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3. Table of contents
3Copyright © 2016 Accenture All rights reserved.
Slide Topic
2 Disclaimer
3 Table of contents
4 Into the New
5 Disruptive digital technologies
8 Gridco challenges
9 Results digitization
11 Digital Field Worker overview
18 Digital Asset Management overview
28 Intelligent Grid Operations overview
32 Advanced Metering Operations overview
36 Digital Enterprise overview
39 Digital transformation overview
4. 4Copyright © 2016 Accenture All rights reserved.
Into the New
Grid companies face an increasing challenge to meet expectations
amid difficult market conditions and disruptive changes such as
distributed generation.
Pursuing digital transformation across the value chain is one of the
most effective and cost-efficient ways to address business
challenges, develop digital operations and enabling the discovery of
new disruptive business models. Digital transformation is
characterized by its agility and innovative approach.
This overview shows five digital enablers; Digital Field Worker,
Digital Asset Management, Intelligent Grid Operations, Advanced
Metering Operations and Digital Enterprise.
It entails initiatives such as Asset analytics, field force mobility and
ADMS. These digital enablers cover the entire depth and breadth of
digital for grid companies.
About Accenture Smart Grid Services
Accenture Smart Grid Services (ASGS) is a global organization
bringing various offerings for Grid companies (See figure).
In the Netherlands the ASGS team consists of almost 150 skilled
industry experts with deep knowledge about utilities, grid companies
and what digital can do for these companies.
The recent acquisitions of Omnetric, the Structure Group and
Mobgen provide ASGS with very deep skills and proficiency to make
a digital transformation successful.
Improve return on
capital and optimize
asset reliability
Increase productivity,
safety and efficiency of
field and support work
Improve system
efficiency and
operating point;
reduce outage time
and footprint
Improve distribution
efficiency and optimize
energy usage
Digital value realization
5. 28.1 Billion
sensors by 2020
25 Billion
connected smart devices by
2020
4.9 Billion
people with access to 4G
networks by 2018
80%
of Fortune 1000 could offer
public API by end of 2016
4.4 Billion
app users by 2017
15.9 EB
mobile data traffic per
month by 2018
Copyright © 2016 Accenture All rights reserved.
Disruptive digital technologies such as the Internet of Things, Mobility and Social are profoundly changing
the market place and should be embraced by grid companies to discover new opportunities
16.000%
Smartphone traffic to utility
websites surged when
Hurricane Sandy
313 Million
Smart meters installed
globally - forecasted 1.1
Billion by 2022
$14 Billion
Smart Grid Cyber-security
spending in NA and Europe
by 2018
CORE DIGITAL
ARCHITECTURE
ERP-SAP
(Real-time enterprise)
Operations Technology
(MES,PLC,
SCADA etc)
SocialInternet of Things
Application
Security Infrastructure
People &
Process
AnalyticsCloud
MobilityWork Place
15-25 Terabytes
per year created by 1 Million
Smart Meters
5
6. While the development of digital technologies in the marketplace is accelerating, grid companies are also
faced with industry challenges, which can be seized as an opportunity to change the business
Accelerated impact of distributed and variable energy sources in
the power system create the need to explore new technologies
and new business models
A changing eco-system with new players in the value chain
create an incentive to develop new business models and new
disruptive services
Higher customer expectations derived from experiences with
digital in other industries create the need for new digital
customer channels and services
Employees’ expectation about the use of digital to make their
jobs easier and more enriching initiates the exploration of the
digital field worker of the future
An explosion of real-time asset data and customer information
mandates dealing with big data
An aging network infrastructure mandates the deployment of
new assets, preferably digitally enabled
Copyright © 2016 Accenture All rights reserved.
Safety, security and environment concerns and tighter
regulations mandate initiatives to improve safety and
compliance
The pressure to drive costs down from multiple authorities
creates the need to be efficient and use digital technologies to
gain productivity
6
7. 7Copyright © 2016 Accenture All rights reserved.
Capital effectiveness
Incomplete view of asset state
Limited predictive maintenance capability
CAPEX constraints
Workforce efficiency
Sub-optimal task assignment and
performance monitoring
Ineffective document storage, data
capture and data management
Network operations
More new distributed power generation
to integrate in the energy network
Low returns on grid investments
Limited active grid management and
optimization of power balance
Load and consumption
Need for greater value from smart
meters investments
Immature Big Data/ Open Data
analytic capabilities
Limited results from user change
management
Operationalchallenges
Residential & SMB
Commercial & Industrial
Value chain
Smart MetersDistributionTransmission
Market Operations/
TradingGeneration
Digitalenablers
Digital Field Worker
Advanced Metering
Operations
Digital Enterprise
Digital Asset Management
Intelligent Grid Operations
Digging deeper, grid companies face multiple operational challenges that can be resolved by leveraging
five digital enablers to increase value, operational efficiency and to drive growth
8. 8Copyright © 2016 Accenture All rights reserved.
