This document discusses the development of a water information platform based on a linked sensor data framework. It aims to leverage data analytics and linked data to help secure access to sufficient and safe water by enabling intelligent water operation and control. The platform will provide personalized water consumption and availability information to households, companies and cities. It will support water management programs through tools and services developed on the platform. Three pilot sites will test the platform - a domestic site, a corporate site at an airport, and a public site at a school and university.

1. DEVELOPMENT OF A WATER
INFORMATION PLATFORM BASED
ON A LINKED SENSOR DATA
FRAMEWORK
Project co-funded by the European
Commission within the 7th Framework
Program (Grant Agreement No. 619660)
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2. RESEARCH BACKGROUND
“Leveraging data analytics and linked
data for intelligent operation and control”
• Research areas
– Sensors and Instrumentation;
– Data Analysis and Visualisation;
– Building Energy Modelling, CFD and Reduced Order
Modelling;
– Automated Fault Detection and Diagnosis;
– Remote telemetry, management & control;
• Application Areas
– Building energy management;
– HVAC Systems, Natural Ventilation;
– Water treatment and distribution;
– Aquaculture, Agriculture, Dairy Processing,
Pharmaceuticals, Data Centres – Energy & Water;
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3. THE CHALLENGE
Water resources are under stress
due to:
• Climate change
• Urbanisation
• Increased world population
• Aging Infrastructure
• Resource demand
• Water Scarcity
Some facts:
• 20-40% of Europe’s water is
being wasted due to poor
infrastructure and inefficient
consumption
• Global energy and water
demand is expected to rise
40% over the next 20 years
• By 2025, 1.8 billion people
will live in water scarce
regions and two thirds
subjected to water stress
How can ICT help in securing access to sufficient and safe water?
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4. OPPORTUNITY FOR ICT IN WATER
The worldwide market for two-way smart meters was worth $575 million at
the end of 2013 and is expected to increase to $1.1 billion in 2019.
Managed services, analytics and smart water network adoption are all
combining to accelerate growth, IHS Technology said.
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5. DRIVERS OF CONVERGENCE OF ICT
Internet of Things (IoT) - global network of
sensors, equipment, appliances, and other
objects;
Big Data – 4 V’s of Big Data;
Machine to Machine Communication (M2M) –
enabling this global IoT network to
communicate in real-time;
Cloud Computing – IaaS, PaaS, and SaaS
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6. KEY FACTS ABOUT ICT4WATER
ICT for Water (ict4water.eu)
 10 projects;
 Timeline: 2012 – 2017;
 Total budget: ~€40M;
Waternomics
 Start: February 2014
 Duration: 36 months
 Call: FP7-ICT-2013-11
 Budget: €4.287M
 Consortium: 9 partners
 Countries: 4
 SMEs: 4
 Pilots: 3
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7. WATERNOMICS GOALS & OBJECTIVES
WATERNOMICS will provide personalised and actionable
information on water consumption and water availability to
individual households, companies and cities in an intuitive &
effective manner at relevant time-scales for decision making
Objectives
• Development of a water information platform together with relevant
tools and services to support ICT-enabled water management programs;
• To introduce demand response and accountability principles (water
footprint) in the water sector;
• To engage consumers in new interactive and personalized ways that
raise awareness of water efficiency and leads to changes in water
behaviours, using airports, schools and public buildings as pilot examples;
• To develop novel tools and methodologies for leak detection, drought
prediction and automated fault detection in order to support smart water
management;
• To make possible new water pricing options, business models and policy
actions by combining water availability and consumption data.
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8. STAKEHOLDERS AND IMPACT AREAS
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LOCATION
Domestic Corporate Public
THERMI, GREECE LINATE AIRPORT, MILIAN, ITALY GALWAY, IRELAND
Domestic users and utility providers. Corporate users School and University (Public users)
KEY OUTCOMES
• Metering - Identify, inform and
gain consent of user-base;
• Metrics - metrics for both
utilities and consumers
• Management - Link the
Waternomics Platform to the
Utility database;
• Tariffs - gain feedback on
feasibility and efficiency of
flexible tariffing;
• Accessibility - Feedback from
utilities and consumers on:
interaction with the system and
ease of data accessibility;
• Awareness - raising user
awareness or water consumption,
and changes in consumer
behaviour.
