Advanced Intelligent Management System of Water Distribution Network G BEST Center for AIWDS Suing-il Choi

Transcription

1 Advanced Intelligent Management System of Water Distribution Network G BEST Center for AIWDS Suing-il Choi 1

2 2 Contents 1. Footprint of Water Service in Korea 2. Current state of Water Service in Korea 3. Validation of Water Network Management 4. Smart Water Network Management 5. G-BEST Research Team 6. Composition of G-BEST Research Work

3 Footprint of Water Service in Korea 3

4 Footprint of Water Service in Korea Installation of Pipe from Han river to pump station (1906) 4

5 Footprint of Water Service in Korea The Capacity of Water Service were about 600,000m 3 /day before Korea War in broken in 1950 Most Facilities were broken duting Korea Water Water Service Facilities in 67 cities were lost their function The breakage of Seoul Waterworks during War (investigated in ) Broken facility Breakage(%) D trt. plant 50 K intake 30 K trt. plant 90 D reservoir 40 N trt. plant 30 Industrial Water 40 source Transmission main 10 Distribution line 5 N pump st. 80 Supporting Facil. 90 Office & Storage 70 H pump st. 60 Source : History of City of Seoul,1965 5

6 Footprint of Water Service in Korea Long line waiting for water tank car at hill area during 1970 s. 6

7 Footprint of Water Service in Korea Signing AID Loans for waterworks construction in

8 Service ratio(%) Footprint of Water Service in Korea Year Expansion in water service ( ) 8

9 Current State of Water Service in Korea 9

10 Current State of Water Service in Korea Expansion of Water Service Service expansion Total Pop. (thousand) 48,824 49,053 49,268 49,599 50,034 50,394 50,644 51,435 Served pop.(thousand) 43,633 44,187 44,671 45,270 46,057 46,733 47,336 50,264 Service ratio (%) Per Capita water use (L/day) per Capita(L) Service ratio(%) Serviced population from 17.1% (1961) to 97.7% (2010) per Capita water consumption (LPCD) (333l/m day) has been gradually decreased due to water reuse and water saving devices. due to the persistent leak management 10 10

11 Current State of Water Service in Korea Capacity of Water Treatment Plant Total Capacity (1000m3/day) Local Service (1000m3/day) Multi-area (1000m3/day) ,462 29,460 30,950 31,138 31,265 30,571 31,416 30,936 22,258 23,156 23,222 23,410 22,741 22,050 22,320 21,839 6,204 6,304 7,728 7,728 8,524 8,521 9,096 9,096 Total Capacity (1000 m 3 /day) Local service (1000 m 3 /day) Multi-area (1000 m 3 /day) 11 11

12 Current State of Water Service in Korea Revenued Water Revenued water has been increased from 74.7% (2000) to 83.2% (2010) Total (mil. m3 ) 5,798 5,812 5,791 5,696 5,723 5,909 6,002 5,749 5,747 5,804 5,760 5,910 Revenued Water(mil. m3 ) 4,258 4,342 4,367 4,395 4,489 4,633 4,761 4,601 4,659 4,744 4,759 4,920 ratio(%) Leak ratio(%) Reason for Increase in revenue water - Replacement of leaking pipes - Improvement of O&M in plant. - Efficient distribution network management. - Efficient pressure management

13 Current State of Water Service in Korea Installation of Pipe Table 1. Composition of pipe network for water supply at the end of 2010 Local network Multi-area network Sum (km) Intake line 1,671 1,546 3,223 Transmission Line 7,232 3,340 10,572 Distribution Line 84,309-84,309 Service Line 67,695-67,695 Total 160,913 4, ,800 Table 2. Pipe length categorized by aging Less than 5 yrs 6 10 yrs 11 15yrs 16 20yrs More than 21 yrs Total Local (km) 38,538 (23.9%) 29,362 (18.2%) 25,963 (16.1%) 32,296 (20.1%) 34,754 (21.6%) 160,913 (100%) Multi-area(km) 414 (8.5%) 1,596 (32.7%) 1,284 (26.3%) 546 (11.2%) 1,046 (21.4%) 4,887 (100%) Total (km) 38,592 (23.5%) 30,958 (18.7%) 27,247 (16.4%) 32,843 (19.8%) 35,800 (21.6%) 165,800 (100%) 13 13

