Eau de paris


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Eau de paris

  1. 1. Vers une Gestion Intelligente des Réseaux Urbains Bruno Nguyen, Director of Operation9 Septembre 2011, Lille Frank Montiel, Head of SCADA Research & Development
  2. 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. DeveloptRisk analysis: Cross assessment of 3 dimensions System-Context-Governance
  3. 3. Urban Challenges & Climate Change ImpactsGrowing public demand for reliable,affordable, safe, and environmentallysustainable metropolitan systems.Rising concerns with regard to growingthreats and uncertainties of climatechange impacts.Urban Challenges of economic Natural Disaster – Tsunami Indonesiaglobalization, growing environmentalconcerns, increasing financial constraintsin public infrastructure investments.Growing needs for promoting priorityissues and concerns of local governmentsat the global and/or national level toeffectively affect current trends inemerging environmental sustainabilitypolicy and regulations Smart Buildings for Sustainable Energy
  4. 4. Paris Water System Water distribution network characteristicsDistribution network• A very gridded network• 95 % of the pipe are visible Non drinking water pipe Drinking water pipe Customer pipe Sewer Waste water
  5. 5. The Dispatching Center
  6. 6. CHLORSCAN SENSORS IN THE DISTRIBUTION SYSTEM• Since 2004, 104 Chlorscans sensors have beenoperated online and in real time throughout Paris.
  7. 7. Real time pipe burst detectionPipe 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 littleleakage.
  8. 8. District Metering Area Definition30 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 closedif necessary.
  9. 9. Leakage DetectionLeakage 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. 10. AMR systems in ParisThe meter reading systems developed and installed in Paris since 2004 by Suezand 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 LeftBank (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 timecomparison with the input water in order to identify leakage growth.Data are available after three days.
  11. 11. AMR-DMA Pipe burst detection exampleComparison between Daily water distributed Daily water losses calculated trend in a subvolume trend and Daily water consumption network.volume trend in the same sub network.
  12. 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. 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. 14. SMART GRIDS FOR THE WATER SYSTEM IN PARIS ? S teur 2 ec S teur 3 ec PipeDistribution Network Secteur1 S teur 4 ec
  15. 15. SMART GRIDS FOR THE WATER SYSTEM IN PARIS ? Roadmapè Added values for short, medium & long term ?è How to benchmark ? Which indicators ? (economic, ecologic, sociologic…)è Development of integrated system modelingè Where to start ?
  16. 16. The SUNRISE Project Fields of Interest• Real time supervision anddata acquisition (AMR).• Improved wirelesscommunication system.• Multi utilities networks(Water, Energy...).• Lille University is an openfield for researcher.• Valorisation of Eau de Parisexpertise in SCADA systems.• Water Smart Grid researchproject.• Application in Paris Therefore, the SUNRISE Project innetwork. Lille is a real opportunity
  17. 17. ConclusionTechnology trends and new concepts for water integration in the globalurban management are deemed to provide future improvements throughbetter asset management, new services to the customers and betterresponse to consumer’s expectations.Smart Grids have shown results in the Energy business; application in theWater business is still awaited.The water infrastructure deployed in Paris already offers many advantagesin the daily operation of the system, but more can be done. According to theexperience of Eau de Paris, three particulars points of the leakage detectionprocess 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 possiblea project for developing such a whole process.
  18. 18. Thank you for your attention