• Technical – sensor locations, data
and communication architecture
on a large site (e.g. minimal
metering)
• Reporting – relevant KPI’s;
• Economical – Cost/Benefits
• Business Model – new services
and value proposition;
• Improved management and
processes;
• Certifications for energy and
water efficiency
• Savings – real-time data to inform
(i) novel business models, (ii)
fault/leak detection, (iii) water
network optimisation;
• Corporate image – CSR and public
awareness
• Awareness - test bed for user
awareness and gamification,
Involve younger audience in water
issues
• Education - Use pilots as a means
to engage students (e.g. data
analysis, app development,
research projects etc.)
• Efficiency - Save water and energy
• Management - Enable more
efficient water management
• System operation - Fault detection
and diagnosis
PILOT SITES

10. ENGINEERING BUILDING
Background
• Completed 2011
• 14,000 m2
• 100 Staff /1000 Students
• 400 rooms (Offices, Labs,
Lecture Theatres, Canteen
etc.)
• Cylon BMS: 4000 sensors
(Energy, Water, Structural,
Environmental etc.)
Energy Systems
• CHP, Gas, Biomass Boilers
• Solar H/W & Geothermal
Heating
• Climate Façade for Nat. Vent
& Automated Solar Shading;
Water Systems
• Rainwater harvesting;
• Water recycling;
• Solar HWS;
• Sub-metered supply to MWS,
GWS, CWS, HWS etc.
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11. DATA IN BUILDINGS
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12. DATA SILOS (ENGINEERING BUILDING)
Building Information Model (BIM)
• Geometry,
• Materials,
• Constructions etc.
Building Management
System (BMS)
• Temperature,
• CO2
• Set points,
• Schedules,
• Energy & Water;
Occupants
• Connected devices
(WiFi, Cellular);
• Feedback;
Rooms
• Booking schedules;
• Lecture timetables;
Technical
documentation
• Drawings
• Op &
Maintenance
manuals for
equipment etc.
Weather Station
• Wind speed;
• Temperature;
• Humidity;
• Rainfall.
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13. Q - Where in my building is
water consumed the most?
Q - Who uses those facilities?
Q - How much water can I afford
to consume next month?
Q - What about hot water?
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17. WATERNNOMICS CLOUD PLATFORM
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18. PILOT USER GROUP GOALS
Staff / Students
• Increase awareness of building water consumption
• Encourage water conservation behaviour through gamification of
water consumption data;
• Provide an open data platform for teaching and research (app
development, FDD, design etc.);
Building / Facility Management
• Reporting on building water usage using relevant key performance
indicators (KPI’s);
• Benchmark performance against other buildings on campus;
• Provide a tool for leak detection and equipment fault detection;
• Provide prediction models for water consumption;
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19. GAMIFICATION FOR WATERNOMICS
Competition based strategy
for water conservation
Lucid Dashboard
Campus Conservation Nationals
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20. WATER CONSUMPTION - FIXTURE
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21. WATER CONSUMPTION - TIME
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22. WATER CONSUMPTION - LOCATION
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23. WATER CONSUMPTION - OCCUPANT
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24. KIOSK DISPLAYS
School
University
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25. MAIN RESEARCH AREAS
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26. CONTACT INFORMATION
Web: www.waternomics.eu
Twitter: @waternomics_eu
Slideshare: waternomics_eu
Daniel Coakley1, 2, 3, Peter O’Donovan1, 3, Jan Mink4, Edward
Curry1, 5, Eoghan Clifford1, 2
1 National University of Ireland, Galway, Ireland
2 Ryan Institute, NUI Galway, Ireland
3 Informatics Research Unit for Sustainable Engineering
(IRUSE), NUI Galway, Ireland
4 VTEC Engineering, Netherlands
5 INSIGHT Centre for Data Analytics, NUI Galway, Ireland
E-mail: daniel.coakley@nuigalway.ie
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27. FURTHER DETAILS
www.waternomics.eu
info@waternomics.eu
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