DEVELOPMENTS
ASSET MANAGEMENT MANAGING THE GRID
OPERATION
DIGITAL ENTERPRISE
AGING
INFRASTRUCTURE
CUSTOMER
DISTRIBUTED
GENERATION
HIGHER
EXPECTATIONS
FROM CUSTOMERS
& EMPLOYEES
LAW & REGULATION
NEW PLAYERS IN
THE VALUE CHAIN
THAT SEEK OUT
NEW BUSINESS
MODELS
PRESSURE ON
LOWER COSTS
SELF HEALING GRID
ADVANCED DISTRIBUTION
MANAGEMENT SYSTEM
CONTROL ROOM ANALYTICS
ASSET REGISTRATIONDATA MANAGEMENTASSET HEALTH ANALYTICS
GIS GRID PLANNING (3D)
CASE MANAGEMENT
(360O VIEW)
SOCIAL
CUSTOMER
INTERACTION
DRONE LOGISTICS
VIRTUAL
COACHING
LOCATION BASED
SCHEDULING
SMART
IDENTIFICATION
HR CLOUDPROCESS AUTOMATIONWORKFORCE OF THE FUTUREIT SECURITYDESIGN THINKINGAPI’SAGILE. DEVOPS. MULTISPEED IT
ENSURING A SAFE, RELIABLE, AFFORDABLE AND SUSTAINABLE ELECTRIC POWER GRID
Future developments and opportunities for Grid companies
9. The digital enablers digitize customer channels and assets & operations, supported by a digital way of
working, and will ultimately lead to the invention of new business models
9Copyright © 2016 Accenture All rights reserved.
New business models examples
Advanced Metering
Operations
Digital Enterprise
Digital Asset Management
Intelligent Grid Operations
Increase productivity, safety and
efficiency of field work
Improve return on capital and
optimize asset reliability
Optimize revenue on energy
delivered and system reliability
Improve distribution efficiency
and optimize energy usage
Increase productivity, safety
and efficiency of support work
Digital enablers How digital leads to new business models
Market enabler by
facilitating energy
sharing
Analytics & open data
service provider
Integrated energy
provider
Digital Field Worker
Provider of smart
home services
New digital
business models
Digital customer
channels
Digital assets &
operations
TODAY
Supported by a digital way of
working
APIs, integrated
middleware, Devops,
Design Thinking, Agile,
Automated release
management, etc.
11. Digital Field Worker initiatives create the opportunity to increase fieldworker productivity, safety and
worker engagement by leveraging data analytics, digital work management and mobile technologies
11Copyright © 2016 Accenture All rights reserved.
Key potential outcomes from Digital Field Worker initiatives
Increased performance
management and
supervision
More reliable work
requirements and safety
Field productivity and
efficiency +10% to 25%
More consistent
planning of field work,
resource management,
work order management
and logistics
Reasons to start Digital Field Worker initiatives
Limited visibility of total field work planned, undergoing and their work locations
Back office processes performed during field work are burdensome and cost time
Delays in completing field work
Implemented digital technologies are underutilized
Safety challenges given new workers and expectations
Employee engagement and retention lags behind peers
Skill gaps due to retirements and market conditions initiate new workers being
pressed to the field with less experience
Digital Field Worker initiatives
Work order management, planning &
scheduling
Field Force Analytics
Field worker support
BPO operations
Field force of the future
12. Multiple initiatives are compounded in the Digital Field Worker, which are primarily powered by
disruptive digital technologies such as wearables, mobile and process automation
12Copyright © 2016 Accenture All rights reserved.
Future Utility Workforce
Mobile devices
Gamefication
Robotics
Digital Forms
Scheduling
& Dispatching
VR & AR
Industrial IoT
Software
robotization
Social
Collaboration
Wearable Devices
Digital Field Worker initiatives
Work order
management,
planning &
scheduling
Field Force
Analytics
Location based scheduling
Digital work orders & work permits
Resource capacity planning
Digital instructions
Wearables & handheld for safety
and authorization
Field worker tracking (DTaaS)
AR for asset identification
VR learning
Remote inspection
Operational root cause analysis
Capacity & demand analytics
Field force Performance
Digital Field Worker technologies
Field worker
support
BPO operations
Additive
manufacturing
Virtual Assistance for back-office
processes
Digital GIS
Field force of the
future
Agile and liquid organizational forms
Digital learning platforms
13. 13
Vendor landscapeDigital work permit value proposition
E-vision Digital work permit
Safety
Amount of incidents will be reduced and safety will increase
because of the risk analysis and the clear communication
between maintenance and operations.
