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Prospering from the Energy Revolution (PFER)
Six in Sixty Mini Series
Episode 4: Infrastructure & Technology
Thursday 3rd February 2022
Today’s Agenda
10.00 Welcome & Introduction to PFER | Damien Kelly, Innovate UK
10:03 Helping put the ‘smart’ into Smart Local Energy Systems | Brian Wann, SSE
10.10 How electric vehicles bring flexibility to the electricity grid | William Goldsmith, EV Energy
10.17 Project ESO: the world’s largest hybrid battery project | Liza Lebedev, Habitat Energy
10.24 Decarbonising shipping infrastructure: the Portsmouth PESO project | Simon Powell, MSE International
10.31 Enabling the future: the recommendations of the Energy Digitalisation Taskforce | Laura Sandys, Challenging Ideas
10.38 The Ofgem Strategic Innovation Fund – driving innovation in our energy networks | Chris Coonick, Innovate UK
10.45 Q&A
11.00 Closing remarks
2
3
Welcome and Introduction to Prospering from the
Energy Revolution
Damien Kelly | Innovate UK
Prospering from the Energy Revolution
• UKRI programme
• Industrial Strategy Challenge Fund
• £102m of public funding, matched by
industry
• 2019 to 2023
• Over 50 projects around the UK
• The aim: to show what works
4
Programme objectives
Prove local energy business models that
• are investable and scalable
• deliver cleaner, cheaper energy
• build prosperous and resilient communities
• benefit the whole system
• use integrated, intelligent approaches
5
Unlock 10x private
investment
Accelerate new
products and services
to commercialisation
Build UK leadership
Over 180 organisations…
25+ local authorities and bodies
30+ energy providers
35+ energy services companies
30+ data companies
40+ other businesses
20+ universities – the EnergyRev consortium
The Energy Systems Catapult
6
…working together on a common goal
Highland
Grampian
Tayside
Central
Fife
Lothian
Strathclyde Borders
Dumfries & Galloway
Northhumberland
Tyne & Wear
Durham
Cleveland
Cumbria
North Yorkshire
Lancashire
West
Yorkshire
Great
Manchester
East Riding
of Yorkshire
South
Yorkshire
Derbyshire
Nottingham-
shire Lincolnshire
Leicestershire
Staffordshire
Merseyside
Cheshire
West
Midlands
Warwickshire
Northampton-
shire
Cambridge-
shire
Norfolk
Suffolk
Essex
Hertfordshire
Bedfordshire
Buckingham-
shire
Kent
Surrey
Greater
London
Hampshire
West
Sussex
East
Sussex
Dorset
Somerset
Devon
Cornwall
Oxfordshire
Gloucestershire
Worcestershire
Dyfed
West
Glamorgan
Mid
Glamorgan
Gwent
City of
Bristol
Wiltshire
Berkshire
South
Glamorgan
Clywd
Gwynedd
Shropshire
Powys
Londonderry
Antrim
Down
Armagh
Fermanagh
Tyrone
Project locations
Indicative only
Demonstrators
1. Project LEO
2. Energy Superhub Oxford (ESO)
3. ReFLEX Orkney
Detailed Designs
1. Liverpool Multi-Vector Energy Exchange
2. Greater Manchester Local Energy Market
3. GIRONA
4. Zero Carbon Rugeley
5. West Midlands RESO
6. Peterborough Integrated
Renewables Infrastructure (PIRI)
7. Milford Haven: Energy Kingdom
8. Project REMeDY
9. REWIRE-NW
10. GreenSCIES 2
Key Technology Components
1. Open Protocol Cloud Metering for
Heat Networks
2. Domestic Infrastructure & Network
Optimisation (DINO)
3. URBAN-X
4. v-powerChain
5. Seasonal Storage
6. BankEnergi
7. Rail-Charge
8. Hypervolt
9. Port Energy Systems Optimisation (PESO)
10. Maximising Grid Services from Electric
Vehicles (M-GSEV)
There are also:
3 projects on modernising energy data
access (MEDA)
9 projects on modernising energy data
applications (MEDApps)
18 earlier 'fast start' projects
11. Heat Networks as Flexible Grid Assets
12. EV Fleet-centred Local Energy System (EFLES)
13. SHOCENSI
14. ADVENT
15. Guru Engage
Concept Designs
1. WESLID
2. E-Port Energy
3. Greater Manchester Local Energy Market
4. Bristol Energy Smart System Transformation
5. BankEnergi
6. Intelligent Bridgend Energy System Designs
7. GreenSCIES
