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UNITYWATER’S JOURNEY…SO FAR INTELLIGENT NETWORKS
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20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Jan 22, 2017

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Page 1: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

UNITYWATER’S JOURNEY…SO FAR

INTELLIGENT NETWORKS

Page 2: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Formed in 2010, we supply

sewerage and water services to a population of approximately 750,000

residents for 297,000 accounts

across a 5,223 km2 geographical

spread from Cooroy in the north to Samford in the south, Bribie Island in the east and Kenilworth in the

west.

Our Service Area

Page 3: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

A Quick Comparison

Page 4: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Our Sewage and Water Network

5,683 kilometres of water mains pipe

5,449 kilometres of sewage mains pipe

17 sewage treatment plants

778 sewage pump stations

82 water pump stations

123 water reservoirs

11 recycled water plants (2 of which produce A+ recycled water)

Page 5: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Intelligence – in assets…or an asset in itself?

►An asset is an item, thing or entity that has potential or actual value to an organization.*

►So how does intelligence add value to the organisation?

* ISO 55000

Page 6: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

An Aberdeen Group survey* of asset intensive organisations from 2013 found that:

►66% of Best in Class Organisations use historical asset data and real-time data as actionable intelligence for optimised decision making

►56% of Best in Class Organisations had a centralised knowledge warehouse to store asset performance data from across the business

►31% of Best in Class Organisations used analytics to provide predictive insights based on captured information.

*Asset management: the changing landscape of predictive maintenance

Research

Page 7: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Analytical applications

►TaKaDu

►Decerto

►GIS

►Maximo

►Business Intelligence

Intelligence

Historic and real time data

►SCADA (points, historian)

►Customer Management Systems

►GIS

►Maximo (Work Orders, asset attributes)

►Asset inspection data

►As constructed data

►Finance systems

►Tacit knowledge

Page 8: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

TaKuDuMaximo

SCADA

Decerto

Finance

Customers

Warehouse

GIS

Page 9: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

► Avoiding major water outage

► Embedded energy to prioritise response

► Finding the cause of dirty water complaints

► Identifying pump faults that cause bursts

► PRV failure “signature”

► Locating breaches between areas

► Tracking the event and status from start to

finish

► Changing the way we manage our network

Wins from TaKaDu

Page 10: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Disaster avoided and water quality restored

Page 11: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

►Predicted demand for 48 hours

►Water age optimised

►Smoothed demand

►Scheduled pump runs

►Scheduled reservoir filling

►Energy consumption optimised

►Constant ‘tuning’ of schedules according to use patterns

Wins from Derceto

Important on the Sunshine Coast for

Tourism – population grows 165% in the

summer

Page 12: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

►Direct savings or $386k/annum in just one half of the service area (e.g. dosing system labour and chemicals, energy)

►Avoided Cost estimated at $480k

►Bulk supply outage management (planned and unplanned)

►Reservoirs and trunk network managed as a system vs best endeavours using human experience

►Optimised water ‘stock’ turns

►Operational planning tool

Benefits of Derceto

Page 13: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

►Optimised dispatch of resources

►Portal to other data sources

►Capture of history of assets

►Total Cost of Ownership

►Measles mapping

Wins from GIS and Maximo

Page 14: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016
Page 15: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

SCADA, Customer, Maximo, GIS and Finance Data

Page 16: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Real Time Customer Consumption is “Missing”…but not for long

Page 17: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

SCADA, Customer, Maximo, GIS and Finance Data

Intelligent applications derive “intelligence” from

the base data provided by these systems.

The application identifies patterns of behaviour

and makes predictions or determination from

these behaviours.

Page 18: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

How we’ve changed and the benefits

Page 19: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

44

46

48

50

52

54

56

58

2012-13 2013-14 2014-15 2015-16

Real Losses (Litres/Connection/Day)

A 14% Reduction over

four years

The Economic Level of Real Losses is c44

L/c/d

Page 20: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

►Data, information and knowledge exist – no need to create it

►Start small and build capability

►Make iterative steps to the ‘goal’

►Use human power and intelligence before investing too heavily in systems – prove the value and benefits

►Don’t let the intelligence rule the solution

Key learnings

Page 21: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

►All businesses have these data sets, so….

►Is this intelligence that far away?

►How far will intelligent networks be allowed to progress?

►What skills and competencies will be needed by the future water worker ?

►How do customers benefit?

Looking ahead…what’s next?

Page 22: 20161013 - Unitywater_Intelligent_Networks_V5 10 Oct 2016

Thank youAny questions?