Efficiency in maintenance and lower costs
Field workers waiting time will significantly decrease.
Stability of work will increase because foremen have a clear
view on work orders with approved work permits. The control
room will also have a better overview on which assets are out
of order for maintenance work.
Improved compliance
This allows to meet targets set by different regulations on
work safety and workers protection. It also reduces the risks of
contractors being at risk and therefore liability towards third
party companies.
Current market exists out of many small and large players, with different
solutions (SAP, web based, SAP Plugin or non SAP). Most of them can be
linked to SAP to have a link to work orders.
Accenture has a partnership with e-Vision, which offers
the most mature digital work permit solution. For our
clients we are the implementation partner, and e-
Vision is the solution partner.
E-vision digital work
permit video
E-vision digital work permit
slide deck
Copyright © 2016 Accenture All rights reserved.
Digital work permits
Digital work permits increase safety, operational efficiency, productivity and reduce risk and costs
14. 14
Collect data & pre-processingAssets in the field
Digital camera
- Image/Video
Thermal imagingLIDAR
Filtering and
preprocessing
Asset Management Services
Repair
Security
Analytics Cloud
Predictive analytics based
on historial and statistical
data
Systems & processes
Integration with other
systems that generate work
orders and maintenance
planning
Analysis of data using dashboards and
KPI’s
Operational team prepares work for
field workers
Notification in case of security
breach or asset failure
Collect
asset data
Collecteddatais
storedinthecloud
forpredictive
analytics
Drones
Copyright © 2016 Accenture All rights reserved.
Remote inspection
Remote inspection using robotics and video analytics
15. Augmented Reality
Using Augmented Reality, see underground assets
15
Instructions
Have work instructions in the field on your mobile
phone or tablet
Asset identification
Scan an asset (tag) on your mobile device and receive
all relevant asset data on your mobile phone
Automate administrative processes
Through mobile applications administrative tasks, such
as asset registration, can be automated or be
performed at location
Additional use cases for Mobile
Operations
Work permit on mobile
Access supporting
documents
Supports Augmented Reality
Lock-out Tag out app
Safety
Field worker tracking via
mobile
Continuous measurement of
gas (leakage)
‘Man down’ app for
emergencies and
evacuations
Work schedule nearby
Real-time check of material,
parts and tool supply and
order it directly via mobile
Planning & material
management
Mobile Learning
Save time & expenses via
mobile
Communicate with home
office or second line support
Backoffice processes
Asset Management
Tracking of asset location
Obtain maintenance data of
an asset
Update asset data in the
field via mobile
Asset identification
Copyright © 2016 Accenture All rights reserved.
Mobile solutions
Empower field workers to work efficient, safer and smarter
16. 16
Wearables for safety
Measure biometric data to assess fatigue or stress.
Measure environmental conditions (gas leaks)
Digital identification & authorization
Through smartwatch or smart badge a field worker
gets access to a workplace or asset
Smart notifications based on location
When a field worker is dispatched, the customer
receives a push notification of his arrival time.
Over the shoulder coaching
Through a glass device a supervisor or senior field
worker can help the field worker from a distance
Tracking & navigation
Track time and location of field workers, navigate to
the work place in the field and display escape routes
Field worker gets access
to the work place via
smart badge
Smart Badge-In & Tracking explained
Difference between
planned work place and
actual work place is
identified automatically
Notification is sent to field
worker’s Smartwatch,
supervisor or contractor
Access to real-time detailed data
Through gestures or voice commands the field worker
can get access to (spoken) data (using a Google Glass
for example)
Wearable work orders
Get access to work orders on a smartwatch and directly
mark them as complete. Get more order details by
selecting the work order.
Wearable work instructions
Get access to work instructions on a smartwatch.
Copyright © 2016 Accenture All rights reserved.
Wearables
Empower the field worker to work more efficiently, safer, and smarter, while reducing training times and
improving employee and customer satisfaction
17. Client value
Maintenance of the grid is optimally scheduled because asset
data is visualized on a 3D GIS map
In the field a mobile device can be used to show underground
assets or visualize to be built assets
Use of VR/ AR glasses for a 360°
Street view or birdeye view
Multiple heatmaps can be
visualized on top of the 3D views.
For example grid capacity and
power quality – the condition of
assets.
Use an AR glass to see an additional relevant layer of
information, based on GPS coordinations
Within Augmented Reality diverse information can be shows
– for example underground pipelines.
Data quality is an important prerequisite to implement these
solutions.