8. Energy Autonomous Community (Isle of Wight)
9. LEMDEx
10. DLT Micro-grid Management Platform
11. An Energy Revolution for the Market Town
of Caldicot
1 2
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Brian Wann, SSEN
Helping put the ‘smart’ into
Smart Local Energy Systems
Local Energy Accelerating Net Zero
Working in Partnership with
Putting the ‘smart’ into smart local energy systems
Operational Forecasting: provides a view of
demand/generation profiles at granular nodal level for
0-10 days ahead of real-time
Whole System Coordinator (WSC): Provides the core
intelligence for flex market decision making, and
manages automated data flows between sub-
component DSO systems
Power System Analysis (PSA): Computes anticipated
power flows under different near-term topology
change and forecast scenarios
Neutral Market Facilitator (NMF): Provides a user
interface portal for DSO interaction with the Industry
Actors to enter/accept their available flex service
volumes/costs, and for them to request approval for
peer-to-peer (P2P) capacity trades
Neutral Market Facilitator Platform
Procured Flexibility Services (DSO) 100 kW DER asset 30
kW
30
kW
40
kW
30 kW contracted on the NMF for Sustain Peak
Management DSO service to manage weekday tea time
peak
Season
Ahead
Week ahead
Additional 40 kW contracted on
the NMF for Sustain Peak
Management on increase in
requirement from the forecast
Dispatch
day
Day ahead
ahead
Same 40 kW (stacked) contracted
on the NMF for Dynamic
Constraint Management
Intra Day
Additional 30 kW contracted on the NMF
for Secure Constraint management of
unplanned outages
30 kW dispatched by WSC/NMF with 12
hrs notice for tea time peak
Sustain Peak
Management
Additional 30 kW dispatched with
4 hrs notice for planned outage
Secure
Constraint
Management
40 kW dispatched with 30 mins
notice for unplanned outage
Dynamic
DSO Services Procurement timelines Dispatch timelines
Disclaimer: Example of trial intention only, service procurement and stacking may
differ through the trial phases
Baselining and Settlement
Joe Bloggs Energy
To understand the amount of flexibility that has been provided the DSO
requires both measured data to enable it to provide a Baseline, as well
as data from the period the flexibility service is provided. The data is
entered into he NMF, which then uses this for Settlement purposes.
The NMF is also used to share data between the service providers and the DSO.
The ability of the NMF to carry out these functions offers transparency
and neutrality for all parties.
Operational Forecasting Process
1. Identification of the embedded generators
contributing to the net demand observed
2. Quantification of the historical contribution
of each generator to the net demand
3. Disaggregation of the pure generation from the net
demand signal, resulting in ‘underlying’ demand signal
4. Filtering the resulting underlying demand signal to
ensure only representative and appropriate data points
are kept for the calibration of the demand model
An Operational Forecasting report is available on the TRANSITION website
www.ssen-transition.com/library/
Forecasts
Historical data
Operational Forecasting Process
10 days ahead forecast of net-demand, underlying demand and generation (30 min resolution)
Example of operational forecast for an 11kV feeder in Oxfordshire:
• 0-4 days probabilistic forecast enabled by using 40 weather ensembles (uncertainty is represented by shaded area)
• 0-10 days deterministic forecast based on a single weather forecast (represented by solid lines)
Demand
Generation
An Operational Forecasting report is available on the TRANSITION website
www.ssen-transition.com/library/
Max Export Capacity
Max Import Capacity
Offsetting
LEO is also working with TRANSITION trialling DSO enabled flexibility services
– capacity trades between Peers located at the same point in the network.
