Computers Environment and Urban Systems,
Journal Year:
2020,
Volume and Issue:
86, P. 101570 - 101570
Published: Dec. 16, 2020
Utility
networks
comprise
a
fundamental
part
of
our
complex
urban
systems
and
the
integration
digital
representations
these
across
multiple
spatial
scales
can
be
used
to
help
address
priority
challenges.
Deteriorating
water
utility
infrastructure
low
routing
redundancy
result
in
network
fragility
thus
supply
outages
when
assets
fail.
Water
distribution
configurations
optimised
for
higher
resilience
but
simulations
analyses
are
not
integrated
with
finer
scale
inside
buildings.
This
is
hindered
by
differences
conceptualisation
semantics
employed
relevant
data
standards.
We
suggest
that
geospatial
geometric
contained
Building
Information
Modelling
(BIM)
(WDN)
models
their
integration;
this
supports
use
cases
optimising
dynamic
partitioning,
reducing
risk
underground
strikes
planning
future
topological
redundancy.
In
study,
we
develop
demonstrate
application
weight-based
algorithm
inferring
connections
between
urban-scale
WDNs
BIM
models,
showing
absence
complete
or
consistent
semantic
representations.
method
has
potential
transferability
other
resources
(such
as
waste
water,
electricity
gas)
make
recommendations
such
standardising
representation
connection
points
disjoint
extending
normal
practical
remit
MEP
modelling
encompass
space
buildings
WDNs.
Water,
Journal Year:
2018,
Volume and Issue:
10(4), P. 444 - 444
Published: April 8, 2018
Water
Distribution
Networks
(WDNs)
can
be
regarded
as
complex
networks
and
modeled
graphs.
In
this
paper,
Complex
Network
Theory
is
applied
to
characterize
the
behavior
of
WDNs
from
a
topological
point
view,
reviewing
some
basic
metrics,
exploring
their
fundamental
properties
relationship
between
them.
The
crucial
aim
understand
describe
topology
structural
organization
provide
novel
tool
analysis
which
could
help
find
new
solutions
several
arduous
problems
WDNs.
role
structure
in
functioning.
methodology
21
existing
13
literature
networks.
comparison
highlights
peculiarities
possibility
define
set
best
design
parameters
for
ex-novo
that
also
used
build
hypothetical
benchmark
retaining
typical
real
Two
well-known
types
network
((a)
square
grid;
(b)
random
graph)
are
comparison,
aiming
at
defining
possible
mathematical
model
Finally,
interplay
performance
requirements
discussed.
Water,
Journal Year:
2018,
Volume and Issue:
10(1), P. 45 - 45
Published: Jan. 9, 2018
Cities
depend
on
multiple
heterogeneous,
interconnected
infrastructures
to
provide
safe
water
consumers.
Given
this
complexity,
efficient
numerical
techniques
are
needed
support
optimal
control
and
management
of
a
distribution
network
(WDN).
This
paper
introduces
holistic
analysis
framework
utilities
the
decision
making
process
for
an
supply
management.
The
proposal
is
based
graph
spectral
that
take
advantage
eigenvalues
eigenvectors
properties
matrices
associated
with
graphs.
Instances
these
adjacency
matrix
Laplacian,
among
others.
interest
application
work
specifically
represents
WDN.
complex
made
by
nodes
corresponding
sources
consumption
points
links
pipes
valves.
aim
face
new
challenges
urban
supply,
ranging
from
computing
approximations
performance
assessment
setting
device
positioning
automatic
WDN
division
into
district
metered
areas.
It
consequently
created
novel
tool-set
adapted
improve
main
tasks
simplify
identification
losses
through
definition
partitioning.
Two
WDNs
used
analyze
proposed
methodology.
Firstly,
well-known
C-Town
investigated
benchmarking
framework.
allows
comparing
obtained
results
others
coming
previously
approaches
in
literature.
second
case-study
corresponds
operational
network.
shows
usefulness
optimality
effectively
manage
Applied Network Science,
Journal Year:
2018,
Volume and Issue:
3(1)
Published: Aug. 13, 2018
Water
Distribution
Networks
(WDN)
are
complex
and
highly
interconnected
systems.
To
maintain
operation
under
failure
conditions,
WDNs
should
have
built-in
resilience
based
on
topological
energy
redundancy.
There
various
methods
for
analysing
the
of
either
hydraulic
models
or
surrogate
network
measures;
however,
not
a
single
universally
accepted
method
exists.
Hydraulic
modeling
disruptive
operational
scenarios
suffer
from
combinatorial
restrictions
uncertainties.
Methods
that
rely
measures
do
take
into
account
interactions
between
bridge
this
gap,
presented
work
introduces
hydraulically
informed
measure
pipe
criticality
analysis
WDNs,
called
Flow
Edge
Betweenness
Centrality
(WFEBC).
The
WFEBC
combines
random
walk
betweenness
centrality
with
(energy)
loss
principles
in
pipes.
proposed
estimation
is
applied
to
case
study
an
network.
Furthermore,
decomposition
approach
complement
facilitate
its
scalability
large
networks.
described
benchmarked
against
model-based
WDN
reserve
capacity.
also
assess
improvement
allowed
by
implementation
dynamically
adaptive
topology
benefits
limitations
discussed.
