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Impact of Industrial IoT (IIoT) on Global
Power Industry
A Frost & Sullivan Briefing
February 2020
2
Exponential Growth is the Common Strategic Imperative for Organizations
Geo-Political Change
Transformative
Mega Trends
Diversified Organization
Vision & Mission
Competitive
Intensity
Innovative
Business Models
Industry
Convergence
Technology Disruption
DISRUPT
COLLAPSE
TRANSFORM
Customer Value Chain,
Dynamics & Application
3
Frost & Sullivan’s Research Framework Innovation Kaleidoscope
Industry
Mega
Trends
Disruptive
Technologies
Prepare
for the
Future
4
Mega Trend Universe Transformative, global forces that define the future
Image Source: Flaticon.com Source: Frost & Sullivan
Top Technology
Buzz For The Future
Examples
Blockchain I Quantum
Computing I
Connected Vehicles I
Sensorization of
Devices | Wearable
Devices | Digital
Currency | Personal
Robots | Flexible
Electronics | Powered
Exoskeletons |
Nanobots I Bio-
Batteries I
CONNECTIVITY &
CONVERGENCE
Augmented Reality/
Virtual World
Big Data
Connected Living
Space Jam
3D/4D Printing
Machine Learning
Quantum
Computing
Neuromorphic
Computing
COGNITIVE ERA
Integrated Omni-
channel Marketing
New Retail Logistics
Models
Interactive Stores
Digital Kiosks
BRICKS &
CLICKS
SMART IS THE
NEW GREEN
Smart Cities
Smart Technologies
Smart Products
Gen Y
Reverse Brain Drain
Heterogeneous Society
She-economy
Middle Class
SOCIAL TRENDS
Co-creation
Circular Economy
Personalization &
Customization
Sharing
value for Money
NEW BUSINESS
MODELS
INNOVATING TO ZERO
Zero vision at work
Carbon Neutral Cities
Zero target by Cities
ECONOMIC TRENDS
Future of resources
Africa as the Growing
Market
Next Game Changers
URBANIZATION: CITY
AS A CUSTOMER
Mega Corridors
Mega Cities
Mega Regions
Mega Slums
Transport Infrastructure
Deep Sea Mining
Future of Water Infrastructure
High-Speed Rail
FUTURE OF INFRASTRUCTURE
DEVELOPMENT FUTURE OF ENERGY FUTURE OF MOBILITY
Micro-Mobility
Autonomous Cars
Car Sharing
Telematics Based Insurance
Integrated Mobility
Connected Cars
Digital energy
Energy Harvesting
Smart Grids
Renewable Mix
Energy Storage
Virtual Power Plants
Non Invasive
Surgery
Mind, Body, Soul
E-Health, M-Health
Gene Therapy
HEALTH WELLNESS
& WELL-BEING
5
IIoT Fundamentals—What Does IIoT Bring to the Table? IIoT provides optimization by leveraging on digital technology. This includes the aspect of digital security as well.
Source: Frost & Sullivan
Augmented Reality (AR) and
Virtual Reality (VR)
Big Data
Connectivity
Edge Intelligence
Sensors 4.0 Cyber Security—End to End
Biometric Security
Surveillance
Emerging technologies in the IIoT
space
Emerging security themes in the IIoT
space
The technological aspect forms the first
backbone of IIoT, as multiple
technological concepts are combined
to achieve capabilities and,
consequently, efficiency.
Technological
As the transition from analog to digital
takes place, security becomes
fundamental to protect information.
Cybersecurity and physical security,
therefore, will become pivotal as the
adoption of IIoT surges.
Security
When a process consisting of different
digitally tracked assets is analyzed to
derive actionable intelligence, it gives
rise to new-found capabilities.
Capabilities
New-found capabilities
Remote Monitoring
Predictive Maintenance
Energy Efficiency
Data Accessibility and
Gathering
6
IIoT Fundamentals—Bringing Different Digital Technologies Together A combination of hardware and software brought about by custom requirements is what makes the concept of IIoT an
opportunity not to miss.
Source: Frost & Sullivan
Bu
ild
ing
Blo
cks
Valu
e
Gen
era
tio
n
Through advanced
sensing, accessibility to
machine data will
become easier than ever
before. This can be
leveraged on by
manufacturers to
analyze and understand
machine performance.
Big Data can help solve
patterns and,
consequently, provide
relevant information
where analysis of data
holds significant
potential for a process.
