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Vers une Gestion
                              Intelligente des
                             Réseaux Urbains
                            Bruno Nguyen, Director of Operation
9 Septembre 2011, Lille   Frank Montiel, Head of SCADA Research &
                                        Development
RISK ANALYSIS




                                  Governance
                                   Public Education
                                      Regulation
                               Sustainable Development
                                      Eco-Risk




                  System                                 Context

               Asset Management                      Climate Change
               Crisis Management                      Public Concern
           From Resource to Consumers                  Globalization
                                                AvailableTechnol. Developt



Risk analysis:    Cross assessment of 3 dimensions System-Context-Governance
Urban Challenges & Climate Change
                                        Impacts

Growing public demand for reliable,
affordable, safe, and environmentally
sustainable metropolitan systems.

Rising concerns with regard to growing
threats and uncertainties of climate
change impacts.

Urban Challenges of economic                 Natural Disaster – Tsunami Indonesia
globalization, growing environmental
concerns, increasing financial constraints
in public infrastructure investments.

Growing needs for promoting priority
issues and concerns of local governments
at the global and/or national level to
effectively affect current trends in
emerging environmental sustainability
policy and regulations
                                             Smart Buildings for Sustainable Energy
Paris Water System
 Water distribution network characteristics


Distribution network
•
      A very gridded network
•
      95 % of the pipe are visible


                        Non
                      drinking
                     water pipe
    Drinking water
         pipe
                                  Customer
                                    pipe




                     Sewer
                                  Waste water
The Dispatching Center
CHLORSCAN SENSORS IN THE DISTRIBUTION SYSTEM


• Since 2004, 104 Chlorscans sensors have been
operated online and in real time throughout Paris.
Real time pipe burst detection




Pipe Break detection by observing brutal real-time pressure fall and rising flow

     - Low alarm pressure threshold on the scada system: all the real time pressure are
       defined in the scada system with such a threshold alarm.

     - High and low alarm flow threshold on the scada system.

This method can detect brutal change in water distributed volume, it is less sensitive to little
leakage.
District Metering Area Definition




30 sub areas have been defined for the city.
180 flow-meters used (real time and differed time).
All the water transfers between areas is count and manual valves are closed
if necessary.
Leakage Detection
Leakage detection with increasing average night flow and daily distributed volume

  Most of leakage detection are detected with the average night flow and confirmed with the
  daily distributed volume.
  Rising detection has to be correlated with operation events (it can be due to filling swimming
  pool for example).


                Average night flow                           Daily distributed volume
AMR systems in Paris

The meter reading systems developed and installed in Paris since 2004 by Suez
and Veolia differ from one another. On the Right Bank of the Seine (2/3 of Paris),
Veolia has chosen a bi-directional short-range system; whereas Suez on the Left
Bank (1/3 of Paris) preferred uni-directional long-range system.
                           AMR: How does it work ?
                                                                                         Short Range System Véolia

                     Repeater                                                              64 280 meters
 Véolia System
                                                   GPRS Network
 Radio Short Range
 With Repeater                                                                             38 787 repeaters
                                    Concentrator
                                                                     Central
                                                                     System                   579 concentrators

  Radio                         Suez System
                                                      GPRS Network
                                                                                          Long Range System Suez
  Module                        Radio Long Range


 Impulses
                                                                                           28 162 meters
  Emitter
                                                                                            8 010 boosters

                                                                                              219 concentrators
            Mechanical Meter




                                The information of the 93 000 meters are transmitted once a day.
The information of these meters are aggregated per area and allow the short differed time
comparison with the input water in order to identify leakage growth.
Data are available after three days.
AMR-DMA Pipe burst detection example




Comparison between Daily water distributed   Daily water losses calculated trend in a sub
volume trend and Daily water consumption     network.
volume trend in the same sub network.
SMART GRIDS FOR THE WATER
                                SYSTEM IN PARIS ?

