Development of Kwater Technical Software for Smart Water

Development of K-water Technical Software for Smart Water Management Implementation Session 2 -4; Water and sanitation service SW Development Center, K-water Convergence Institute Shin, Eunher (Ph. D)

Table of Contents 1. Introduction 2. SW Development Center 3. Technical SW 4. Smart Water Management with SW 5. Example : Colombo (Sri Lanka) 6. Conclusion

1. Introduction 1. 1 SW in the Water Market Ø The global water market is shifting from hardware(HW) to software (SW) Ø The SW sector is expected to show a significantly higher market growth rate than the hardware sector 3 2012 Source : Frost & Sullivan analysis,

1. Introduction 1. 2 The Meaning of SW for Water Utilities Ø From data to value in the water supply system ⇒ Importance of SW for water utilities Sensors, Smart Pipes, Smart Meters Data Collection Data Storage, Cloud Data Dissemination (Big) Data Analysis Data Integration with Historical Data Modelling and Analytics Internet Visualization Physically-based Models Data Driven Analysis Management and Control Decision Support Decision Making Ø Extracting value from data is very complicate and difficult, requires expertise Ø Long term efforts are necessary to summarize the accumulated know-how of a company Ø SW is perceived as the most suitable tool to show the technological capacity of a company 4

2. SW Development Center 2. 1 SW Development Center 5

2. SW development Center 2. 2 SW Development Policy Ø Three Major development directions 1) Secure core engines for future • Algorithms, Models, Source Codes 2) Provide business support through process automation • Process automation with SW • Multiple Scenario Analysis, Sensitivity Analysis, PI Calculation, Model Calibration 3) Strengthen visualization • Present values from data and analysis • Charts, tables, contours, etc. 6

3. Technical SW 3. 1 K-water’s Technical SW 7

3. Technical SW 3. 2 K-NSeries (Network Analysis Package) K-NSeries (K-water Multi-purpose Water Supply Network Analysis SW) Pre-processing Analysis Post-processing Demand Driven Analysis . inp Google Map +DEM CAD +DEM GIS or GIS+DEM Pressure Driven Analysis Pressure Dependent Demand Pressure Dependent Leakage Model Builder Results Visualization GUI Temperature Modeling Transient Analysis 8

4. Smart Water Management with SW 4. 1 Core Part of SWM – DMA Management 3 Stages of SWM Implementation for DMAs Service Connection Level SWM 3 rd - Install SM at all service connections Fully Developed - Real-time water audits (top-down, bottom-up) - Real-time network model analyses SWM 2 nd Partially Developed SWM 1 st Basic SWM Sub-DMA Level SWM - Install SM around sub-DMAs Regular water audits (top-down, bottom-up) Regular network model analyses DMA Level SWM - Install SM at boundary and critical points Regular water audits (top-down) Regular network model analyses 9

5. Example : Colombo(Sri Lanka) 5. 1 Colombo Condition (Preliminary Diagnosis) Ø Current situation of Colombo ü (DMA) DMAs are not completely isolated and connected to nearby DMAs through boundary valves ü (Monitoring) Flow rate, water pressure, and water quality are not properly monitored in DMAs ü (Quantity) NRW is very high (approx. 49%) and leakage is about 3, 000 ㎥/day ü (Pressure) The average pressure in daytime is too low (about 0. 4 bars), therefore two towers are not in operation Ø DMA isolation is difficult physically, therefore SWM (Level 1) is needed 10

5. Example : Colombo (Sri Lanka) 5. 2 Diagnosis with K-NSeries Ø The feasibility of DMA isolation was verified Ø A hydraulic model was developed and abnormal conditions were simulated 11

5. Example : Colombo (Sri Lanka) Ø Deficit Analysis [Results of Hydraulic Modeling at DMA 1 at 12: 00 (left: Case 1 and right: Case 2)] [Ratio (%) of Fully-Service Areas Before and After DMA Isolation] [Hourly Deficit (%) Before and After DMA Isolation] 12

5. Example : Colombo(Sri. Lanka) Ø Pressure Distribution Analysis Low Water Pressure Problems at LPA A, B, and C; and Other Areas Every 3 Hours Time Location 00: 00 03: 00 06: 00 09: 00 12: 00 15: 00 18: 00 21: 00 LPA A O O O O LPA B X X O O O LPA C O O O O Others X X X O) Low pressure X) Acceptable level of pressure LPA A LPA C LPA B [Low Pressure Area] [Pressure Distribution According to Time] 13

5. Example : Colombo(Sri Lanka) 5. 3 SWM Suggestions Ø Virtual DMA establishment (Level 1) is suggested for NWSDB (water utility of Colombo) ü Monitoring of the boundary area, large consumer and low pressure area by deploying Smart Meters ü Water audits should be performed regularly ü DMA hydraulic conditions need to be evaluated using Smart Solution SW (K-NSeries) 14

6. Conclusion Ø SW is one of the key factors to create value from data - (1)Process Automation, (2)Know-how Accumulation, (3) Level of Technology Ø K-water SW Center can cover all aspects from design to business - Design, Development, Quality Control, Release, Business Ø DMA management using Smart Meters and Smart Solution SW is just one example of SWM Ø Virtual DMA management using Smart Meters and Smart Solution SW (K-NSeries) has been implemented in Colombo 15

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