Copyright © 2016 Accenture All rights reserved. 17
GIS 3D Net Planning
Use added layers of virtual reality to improve field work and asset management
19. Key potential outcomes from DAM initiatives
Predictable insights
reduce maintenance
costs by 10-20%
Greater transparency of
asset health & risk
improve asset lifetime
Capital investments
minus 5-10% through
targeted investments
Optimize grid capacity
by reducing down-time
Digital Asset Management initiatives decrease capital and operational costs and at the same time
generate predictable asset insights for improved decision making
19Copyright © 2016 Accenture All rights reserved.
Catalysts for Digital Asset Management
Analysis on asset data is historical, not predictive
Lack of visibility/prioritization of asset/ network risk
Disparate asset information
Siloed asset planning and an inconsistent approach
Increased pressure on asset reliability/ network resiliency
Shareholder pressure to improve returns on investments
Good asset data registration is necessary to enable features
such as remote switching, analytics, demand response and
outage management
Customers increasingly want to know when outages are solved
Digital Asset Management initiatives
Asset Health & Performance
Insights driven Asset Management
Asset data quality and management
Asset Registration
20. Per Digital Asset Management initiative several concrete topics can be identified that once implemented
enable the digitalization of assets
20Copyright © 2016 Accenture All rights reserved.
Digital Asset Management initiatives
Asset Health & Performance
Asset health and performance analytics for decision
making
Insights driven Asset Management
Strategy, policy and portfolio management of Asset
Management department
Asset data quality and management
Restoring and maintaining asset data
Asset Registration
Registration and management of asset information
GIS/ERP/SCADA Interface & data model
Asset Registration Platforms
Asset Registration Processes
Strategic collaboration with RealWorld (AM GIS
service provider)
Condition based Asset Management (using Iot)
Organizational Implementation and Change Management
Analytics Operating Model
Accenture Insights Platform
Asset Life Cycle Management
Asset Strategy and Policy
PAS55 /ISO 55000
Portfolio Management
Asset Data Strategy
Asset Data Cleansing (powered by RPA)
Data Model Management
Data Governance
Vectorisation
21. 21
Data
Information
Outcomes
Insight
Action
High quality data supports the
entire information value chain.
It is ultimately the foundation
for decision making and
actions.
High quality data interpreted and put
into the right context creates trusted
information.
Applying knowledge to trusted information
generates key insights and understanding.
Decisions and actions based on key insights and
understanding lead to valuable outcomes. The
opposite is true as well: remember the principle of
“garbage in, garbage out”: bad quality data leads to
bad outcomes.
To achieve the desired business outcome, Asset
Analytics can help the business infusing Analytics
into the decision making process across the
organization.
Developments in demand for high quality data at utilities
The need for high quality data in the utilities industry increases as new
challenges and opportunities arise with developments in digital and
changes in the industry
The need for
high quality data
Growing regulatory
prescriptions
Energy transition
More demanding
consumersBudget constraints
New digital
technologies
Aging network
infrastructure
Aging Workforce
Collaboration
Copyright © 2016 Accenture All rights reserved.
Asset Data Management
Data as foundation for the desired outcomes
22. 22
Continuous
Learning
Live Expert Assisted
Service
(Social) Self ServiceVirtual Assistant
It uses a continuous learning loop
to gradually automate more
interactions and provide better
services.
Customer Experience
Cost Effectiveness
Customer Experience
Cost Effectiveness
Customer Experience
Cost Effectiveness
It combines Artificial Intelligence,
social and live expert customer
service, routing high-value
interactions to live experts.
21
88%
60%
68%
Customer Satisfaction Rate
Conversation with
a Live Agent
Conversation with
Artificial
Intelligence
Digital
Assistant
Optimal mix
between Live Chat
and Artificial
Intelligence
Copyright © 2016 Accenture All rights reserved.
Accenture Digital Assistant
A game-changing digital customer interaction solution that drives superior customer
service at a radically lower operational cost through immediate and relevant customer
recommendations by interacting in an natural human way (Natural Language
Processing).
Customer satisfaction
Reach the highest customer service effectiveness and efficiency. The Digital
Assistant will compute in real-time when to hand-over conversation.
Virtual Assistant
A virtual assistant to manage the asset portfolio will increase customer service satisfaction and efficiency
23. Maintenance maturityMove to Predictive Maintenance
Predictive Maintenance enables
forecasting issues before they happen.
This frees up the maintenance budget
and decreases the number of asset
failures.
23Copyright © 2016 Accenture All rights reserved.
Identify equipment that is likely to fail
Steps to reach Predictive Maintenance
Prioritize problems based on
business impact
Optimize maintenance plan
Determine root cause(s) of failure
Build Analytical Models to analyze and
predict equipment failure
Deploy the solution
Predict equipment failure
Time-interval based maintenance
Investing in replacing assets
Asset condition data not available
Maintenance based on suppliers’
recommendations
Optimized maintenance planning
Less failures & outages
Extended asset life cycle
Level of competence
Predictive
RiskbasedCondition
monitoring
PreventiveCorrective
0
1
4
5
2
3
Breakdown
maintenance
Planned
maintenance
Preventive
maintenance
Condition based
maintenance
Risk based
maintenance
Performance based
maintenance
?
