AMI Implementation in Singapore

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Rebecca Watts
5 years ago
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1 AMI Implementation in Singapore Smart Water Forum 1 I

2 About SUEZ 2 I

3 billion A world leader in the smart and sustainable management of resources, we help cities and

3 SUEZ, at activities a glance employees over 90,000 operating on 5 continents industrial and business customers over 450,000 turnover in 2016* 15.3 billion A world leader in the smart and sustainable management of resources, we help cities and industries optimize water management, recycling and waste recovery. Water activities Waste activities Waste & water activities 3 Connect Asia June/2018

4 About AMI and considerations for deployment 4 I

Automated Metering Infrastructure (AMI) Smart meters, a typical example of IIOT deployment where : The network is widely deployed Assets are significant and devices procured in thousands or millions

5 Automated Metering Infrastructure (AMI) Smart meters, a typical example of IIOT deployment where : The network is widely deployed Assets are significant and devices procured in thousands or millions Device needs to operate reliably for 10 to 20 years with almost no maintenance Smart meters are the most deployed Industrial IOT devices It brings more services to both the consumers and utilities : Automatic Remote reading (customer comfort and safety) Increase billing frequency (no more estimation) Hourly consumptions Leak alerts New customer relationship Water network management Asset management 5 I

A Smart Metering solution is a complete value chain that must be managed thoroughly

Devices Connectivity IT Platform LAN WAN Data Collect Data Management Water meter

Operation model Infrastructure required Proprietary vs open technology End to end service

6 A Smart Metering solution is a complete value chain that must be managed thoroughly end-to-end. Devices Connectivity IT Platform LAN WAN Data Collect Data Management Water meter Communication device LAN network Gateway WAN Network Monitoring CHOICE OF CONNECTIVITY Operation model Infrastructure required Proprietary vs open technology End to end service IMPACTS ALL ASPECTS OF TCO Obviously Costs of devices and network + Time to Market Fit for Purpose Deployment Security Control but also Monitoring Maintenance Reversibility Sustainability Upgradability 6 I

7 Total Cost of Ownership: Connectivity is only a minor cost that strongly impacts the complete life-cycle of the SM solution Generic purpose network (like GSM, NB-IoT or LoRa network operated by a 3rd party) Low entry costs Can provide very wide general purpose use case area coverage (nationwide or even international) Dedicated network (Wize, LoRa dedicated Network) Can become expensive with large number of devices Difficult to commit on target coverage SLA for specific usages, requires use of expensive add-ons (repeaters, ) Sustainability vs. 15 years meter lifecycle Custom coverage allowing high SLAs Most competitive for dense deployments (high number of devices on a limited area) Guaranteed sustainability 7 I Fixed entry costs Requires critical size to be competitive

8 SUEZ & PUB AMI Project 8 I

metering, from engineers to the top management TUAS Started in 2015 > 50 transmitters

9 AMI Project with PUB Suez has equipped 1,200 customers across the country and have been working for the last 3 years with all PUB s collaborators involved in smart metering, from engineers to the top management TUAS Started in 2015 > 50 transmitters YUHUA Started in 2017 >500 households equipped PUNGGOL Started in 2015 >500 households equipped

AMI Pilot Trial from 2015-2018 Technical requirements such as the reading frequency, the robustness and industrialization of the equipment, the availability

10 AMI Pilot Trial from Technical requirements such as the reading frequency, the robustness and industrialization of the equipment, the availability and accuracy of the data have been checked one-by-one. Long range radio VHF transmission (169 MHz) No repeater Fast and easy to deploy Very high performance 10 I

Using AMI data to engage customers towards water saving With the data

increase awareness on residents water usage.

concept to engage the residents toward water conservation.

11 Using AMI data to engage customers towards water saving With the data collected, a gamified mobile application was created to motivate and increase awareness on residents water usage. The app uses smart metering, analytics and an innovative gamification concept to engage the residents toward water conservation. Beside leak notification, usage monitoring, the residents also receive daily, weekly and monthly challenges to help them reduce their consumption.

Pilot Trial Results 52% of households were interested in the programme and downloaded the mobile app 34% of households viewed their usage and participate in challenges on a regular basis (at least

12 Pilot Trial Results 52% of households were interested in the programme and downloaded the mobile app 34% of households viewed their usage and participate in challenges on a regular basis (at least once a week) Positive feedbacks from residents. We have even received requests from residents in other estates to join the programme. Able to deal with tough customers with leaks where traditional method had not worked. Total water savings in the five selected blocks was 5% with leak alarms Customer engagement efforts contributing 6.9 LPCD saved 12 I

13 AMI Case Studies in other Smart Cities 13 I

Case Study: Malta CHALLENGE Conserving and accurately managing the island nation s limited water resources, offering new services to customers while encouraging a responsible behaviour towards water

14 Case Study: Malta CHALLENGE Conserving and accurately managing the island nation s limited water resources, offering new services to customers while encouraging a responsible behaviour towards water consumption. 250,000 smart meters 430,000 inhabitants SOLUTION Deployed AMI to allow access to hourly readings to monitor water consumption and quickly identify abnormal consumption and leaks at any time. RESULTS Increased customer satisfaction and engagement, improved commercial cycle efficiencies, improved network management, proactive demand management and better environmental performance. 14 I

Case Study: Paris CHALLENGE Improving metrology (reducing under-registration) and increasing revenues by replacing meter fleet with static meters.

15 Case Study: Paris CHALLENGE Improving metrology (reducing under-registration) and increasing revenues by replacing meter fleet with static meters. Improving an already very high network yield by combining realtime water distribution network management with AMI data. Ability for Eau de Paris to operate the system independently & direct access to multiple vendors. Fast roll-out SOLUTION Improve existing AMI system by choosing one fixed-long range system operated by SUEZ. Innovation: static meter with embedded long-range connectivity. Stringent roll-out planning. 15-years of battery life. RESULTS Improved meter data availability. Reduced operations & maintenance costs. 2 M inhabitants 95,000 smart meters 15 I

Case Study: Barcelona CHALLENGE Empowering the customer with tools for a better water consumption control, improving network leakage detection and thus optimising the overall metropolitan area water

16 Case Study: Barcelona CHALLENGE Empowering the customer with tools for a better water consumption control, improving network leakage detection and thus optimising the overall metropolitan area water needs. SOLUTION Deployment of an AMI solution providing 24 hourly readings per day. Integration of AMI data in customer web and app, as well as alerting the customer in case of anomalies by SMS or . Integration of AMI data in network management tools. RESULTS Better Customer engagement and water awareness, reduced leaks, better customer service, a more digital customer communication Enriched knowledge for network management teams. 16 I +3,2 M inhabitants +1,4 M Smart meters Already operating units

Redwood City, Sensus & AMI

Redwood City, Sensus & AMI 2 Worldwide demand for energy and water is increasing while costs are rising By 2030, the world s population will increase by 1 billion, consuming 40% more energy and 53% more