Peer to Peer Capacity Trading
Thank you
- find out more -
www.project-leo.co.uk/
www.ssen-transition.com
Simpler, greener, cheaper
electric vehicle charging
Notable customers include:
“World’s Best Energy Start-Up”
2019 winner
Pulse Innovation Challenge
2019 winner
“E-mobility start-up of
the year” 2020 winner
Our mission is to make EV charging greener, cheaper and
simpler, to accelerate the decarbonization of transport
MISSION
19
20
“How do I charge my
car at home?”
“How do I charge on
a long road trip?”
Charging is the #1 challenge with owning an
electric vehicle
There are 2 key customer pain points:
20
Commercial in confidence
Electric vehicle charging also causes major problems for utilities ...
PROBLEM
High carbon Expensive to serve Complex to manage
21
Coal and gas plants are
needed to smooth peaks in
EV demand
EVs will double consumer
electricity bills, if they are
settled at peak times
If EVs charge at peak, £bns will
need to be spent to reinforce local
network infrastructure
✕ ✕
✕
Commercial in confidence
Greener Cheaper Simpler
ev.energy’s platform vision is greener, cheaper & simpler charging
SOLUTION
22
22
Matching EV charging to
renewable generation saves
150 kg of CO2 per EV per year
(~20% of emissions)
Aligning EV charging
with low wholesale prices,
saves £150-350 per EV per
year
Using EV load as a flexible
resource, helps grid operators
avoid £bns in infrastructure
costs
✓ ✓
✓
0
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30
40
0.0
0.5
1.0
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2.0
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0
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Domestic Demand (kW) Unmanaged EV Demand (kW) Energy price (p/kWh)
Grid capacity
Domestic load (kW) Price
(¢/kWh)
Energy price (¢/kWh)
Our algorithm shifts charging based on price, carbon & grid capacity
ALGORITHM
Customer arrives at home
UNMANAGED
23
UNMANAGED CHARGING
Data from the ev.energy platform during a trial in Mid-Western USA, 2019
24
0
10
20
30
40
0.0
0.5
1.0
1.5
2.0
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Domestic Demand (kW) Managed EV Demand (kW) Energy price (p/kWh)
SMART CHARGING WITH EV.ENERGY
…managing load to off peak windows & ensuring the EV is charged
ALGORITHM
Domestic load (kW) Price
(¢/kWh)
Customer arrives at home
Grid capacity
Energy price (¢/kWh)
24
We can help
utilities reduce
wholesale energy
costs by ~35%
Data from the ev.energy platform during a trial in Mid-Western USA, 2019
SOLUTION
25
User-friendly app for
drivers
Cloud based platform with
energy market integrations
APIs to wirelessly control
charging
Plus
chargers
*
(beta)
(read-only)
A SaaS platform for utilities to simplify all aspects of charging (I/II)
▪ Enables utilities to monitor EV owner
consumption & charging patterns
▪ Connects to any global utility,
optimising for energy tariffs, network
signals, and carbon intensity on the
grid
▪ Simple white-labelable app, that is
engaging for customers
25
ev.energy is leading two Innovate UK projects that are driving
the way for grid services from domestic EV charging
Commercial in confidence 26
Commercial in confidence 27
In the last 12 months we’ve worked on over 10 world-leading
projects that have set us apart as leaders in EV flexibility
Commercial in confidence
27
• Won the UK’s first commercial tender to provide grid services from
electric vehicles and delivered Project Shift
• Revenue earned with WPD through IntraFlex and Sustain-H
• Setup on Piclo and bids submitted in 4 DSO tenders
• Delivered smart charging pilot with AusNet to provide grid flexibility
from EVs in Australia
• Worked with US aggregator Leap to provide grid services in Texas
and Low Carbon Events with SVCE in California
• Partnered with Flexitricity to enter first VPP of EVs in the BM
28
28
Background
UK Power Networks operates the distribution network across
southern England, which includes London. With 3.6 million
EVs forecast on its network by 2030, UKPN sought to
proactively work with ev.energy to baseline charging
behavior and incentivize EV drivers to engage with managed
charging.
Solution
ev.energy aggregated 1,000 EVs on UKPN’s network, and
incentivized them to allow managed charging by offering a
points-based rewards system. All EV drivers using the
ev.energy app, with managed charging enabled, would earn
1 Reward point for any managed charging session >10 kWh.
Rewards points can be redeemed for Amazon gift cards, free
rapid charging, carbon offsets, and more.
