This chapter presents the drinking water system and its main challenges. Then it presents the concept of the Smart Water System (smart sensors, data collection, data analysis,..). Finally, the smart water system is presented through the project SunRise (Large scale demonstrator of the Smart City”
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Chapter4 smart drinking water AUST 2015
1. Sustainable
and
Smart
City
:
AUST
Summer
Course
Chapter
4
:
Smart
drinking
water
Professor
Isam
SHAHROUR
Isam.shahrour@univ-‐lille1.fr
2. • Water
key
figures
• Drinking
water
system
• Smart
water
system
• Smart
water
pilot
4
Parts
3. In
the
world
Cost
of
the
water
supply:
184
billion
€
Cost
of
leakage
=
9.6
billion
€
4. France
Drinking
Water
network
• 906
000
km
(value:
~
80
billion
€)
• Annual
investment
=
1.5
billion
€
Sewage
network
:
•
394
000
km
(~
70
billion
€)
• Annual
investment
=:
0.8
to
1.3
billion
€
Ÿ
5. • Average
life
span
of
a
pipeline:
~
70
years
• Average
age
of
pipes:
~
40
years
(more
than
100
years
for
some
pipes)
• Average
renewal
rate
=
0.6%
France
9. Lebanon
has
potenKally
sufficient
water
resources
to
meet
domesOc
demand.
Transforming
resources
into
quality
drinking
water
suffered
from
lack
of
investments
in
the
infrastructures.
Water
Service
in
Lebanon
10. 1) Water
resources
are
overexploited
due
to
excessive
pumping.
There
are
an
esOmated
40,000
private
wells,
compared
with
3,000
in
1970
which
is
factor
in
contaminaOon
of
the
groundwater
by
seawater.
Most
of
these
wells
are
Illegal
Factors
contribuKng
to
the
poor
water
quality:
11.
2)
inadequate
provision
of
sanitaOon
services
has
led
to
polluted
streams,
rivers
and
aquifers.
Up
to
70%
of
natural
sources
are
affected
by
bacterial
contaminaOon.
MulKple
factors
contribute
to
poor
water
quality:
12. 3)
Absence
of
water
metering
Without
a
metering
system,
supply
and
demand
is
de-‐linked
at
the
household
level:
the
amount
of
water
provided
to
each
household
is
unrelated
to
the
amount
of
water
a
household
would
consume
and
pay
for.
13. • Water
key
figures
• Drinking
water
system
• Smart
water
system
• Smart
water
pilot
4
Parts
22. Challenges
:
1) Water
quality
:
contaminaKon
(biological,
chemical)
could
occur
at
:
• The
Source
(strict
control)
• TransportaOon
from
the
treatment
staOon
to
the
tank
(strict
control)
• TransportaOon
from
the
tank
to
consumers
(Control
at
large
Ome
interval)
23. Challenges
:
2)
Water
leakage
:
• In
the
pipes
(provider
responsibility)
(in
ciOes
it
could
take
long
Ome,…)
• In
buildings
(the
owner
responsibility)
24. Tap drip
43,8 m3/year
175 € (France)
Toilet flush
220 m3/year
880 € (France)
Small water leakage in buildings
25. Challenges
:
3)
Energy
consumpKon:
• Water
treatment
• Water
transport
(pumps)
• Pressure
…(affects
also
the
network
deterioraOon
and
the
leakage).
26. Challenges
:
4)
Balance
between
demand
and
producKon
It
requires
a
good
knowledge
of
the
consumers
behavior.
27. Challenges
:
5)
Investment
:
• Priority
for
the
network
maintenance,
rehabilitaOon,
modernizaOon
and
extension.