By shifting computing to
the edge, processing
reduces and creates the
flow of processed data
directly from the edge or
data source. This
eliminates any need for
additional processing of
data.
Augmented reality can
help the user to
experience current
reality more effectively,
while virtual reality can
expose the user to a
completely different
reality from his current
position.
An
cilla
ry
Blo
cks
Connected
Drones Industrial Cloud Connectivity
Artificial
Intelligence
Sensors 4.0 Big Data Edge Intelligence AR and VR
7
The Core Elements of Digital Transformation The digitalisation of energy technology and systems is generating new customer centric business models leading to
democratisation of energy
Source: Frost & Sullivan
Traditional
World: From …
Digital
Future: To … Future of Energy
Products
Analog
Closed
Compete
Niche
Vendors
Own
Individually Optimised
Services & Outcomes
Digital
Open
Collaborate
End-to-End
Partners
Share
Overall Optimisation
Savings as a Service, performance
contracting
Smart grid, demand response,
automated trading
Open innovation, co-creation,
compatibility
Partnership, collaboration,
skill sharing
Integrated energy solutions, generation
optimisation
Digital platforms, managed services,
personalisation
Energy sharing, peer 2 peer models,
democratisation
Business Outcomes, Smart city, Society
5.0
Transformation
Enablers
Digitisation
Data
Connectivity
Artificial Intelligence
Cloud
8
Business Challenges Faced by Power Utilities Conventional forms of generation are being directly challenged by renewable energy, and a declining electricity demand trend is
adding to their woes
Source: Frost & Sullivan
Challenge About Threat Level
RoI Issues
Energy utilities are facing a threat of decreasing economic return due to a combination of factors.
These include, weakening demand for power, competition, certain electricity market obligations,
and lack of inhouse innovation.
Weak Demand
Organisation for Economic Co-operation and Development (OECD) countries are facing a
situation where the demand for power has been stagnant or decreasing, a clear negative for
energy utilities operating from the OECD region.
Competition
Threat from competition exists in power generation, which is illustrated by the decline in orders for
conventional generation turbines, owing to the flourishment of renewable energy across the globe.
Market Challenges
Certain power generation markets are quite challenging to sustain owing to enforcement of
regulations, one of the factor which energy utilities ought to tackle.
Lack of Digital
Innovation
Lack of digital innovation in power generation utilities is not a negative but puts them at a
disadvantage in the longer run, as they are missing out on cost optimization off running their
power plants.
1 2 3 4 5
High
1 2 3 4 5
High
1 2 3 4 5
High
1 2 3 4 5
High
1 2 3 4 5
Medium
9
Where Can the IIoT Concept be Applied in the Power Sector?
Source: Frost & Sullivan
Power Generation
When it comes to making a power plant smarter, connected devices that have the capacity to monitor, analyze, and provide useful information with minimal maintenance to plant operators, will be interesting from their standpoint. Proof of future economic incentive to do so must be showcased by solution providers. 1
Consumers
The advent of smart metering and other smart home based energy products offers retail-based IIoT solution providers a ripe proposition to target at.
3
Consumer Applications
Electrification of transport and distributed energy provides IIoT solution providers an opportunity to investigate, plan, and develop solutions, as the retail landscape continues to evolve.
4
Transmission and Distribution
IIoT-based solutions that help in the maintenance of transmission and distribution lines with minimal manual intervention is likely to be interesting, as it reduces manual oversight but increases the overall efficiency of the maintenance process by continuous monitoring.
2
10
How Can IIoT Help Tackle These Challenges? Power plants, imbibed with digital capabilities, supported by a combination of advanced hardware and software, will lead to
digitally agile, flexible, and highly efficient power plants in the future.
Source: Frost & Sullivan
Power Plant 4.0, 2018–2030
4.0 Hardware
• IoT Application
• Enterprise Application
• Middleware
• Device Management Platform
• Application Enablement Platform
• Network Management Platform
• Embedded Operating System
Software
• Sensors
• Scanners
• Transceivers
• Displays
• Gateways and Monitors
• Robotics and Drones
• Wearable's
• Automated Systems
Combined Approach
Agile digital mechanisms designed for
monitoring and analyzing power plant
equipment are installed across the plant.
Digital Agility
Better ability to respond to flexibility
needs of the electrical system due to the
support provided by digital systems
installed across the power plant.
Flexibility
The potential efficiency range of 65% to
85% of plant operation is enabled due
digital systems.