Impact
ev.energy delivered 80% peak load reduction for UKPN
through an initial pilot project. UKPN has since awarded
ev.energy the country’s first commercial tender for EVs,
which will see ev.energy aggregate and manage loads on
thousands of EVs across UKPN’s network in England.
Commercial in confidence
UK Power Networks
STATIC LOAD SHIFTING – CASE STUDY
29
ev.energy has won the first commercial tender with UK Power Networks,
delivering 80%+ peak reduction using EVs
STATIC LOAD SHIFTING – CASE STUDY
29
Commercial in confidence
Avg. kW per EV kW per EV
-
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
00:00
01:30
03:00
04:30
06:00
07:30
09:00
10:30
12:00
13:30
15:00
16:30
18:00
19:30
21:00
22:30
Unshifted load Demand increases Demand reductions
Reduction of 82%
0.86 kW
0.15 kW
-
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
00:00
01:30
03:00
04:30
06:00
07:30
09:00
10:30
12:00
13:30
15:00
16:30
18:00
19:30
21:00
22:30
Unshifted load Demand increases Demand reductions
Reduction of 81%
1.0 kW
0.19 kW
Weekdays: avg. EV goes from needing
1kW at peak, to 0.19 kW at peak times
Weekends: avg. EV goes from needing 0.86kW
at peak, to 0.15 kW at peak times
Assets have been uploaded to 2 flexibility marketplaces to
unlock further DSO grid service opportunities
Commercial in confidence
30
Registered with Piclo flexibility
marketplace, uploading >6,000 assets
Next we are exploring system operator and wholesale market opportunities with
4 aggregators, including being the first to provide EV flexibility in the BM
Registered as a flexibility provider on
Nodes flexibility marketplace
31
Background
National Grid ESO offers contracts for flexibility services
ranging from long-term capacity to minute-by-minute
balancing. Flexitricity and ev.energy have teamed up to
register the UK’s first EV aggregated unit with the Balancing
Mechanism and will be paid to deliver rapid-response EV
load management.
Ambition
With over 17,000 EVs on its platform in the UK, ev.energy
initially plans to aggregate 1,000 EVs into a Virtual Power
Plant that can dynamically ramp up/down EV loads with 1
minute’s notice. We estimate the value of this flexibility to be
approx. £140/kW per year.
Next steps
Flexitricity and ev.energy are building the Virtual Power Plant
technology and capability to deliver second-by-second
operational metering. We anticipate delivering this service to
National Grid in H2 2021, in partnership with one or multiple
energy suppliers.
Commercial in confidence
National Grid
Balancing Mechanism
DYNAMIC RE-DISPATCHING – CASE STUDY
Simpler, greener, cheaper electric vehicle
charging for everyone
William Goldsmith
Head of Grid & Data Services
william.goldsmith@ev.energy
For more information, please contact:
Habitat Energy &
Energy Superhub
Oxford
February 2022
33
Outline
Habitat Introduction
Energy Superhub Oxford Introduction
34
Habitat provides a full route to market,
with a complete technical and
commercial solution for storage
35
OUR SERVICES
• Habitat’s operational dispatch platform
connects the physical battery to all relevant
battery markets and revenue streams
• Habitat combines cloud-based machine-
learning and algorithmic decision-making
with a 24/7 commercial team to optimally
dispatch assets day-by-day and minute-by-
minute
• More than just an operator, Habitat serves as
a strategic partner and advisor, monitoring
market and regulatory changes as well as
asset-specific conditions like warranty and
degradation
Habitat’s optimisation approach is designed specifically for
battery storage
36
OUR APPROACH
Habitat’s degradation
modelling dynamically
assesses the condition
of the battery and the
profitability of each
trade, maximising
lifetime asset value
OUR APPROACH
Marginal
revenue per
cycle
Marginal
degradation
cost per cycle
Potential trade/physical dispatch
Profitable actions
Unprofitable actions
Optimal physical
battery conditions
(SOC, DOD,
temperature,
chemistry, etc) allow
profitable cycling
despite mild market
opportunity
Habitat’s
dynamic
insight and
modelling
avoids
unprofitably
degrading
the battery –
basing
decisions
jointly on the
asset and
market
Assessed dispatch scenarios (illustrative)
37
Habitat’s algorithmic trading
platform assesses optimal
charge and discharge scenarios
across markets based on asset-
specific conditions
OUR APPROACH
Habitat’s proprietary systems can automatically dispatch
assets across day-ahead, intraday and imbalance markets
38
What is ESO?