14 Validation of Water Network Management 14 14

15 Validation of Water Network Management Why distribution line should be managed? 15 15

16 Validation of Water Network Management 1. Asset of Waterworks Water service without pipe About network? 70% of waterworks asset would be pipe network 16 16

17 17 17 Validation of Water Network Management Corrosion of Pipe

18 Validation of Water Network Management Café/daum.net/pdk0407 Reporter Y.J.Lim Consequence of No Care for Distribution Line Reporter Y.J.Lim 18 18

19 Validation of Water Network Management 2. Waste of water resources Leak rate of each Province %, 2010 The leakage were 0.64 Billion m3 /yr in 2010 while the total supply were 5.9 Billion m3 /yr. For last 10 years, the leakage reached up to 7.5 billion m3 which matched to about 5.5 billion US $. The pipe older than 21 years might occupy about 21% of total pipe network which may correspond to 36 thousand Km

20 Validation of Water Network Management Capacity and delivery of 16 dams for residential and industrial use only Total Valid Delivery Watershed Storage Storage Floods Water Name of Dam Area (km 2 Capacity Capacity control Supplies ) (millionm3) (millionm3) (millionm3) (millionm3/yr) Sum KD DB WM YC GC GS HY SY DA AG YC GC DB SE SA BR * Long term water resources plan( ), Part II, MLTM, Construction Duration

21 Validation of Water Network Management Water scarcity and Water loss due to Insufficient management of distribution network Most of 4 billions of people may not have sufficient access to water by billions m3 of water was lost by leakage & burst in water supply network in Korea, Global water stress indicator (World Resource Institute, 2003) Emergency water supply 21 21

22 Validation of Water Network Management 3. Major reason of distrust on water quality at tap Table 5. The pattern of drinking water due to the distrust of water quality Drinking pattern Potable water Purifier Mineral Fountain sum boiling tap water July % % 8.6% 7.7% June/July % % 7.8% 5.0% *Drinking water quality management rule, Ministry of Environment, 2009 Table 6. The countermeasure by MOE to regain trust on the distributed water quality. Replacing aged pipe Renovation of WTP Strengthen water quality criteria /examination Open the examination result to public Changing w ater source May % 16.8% 25.6% 18.4% 30.3% June/July % 13.9% 18.5% 11.0% 4.8% *Drinking water quality management rule, Ministry of Environment,

23 23 23 Validation of Water Network Management 4. Energy Saving Leak reduction Flow velocity reduction Friction headloss reduction Pump Power reduction Energy saving used in boiling water caused by quality distrust

24 Validation of Water Network Management Headloss and Power Consumption by flow Darcy-Weisbach Eq. Friction headloss, h, is proportional to square of flow velocity, v. Power for Pump Required power for Pump operation is proportional to flow and headloss 24 24

25 Validation of Water Network Management Energy saving due to 10% reduction in leakage Before leakreduction flow Q o, velocity V o, friction headloss h o, Power P 0 After 10% reduction flow Q 1, velocity V 1, friction headloss h 1, Power P 1 Q 1 = 0.9 Q 0, V 1 = 0.9 V 0 h 1 = f(l/d)(v 1 2 /2g) = f(l/d)((0.9 V 0 ) 2 /2g) = 0.81f(L/D)(V 0 2 /2g) = 0.81 h o Power P 1 = WQ 1 h 1 = W(0.9Q 0 )(0.81h o ) = WQ 0 h o = P 0 Energy saving could be between 10% to 27.1 % due to 10% leak reduction

