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Water Company PerspectivesOn Dynamic and Real Time
Modelling
Efficient Water Workshop
Birmingham, 5th February
Rob Casey, Water Modelling ManagerThames Water Utilities Ltd
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Our Vision
Mission Statement
‘Efficient and accurate monitoring and control of theThames Water system with immediate alert and
resolution of any activity from source to tap for any
network operation that may impact our customers!’
Live calibrated realtime models of our
entire network
Any genuine network
activity is highlighted
real time – no false
alarms
Clearly articulates what
the issue is i.e. Closed
valve/leakage increase.
Our customers arekey
Covers our own sites
– Not just the network
The above is a long term ambition yet how can
we achieve this?
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How Are We Going to Achieve This?
SCADADATA
ANALYSIS ACTION
Optimisednetwork activity,
leakage & energy
use
AMR/Acoustic
noise logging
Data
validation
systems
Improvedinformation on
network
Efficient and effectivemanagement
processes
Live
hydraulic
models
INFORMATIONSYSTEMS
Financial &
performance
data
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Real Time Modelling - Future Vision
DATA
VALIDATION
SCADA
SYSTEMMODEL
CALIBRATION
SYSTEM
MODELS
GIS
DECISION SUPPORT
SYSTEMS
Automatic Data Validation and Model Calibration systems are
key to the success of real time modelling and future decision
support systems
Benefits
Up to date models maintained on line and available for use
100% model coverage
Model maintenance costs reduced
Dependency on external consultants reduced
Network efficiency improved – shut valves, breaches detected immediately
Optimal network & supply operation – pressure, energy, leakage, resources
Leading to reduced network activity
INFORMATION
SYSTEMS
Existing Components
Future Developments
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Household Meter penetration of 80% by 2025
“One property, one connection, one meter” with stateof the art AMR technology on all new installations andreplacements
Selective metering rollout across concentratedgeographic DMAs tying in with Mains Replacementwhere possible
Proactively replace meters based on risk and assetdeterioration, alongside Selective Programme
Consumption information made available forcustomers
AMR flow data to quantify usage, identify leakage andselect areas for further investment (regular waterbalance)
Implementation of innovative and affordable tariffsolutions that positively influence customer behaviourand SMART Network Management i.e. In builtacoustic and pressure loggers
Develop suite of services/products for commercialcustomers based on AMR flow data
Automatic Meter Reading(Improved Information)
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Trunk Main Monitoring(Improved Information)
To reduce the risk of major bursts,we’re installing two types of sensorsin access chambers on some of ourlargest water mains
Ashridge’s Hydroguard system
monitors water pressure, flow rateand noise to detect bursts
This technology, combined withcontingency planning, allows us torespond more quickly to bursts:
– less flooding and disruption
– reduced interruptions to watersupply
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Syrinix’s TrunkMinder system actsas a burst alarm too, but has theadded capability of detecting smallleaks as they develop
By repairing these hidden leaks we
can prevent them from graduallywashing away the supporting soil
– reduced likelihood of majorbursts
– scheduled repairs are lessdisruptive than emergencyrepairs
Trunk Main Monitoring(Improved Information)
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Flow
Pressure
DataCleansing
Analysis EventGenerator
Alert
Generator
Secure File Transfer
USER INTERFACES
GIS
Job
Records Operational
Data
Data Validation - System Overview
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Cleaning
algorithms
Prediction
acrossspace and
time
Algorithm example: Historical prediction
Ignoring spiky data Automatically Identifying
deviations from norm
Data Validation - Algorithmic Approach
e.g. TaKaDu
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Data Analysis – TaKaDu Pilot Scheme
Pilot scheme proved data analysis concepts and ability to identify leaks,
bursts, meter faults, shut valves and DMA breaches in real time
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Earlier leak detection
(reducing visible leaksand customer impact)
Improved leak location
Improved detection in
non-operable DMAs and
DMA00
Repair verification
Identification of DMA
br eaches, meter failures
and valve operation
mistakes
Trunk Main Monitoring
Real-time alerts on
bursts and major
network events
Automated validation of
flow, pressure and
demand dataPlayback of SCADA
pressure and flow data
via simulation tools to
identify network
constraints
On line hydraulic
models with auto