Predictive Maintenance
Moving to predictive maintenance frees up the maintenance budget and improves asset lifecycles
24. æ
Start the analytics journey
Use the incubator approach to define value with analytics.
And choose from a set of pre-configured tools to speed up time to
market.
Build models & dashboards
Use models and dashboards to
visualize data and create
action plans.
24Copyright © 2016 Accenture All rights reserved.
Asset Health Monitoring
Determining the Health of technical assets is
critical to the planning and execution of
maintenance actions. It allows to act right
before failure, minimizing the number of
interruptions in the supply of electricity and
thus contributing decisively to Quality of Service
improvement while enhancing assets
performance and remaining life time.
Quality of Service Indicators & Performance
SAIFI / SAIDI / MAIFI
Condition monitoring
Inspections, tests, analysis
FMEA
Causes / Failure effect
Asset Health Indicators
Health Index
Probability of failure
Remaining lifetime
Recondition
Replace
Refurbish
Repair
Transfer
Disassemble
CAPEX OPEX
Accenture
Insights Platform
Asset Analytics
Make improved decisions through asset analytics to support asset maintenance strategy, investment
planning, risk management and regulatory reporting
26. 26Copyright © 2016 Accenture All rights reserved.
Reasons to start Intelligent Grid Operations initiatives
More new distributed generation to integrate
Reactive approach to outages & need to reduce outage duration
Sub-optimal system efficiency (energy & asset utilization)
Limited active grid control and low control of supply and demand (supply peaks
from distributed energy)
Disparate data sources and lack of situational awareness
Highly customized systems and isolated from each other
Key potential outcomes from IGO initiatives
Enable deployment of
distributed energy
through power & capacity
control
Lower grid operational
costs
-25% equipment outages
and less outage impact
Optimized grid reliability
and adherence to
regulatory
Intelligent Grid Operations initiatives improve network capabilities and minimize outages by improving
system efficiencies and leveraging new data sources and sensors
Intelligent Grid Operations Digital initiatives
Cyber security
Advanced Distribution Management
System (ADMS)
Analytics in the control room
27. 27Copyright © 2016 Accenture All rights reserved.
IGO initiatives focus on improving the system to manage the grid by integrating real-time analytics and
intelligent devices into the grid infrastructure
ADMS
Advanced Distribution
Management System
OMS
SCADA
DMS
applications
Graphical user
interface
Other (i.e.
Historian)
A single, more efficiently managed
platform that supports the full suite
of distribution management
features.
Intelligent Grid Operations initiatives
Cyber security
ADMS
Analytics in the
control room
Security and risk assessment on prevention, detection and recovery
Security operations outsourcing
Transforming the control room in an integrated decision
center
Improve response time by providing an integrated overview
of risk situations
Reduce maintenance cost by automating and integrating
application
Reduce operational costs by optimizing the use of grid assets
Gain insight in the performance of individual assets
Deployment of ADMS & control room analytics to gain situational
awareness
Advanced Analytics on energy demand and supply to improve forecast
28. 28Copyright © 2016 Accenture All rights reserved.
Preventive maintenance - Woodside
Predictive models allow process control
engineers to monitor top 500 parameters of
LNG plant in real-time.
• 200,000 rows of sensor data injected
every minute
• 3,500 predictive analytics models
executed every 10 minutes
Predictive Process Control - Process and
Surveillance engineers are using analytics to
predict and prevent process control incidents
that may result in production losses or health
and safety issues.
Predictive Equipment Failure - Reliability
engineers are using analytics to predict
equipment failure and plan maintenance
more proactively leading to increased
reliability.
Key potential outcomes from IGO initiatives
Enable deployment of
distributed energy
through power & capacity
control
Lower grid operational
costs
-25% equipment outages
and less outage impact
Optimized grid reliability
and adherence to
regulatory
Platform bringing together the technological
elements that enable:
• Awareness of balancing issues in a
environment with ever increasing
contribution of renewables energy sources
• Near-real time analytical view of the
expenditure trends in major areas of cost
• Greater visibility in near real-time of
planned and unplanned constraints and
track costs against budget
• Identification of contingencies ahead of
time and support post-fact explanation of
avoided network risks and actions taken
A tool for understanding the risk levels
associated with different levels of renewables
generation and associated inertia of the
system
Situational Awareness – National Grid
Real time and Predictive analytics for Planners,
Operators and engineers to make more
informed process control and plant
management decisions.
Predictive analytics for reliability engineers to
improve maintenance decisions.