26 Smart Water Network Management 26 26

27 Smart Water Network Management How? Smart phone, Smart TV Smart Key Smart Grid Smart!! 27 27

28 Smart Water Network Management Sma a a art Water Network Management! 28 28

29 Smart Water Network Management Smart? Real time Intelligent Intraactive Variety Convenience 29 29

30 Smart Water Network Management Real time Trust Energy saving Water resources Reservation Intraactive Asset management Convenience Variety Intelligent 30 30

31 Smart Water Network Management Needed Fields of Technology New Network Emergency Response Existing Network IMS Smart meter Rehabilitation Energy saving 31 31

32 Smart Water Network Management Decision Making 32 32

33 Smart Water Network Management Smart Cooperation Company Technology development Market serch Research Ins. Coopration Policy supporting Gov. Policy Supporting Tech. development Supporting market search Local Gov. Network Rehabilitation Advance Tech. O&M 33 33

34 G-BEST Research Team 34 34

35 G BEST Research Team-Organization The G BEST center for intelligent water network consisted of 1 Coalescing Institution and 6 Core research groups with more than 300 participating researchers. The Coalescing and Core research groups manage over 30 individual organizations from industry, academy, and research institute. Participants Expert Committee Coalescing Center Coalescing Project Core Project I Core Project II Core Project III Core Project IV Core Project V Core Project VI Design and Construction of Smart DMA in water distribution system Development of an integrated system for pipeline fault management & water quality control Integrated optimal management and improvement technology for water distribution system Development of Energy Optimal Operation, Retrieval and Intelligent Flat - form in Water Distribution System Optimization of Water Pipe Network Operation & Management Based on Smart Meter & Sensor Network Development of disasters prevention system in pipeline Participants Participants Participants Participants Participants Participants 35 35

36 G BEST Research Team-Vision and Mission The missions of the G BEST Center for Intelligent Water Network (CIWN) are developing technologies related to advanced intelligent water distribution system (AIWDS) and constructing test bed. It s specific targets are as follows. C hlorine 10 % Pressu re 20 % C ut-off 30 % Pilot: within 2 yea rs Test-Bed: within 5 yea rs 10,0 0 0 household 90 % Sma rt technology 30 % 30 % Ma nua l: within 3 yea rs Automa tic system: within 5 yea rs Endpoint qua lity 20 % O &M 20 % Economica l efficien cy 20 % 36 36

37 G BEST Research Team-Stepwise Implementation Plan 1 st Phase ( 11.08~ 12.04) 2 nd Phase ( 12.05~ 13.04) 3 rd Phase ( 13.05~ 14.04) 4 th Phase ( 14.05~ 15.04) 5 th Phase ( 15.05~ 16.04) Overall Strategy Development of unit technologies Pilot & Small Test-bed ( > 1,000 conn.) Commercial-based composition Big Test-bed ( > 10,000 conns.) Commercialization AIWDS Strategy Standardization of DB, GIS, Network Integrated system of flow/quality/pressure/energy Design S/W frame and architecture Operational guideline Construction & Operation of prototype IWN system Analysis of O&M effectiveness Goal SCADA AIWDS Start DMA GIS or CAD Water quantity Water quality Leakage detection Pressure management Electric Power NRW<30% NRW<20% NRW<15% NRW<10% 37 37

38 38 38 G BEST Research Team-Period and Budget The G BEST Center for Intelligent Water Network (CIWN) has been started from August, 2011 as one of the Eco- Innovation projects of Ministry of Environment. The G BEST center is expected to be funded about 47.7 million USD for 5 years from 2011 to 2016 Configuration funding The relation between G Best Center and sub-projects Sub projects have a individual target. G BEST Corporate Contributions (47.6%) 15.4million USD (32.3%) 7.3million USD (15.3%) Sub 1; Improving revenue rate and reducing water disruption effect Sub 2; Detection of pipeline fault and optimal management of water quality Sub 3; rehabilitation and endoscopic pipeline AIWDS System integrate Test-Bed & Pilot plant Sub 4; Energy optimization & recovery Seoul K-water Government Contributions (52.4%) 25milliion USD (52.4%) Sub 5; Smart meter Sub 6; Damage Reduction from natural disaster KECO