calibration features
Network Optimisation
Real Time Modelling – Network Potential
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Transmission Optimisation3 Key Components
1. Production/Transmission Savings
24.0
25.030
3.0
-8.0-
7.090
43.0
HAMPTON
680659.6
ASHFORD700
679
KEMPTON170
159.4
EALING & BST55.5 Ml/d
EALING & BST55.5 Ml/d
KEMPTON 48”
49.0 Ml/d
KEMPTON 48”
49.0 Ml/d
THREEVALLEYS
0.0
35
10.0
10
HAMPTONCOUNTRY
77.3 Ml/d
KEW
BARNES
SHOOT UP118.2 Ml/d
BARROW HILL
127.1 Ml/d
PUTNEY102.8 Ml/dPUTNEY
102.8 Ml/d
BISHOPSWD27.0 Ml/d
BISHOPSWD27.0 Ml/d
MAIDEN LANE124.9 Ml/d
MAIDEN LANE124.9 Ml/d
CROUCH HILL151.6 Ml/d
CROUCH HILL151.6 Ml/d
MILL HILL/KIDDERPORE
26.9 Ml/d
MILL HILL/KIDDERPORE
26.9 Ml/d
FORTIS GRN
PUMPED64.6 Ml/d
FORTIS GRN
PUMPED64.6 Ml/d
FORTIS
GREENCRICKLEWOOD
BATTERSEAPUTNEY
RES
PARKLANE
HOLLANDPARK
SEWARDSTONE
HORNSEY40
38.8
BARROWHILL
NRH
STOKENEWINGTON
78.1
80
57.0
70 14.335
2.9
113.7135
74.4
754.030
37.250
THREE
VALLEYS
10.010
51.280
HAMMERSMITH
99.4120 3.0
4
52.0
55
22.370
25.025 38.038
36.09043.0
4320.020
70.090
25.0
30
SEWARDSTONE
17.0
17
0.018
2.5
20
19.633
52.860
37.590
9.750
48.1120
60.060
60.0
60
13.050
0.0
30
40.043
7.0
-
FINSBURY
PARK10.0
20
AREA
10Ml/d
191.0200
Zone GroupDemand Ml/d
Transfer Ml/d
Capacity Ml/d
Enhanced Assets In BluePinch Points In Red
Strategic Network Performance, R Casey 27/02/09 v1
WTW Output Capability v20.8PR09 Demand Forecasts v3355
Outage 3%, PR09 Headroom
FINSBURY
PARK25.9
25.9
KEY Booster
TWRMShaft
WTW
Reservoir
8.0113.7
WEEKDAY ELECTRICITY TARIFF
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
0 0 : 3 0
0 1 : 3 0
0 2 : 3 0
0 3 : 3 0
0 4 : 3 0
0 5 : 3 0
0 6 : 3 0
0 7 : 3 0
0 8 : 3 0
0 9 : 3 0
1 0 : 3 0
1 1 : 3 0
1 2 : 3 0
1 3 : 3 0
1 4 : 3 0
1 5 : 3 0
1 6 : 3 0
1 7 : 3 0
1 8 : 3 0
1 9 : 3 0
2 0 : 3 0
2 1 : 3 0
2 2 : 3 0
2 3 : 3 0
TIME
p / k W h
WD
DARENTH ROAD WPS - DEC 2012
MAJOR SAVINGS FROMREDUCED PUMPING DURING
4-7 PM & TRIAD PERIODS
MINIMAL ADDITIONAL SAVINGSFROM ENHANCED NIGHT OR WEEKEND
PUMPING & INCREASED LEAKAGE RISK
2. Tariff/Triad Savings
3. Pump Efficiency Savings
HEAD
FLOW
Plan/Monitor Weekly
Monitor In Real Time
Monitor In Real Time
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Planned & Monitored Weekly By Production & Control
Using Cost Model, Production Plan & Cost Tracker
Key Performance Metric - £/Ml
Production/Transmission Optimisation
Production Plan
Cost Model
CURRENT
TARGETUNIT COST
£50.85 per Ml
Marginal Cost Tracker
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Tariff/Triad Optimisation
CENTRAL & N LONDON TARIFF/TRIAD WEEKLY SUMMARY
0
10000
20000
30000
40000
50000
60000
DAIL Y AV. SCHEDUL E 12/12/11 13/12/11 14/12/11 15/12/11 16/12/11
P O T E N T I A L T R I A
D C O S T £
0
100
200
300
400
500
600
700
800
P E A K - A V T A R I F F D
A I L Y C O S T £
Po ten tia l T ria d Co st £ Pea k-Av T ar if f D ai ly C os t £
Annual Plan Agreed By Production, Control & Networks
Actioned/monitored by Control Centre
Key Performance Metrics – kWh, Energy Costs, Leakage Impact
WEEKDAY ELECTRICITY TARIFF
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
16.00
0 0 : 3 0
0 1 : 3 0
0 2 : 3 0
0 3 : 3 0
0 4 : 3 0
0 5 : 3 0
0 6 : 3 0
0 7 : 3 0
0 8 : 3 0
0 9 : 3 0
1 0 : 3 0
1 1 : 3 0
1 2 : 3 0
1 3 : 3 0
1 4 : 3 0
1 5 : 3 0
1 6 : 3 0
1 7 : 3 0
1 8 : 3 0
1 9 : 3 0
2 0 : 3 0
2 1 : 3 0
2 2 : 3 0
2 3 : 3 0
TIME
p / k W h
WD
DARENTH ROAD WPS - DEC 2012
MAJOR SAVINGS FROM
REDUCED PUMPING DURING
4-7 PM & TRIAD PERIODS
MINIMAL ADDITIONAL SAVINGS
FROM ENHANCED NIGHT OR WEEKEND
PUMPING & INCREASED LEAKAGE RISK
Real Time Monitoring via SCADAvital to highlight high tariff/triad costs
Weekly summaries to highlight
overall performance
P Effi i O i i i
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Pump Efficiency Optimisation
HEAD
FLOW
Current Pump Operating Point
Current pump replacement plan under Business Improvement Plan
Real Time Pump Efficiency Savings
- Monitor pump group water power output versus energy input
- To be further developed under sub metering and information technology projects
Key Performance Metrics – kWh input, water power output
Pump Efficiency
Delivery Head
Monitor Pump GroupWater Power Output
Versus Energy Input
To Monitor Efficiency
Flow
Suction Head
Pump Head Flow CurveControl Gentre To
Optimise Pump
Efficiency Using
Most Efficient Pumps
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Real Time Modelling - Key Issues
DATA
VALIDATION
SCADA
SYSTEM
MODEL
CALIBRATION
SYSTEM
MODELS
GIS
DECISION SUPPORT
SYSTEMS
INFORMATIONSYSTEMS
Existing Components
Future Developments
The development of automatic Data Validation
and Model Calibration systems are key to
achieving Sustainable Real Time Decision
Support Systems That Maximise Benefits for
both Network and Supply System Optimisation
To justi fy the expenditure on automated data validation and model
calibration it is important to consider benefits right across the water
supply system rather than individual activities.