Data as a Change Driver

Transcription

1 Data as a Change Driver Linda Roberts Manager Water Services 6 th September 2017

2 Where the Bloody Hell Are We? 2

3 Our Assets 11,000 ML of water per year 11 water supply schemes 1 dam / 3 weirs 27 bores 38 water reservoirs 36 water pump stations 1,018 km of water mains 8500ML of Sewage Treated 836km sewer mains 180 SPS 3 treatment plants supplying recycled water 31 storage facilities 3

4 Service Delivery Requires Balancing Outcomes Safety Protecting the safety of the community and our staff Public Health Protecting the health of our community, water, sewerage, waste Environmental Minimise water contamination, noise, dust, fumes Service Levels Delivering on Adopted Service levels Economic Reduce the cost to provide the service in the long run Reputation Protect the Reputation of Council

5 Outline of Presentation 1. Change Driver - Understanding the Why? 2. Customer Centric How does this enhance Customer Value? 3. Where is the Beef? Deferment of $100M Water Treatment Plant Shaving the Peak Empowerment of Customers leading to Behavioural Change

6 1. The Change Drivers 6

7 Current Practices Unsustainable Capital Costs Environmental Regulation Growth Asset Renewal Loss of subsidies Operating Costs Electricity Raw Water Greater Asset Complexity = Increased Operation Costs 7

8 Demand Growth Major Impact on Capital Reducing peak demand in the dry season by 10% would allow MRC to extend the life of the treatment plant by 4 years 8

9 Understanding the problem Good Water Security (Pioneer Catchment) Allocations a Potential Issue Notable Infrastructure Constraints 9

10 Smart Meters not a Stand-Alone Project Community Awareness of Water Conservation Part of a Broader Demand Management Initiative We have seen a shift in: Community Awareness Interactions with Customers Water Use Behaviour Interactions with Customers Water Use Behaviour 10

11 Fact Based Decision Making Performance monitoring of our assets and providing good data analytics is critical to optimising asset performance in the future Raw Water and Treatment Facilities 30-40% of asset value Pump Stations, Reservoirs and Trunk Mains Pump Stations, Reservoirs and Trunk Mains Pump Stations, Reservoirs and Trunk Mains Real time data Low potential savings for water savings Focus Area Distribution Network Customer 60-70% of asset value Limited data High potential for water savings 11

12 Improved Data Capture Automatic Meter Reading Across Total Meter Fleet using 28 receivers 850,000 meter readings per day Other IWN Devices District Metered Areas, Water Pressure Sewer Monitoring Rainfall, Temperature, Humidity Landfill Leachate Monitoring Broader Information Investments Market Research Meter Data Management Software (MiWater) Data Exposure to Consumers Upgrade to SCADA Systems Statistical Database to Aggregate Data (MP5) 12

13 Smart Meters How it Works Council Server Cellular/ TCPIP LP WAN (Radio) Consumer Communication Antenna Meter/AMR 13

14 2. Customer Centric 14

15 Changing the Relationship Model We have fundamentally changed the customer/consumer relationship All Customers with Smart Metering Online Customer Portal - Manage Water Use (near) Real Time 10 x Increase in Proactive Engagement Drop in Concession for Concealed Leaks High level of Customer Satisfaction 15

16 Segmenting our Consumers Our clients all use water differently Recent analysis indicates that 15% to 20% of clients in Mt Pleasant are using 50% to 60% of the discretionary water use High water users are not necessarily breaking restrictions 16

17 Leak Detection Deliver Major Benefits 17

18 Daily Consumption kl/day Detailed Data = Better Engagement Very high water use during December - $ day leak - $ months consumption at about 200L/p/d - $ /12/2012 2/01/2013 2/02/2013 2/03/2013 2/04/2013 2/05/2013 2/06/

19 Share the Data Empower the Customer We have created a relationship with the person using the water Access to near real time information on water use and cost Identification and notification of leaks Targeted information about how the customer can impact their water bill Reduced undetected leaks and water related hardship cases 19

20 3. Benefits Realised 20

21 Learnings Optimising the way we use assets is the key driver for the cost effective delivery of water services Customer behaviour has the largest impact on asset utilisation Combining low cost real time data monitoring with targeted customer management allows us to plan and deliver cost effective infrastructure 21

22 Community Benefit Empowerment of Customers to Change Behaviour Shaving the Peak Deferment of $100M WTP Community Saving: $180 Mn Over 10 Years 22

23 Conclusion Its not about Technology Value is not in Data or Analytics Sensors Comms Acquire A Cost, Investment It s all about the Beef What Value can we Deliver through Better Decision Making Change Act A Return, Value Cost, Investment A Software Analyse 23

24 Thank you Linda Roberts Manager Water Services 6 th September 2017