Presentation on the EU funded DAIAD project at the International Water Association Efficient 2017 Conference, Bath. UK. Smart shower monitoring devices, behaviour change and wider implications for water efficiency.
2. DAIAD is an FP7 project
o Full title: Open Water Management –
from droplets of participation to
streams of knowledge
o Instrument: STReP
o Objective: ICT-2013.6.3 ICT for water
resources management
o GA: 619186
o Duration: 42m (3/2014-8/2017)
https://youtu.be/EowqnfDUB2I
3. Consortium assembled on excellence, multi-
disciplinarity, and balanced participation of
RTD, SMEs and water stakeholders
Athena is an RTD organization and ICT integrator focused on
diverse data-intensive research (Coordinator)
Bamberg has multi-disciplinary research and applied
experience in interventions for resource consumption
Amphiro is a unique SME with domestic water monitoring
products
Fraunhofer ISI has theoretical and practical experience in
water demand modeling and sustainability
Waterwise is a leader on social empowerment for water
preservation
AMAEM is a water utility with heightened water
management challenges
8. The DAIAD objectives
o Create real-time and detailed water consumption data
o Leverage Big data assets from Smart Water Meters (benefits heavily questioned,
even for energy) and introduce personal water monitoring technologies (decouple
metering from monitoring; empower consumers)
o Devise means to manage and extract knowledge
o Extract value from Big Water Data assets scalable at the city-scale (open research
challenge – see BDVA SRIA, critical for Data Economy and Clean-Web); current
systems do not scale for highly-detailed, multi-dimensional data (time-series,
determinants)
o Create interventions and stimuli that exploit this knowledge
o Effective real-time and diagnostic interventions that induce sustainable changes in
consumption behavior (multimodal, non-intrusive, attention-economy)
o Apply new Big Data, insights, and consumer engagement facilities in WDM
o Depart from highly aggregated studies to harness detailed Big Data and effectively
target individual households (improve understanding, directly and indirectly
influence demand)
10. DAIAD@home
o Turns SWM data into knowledge
o Self-induce water efficiency
o Personalized analysis &
recommendations
o Goal-setting, comparisons
o Increase satisfaction, outreach
and engagement
o Source for accurate household
data
Mobile
Web
Applications for consumers
11. DAIAD@utility
o Complete suite of monitoring, analysis,
& consumer interaction services
o Leverages SWM data along with any
other available data source (geo, open,
surveys)
o Effectively manages and analyzes Big
Water data at the city scale
o Extracts detailed insights for
customers
o Targeted consumer engagement
o Cloud-based Software as a Service
(SaaS)
o Multi-role support (WDM to CEO,
marketing)
12. Shower water meter: amphiro b1
o Fully integrated in DAIAD
o No batteries required
(energy-autarkic)
o Bluetooth 4.0 enabled,
self-installed
o Open API (I/O, settings)
o Commercially available
13. DAIAD Pilots and preliminary
results
o Alicante, Spain
o Simulates deployment by a
water utility (top-down)
o DAIAD as a complete
demand-side management
system
o 1/3/2016-28/2/2017
o 102 households, 293
consumers
o SWM + b1 (1-4)
o St. Albans, UK
o Simulates uptake by a
consumers (bottom-up)
o DAIAD as an off-the self
Cleanweb product
o 1/3/2016-28/2/2017
o 47 households, 164 consumers
o b1 only
Phases Phase 1 Phase 2 Phase 3 Phase 4 Phase 5
All -3% -19% -10% -7% -18%
Real-time -16% Social -14%
Diagnostic -21% No
social
-3%
~400
consumers
~22K
shower
extractions
16. The DAIAD System
Insights to date
o The majority of customers do not know,
nor understand, how much water they use
even for simple tasks
o Strong, genuine consumer interest for
more information on water use
o The savings potential is there, but not the
same from everyone; individual elasticity
and consumer targeting is key
o Real-time interventions seem to have
greater impact than diagnostics; but
diagnostics are easier to tune up
17. The DAIAD System
Summary of issues
o Unsupported mobile devices (not iOS/Android)
o Low-cost Android BT stack (delays): developed proprietary libraries for
specific devices
o Malfunctioning b1 devices < 5%
o Additional b1 pairing (caused by BT stack problems)
o Anxious and impatient participants: frequent communication
o BT throughput and prioritization for historical shower extractions (2
major improvements)
o Low-cost Android stability & compatibility (increased in-situ testing)
o Extremely low-flow scenarios (<4lt/min): impossible to support with
current technologies
o SWM data irregularities (missing data points, negative values):
increased robustness of the complete system
19. DAIAD is an Open Knowledge
project
o All software provided with
an open source license
(github.com/DAIAD)
o All deliverables and content
provided with a Creative
Commons Attribution
license
o All data generated provided
with an Open Database
License
Be a part
of DAIAD!