    What is the limitation of the current state
    practice and the business case for Smart
                     Grids ?
è
    Optimization of Operational Management (operator’s
    performance)

è
    Redefinition of Asset Management – best choice with
    uncertainties assessment (operator’s performance)

è
    Efficient Master Planning – best investment in larger
    context prevision (system performance)
SMART GRIDS FOR THE WATER
                                SYSTEM IN PARIS ?

What are the challenges and priority needs
    for which Smart Grids is useful ?

è
     Water losses reduction in the distribution pipe network
    by active leakage detection and repair;

è
     Pipe burst prevention and reduction of their social costs
    by efficient renewal of the conduits;

è
     Reduction of water quality defaults identified by
    sampling analysis and customer’s complaints;
SMART GRIDS FOR THE WATER
                        SYSTEM IN PARIS ?
                               S teur 2
                                ec
                    S teur 3
                     ec
    Pipe
Distribution
 Network                       Secteur1

                   S teur 4
                    ec
SMART GRIDS FOR THE WATER
                            SYSTEM IN PARIS ?

                 Roadmap
è
    Added values for short, medium & long term ?

è
    How to benchmark ? Which indicators ?
     (economic, ecologic, sociologic…)

è
    Development of integrated system modeling

è
    Where to start ?
The SUNRISE Project

   Fields of Interest
• Real time supervision and
data acquisition (AMR).
• Improved wireless
communication system.
• Multi utilities networks
(Water, Energy...).
• Lille University is an open
field for researcher.
• Valorisation of Eau de Paris
expertise in SCADA systems.
• Water Smart Grid research
project.
• Application in Paris           Therefore, the SUNRISE Project in
network.                             Lille is a real opportunity
Conclusion
Technology trends and new concepts for water integration in the global
urban management are deemed to provide future improvements through
better asset management, new services to the customers and better
response to consumer’s expectations.
Smart Grids have shown results in the Energy business; application in the
Water business is still awaited.
The water infrastructure deployed in Paris already offers many advantages
in the daily operation of the system, but more can be done. According to the
experience of Eau de Paris, three particulars points of the leakage detection
process can considerably be improved:

      •
          Amelioration of the whole system of AMR transmission in order to make the
          existing system become ‘Real-time’ system.
      •
          Development of anomalies detection process using new algorithms.
      •
          Develop and establish appropriate response based on identified anomalies.

Lille university’s water network will be a very relevant place to make possible
a project for developing such a whole process.
Thank you for your attention

