Smart Water Strategies – Smart Utilities

SmartWater4Europe Erick Oostermeyer Project Coordinator

November 6th, 2014

This project has received funding from the European Union’s Seventh Programme for research, technological development and demons t ra t i on unde r g ran t agreement No 619024.

Please hold the line

Please hold the line………

4 steps: 1.  Solve the problem 2.  Find out what happened? 3.  Who where involved? 4.  What can we do to prevent this from

happening again?

The European Innovation partnership on Water (EIP) •  Established priority areas related to the challenges in

water supply distribution networks, focusing on resource efficiency, Smart Water Management and decision support systems.

•  Although the technology components for Smart Water Management are available, the route to application is still uncertain

•  The main hurdles are: lack of integrated and open solutions; difficulty of comply intelligence awareness and lock of political and regulatory support.

The challenge European   water   u,li,es   face   many   problems  related   to   their   3.5  million   km’s   of   distribu,on  networks:  §  Large   parts   of   water   distribu,on   networks  

have   to   be   rehabi l i tated   requir ing  investments  of  €  10  billion/year.  

§  Priori,za,on  and  op,miza,on  of  investments  is  needed  urgently.  

§  In   many   countries,   water   quality   needs  improvement   in  order   to   reduce  health   risks  and   resources   for   water   produc,on   and  distribu,on  must  be  used  more  efficiently.  

Old networks

Water quality

Investment Priorization

SmartWater4Europe §  Demonstra,on   of   integrated   smart   water   supply  solu,ons  at  4  sites  across  Europe.  

§  Total  Cost:  €  12  million.      §  EC  Contribu,on:  €  5,999,288,00.  §  Dura,on:  4  year.  §  Start  Date:  1st  of  January  2014.  §  Consor,um:  12   innova,ve  SMEs,  3  water  u,li,es,  3  research   ins,tutes,   1   company   and   2   plaTorm  organisa,ons.  

§  Project  Web  Site:  hWp://www.smartwater4europe.com    

Smart Water Grid

Business Intelligence Customer data

Asset data

Sta

tic

Ø  Proactive/Preventive control & measures

Ø  Information provision

Sensor data

(Social) media R

eal t

ime

Increased process

efficiency

Increased customer

satisfaction

Upmost Challenge: Big Water Data

DATA

INFO

Business intelligence

!

API API

Project Objectives •  To demonstrate 12 innovative solutions •  To demonstrate 4 integrated solutions •  To establish and guard integration and standardisation

aspects •  To establish business cases, deployment and potential

market uptake routes

TWUL Demo site Thames valley:

Reading 32.000 km

In progress ?

74 km

VIP Leeuwarden 2.200 km

Sunrise Demo site Lille

12 km

ü  Project Budget: 12M€ ü  EU funding: FP7 INNO DEMO ü  Project duration: 4 year ü  Project Management: Vitens N.V.

ü  12 innovative SMEs ü  3 water utilities ü  3 research institutes ü  1 company ü  2 platform organizations

This project has received funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreement No 619024.

Consortium

Demo Sites Thames Valley: Reading

§  Fobney  Water  Treatment  Works:   it  is   the   largest   works   in   the   Kennet  area.  

§  870   kilometres   of   distribu,on  mains   and   172   kilometres   of   trunk  mains   located   in   and   around   the  city  of  Reading.  

§  It  has  many  pipes  over  60  years  old,  serving   89.000   commercial   and  domes,c  proper,es.  

§  They   include   installa,ons   varying  f r o m   4 ”   ( 1 0 0 mm )   u p   t o  32”   (800mm)   in   size,  with  majority  of   larger   diameters   constructed   of  iron.  

§  The   demonstra,on  site   comprises   12  km’s   of   distribu,on  network.  

§  Demonstra,on   infrastructure   concerns   72  smart  meters.  

§  Serving  a  university  a  campus.    §  Seasonal    varia,ons.    

Sunrise    

Demo Sites

§  4   DMAs,   45   Op,qua   Eventlab  Sensors,  IMQS  user  interface  pilot.    

§  All  customers  have  an  analogue  water  meter,   bigger   customers   an  AMR,     a  detailed   hydraulic   model,   main   flow  and  pressure  meters.    

Spain

Vitens Innovation Playground

Demo Sites

Site  Theme   Netherlands   Spain   United  Kingdom   France  

Water  quali:y  management  

1.1  Detec:on,  back-­‐tracing  and  forward  tracing  of  water  quality  events  by  using  mul:ple  generic  sensors  and  detailed  modelling  

   

1.2  Detec:on  of  water  quality  events  in  a  chlorinated  network  and  op:miza:on  of  chlorine  usage  using  generic  sensors  

       1.3  detec:on  of  water  quality  anomalies  by  advanced  algorithms  using  mul:ple  specific  sensors  

Leakage  management  

2.1  Detec:on  and  localiza:on  of  leakages  by  using  generic  quality,  flow  sensors,  pressure  sensors  at  mains  level  and  detailed  modelling    

   

2.2  Detec:on  and  localiza:on  of  leakages  by  smart  meters  at  household  level  and  heterogeneous  data  sources  

   

2.3.  Detec:on  and  localiza:on  of  leakages  by  smart  meters  and  determina:on  of  leak  growing  and  leak  repair  effec:veness  by  self-­‐learning  algorithms  

   

2.4  Detec:on  and  localiza:on  of  leakages  by  using  AMR  (automa:c  meter  readers)  at  household  level,  flow  sensors,  pressure  sensors  and  algorithms  

Energy  op:miza:on  

3.1  Energy  op:miza:on  by  using  district  metered  areas,  pressure  and  other  sensors  and  detailed  modelling  

       

3.2  Energy  op:miza:on  by  pressure  sensors,  advanced  modelling  and  self-­‐learning  algorithms  

   3.3  Energy  op:miza:on  by  using  intelligent  distributed  controllers  

Customer  interac:on  

4.1  Detec:on  of  water  related  events  by  using  social  media  and  provision  of  informa:on  to  (vulnerable)  customers  

       

4.2  Influencing  customer  behaviour  by  supplying  water  usage  informa:on  trough  web  and  mobile  applica:ons  

   

What’s really smart ?

•  A water grid becomes really smart having sensors in minimal quantities at strategic points acquiring real-time data combined with available data* enabling a proactive network

•  * (internal AND external)