SWAN ARCHITECTURE

ANDREW BURROWS CTO & Co-Founder i2O Water

SWAN ARCHITECTURE WORK GROUP

Utilities

• David Ward, Anglian Water

• Ding Carpio, Manila Water Company

• John Douglas, Northumbrian Water

• Keith Hilson, South East Water UK

• Louise Dudley, Queensland Urban Utilities

• Nina Meyers, Queensland Urban Utilities

• Paul Belz, Queensland Urban Utilities

• Tracy Minall, Queensland Urban Utilities

• Peter Gallant, Veolia Water

• Philip Onunkwo, South East Water

Technology providers

• Andrew Burrows, I2O (WG Chair)

• Christopher Phillips, I2O

• David Persson, ABB

• Haggai Scolnicov, TakaDu

• Jamie Longman, Sensus

• Laurie Reynolds, Aquamatix

• Ofer Cohen, Bermad

• Paul Chandler, Gutermann

• Paul Linford, Syrinix

• Simon Bunn, Derceto

• Zohar Yinon, Hagihon

SWAN Researchers

• Deepti Das, SWAN

• Amir Cahn, SWAN

GOAL

• To define the architecture of Smart Water Distribution Networks mapped through challenge areas to the root business drivers

• Develop tools to help water utilities to define the most appropriate architecture for their distribution network and challenges

• Provide guidelines for establishing the return on investment

PROCESS

DRIVERS

• Research business Drivers across broad geographies

• Research challenge Areas to address business drivers

Solutions

• Research technologies and solution areas

• Map the many to many relationships of technologies and challenges

• Develop SWAN architectures that address challenge areas

• Collate case Studies

Conclusion

• Identify benefits

• Identify limitations and technology gaps

• Recommendations

SMART WATER NETWORK

A smart water network is a fully integrated set of products, solutions and systems that enable water utilities to:

• Remotely, continuously and automatically monitor and diagnose problems, pre- emptively prioritize and manage issues and remotely control and automatically optimize all aspects of the water distribution network using data-driven insights from multiple data streams

• Comply transparently and confidently with regulatory and policy requirements on water quality and conservation

• Provide water customers with the information and tools they need to

make informed choices about their behaviors and water usage patterns

DRIVERS

BUSINESS DRIVERS

Customer Service

Revenues

Capital Expenditure

Operational Expenditures

Supply constraint

SMART WATER

NETWORK

Environmental & Government Regulations

Weather/Climate

Change

Competition

Source: Workgroup research

BUSINESS DRIVERS

Customer Service

Revenues

Capital Expenditure

Operational Expenditures

Supply constraint

SMART WATER

NETWORK

Environmental & Government Regulations

Weather/Climate

Change

Competition

Operational Expenditures

Workgroup research

50% of global water utility spending is on OpEx 56% is on distribution OpEx

44% is on production OpEx

BUSINESS DRIVERS

Customer Service

Revenues

Capital Expenditure

Operational Expenditures

Supply constraint

SMART WATER

NETWORK

Environmental & Government Regulations

Weather/Climate

Change

Competition

Operational Expenditures

Workgroup research

Distribution OpEx Major components

66% Repair and maintenance On average utilities spend 20% of their annual spending on Repair and Maintenance.

Utilities claimed that approx. 80% of Repair and maintenance was focused around fixing leaks and bursts.

9% Pressurisation

6% Quality monitoring

6% Chemicals

Source: Water 2020 – EMBA4web - Sensus

BUSINESS DRIVERS

Customer Service

Revenues

Capital Expenditure

Operational Expenditures

Supply constraint

SMART WATER

NETWORK

Environmental & Government Regulations

Weather/Climate

Change

Competition

Operational Expenditures

Workgroup research

Production OpEx Major components

35% Energy

30% Materials

20% Labour

Source: Water 2020 – EMBA4web - Sensus

BUSINESS DRIVERS

Customer Service

Revenues

Capital Expenditure

Operational Expenditures

Supply constraint

SMART WATER

NETWORK

Environmental & Government Regulations

Weather/Climate

Change

Competition

Workgroup research

47% of global utility spending is on CapEx 59% is Pumps, meters and valves

41% is pipes

Capital Expenditure

Source: Workgroup research

BUSINESS DRIVERS

Customer Service

Revenues

Capital Expenditure

Operational Expenditures

Supply constraint

SMART WATER

NETWORK

Environmental & Government Regulations

Weather/Climate

Change

Competition

Workgroup research

Increasing pressure to improve customer satisfaction

3% of global utility spending is Customer service

Customer Service

Source: Workgroup research

BUSINESS DRIVERS

Customer Service

Revenues

Capital Expenditure

Operational Expenditures

Supply constraint

SMART WATER

NETWORK

Environmental & Government Regulations

Weather/Climate

Change

Competition

Supply constraint

Environmental & Government Regulations

• According to the World Bank, aging water distribution networks results in annual water losses (NRW) estimated globally at 48.6 billion cubic meters

• Regulators are setting leakage reduction

targets and imposing fines for failure to comply.