39 Composition of G BEST Research Work 39 39

40 Coalescing Institution : Integrated Management System Integration Management System (IMS) Pressure Water Quantity. Water Quality System Facilities Leakage Energy Emergency Fault Management System Smart Block Management System Water Quality Management System Smart Monitoring Management System Facilities Management Info. Flow/Pressure Management Info. Water Quality Management Info. Flow Data Charge Quantity Amount Charged Info. Input Communication Equipment Data Collection Data Revision Data Storage Data Collection Data Revision Data Storage O&M DB Charge Management DB Optimal Energy Management System Integrated Database GIS DB Monitoring DB Complete, Flexible, Reliable SCADA Data Collection Data Revision Data Storage Data Collection Data Revision Data Storage Info. Input Communication Equipment Location Info. Facility Info. Facility Management Info. Flow Info. Pressure Info. Water Quality Info

41 Coalescing Institution : Pilot Plant 1 st Phase ( 11.08~ ) Design 2 nd Phase ( 12.05~ 13.04) Performance verification & improvement 3 rd Phase ( 13.05~ 14.04) 4 th Phase ( 14.05~ 15.04) Effectiveness analysis 5 th Phase ( 15.05~ 16.04) Elevated Tank Disinfectant and Chemical Injector Energy Recovery Device Energy Recovery Device Energy Recovery Device Water-Hammer Generators Laying Leak Pipe Simulation Pipeline Mapping 150mm Inspection hole Non-water suspension Water Flushing, poly pig etc. Cleaning Experiments Corrosion/Biofilm Experiments Pressure Reducing Valve Pressure meter Flow meter Scour Velocity Experiment Water Quality Sampling in leak generator Gate Valve Drain 41 41

42 Coalescing Institution : Test Bed in Korea Test-Bed 1 st Phase ( 11.08~ 12.04) 2 nd Phase ( 12.05~ 13.04) 3 rd Phase ( 13.05~ 14.04) 4 th Phase ( 14.05~ 15.04) 5 th Phase ( 15.05~ 16.04) Master Plan Small test-bed ( < 1,000 conns.) Design/Construction/O&M Big test-bed ( > 10,000 conns.) Design/Construction/O&M Master Plan Small test-bed ( < 1,000 conns.) Design/Construction/O&M Master Plan DB construction of GIS, facility etc. Field survey & primary diagnosis DMA construction Analysis of operation & management data Planning of test-bed construction/o&m 42 42

43 Coalescing Institution : Oversea Test Bed Strategic Plan 12.4 Promote joint research MOU signing ceremony Construction of DB, GIS for water supply facility MOU signing for joint research between Vietnam and Korea Water Utility Research Inst. Site Joint Research Test Bed Fund Fund Joint research Corporation in joint research between Vietnam and Korea Ministry of Env. G BEST Analysis of current status and primary diagnosis 14.4 Localization in Vietnam of developed tech. in Korea Development of G.Top technology in optimized to Vietnam 16.4 Construction of AIWDS management system Analysis of O&M results Construction of monitoring and control system for optimal management of water quantity, quality, energy. Reducing water loss up to water revenue rate 90% 43 43

44 Core Project I : Design and Construction of Smart DMA in Water Distribution System More than 10,000 households domestic and foreign Test-Bed pilot project Water pipe Non-water suspension technology : 40% reduction of water suspension time and area More than 95% of tracking leak incident rate : On-Line Leak monitoring system More than 90% of accounted-for water as percent : optimal block system design/management skills Global Top Water distribution optimal Design/Construction/Ma nagement skills and Performance Core Technology 1 Design of smart block system S/W Package 2 Optimal operation of a smart block system 3 IT convergence Intelligent water distribution management technology 44 44

