Smart Water Networks for Efficiency Gains Standards Certification Education & Training Publishing Conferences & Exhibits Speaker: Brian Heimbigner Co-author: Mark Bitto 2013 ISA Water / Wastewater and Automatic Controls Symposium August 6-8, 2013 Orlando, Florida, USA
Brian Heimbigner BSChE & MBA University of Washington 25 years experience in water & wastewater processes, equipment, and operations Application engineering, project management, marketing, business development Projects Water & wastewater Municipal, electric utility, chemical, petrochemical, P&P, mining Employer profile Boeing, RCC/Reading & Bates, Aqua Chem/Lyonnaise des Eaux, Ionics, American Water, Siemens Water, ABB Inc 2
Presentation Outline Why smart water networks (SWN)? Benefits Elements of a smart water network What gets measured and tracked gets done Collecting & transferring the data Converting the data into intelligent, actionable information Typical monitoring tools & dashboards 3
Why smart water networks? Non-revenue water losses - Globally Managing water resources more efficiently Source: Smart Water Networks Forum, 2011 The World Bank estimates global water loss at 25% to 30% representing a $20 billion costs savings opportunity Underlying causes: water networks are underground, leaks are undetectable, bursts are unpredictable, visibility into status of underground network is limited 4
Why smart water networks? Non-revenue water losses US Water Utilities City % Non Revenue Water Philadelphia, PA 31 Cleveland, OH 29 Jefferson Parish, LA 24 Portland, ME 18 Macon, GA 18 Memphis, TN 15 Source: US Geological Survey and US EPA 5
Drivers for smart water networks Survival in water short & drought locations in U.S. Water short and drought locations Regulatory momentum 6
Need for smart water networks Non-revenue water losses Quality 7
Benefits from SWN Water loss reduction & a whole lot more Water Loss Reduction Improved Visibility Analysis & Detection Efficiency Operations Optimization Increased Availability Energy Savings Increased Compliance Complaint Anticipation Enhanced Planning 8
Elements of a smart water network Five layers Automated Cost-effective Data-heavy, human intensive: Deployment Maintenance Replacement Data analysis 9
Layer 1: Infrastructure Often ageing and failing Pipes: wood, galvanized, carbon, plastic, other Valves Flow & pressure meters on mains Tanks & reservoirs 10
Layer 2: Sensing & control District Metered Area (DMA) concept Reservoir DMZ DMA Pump District Meter Zonal Meter Zonal Boundary Valve District Boundary Valve 11
Layer 3: Collection & communication Telemetry Reliable data transfer Provision for storage when connection interrupted Strategy considers broad range of protocols and bands Near real-time data pulls or push to SCADA system 12
Layer 4: Data management & display The system brains - SCADA View, manage and control the network Real-time detection & alerts on all types of water loss and network inefficiencies Span large geographical areas Process and store large amounts of data Operator commands and instructions sent to various network devices Intuitive navigation and access to situation sensitive data and information Visual depiction of data through highperformance network schematics, trends, alarm lists and integrated GIS Cross navigation from various system interfaces (operator, GIS, trends & alarms) 13
Layer 4: SCADA system Scalable for water distribution network (example) Multi-server installation, with central control. All sites work independent in case of communication error between sites. Communication on fixed lines, radio / GPRS, or dial-up. 14
Layer 5: Data fusion and analysis SCADA integrated GIS functions Tight integration of GIS engine with SCADA From process graphic or alarm list zoom to GIS Pumping Station ABB Inc 15
Layer 5: Data fusion and analysis SCADA integrated GIS functions communication/ power lines devices / sensors GIS available pre-configured layers to visualize: DMA boundaries Pipe network Sensor (logger) locations Location of valves Location of tanks and other storage objects Location of pumping stations Location of treatment works Background maps (streets, etc.) ABB Inc 16
Layer 5: Data fusion and analysis SCADA integrated alarm management SCADA Operations EEMUA 191- compliant alarm analysis tools help users categorize occurring alarms, while the integrated alarm management system keeps operators focused Advanced alarm analysis tools Instantaneous reports Alarm / Event frequency Alarms over time Priority distribution Alarm duration Time to acknowledge Alarm performance Loops in manual Operator actions Exceeding threshold Standing alarms Co-occurences 17
Layer 5: Data fusion and analysis Intelligent Monitoring Software as a Service (IM SaaS) IM SaaS solution turns water network data into real-time alerts on faults, inefficiencies and water loss events. Integrated in a SCADA system, IM SaaS provides timely, actionable knowledge and insight to all levels in the water utility. 18
Layer 5: Data fusion and analysis Integrated water infrastructure monitoring Enhances water and energy efficiency, reliability and plant performance * ABB recently invested into TaKaDu, a world leading provider of water infrastructure monitoring solution (Software as a Service) Turning data into knowledge into insight SaaS software-as-a-service solution Uses state-of-the-art statistical algortithms to detect, alert & provide real time insight into leaks, bursts & other water network inefficiencies Benefits Improve overall operational and financial performance by providing early and accurate realtime alerts to network issues, leaks, and bursts Leak duration reduces water usage Reduces burst rates and consequential damage Repair crew operational efficiency improved Reduction of collateral damage Turnkey implementation Integration of all the equipment, software, knowledge to implement instruments & DMAs, telemetry, SCADA, and SaaS SaaS software is cloud based, no hardware or software installed at customer site No additional burden on IT department Embedded within SCADA Operations environment 19
Layer 5: Data fusion and analysis Integrated water infrastructure monitoring Real-time alerts: - Accurate - Geo-located - Actionable Night flow Water balance Formulas Transmission AMR data Logger data Flow Pressure Temperature Valve Status Quality Reservoir levels Smart Analysis Water Network Data External Data Asset information GIS 20
Layer 5: Data fusion and analysis Symphony Plus integrated water infrastructure monitoring SaaS alarms integrated with SCADA Operations alarm management Access & Display all operator relevant SaaS alarms in native SCADA Operations alarm list Filter & Sort alarms by Event ID, Type, Detection Time, etc. Automatic alarm retrieval service included in SCADA Operations ABB Inc. 21
Layer 5: Data fusion and analysis Typical dashboard Events list 22
Layer 5: Data fusion and analysis Typical single event details 23
Layer 5: Data fusion and analysis Typical management overview dashboard 24
Problems occur Great solutions are available Scarcity of water supply, human talent and capital resources are major challenges today for water utilities. Smart water networks solve water loss control problems and much more: Enhanced network visibility Better decisions & control Reduced energy costs Improved customer service Green commitment Regulations compliance Operational efficiencies Asset longevity 25
Conclusion Smart Water Network = Intelligent Solutions Each water system is unique & requires an assessment as to cost : benefit ratio A Smart Water Network of properly configured components & software can create significant efficiencies for the water utility and provide a good return on investment 26