Efficiency
Plant Capabilities
11
Source: GE; Frost & Sullivan
Case Study— Flexibility and Cost Savings at Irish CCGT Plant The case for plant optimization needs to be addressed by utilities, as they stand to save on
opportunity costs.
Image Source: Pixabay
Key: APM—Asset Performance Management
Whitegate CCGT Plant Smart Sensor
Based in Cork, Ireland, Bord Gais’s Whitegate gas combined-cycle power plant provides 10% of the power to Ireland. With
increase in renewable power generation, it is necessary for the on-demand capacity of this plant to be available. This has
created a case for continuous monitoring of the plant to prevent any downtime. Challenge
Hardware Data Generation Intelligence
Throughout the plant, a total of 141 sensors
have been placed to monitor the hardware.
These sensors transmit hardware
information data to GE’s APM platform
where data is collated and is analyzed to
identify intelligence and provide
recommendations.
Based on recommendations,
representatives and engineers of Bord
Gais take appropriate actions in a timely
manner.
€1.22 million of cost has
been avoided as a result of this
implementation.
Two way
communication
Notification
to operator
12
Source: Emerson Automation; Frost & Sullivan
Longview coal power plant in the US has been facing challenges with regard to operational efficiency that posed a threat
to its ability to provide continuous power supply to the grid. Challenge
Case Study— Operational Efficiency Improvement and Stable Base
Load at Longview Coal Power Plant through Digitalization
Emissions
Boiler Mills Fuel Supply
Management
Cooling Tower
Rotating Assets
Accessories
Steam Turbine
Generator Electrical
Implementing automation and devising new architecture has
improved the overall efficiency by 15% to 20% which is a positive.
Throughought the plant, existing controls were replaced with
fast-track controls.
Hardware Controls
Emerson devised a new automation system architecture and made
efficiency improvements, both hardware and software wise, to
existing plant operation strategies.
Automation Architecture
Efficiency
13
Source: Frost & Sullivan
Can IIoT Help in Making T&D Grids Smarter? Driven by a combination of factors, such as distributed energy, smarter grids, and asset optimization, transmission and
distribution will require efficient co-operation between IT and OT for optimal functioning.
Image Source: Pixabay; Siemens
Distributed Energy Smart Grids, Including
Micro Grids Asset Optimization
Increase in the number of
distributed assets that require grid
connectivity
Enables widespread real-time
communication of data across the
grid
Makes T&D assets function smartly
and efficiently
14
Source: Frost & Sullivan
Frost & Sullivan’s Approach to Framing an IIoT Solution for T&D An effective end-to-end approach is essential to monitor transmission and distribution infrastructure. This also requires the
flexibility to monitor separate equipment that are a part of the network.
Challenge End-to-end Monitoring
(ETE) Line Monitoring Infrastructure Monitoring
Sub-network
Monitoring
Approach
Starting from point A
(generation plant) till the
last-mile endpoint B (distribution
substation), the entire line of T&D
infrastructure is monitored using a
combination of IIoT-based solutions.
It involves monitoring of
transmission lines through
IIoT solutions. This involves
monitoring multiple nodes
between point A and point
B.
It involved monitoring of
transmission infrastructure (e.g.,
transformers) through IIoT solutions.
This involves monitoring multiple
nodes between point A and
point B.
It involves monitoring of micro-
grids and networks that
consume power locally, in
addition to centralized power.
This involves monitoring of
nodes connecting point A and
point B.
Aspects
Hardware Deployment:
Deployment of sensors and communication devices at key strategic locations
Analytics:
Deployment of analytical infrastructure to analyze incoming data
User Platform:
Devising a user platform and interface for the end user to process information and act on it
Cybersecurity:
Devising a cybersecurity strategy in order to keep the assets protected and invulnerable
15
Source: MIR Innovation; Frost & Sullivan
Case Study - MIR Innovation and New York Power Authority (NYPA):
T&D Inspection and Maintenance Leveraging advanced robotics and technology to analyze and monitor transmission and distribution assets.
Key: 1. MIR Innovation is the marketing arm of Hydro Quebec. Product research and development is undertaken by Hydro-Quebec Research Institute.
2. NYPA is evaluating LineScout and is considering licensing.
The New York Power Authority, is the largest state
public power organization in the US. It operates more
than 2,253 circuit km of transmission lines.
MIR (stands for maintenance, inspection and
robotics), a subsidiary of Hydro Quebec, specializes
in efficient electrical utility asset management by
employing technological innovations.
