domestic experience gained in solving the main problems of domestic wastewater collection and treatment systems. Special attention was paid to the revelation of cause-and-effect relations between the upgrade of legislative acts at the state and regional levels and the development of the drainage systems. Evaluation of the ecological impact of the drainage systems on the environment was given. Conclusions. Investigations by domestic and foreign specialists in the subject were analyzed. It was revealed that there is virtually no research devoted to simulation and efficiency assessment of drainage system operation as a whole. Obviously, this is due to insufficient cooperation between research teams and designers and operators. Just this direction should be considered the most promising in the nearest future.
Asset intensive organizations have been adopting internationally recognized asset management principles towards the realization of value from their asset base. This normally involves the grasping of opportunities for an enhanced balancing of costs, risks and performance throughout the life cycle of asset portfolios or asset systems. Depending on the asset management maturity level of the organization, this may be done in a more or less explicit and formal manner. This paper proposes a formal and systematized value-based opportunity management process for asset intensive organizations. It presents the designing of the process and its foundations on the background knowledge of internationally recognized management approaches in the infrastructure industry and on the publications of the scientific and technical communities. The expected benefits and application of the process in multi-sector asset intensive organizations, namely infrastructure organizations with varying levels of asset management maturity, are also discussed.
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Urban water systems are essential tomodern societies, butmanaging themstrategically is a challenge as they require continuous and costly capitalmaintenance to ensure service sustainability.Wise rehabilitation andmaintenance planning are therefore essential. JMarques, AP Saramago,MH Silva, C Paiva, S Coelho, A Pina, SC Oliveira, JP Teixeira, PC Camacho, JP Leitão and ST Coelho present an application of an innovative urban water infrastructure assetmanagement (IAM)methodology, developed by project AWARE-P, to the case of the Oeiras & Amadora water utility (SMAS O&A), where the application of the AWARE-P approach by SMAS O&A contributed to a shift of paradigmwithin the organisation with regard to rehabilitation andmaintenance planning.
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The AWARE-P project aims to promote the application of integrated and risk-based approaches to the rehabilitation of urban water supply and wastewater drainage systems. Central to the project is the development of a software platform based on a set of computational components, which assist in the analyses and decision support involved in the planning process for sustainable infrastructural asset management. The AWARE-P software system brings together onto a common platform the infrastructural geo- referenced data that describe the physical water supply or sewerage systems, as well as a variety of data originating in the several information systems that exist in the water utility corporate environment, such as maintenance and work orders data, billing and costs databases, or network analysis models. Building on those, it makes available an organized set of user- configurable assessment algorithms related to performance, cost and risk, which are used to evaluate alternative system configurations or plann
A paradigm shift is required towards managing urban water services in a more integrated and efficient way, which includes the use of advanced asset management in order to ensure high quality and adequate water supplies in the future. Here, Helena Alegre, Dídia Covas, Sérgio T Coelho, Maria do Céu Almeida and Maria Adriana Cardoso present the AWARE-P R&D project, which aims to produce adequate and effective support tools for assisting urban water utilities in decision making and rehabilitation planning.
Sustainable Infrastructure Management Program Learning Environment (SIMPLE) is a web based asset management knowledge tool set hosted by the Water Environment Research Foundation (WERF). It is an intuitive and user-friendly set of on-line process and practice guidelines, templates and decision support tools designed for asset management practitioners, SIMPLE can: (1) Simplify and guide the development of effective Enterprise-Wide Asset Management plans, and (2) provide practical implementation guidelines for agencies to assess and drive meaningful improvements in asset management for Water and Wastewater Infrastructure. As a knowledge management system, it also makes asset management principles and practices comprehensible and promotes information exchange among practitioners with various needs and experience levels (through chat rooms, technical forums etc.). The SIMPLE on line knowledge base has undergone a favourable peer-review and validation process through a beta testing program involving utility agencies from around the world. WERF and the Water Research Foundation (WRF) have also partnered to create an Asset Management Self Assessment Tool (SAM-GAP) tailored to the North American water utility industry. Through the Global Water Research Coalition (GWRC), WERF and the Water Research Foundation have partnered with other international research organisations, United Kingdom Water Industry Research (UKWIR) and the Water Services Association Australia (WSAA) to create a Benefit-Cost Tool and a Risk Management Tool now incorporated into SIMPLE. Life Cycle Costing, Capital Investment Planning, Asset Registers and Hierarchies, Condition Assessment, Valuation and Failure Mode Analysis are also in development for the future.
Water and Wastewater companies operating all around the world have faced rising asset management and replacement costs, often to levels that are financially unsustainable. Management of investment needs, while meeting regulatory and other goals, has required: These papers developed from LESAM 2007 for inclusion in Strategic Asset Management of Water Supply and Wastewater Infrastructures are focused on the techniques, technologies and management approaches aiming at optimising the investment in infrastructure while achieving demanded customer service standards, and they provide an opportunity to gain access to the latest discussion and developments at the leading-edge in this field. This book will be essential reading for utility operators and managers, regulators and consultants. ISBN: 9781843391869 (Print) ISBN: 9781780401720 (eBook)
Break prediction models can help water utility decision-makers to build pipe rehabilitation programs. For many years, using them has been a specialist matter. After more than 15 years of research into the ageing of water pipes, Irstea (formerly Cemagref) has developed the Linear Extension of the Yule Process (LEYP) model based on counting process theory, which relies not only on a pipe's characteristics and environment but also on its age and previous breaks. It was then decided to develop a break prediction tool usable by water utilities: the 'Casses' freeware. To make this possible, it was necessary to deal with several constraints. To cope with the diversity of available data for various water utilities, flexible input data formats were designed as well as an importation module which checks the conformity and coherence of data. Tools for data management and an advice module dedicated to model calibration were conceived for non-statistician users. The break prediction results can be used directly to compare break evolution with different rehabilitation strategies and they can also feed multicriteria decision tools. In this case, the 'Casses' freeware can work as a 'slave' of the integrated application.
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This paper presents on-going work to develop a system of Performance Indicators (PI) for Wastewater Services and is being undertaken under the auspices of International Water Association (IWA) and coordinated by National Laboratory of Civil Engineering (LNEC), Portugal.