• Water stress and aging infrastructure,

driving solutions to reduce water losses and enable water conservation.

Source: Growing-Blue

Weather/Climate

Change

CHALLENGES

Challenge Areas % Key Performance Measures

REDUCE LEAKAGE 38% + Leakage Target, Energy, SIM, Chemical Costs

REDUCE BURSTS 28% Operating Costs, Serviceability, SIM

MINIMISE ENERGY 12% + Operating Costs, Production Costs

IMPROVE LEVEL OF SERVICE 8% SIM, Regulatory

ACHIEVE QUALITY TARGETS

4% SIM, Regulatory, Security

IMROVE COST EFFECTIVENESS (Field Ops) 4% Opex

Demand optimisation/ reduction +

MINIMISE APPARENT LOSSES Leakage target, Revenue

EXTEND AGING INFRASTRUCTURE LIFE ++ Operating Costs, Capital Expenditure

IMPROVE HEALTH & SAFETY Accident frequency rates, CHaSPI (UK)

PROTECT ENVIRONMENT +++ Carbon Footprint, Greenhouse gases, Sustainable resources

NETWORK SECURITY IT and bio/chemical attacks

CHALLENGES – WATER UTILITIES Our research identified the following as the key challenges to address drivers faced by utilities globally. Source: Workgroup research, Takadu research

MAPPING BUSINESS DRIVERS TO CHALLENGES

Business Drivers

Challenge

Weather/ Climate Change

Demand Forecasting

Losses Customer

Service

Business Driver

Challenges

Totex

Losses

Customer Service

Regulatory Revenues

TECHNOLOGIES

TECHNOLOGY SOLUTIONS

Physical layer Sensing and

Control Communication and Collection

Data Management and Display

Data Fusion and Analysis

Network topology • District metering

areas • Pressure

management areas

Network assets • Pipework • Pressure Reducing

Valves • Pumps • Customer meters

• Flow logging • Quality sensors • Pressure logging • Acoustic logging • Acoustic

Correlators • Energy sensors • Smart Meters • PRV control • RTU/ PLC • Variable speed

drives

• Fixed cable network

• Cellular • WiFi • Long-range radio • Mesh Radio

• Databases • GIS • Telemetry • SCADA • Remote control • Meter Data

Management • ERP • Billing

• Forecasting • Condition

monitoring • Operations

prioritisation • Live modeling • Pressure

optimisation • Reservoir

optimisation • Pump

optimisation

Source: Workgroup research

ARCHITECTURE

Architecture

• Drivers

• Challenge areas

• Technologies

How to combine technologies to create a SMART solution architectures that optimally addresses the challenges and drivers?

Solution Areas e.g. ALC..

DMA Bulk

meter

Flow loggers

Noise loggers

GSM SMS

Telemetry System

ALC Prioritisation

GSM GPRS

RADIO

MAPPING TECHNOLOGIES TO SWAN LAYERS

Customer Meter

Smart customer

Meter

Pressure loggers

Wired Mesh radio

Data repository

Basic reporting & visualisation

Bench- Marking

Noise correlators

Burst awareness

Network Anomaly

Burst pin-pointing

Works optimisation

CASE STUDY : Project - Eislingen

Problem Statement

POTENTIAL SOLUTION: • Permanent noise correlators

CHALLENGES:

Business challenges • Identify bursts quickly • Prioritise bursts • Pinpoint bursts

Minimize burst “visibility, find and fix” time

Representation of the architecture

Layer 5 Data Fusion, Analysis &

Optimization

Layer 4 Data Management

& Display

Layer 3 Communications

Layer 2 Sensing & Control

Layer 1 Infrastructure

Open network/ DMA/ PMA

EVENT PRIORITIZATION

gprs

radio

relay

Burst pinpointing

Data display and reporting

Data Storage

Noise Correlator

radio

Noise Correlator

Noise Correlator

radio

Source: Gutermann

PROJECT - EISLINGEN

PayBack Period and ROI:

Operating costs:

Reduced by 26 working weeks the leak detection operations

= 26 x ca. €1900

= ca. € 50,000 per year

Water costs:

Reduction of MNF by 5 l/s

= 160,000 cubic meters water per year

x €0.69 per cm production cost

= € 108,800 per year

Total measured cost reduction: = ca. € 160,000 per year , PayBack : 2-3 months

Source: Gutermann

Source: Gutermann

CASE STUDY : Project – Syabas Malaysia

Problem Statement

POTENTIAL SOLUTION

• Automatic pressure optimisation

CHALLENGES:

• Reduce real losses • Reduce burst frequency • Extend asset life

• Urgent need to reduce real losses

• Forecast shortfall • Regulative pressure • Customer expectations

Forecast shortfall - Minimize real losses

Representation of the architecture

Layer 5 Data Fusion, Analysis &

Optimization

Layer 4 Data Management

& Display

Layer 3 Communications

Layer 2 Sensing & Control

Layer 1 Infrastructure

Pressure Optimisation

algorithm

GPRS

Data display and reporting

Data Storage

PRV Controller & Pressure and Flow logger

Pressure logger

PRV PMZ

GPRS

METER

FEEDBACK GPRS

Source: i2O Water

PROJECT - SYABAS

+ Largest water concessionaire in Malaysia

(supplies 7 million consumers)

+ 229 DMAs with i2O PRV control

+ Additional 200 systems being installed

and optimised

+ ROI on first 229 systems 7.1 months

+ Latest TDF reduced by 51 MLD

51 MLD

TDF reduction from first 229 systems

Source: Syabas Water, Malaysia

CASE STUDY: Yarra Valley Water (Melbourne, AU)

Problem Statement

POTENTIAL SOLUTIONS: • From 1995-2011, YVW adopted the following nine

solutions:

o Implement zone Metering o Improve Bulk Meters o Pressure Management o ALC o Immediate customer shutoff o Customer Meters o Reservoir leakage sensing o Water Network Monitoring

Challenge:

o Urgent need to reduce non-revenue water o High water cost o High energy cost o High field opex cost o Regulative pressure o Customer expectations

There is a constant need to reduce non-revenue water.

Source: Takadu / Yarra Valley

Business Drivers

High Water Costs

High Energy Costs

Improve Operational

Efficiency

Maintenance Costs

Regulation Benchmarking Customer

Expectations

Challenge NRW REDUCTION

Solution Areas

Improved Bulk Meters

Zone

Metering

Pressure

Management

Water Network

Monitoring

Layer 2 Sensing &

Control

Layer 1 Infrastructure

Layer 3 Communications and Collection

Layer 4 Data

Management & Display

Layer 5 Data Fusion, Analysis &

Optimization

Pressure

Flow

SCADA

Radio

GSM

GIS

Control

DMAs

Custr Meters

Pressure

Flow

Radio

GSM

SCADA

GIS

DMAs

Meters

PMAs

Pressure

Flow

Control

Radio

GSM

SCADA

GIS

Hydraulic Modelling

DMAs

Meters

PMAs

Pressure

Flow

GPRS

GSM

SCADA

GIS

Automated Monitoring

TECHNOLOGY STACK

DMAs

Meters

PMAs

Source: Takadu / Yarra Valley

Representation of the architecture

Layer 5 Data Fusion, Analysis &

Optimization

Layer 4 Data Management

& Display

Layer 3 Communications

Layer 2 Sensing & Control

Layer 1 Infrastructure

Hydraulic model

GPRS/ Radio

GIS SCADA

PRV Controller & Pressure and Flow logger

Pressure logger

PRV DMA & PMZ

GPRS/ Radio

METER

Customer meters

Automatic monitoring

VSD Pump

Pump RTU Pump VSD

Source: Takadu / Yarra Valley

YVW NRW REDUCTION

28 Gl 3

4

1 1 3 Improved

Bulk/Custom MetersZone Metering

PressureManagementCustomer Meter

Easyfill

• The biggest reduction in NRW was observed by installing Bulk and customer meters, Zone metering and pressure management

• Increased knowledge of the network • Better informed operational, maintenance and

planning decisions

• Increased efficiency of human operators

• Reduced the run-time of a leak

• Reduced the man hours spent searching for leaks

• Reduced repair costs through early intervention

• Improved customer relations

Source: Takadu / Yarra Valley

YVW NRW REDUCTION

Since 1995, YVW has decreased NRW by 75%

Source: Takadu / Yarra Valley

Next stage

Build detail around • Drivers, challenge areas and technology solutions • Create architecture models and guidelines against

combinations of challenge areas. • Create a common language • Map the “many – many” relationships

– Create ROI models for individual and combination solutions.

• Create case studies • Create papers and tools for SWAN members

HTTP://WWW.SWAN-FORUM.COM/WORKGROUPS.HTML

Register online:

We need your help!

Contact Deepti or Amir Cahn

Or/