Product Overview
Name LineScout
Description A robotic platform designed to inspect and analyze overhead transmission
lines remotely
Scope High voltage transmission and distribution lines
LineScout in operation
Image Source: MIR Innovation
In addition to LineScout, MIR Innovation offers various solutions, such as LineRover, LineCore, and
Drones, in the same segment, indicating that the company is entrenched in robotic innovations that
manage and monitor electrical utility assets.
16
Source: Frost & Sullivan
How is the Electricity Retail Landscape Shifting? Surge in uptake of electric vehicles, continued rollout of smart meters, energy contribution from the demand side, and a smarter
grid, together, are setting the groundwork for the future’s electricity retail landscape.
Electrification of Transport Smart Metering
Demand Response Grid Intelligence
17
Source: Frost & Sullivan
Electrification of Transport
There has been an increase in electrification of transport year on year. Frost & Sullivan forecasts 86 million new passenger electric vehicles to be on road between 2019 and 2025. This means that its impact on grid supply and demand is likely to increase step-wise, proportional to the increase in EV fleet size globally. Additionally the amount of EV-related infrastructure and management solutions that are required to enable the uptake have to be considered. 1
Demand Response
Demand response is likely to play an increasing role in balancing the electricity system with bi-directional flow of electricity starting to be the norm. With peak shaving and cost reduction being the aim, the market for demand response is increasing year on year. This presents an opportunity for grid-based analytical solution providers to showcase their capabilities leveraging on IIoT. 3
Grid Intelligence
With the trend of smart grids, electrification of transport, and demand response, the importance of grid intelligence becomes a fundamental necessity to efficiently manage the distribution system and identify opportunity areas. Therefore, utilities are increasing their focus on grid intelligence solutions.
4
Smart Metering
With European policy aiming to achieve a smart meter penetration rate of 80% by 2020 and the US heading for 100% penetration rate by 2025, the case for improving grid infrastructure and the focus on reducing non-technical losses is apparent. Smart metering also means that the consumer’s consumption data can be tracked and leveraged on as fit, which is a key positive.
2
Shifting Electricity Retail Landscape The impact of the following trends on the electricity distribution system will be significant toward 2020 and beyond.
18
Charging time
Power consumption
Charging station occupancy
Number of charging ports
Amount of time the vehicle
is connected
Frequency of
charging
Electrical asset health
Electrical network
monitoring data
Owner cash
flow data
Source: renewz; Frost & Sullivan
Case Study—IoT-enabled Charging Station: A Data Hub A number of data points in a charging station can be tracked and analyzed, giving rise to a hub of intelligence during the
interaction between the consumer and the charging station.
IIoT in Power: Key Charging Station Data Metrics
19
Source: Frost & Sullivan
Digital Energy Innovation Hotspots The highest intensity of innovation is focused on leveraging IoT technology across the energy ecosystem
Generation Trading
Transmission
& Distribution Retail Consumption
Big Data, IoT,
cloud, AI &
machine learning
Connection &
integration
Cyber Security
New business
models
Customer
engagement
tools
Energy Cyber Security
Predictive Maintenance Trading Optimisation
Autonomous Grids Tariff Optimization
Active Energy Management
Storage Smart Metering
Renewables Integration
VPP
Grid
Optimization
Demand Response
Distributed Energy
Automated Trading Micro-
Grids
Peer to Peer Models Electric Mobility
C&I Energy Optimisation Home Energy Management
20
Source: Frost & Sullivan
What Should be the IIoT Approach Strategy for Energy Utilities? The business case to implement the Industrial Concept of Things needs to be addressed, as this is a clear opportunity that
needs to be capitalized upon.
Business Case for Digital
Transformation
Adopting A Methodology
Aspects of IoT Coverage
Asset Pooling
Maintenance
Monetization
Identification of Business Case
Presence of a clear business case in asset
sites that are yet to implement any form of
digital transformation
Technology, Security and Capabilities
Monitoring existing hardware through smart
devices, collating and analyzing data,
deriving intelligence, IoT network—security
protected
Operational Maintenance
Maintaining operational supremacy by
consistently carrying out maintenance
activities based on IoT recommendations
Decision Making
Single/multiple solution providers,
application/platform development, approach
to data security and maintenance
Scaling
Scaling the implementation of a single
working solution for an asset to multiple
assets forming a portfolio
Identification of Parties
Identifying parties that are interested in
monetizing data for enhancing economic
return