The Energy Superhub
Oxford (ESO) is one of three
demonstrator projects part-
funded by the UK
government’s Industrial
Strategy Challenge Fund
under its “Prospering from
the Energy Revolution”
(PFER) programme. The
PFER programme is about
delivering innovation in
smart local energy
systems.
What is Habitat’s role in ESO?
Habitat Energy is managing the UK’s first
transmission-connected battery, a 50MW
hybrid battery composed of both vanadium
flow & lithium-ion batteries.
It currently operates the lithium-ion battery in
both merchant trading (Day Ahead, Intraday
and in the Balancing Mechanism) as well as
ancillary services (e.g., Dynamic
Containment).
Habitat is also helping the Oxford City
Council with the management of its public
EV fleet by providing optimisation
simulations, finding ways to reduce costs &
improve charging efficiency.
Disclaimer: This presentation shall not be construed as providing legal or financial opinions or guidance. It is not intended for general
advertising, sales, public circulation, quotation or publication. Public information and industry and statistical data are from sources Habitat
deems to be reliable but Habitat makes no representation as to the accuracy or completeness of such information. Habitat accepts no duty of
care or liability to you, and you waive and release Habitat for all claims, liabilities and damages, if any, suffered as a result of decisions made, or
not made, or actions taken, or not taken, based on this presentation.
Decarbonising shipping infrastructure:
The Portsmouth PESO project
Simon Powell, MSE International
UKRI Prospering from the Energy Revolution
Six in Sixty - Technology and Infrastructure
3rd February 2022
PESO Partners
MSE International:
• Not for profit organisation mobilising investment in a sustainable “blue economy”
• Develops cross sectoral collaborations to explore new solutions
Swanbarton:
• Specialists in energy storage, storage applications and control, local energy systems
Energy Systems Catapult:
• Independent, not-for-profit centre of excellence bridging the gap between industry,
government, academia and research
• Accelerating the transformation of the UK’s energy system
Portsmouth International Port
• Passenger and freight port carrying around 3.8MT of cargo pa.
• Deep water cargo terminal operated by Portico
Why are we doing PESO?
• Air Quality problems
– Port cities suffer from
emissions from ships
(underway & at berth) and
freight vehicles
• Decarbonisation needs
– Move away from
traditional high-C fuels
• Implications for ports?
Electrification of shipping
• Shore power for all ships at berth
• Ship emissions underway are not
counted as port emissions, those
alongside are.
• Eliminate diesel generator operation in
port
• Power requirement much greater than
ports’ grid connection capacity
• Fully electric propulsion
• Lithium ion batteries
• Flow batteries
• Hydrogen fuel cell
October 2020 45
Maritime Energy Transition
• De-carbonisation:
• International shipping creates 2.7%
of global GHG emissions
• IMO: >50% reduction by 2050
• UK: net-zero by 2050
• Air quality
• Domestic & international
shipping creates (EEA, 2019):
• 35% of transport NOx emissions
• 42% of transport PM2.5
emissions
Carbon reduction pathways: LR/UMAS, 2019
• 5 Ro-Ro berths
• 2 traditional berths
• Owned by Portsmouth City Council
– Clean Air Zone
– Net Carbon Neutral by 2030
– Zero Emission Shipping by 2050
– Constraints on energy supply
infrastructure
– Grid reinforcement very costly
– Electricity storage is essential
– Optimise use of on-site renewable
generation
Biggest Winners for Carbon
Reductions
• The biggest winners for quickly decreasing carbon emissions
and improving air quality is the provision of shore power to all
berths and the obligatory use of shore power where a ship is
able to take it
• LED Lighting – over 60% carbon Saving
• Shore Power – 90% carbon saving ad significant air quality
improvements.