45 Core Project Ⅱ : Development of an Integrated System for Pipeline Fault Management and Water Quality Control Pipe assessment techniques based on statistical techniques Transient Analysis of the techniques Cost-Effectiveness Analysis Module Water distribution anomaly detection algorithm technology Signal processing and Model-based Real-time Diagnosis Water distribution emergency response skills Water Distribution Biofilm/ Corrosion Control Technology Biofilm/Corrosion Evaluation Technology Biofilm/Corrosion Control Standard Residual disinfectant and DBPs Real-time concentration forcasting technology Disinfection by-products by raw water Optimal smart control technology Pilot plant Construction Associated with local governments and general challenges 45 45

46 Core Project Ⅲ : Integrated Optimal Management and Improvement Technology for Water Distribution System Achieve more than 90% Extend more than 30% Improve efficiency More than 30% 46 46

47 Core Project Ⅳ : Development of Energy Optimal Operation, Retrieval and Intelligent Platform in Water Distribution System The ultimate goal of research Performance goals Operational energy reduction rate More than 30% Hydro turbine efficiency 4% Improve The optimum Operating Package Advanced company 100% Goals Performance Indicator Targets Demand forecast Forecasting error rate Within 5% Grounds for target Satisfaction of user requirements Intellectual Property Rights Creation of new technologies Patent Prototype Commercialization Energy Optimization Energy Reduction More than 30% World-class Academic Contents of tasks Final Achievements Source & Commercial Demonstration & Commercialization Develop water supply energy system based on forecasting Develop the intelligent operating platform system Hydro energy recovery facilities /Systems development Small Business Demand forecasts and On/Off-line operating simulation S/W Package Energy optimal operating program Package 20 kw water reservoir Hydro Energy Recovery Facility (0.1 CMS) GIS, Integrated DB, On-Line linking SCADA-based Intelligent Platform Simulation Tool Intelligent Platform Energy Recovery Verification Simulation Operational Functions Software Turbine efficiency Scale of pilot test Large-scale (More than 10,000 households) On/Off-line Localization 84% (4%improvement compared to existing) In 5years Improve operability and efficiency The world same feature/ Software Performance Compare with other systems Planning period of the study 47 47

48 Core Project Ⅴ : Optimization of Water Pipe Network Operation and Management Based on Smart Meter and Sensor Network Precision hardware development -Accuracy, precision, shielded, waterproof, freezing, wired and wireless communications Multi-function Meter -Extension(Monitoring the leaks, backflow, freezing, power status, etc) Suggest the Standard model -Protocol standardization and Development of wire/ wireless network Develop Water Quality Monitoring system in water distribution -Localization of the major items sensor (turbidity, residual chlorine, temperature, ph, electrical conductivity) -Integration and systemization Develop pipeline State changes monitoring sensor -Structural deterioration, internal and external stress changes, leaks, etc. Develop the separate real-time measurement date and analysis techniques Develop the operational management techniques that is based on real-time measurement system Integrated management system Accuracy Reproducibility : 3% Full Scale Transmitter-receiver : Sending and receiving more than99% Complex sensor 80% localization(4/5) Accuracy Reproducibility:3% Full Scale Transmitter-receiver : More than99% Compact, ultra-low power sensor Automated meter reading 100% Improve service rate more than 10% Malfunction rate 0%

49 Core Project Ⅵ : Development of Disaster Responding System in Pipeline Element Technology Development Implementation and Enforcement of Element Technology Highperformance RFID Tags and Readers Position of water pipes Error within 1m Water-pipes laid position Monitoring System (DC PPM) Distribution System Information D/B Building Improve Maintenance efficiency Production Side -viewing camera Making Pushrod cable D80~2500mm can be applied Both the anterior and lateral shoot Non-stop supply water pipe diagnostic system (DC- NPD) Real-time detection of pipe networks 49 49

50 50 1 Commercialization technology Research Goals Eco-friendly green technology Intelligent management technology G-top high technology