The SmartH2O project receives EU funding to develop technology for improving water efficiency through new business partnerships between water utilities and customers. The project aims to turn smart meter water consumption data into a business intelligence tool to help utilities predict demand, optimize operations, and foster sustainable customer behavior. The technology includes a gamified consumer portal, data analytics for customer segmentation and behavioral change, and serious games for customer engagement. The system has been in alpha testing and will be deployed in London, Valencia, and other locations in 2016-2017.

1. The SmartH2O Technology
Jacopo Mossina, Research Fellow at Politecnico di Milano
EIP Water Conference 2016

2. Why We Are Here
• THE SmartH2O PROJECT
– The SmartH2O project receives funding from the European Commission and is part of the ICT4Water cluster
• PARTNERSHIPS
– Short-term collaborations for technology development and deployment
• BUSINESS DEVELOPMENT
– Investors to follow up of the project
– Markets: Mediterranean area, Europe, USA
• VISION
– Water efficiency requires new business link between utilities and their customers
• MISSION
– Turn water consumption smart meter data into a business intelligence tool
– Help water utilities predicting water demand and optimize network operations and water production
– Foster behavioral change of water consumers towards a more sustainable society
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3. • Digital + real games
• Personalized tips
Hour the day
0 5 10 15 20 25
Normalizedhouseholdconsumption
0
0.05
0.1
0.15
WATER DATA
END_USE ANALYTICS
CUSTOMER SEGMENTATION
ENGAGEMENT AND
BEHAVIOURAL CHANGE
DATA acquisition
and consolidation
Consumption data
REPOSITORY
• Privacy
• Security
CONSUMER PORTAL
Gamification And Data Analytics For Consumption Behavioral Change
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4. Gamified Consumer Portal
3

5. 4
HOUSEHOLD
WATER
CONSUMPTION
Users’ consumption
class (label)
USERS CLUSTERING FEATURE EXTRACTION MODEL LEARNING
HOUSEHOLD and
CONSUMERS’
PSYCHOGRAPHICS
Relevant consumption
determinants subset
Users’
consumption
class (label)
forecast
Feature Extraction-based User Profiling

6. Serious Games For Engagement And Behavior Change
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7. Where We Are
DEPLOYMENT AND TESTING TIMELINE
• End of 2015
– Gamified Consumer Portal in alpha test
– 400 households in Canton Ticino (CH), AMI at 1 hr resolution
• Q1 2016
– Deployment in Valencia with Emivasa, Grupo Aguas de Valencia.
– 650'000 smart meters (490'000 already deployed), of which 2500+ high resolution (1h)
• 2016 / 2017
– Deployment in London with Thames Water
• Long term investment: 3 M smart meter before 2030 (40’000 in 2015)
DEPLOYMENT MODEL
• On premises
• SaaS
BUSINESS DEVELOPMENT
• Uptake by 2 partners (Set Mobile, WebRatio)
• Demos and contacts at major events in EU and US
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8. http://www.smarth2o-fp7.eu/
@smartH2Oproject
#SmartH2O
@JMossina
@AndreaCominola
jacopo.mossina | andrea.cominola
@polimi.it
Politecnico di Milano
Department of Electronics,
Information and Bioengineering
consortium cluster