A flexible and scalable real time analytics
platform that enables:
• Greater flexibility to respond to varying
operating conditions
• Improved management of assets through
smarter use of existing data and systems
• Increased low cost production volumes
through production plan optimizer
• Measureable reliability improvements
through predictive maintenance
Control room analytics – Thames water
Analytics in the control room
Create value from data by improving network capabilities, reducing costs and minimizing outages
29. 29Copyright © 2016 Accenture All rights reserved.
Smarter equipment
The capabilities of traditional field
equipment can be expanded
significantly by integration with
main control platforms.
Assets that previously performed
one simple task can now send real-
time data to the control platforms
and receive operational
instructions from the command
center. This is enabled through a
network of smart sensors and
actuators talking to each other (The
Internet of Things (IoT)).
Benefits of integrating field assets with IT infrastructure
IT/OT integration
Linking field assets to the smart grid IT infrastructure using IoT results in major new grid capabilities
Expanded functions and
decision support
Reduce complexity of grid
automation
Real-time monitoring and
controlling of assets
Smarter, more sophisticated
functionality in traditional
equipment
More devices and equipment
interconnected and exchanging
data
Sense and Act
Through sensors and
actuators
Analyze and visualize
Utilizing Big data and
analytics
Communicate
Through a wide variety of
networks
30. 30Copyright © 2016 Accenture All rights reserved.
Digital Field Worker
Advanced Metering Operations
31. Advanced Metering Operations initiatives improve the end-to-end process of smart meter roll out and
focus on valuable steps during and after the smart meter roll-out
31Copyright © 2016 Accenture All rights reserved.
Key potential outcomes from AMO initiatives
When to start Advanced Metering Operations initiatives
Currently, we recognize multiple challenges in the meter roll-out phase:
Grid operators are facing temporary peaks in the workload due to planning issues, client
appointments, etc., therefore it is difficult to meet the ambitious smart meter roll-out deadline
in 2020 and budget
Grid operators struggle with realizing the energy saving goals
How to optimize customer interaction during and after smart meter roll-out
After 2020 we see more challenges when the roll-out phases into maintaining smart meters
There is a need for greater value from Smart meter data and there’s difficulty to translate meter
data into actionable insights
How to manage the costs of maintaining the smart meters and how do we decrease costs for the
customer?
Reduced end-to-end
smart metering roll-out
spend by 20-30%
Ability to meet roll-out
deadlines
Valuable smart meter
analytics that generate
actionable insights
Tracking the energy
savings and realizing the
saving goals
AMO Digital initiatives
Security & safety
Cost reduction
Smart metering operations
Asset & material tracking
32. AMO initiatives can be divided into 4 categories - each category encompasses Digital opportunities to
improve smart metering processes
32Copyright © 2016 Accenture All rights reserved.
AMO initiatives
2. Security & safety
1. Cost reduction 3. Smart metering operations
Digital workforce for smart meter roll-
out
Smart Meter Operations Center for
theft prevention and asset base control
Simulations for long-term planning Meter analytics & insights
Enabling targeted demand response
Automated smart meter maintenance
Automated event management
Planning & dispatching
3. Asset & material tracking
Smart Meter Operations Center
Platform for supply and demand of
work orders regarding smart meters
Capabilities needed
Manage materials, fleet, storeroom
Supply chain management
Work order management
Scheduling & dispatching
Route optimization
Cost & value tracking
Exception handling
Customer care
Quality assurance
Event handling
Data facilitation
33. 33
Smart meter intelligence for decision making
Obtain intelligence from smart meter data for decision making operational
efficiency, safety, planning and return on assets
Combine smart meter data with third-party data for added value
Establish priorities of analytics use cases in different business units
Identify potential theft cases by evaluating usage pattern and meter
events/alarms
Integrated analytics tool with the work management system (WMS) so
analysis results directly initiate field/back office investigation orders. This
ensures that all potential theft cases are properly investigated and
resolved
CIS
Customer
interface
Billing
generation
Theft
protection
Load
forecast &
settlement
Installation &
Maintenance
Distribution
planning &
Operation
Outage
management
Demand
response
MgmtOutage
mgmt.
system
Meter data
repository
Copyright © 2016 Accenture All rights reserved.