•
Huge
investment
28. Movies
A1
How
It's
Made
Drinking
Water
A2
Water
DistribuOon
system
A3
Illinois
Drinking
Water
A4
Challenges
to
modernize
the
public
water
distribuOon
system
29. • Water
key
figures
• Drinking
water
system
• Smart
water
system
• Smart
water
pilot
4
Parts
31. ObjecKve
of
the
smart
water
system
Improve
the
management
of
the
water
system
• Assets
management
• Leakage
detecOon
• Early
contaminaOon
detecOon
• User
awareness
• Energy
saving
• OpOmizaOon
of
the
investment
(priority
according
to
the
operaOon
sate
of
the
network…)
32. CommunicaKon
:
• OpKcal
(wired)
•
Contactless
SunRise
-‐
Plateform
InformaKon
System
• Asset
data
(SIG)
• Monitoring
data
3D
graphic
tools
AnalyKcal
tools
CommunicaKo
n
web
Servor
• Users
• Technical
team
Governance
team
• Public
data
Monitoring:
• Leakage
• Quality
Leakage
Quality
Sensors
• Flow
• Pressure
Sensors
• Chlorine,
• ConducKvity,
• pH,
• Turbidity
• temperature,
• +
OrganizaKon
39. OperaKonal
data
:
Water
quality
Intellesonde
12
Parameters
Monitored
Physical
• Temperature
• Flow
• Pressure
Chemical
• Free
Chlorine
• Mono-‐chloramine
• Dissolved
Oxygen
• ConducKvity
• pH
• ORP
• ISE
(e.g.
Ammonium,
Fluoride,
Nitrate)
OpKcal
• Turbidity
• Colour
40. Optiqua EventLab:
measures
refracOve
index
changes
in
the
water
It
allows
monitoring
of
the
water
quality
for
any
change
in
(chemical)
Quality
instrumentaKon
S::Scan
AOC,
BOD,
BTX,
COD,
color,
DOC,
FTU/NTU,
H2S,
NO2-‐N,
NO3-‐N,
O3,
TOC,
TSS,
UV254,
49. 100
km
of
Urban
Networks
• Drinking
Water
• Sewage
• District
HeaKng
• Gas
• Electrical
(
HV,
LV)
• Public
light
• Roads
50. InnovaKon
centers
and
Clusters
• Pole
Ubiquitaire
• CITC
–EURARFID
• PRN
Local
government
• AMGVF
• Lille
Metroplis
• Region
• ArtoisComm
InternaKonal:
• W-‐Smart
(Int.
Ass.
for
water
Security)
• New
York
University
• Netherland
• Great
Britain
• Spain
Private
and
public
operators
• Dalkia
• Eaux
du
Nord
(Suez)
• Eau
de
Paris
• ERDF
• Lille
Métropole
Habitat
Research
Laboratories:
• Engineering
• InformaKon
technology
• Social
Science
EducaKon
:
• Master
programs
• PhD
programs
Starts-‐ups
:
Stereograph,
Nooliic,
Inodesign,
Calmwater,
Planete
oui,
Ixsane,
Projex,
Public
and
private
partners:
51. SunRise
Community
:
Faculty
members,
PhD,
Master
Degree
Students,
engineers,
April
2014
70. Movies:
B1
The
Value
of
Smart
Water
Networks
B2
Water
is
becoming
smart
thanks
to
remote
metering
B3
The
Customer
Benefits
of
Smart
Water
Networks
B4
Arad
Group
-‐
Smart
Water
Metering
SoluOons
71. Water
System
organisaKon
(1)
(1)
(2)
(3)
(4)
(1) :
Water
Source
(2)
Drinking
water
treatment
(3) DistribuOon
Tank
(4)
Drinking
water
network
72. Water
System
organisaKon
(5)
(6)
(7)
(9)
(9)
(9)
(1) :
Water
Source
(2)
Drinking
water
treatment
(3) DistribuOon
Tank
(4)
Drinking
water
network
(5) SaOaOon
network
(6) SanitaOon
treatment
(7) Rain
network
(8) Rain
treatment
(9) Treated
water
reuse
73. Water
System
organisaKon
(1)
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(9)
(9)
(9)
(1) :
Water
Source
(2)
Drinking
water
treatment
(3) DistribuOon
Tank
(4)
Drinking
water
network
(5) SaOaOon
network
(6) SanitaOon
treatment
(7) Rain
network
(8) Rain
treatment
(9) Treated
water
reuse