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Eau de paris

  • 1. Vers une Gestion Intelligente des Réseaux Urbains Bruno Nguyen, Director of Operation 9 Septembre 2011, Lille Frank Montiel, Head of SCADA Research & Development
  • 2. RISK ANALYSIS Governance Public Education Regulation Sustainable Development Eco-Risk System Context Asset Management Climate Change Crisis Management Public Concern From Resource to Consumers Globalization AvailableTechnol. Developt Risk analysis: Cross assessment of 3 dimensions System-Context-Governance
  • 3. Urban Challenges & Climate Change Impacts Growing public demand for reliable, affordable, safe, and environmentally sustainable metropolitan systems. Rising concerns with regard to growing threats and uncertainties of climate change impacts. Urban Challenges of economic Natural Disaster – Tsunami Indonesia globalization, growing environmental concerns, increasing financial constraints in public infrastructure investments. Growing needs for promoting priority issues and concerns of local governments at the global and/or national level to effectively affect current trends in emerging environmental sustainability policy and regulations Smart Buildings for Sustainable Energy
  • 4. Paris Water System Water distribution network characteristics Distribution network • A very gridded network • 95 % of the pipe are visible Non drinking water pipe Drinking water pipe Customer pipe Sewer Waste water
  • 6. CHLORSCAN SENSORS IN THE DISTRIBUTION SYSTEM • Since 2004, 104 Chlorscans sensors have been operated online and in real time throughout Paris.
  • 7. Real time pipe burst detection Pipe Break detection by observing brutal real-time pressure fall and rising flow - Low alarm pressure threshold on the scada system: all the real time pressure are defined in the scada system with such a threshold alarm. - High and low alarm flow threshold on the scada system. This method can detect brutal change in water distributed volume, it is less sensitive to little leakage.
  • 8. District Metering Area Definition 30 sub areas have been defined for the city. 180 flow-meters used (real time and differed time). All the water transfers between areas is count and manual valves are closed if necessary.
  • 9. Leakage Detection Leakage detection with increasing average night flow and daily distributed volume Most of leakage detection are detected with the average night flow and confirmed with the daily distributed volume. Rising detection has to be correlated with operation events (it can be due to filling swimming pool for example). Average night flow Daily distributed volume
  • 10. AMR systems in Paris The meter reading systems developed and installed in Paris since 2004 by Suez and Veolia differ from one another. On the Right Bank of the Seine (2/3 of Paris), Veolia has chosen a bi-directional short-range system; whereas Suez on the Left Bank (1/3 of Paris) preferred uni-directional long-range system. AMR: How does it work ? Short Range System Véolia Repeater 64 280 meters Véolia System GPRS Network Radio Short Range With Repeater 38 787 repeaters Concentrator Central System 579 concentrators Radio Suez System GPRS Network Long Range System Suez Module Radio Long Range Impulses 28 162 meters Emitter 8 010 boosters 219 concentrators Mechanical Meter The information of the 93 000 meters are transmitted once a day. The information of these meters are aggregated per area and allow the short differed time comparison with the input water in order to identify leakage growth. Data are available after three days.
  • 11. AMR-DMA Pipe burst detection example Comparison between Daily water distributed Daily water losses calculated trend in a sub volume trend and Daily water consumption network. volume trend in the same sub network.
  • 12. SMART GRIDS FOR THE WATER SYSTEM IN PARIS ? What is the limitation of the current state practice and the business case for Smart Grids ? è Optimization of Operational Management (operator’s performance) è Redefinition of Asset Management – best choice with uncertainties assessment (operator’s performance) è Efficient Master Planning – best investment in larger context prevision (system performance)
  • 13. SMART GRIDS FOR THE WATER SYSTEM IN PARIS ? What are the challenges and priority needs for which Smart Grids is useful ? è Water losses reduction in the distribution pipe network by active leakage detection and repair; è Pipe burst prevention and reduction of their social costs by efficient renewal of the conduits; è Reduction of water quality defaults identified by sampling analysis and customer’s complaints;
  • 14. SMART GRIDS FOR THE WATER SYSTEM IN PARIS ? S teur 2 ec S teur 3 ec Pipe Distribution Network Secteur1 S teur 4 ec
  • 15. SMART GRIDS FOR THE WATER SYSTEM IN PARIS ? Roadmap è Added values for short, medium & long term ? è How to benchmark ? Which indicators ? (economic, ecologic, sociologic…) è Development of integrated system modeling è Where to start ?
  • 16. The SUNRISE Project Fields of Interest • Real time supervision and data acquisition (AMR). • Improved wireless communication system. • Multi utilities networks (Water, Energy...). • Lille University is an open field for researcher. • Valorisation of Eau de Paris expertise in SCADA systems. • Water Smart Grid research project. • Application in Paris Therefore, the SUNRISE Project in network. Lille is a real opportunity
  • 17. Conclusion Technology trends and new concepts for water integration in the global urban management are deemed to provide future improvements through better asset management, new services to the customers and better response to consumer’s expectations. Smart Grids have shown results in the Energy business; application in the Water business is still awaited. The water infrastructure deployed in Paris already offers many advantages in the daily operation of the system, but more can be done. According to the experience of Eau de Paris, three particulars points of the leakage detection process can considerably be improved: • Amelioration of the whole system of AMR transmission in order to make the existing system become ‘Real-time’ system. • Development of anomalies detection process using new algorithms. • Develop and establish appropriate response based on identified anomalies. Lille university’s water network will be a very relevant place to make possible a project for developing such a whole process.
  • 18. Thank you for your attention