Smart meter analytics & insights
Maximizing the value of smart meter data and translating it into actionable insights for decision making
34. 34
End-to-End
Technology
Typical
Zero-Day
Provisioning
Expertise in
Industry and
Domain Application
Development
Flexible
Commercials
Best Practice
Security
24x7
Global Support
Simplify Information Technology
• Ready-to-use end-to-end product with a
single point of accountability
• Brings together leading practice on data
management, insight generation, models
and techniques
• Designed to be future-proof, making it
easy to expand to new technologies and
workloads
• Supports a wide variety of types of work:
big data, data discovery, proof-of-
concepts, and applications
• Integrated, best-in-class enterprise-
ready security
Speed to Business Insight
• Provisions an analytics platform within
24 hours
• Generates actionable insights within 6-
10 weeks
• Scalable on demand from proof of
concept to enterprise deployment
• Enables project teams to prove
prototypes or fail fast
• Growing library of industry-focused
analytics use cases and solutions with
proven ability to drive value
Flexible and Attractive Commercials
• Offers a cost-competitive model – best
pre-negotiated Accenture price
• Consumption based – pay by the drink
pricing
• Try, then buy – minimal up-front
investment
• Allows for financing as ongoing
operational expenses vs. Capital
investment
• Multiple consumption models to
optimize the delivery costs of analytics
Copyright © 2016 Accenture All rights reserved.
Accenture insights platform (AIP) provides insights in business opportunities and delivers actionable
outcomes
36. Digital improves functions such as HR, Finance, Procurement and IT, which power the core and enable
digital disruption
36Copyright © 2016 Accenture All rights reserved.
Key potential outcomes from Digital Enterprise initiatives
Why start Digital Enterprise initiatives
Operating model
Disparate IT architecture and complex landscape of platforms
Integration challenges between OT and IT
Commercial optimization
Lack of integrated customer data and insights
Workforce
Losing expertise due to aging workforce
High spend on managing the workforce
Financials
Lack of real-time visibility in financial/ profitability data
Infrastructure
Sales &
MarketingHR
Finance &
reporting
Purchasing
Procurement
IT
Project &
program
management
People &
Processes
Security
Inventory
Warehousing
Supply chain
Logistics
Transport
Application
s
CORE
Flexible and integrated
IT architecture (including
IT/ OT integration)
Reduced enterprise
spend and the right
talent at the right place
Real-time insights in
workforce and customer
data for improved &
autonomous decision
making
Improved financial
control and end-to-end
visibility of profitability
Digital Enterprise initiatives fall into these functions
37. Digitize support functions and customer channels by software robotization, and by developing a digital
architecture leveraging the New IT – all powering the core of a Digital organization
37Copyright © 2016 Accenture All rights reserved.
Digital Enterprise initiatives
Customer analytics
Social media monitoring
HR Analytics to gain insights in the workforce (i.e.
distribution and coverage of skills across locations)
Mobile HR processes
Transformation to Workforce of the Future
Digital learning platform (e.g. Workday Human
Capital Management)
Self-service human capital platforms
Sales & margins analytics
Enterprise performance management app’s
Digital & integrated Performance Management
HR
Sales &
Marketing
Procurement analytics and dashboard
Supplier network and virtual supplier rooms
Self-service procurement portals for users/ buyers
Multi-Speed IT/ Devops/ Agile
Hybrid Cloud
Blockchain
Analytics platform & big data services (i.e. AIP)
IT infrastructure services
Robotics Process Automation (RPA) to automate
back-office processes, such as the new hire
process, or purchase-to-pay
Digital Virtual assistant (i.e. Amelia, Watson)
The New IT
Finance &
reporting
Procurement
& purchasing
Software
robotization
38. 38
Robotic Process Automation
Robotic Process Automation is the use of software to mimic the actions a human user would perform on a
PC at scale to automate business processes that are highly repetitive, rule-based and use structured data
Specialized Simple
Processvalue
1 2 3 4
Robotics Application Field
1
Complex processes covered by e.g. ERP,
CRM, Claims
2 Covered by specialized solutions, e.g. BPMS
3 Robotics Application Field
4 Simple Scripting Tools
Legend:
What is RPA?
Automation driven efficiency reduces transactional errors, while allowing knowledge based talent
to focus on high value judgment-based analysis decision making, translating to innovation, and
business outcomes.
1. Large Volumes
The operation to be automated
with the use of RPA are
characterized by large sets of
repetitive tasks.
2. Stable Process
3. No human
interaction
The operations are not changing
overtime and require same
sequence of work over and over
again.
No manual inputs, i.e. no natural
language processing. Standardized
emails can be send out.
The operations are characterized
by singe input and singe output, i.e.
no multi-variable operations.
The triggers and inputs to initiate
the automation are come in a
standard, pre-defined format.
No intelligent/human decision can
be automated., i.e. the process is
repetitive and follows a set of pre-
defined process steps
4. Pre-defined
decision tree
5. Fixed in- and
outputs
6. No Cognitive/
intelligent
decision
Robotics application field
Copyright © 2016 Accenture All rights reserved.
39. A Digital transformation starts with a vision and agile execution, balancing short and long term initiatives -
The collectiveness of Digital initiatives will sprout the invention of new business models
39Copyright © 2016 Accenture All rights reserved.
FieldWorker 2016 2017 2018 2019AssetManagement
Intelligent Grid Operations Advanced
Metering Ops.
New Business modelsDigital Enterprise
Ambition of the new
digital Grid company
To develop disruptive
new business models, a
number of ingredients is
required
Vision
Proto-
type
Capa-
bi-
lities Road
map
Top-level
commitment
Documented &
aligned vision
Implemented
prototype of the
digital supply chain
Determined
capabilities for a
disruptive digital
organization
Documented
roadmap to realize
the vision
Transformation map
Quick
win A
Initiative
B
Initiative
C
Initiative
A
Quick
win B
The Transformation map defines different initiatives and maturity stages for different
digital enablers. Development of digital initiatives happens in an agile fashion.
40. Digital transformation is about agility and being able to react quickly to future challenges rather than a
linear and gradual strategic execution
40Copyright © 2016 Accenture All rights reserved.
Outcomes of digital transformation journey
Connected products and services
Always beta, always better
Every product is a service waiting to
happen
Mass customization
Networked innovation and industry
system
Every action creates data
Platforming
Over-the-top
Digital transformation
Implement quick wins
& pilot
Adjust, scale, run,
improve
Digital value assessment
Assess current state
Set direction
Identify gaps
Identify digital
industry trends
Assess IT systems
and organization
Implement quick wins
Develop pilot
Focus transformation
on organization,
workforce,
governance &
partnerships
Establish governance
Develop
implementation plan
Deploy change &
training
Deploy digital
services in new
markets
Continuous learning
Methods
Breakthrough
innovation
workshops
Prime Value
Chain Analysis
Design Thinking
& rapid prototyping
A. State of the art operations
B. State of the art customer channels
C. Digital enabled business models
Inspiration
visits
Continuous innovation,
continuous improvement
41. Digital Execution Hub
The Digital hub enables an organization to optimally create new digital operations and business models
41Copyright © 2016 Accenture All rights reserved.
Guiding principles
Creative environment
Design Thinking
(Outside-in, journey driven)
Digital minds
Agile and flexible way of working
Latest technology and prototyping
approach
Organized separately with
authorization, but in close
collaboration with running business
The Digital Hub
Digital Operations Digital Enterprise Digital Assets
BU1 IT
Design
Proto & MVP
Digital Factory – Platform Enabled
Mobile Analytics SecurityIoT API
BU2 IT BU.. IT
Digital Cockpit
• BU Relationship Management
• Digital Portfolio Management
• Business Case Development
• Digital Strategy
• Control Digital Transformation
• Digital Engine
DigitalHub
Ideate
Innovate
Design
Control
Prototype
Enable
Deliver& Run
• Innovation Enablement
• Partner EcoSystem
• Digital Market Watch
Digital Markets
BU.. IT
42. Breakthrough innovation workshops
Understand and respond to the issues your clients are facing, by performing a breakthrough innovation
workshop
42Copyright © 2016 Accenture All rights reserved.
Breakthrough innovation
workshop
With a breakthrough workshop,
we help our client think
differently. To become truly
digital, reinvention is vital. It’s
rapid creative thinking that will
be directly applied to the
business situation.
Discover Describe Prototype
Test Implement
Ingredients of a breakthrough innovation workshop
Challenge usual business, “the rules of the game”
“The electric light did not
come from the continuous
improvement of candles”
Recognizing trends
EXAMPLE: Why don’t supermarket offer lanes for
premium customers too? Loyal customers with
many items can’t use lanes for 10 items or less.
Distributed energy increases capacity
People want to be energy self-sufficient and
may disconnect from the grid
More focus on electricity instead of natural gas
Co-design innovations
We take a group of participants through a rapid co-
design process, characterized by rapid iterations
and escalating prototypes to test and refine ideas.
The output is usually sketches, storyboards, and /
or videos, making the suggested solutions tangible
and easy to communicate, all the way to working
prototypes.
Identify unvoiced needs
EXAMPLE: Square
watermelons in
Japan. Small
households had to
put it on shelves, but
there’s a risk of to fall
off the shelf.
43. For more information:
43Copyright © 2016 Accenture All rights reserved.
Henk Bijl
Accenture Smart Grid Services
henk.bijl@accenture.com
+31 6 224 696 05
+31 20 493 85 20
Roy Ikink
Accenture Smart Grid Services
roy.ikink@accenture.com
+31 6 224 684 85
+31 20 493 85 28
Editor's Notes More new distributed generation to integrate
Reactive approach to outages & need to reduce outage duration
Sub-optimal system efficiency (energy & asset utilization)
Limited active grid control and low control of supply and demand (supply peaks from distributed energy)
Disparate data sources and lack of situational awareness
Highly customized systems and isolated from each other
RB