The PESO Solution
• PESO is showing how smart grid technology
and energy storage can enable cost-
effective decarbonisation in ports
• Key part of UK delivery of Clean Maritime
Plan, including the role for innovation in
port infrastructure
• A pilot system at Portsmouth International
Port is optimizing energy utilisation across
the port estate:
– Adapt to vessel needs
– Optimise renewable generating capacity
– Incorporate local energy storage, including
large flow battery (BEIS Bluestor project)
– Advanced energy management
– Minimise grid reinforcement requirements
– Arbitrage energy procurement
Energy for vessel
recharging & shore
powering
Grid connection
On-site
generation
On-site
facilities
PESO
System
Project Goals
1. Deployment and Control of a
novel dual-chemistry ‘Gemini’
battery
2. Development and deployment
of energy management
software including AI to
optimise energy use
3. Advance the System Readiness
Level of the complete port
smart grid solution
www.mseinternational.org
For newsletter:
https://mseinternational.org/subscribe/
An independent report sponsored by
Energy
Digitalisation
Taskforce
Chaired by Laura Sandys
CBE
From 400 Actors to millions of Actions
and Assets
ChangingNatureofInteractionsrequiretotallynewlevelofVisibility,
Knowledge,Analytics&Algorithms
• Multiple and Changing Customer Preferences
• Carbon Visibility crucial for Net Zero
• Significant Interactions between Different Parties
• Just in Time Data to New Actors
• New Business Models based on interactions & blended
propositions
• More Dynamic and bi-directional System Needs
• Dynamic Constraint Management
• Interacting and Dynamic Markets
Data & Digitalisation are not just enablers,
they are drivers of transformative change
Data Openness
Open Data Tools &
System Platforms
Digitalisation, AI,
Algorithms
Dynamic digital markets
Infrastructure and Asset Visibility
Operational Optimisation
Open System
Design
Data Visibility
Modern, Decarbonised, Digital Energy System
Agile
Policy
&
Regulation
Energy
Digitalisation
Taskforce
Getting the plumbing right
Disjointed
Uncoordinated
Inefficient &
expensive
Monopolies
Data driven
Secure and Stable
Consumer Centred
Interoperable
Optimised
Innovation Led
Driving Net Zero
Consumer Protection
Tower Of Babel
Whole system ambitions and requirements
Prices to Devices
Automated communication & contracting to optimise system
needs, carbon & cost. Enabling value to flow through the system.
Automated & Optimised System Stability & Resilience
Digitalised system management operated at central,
regional, local or building level
Highlights
Unlock the value of consumers actions and assets
• Customer consent dashboard Customer control and
acceptance is crucial to build trust and deliver appropriate
consumer protection
• Mandate smart energy assets Unlocking flexibility by
ensuring customer energy assets are connected and smart
Deliver Interoperability
• The Digital Spine Distributed systems monitoring to enable
whole system interoperability and operation
Implement new digital governance and entities
• Digital delivery body Delivering public interest assets at
speed and independent from vested interests
Enable carbon monitoring and accounting
• Dynamic carbon monitoring and reporting Carbon visibility
is critical to future policies, CCUS, carbon offsetting and
informing consumer actions
58
• Unlock Customer Data through clear consent and
control portal
• Deliver interoperability through Public Interest
Assets
• Implemented through the Digital Delivery Body
• Address new Digital Governance
• Establish appropriate customers control and
protections
• Employ digital Security measures
• Enable whole system reconciliation
• Deliver whole system Carbon visibility
• Open up opportunities for innovation
PIPES AND WIRES:
how the Ofgem Strategic
Innovation Fund aims to
transform energy networks
CHRIS COONICK
PROGRAMME MANAGER, INNOVATE UK
The UK energy system
Transmission
Distribution
Electricity Gas
The Strategic Innovation Fund (SIF)
Ofgem and Innovate UK are collaborating to:
1. Deliver a net zero energy system at lowest costs to consumers
2. Position the UK as the ‘Silicon Valley’ of energy systems
£450m over 5 years
for energy network
innovation projects
Under way now…
Round 1 Discovery Phase Innovation Challenges
Whole System
Integration
Data &
Digitalisation
Heat
Zero Emission
Transport
Recommended portfolio
Blue-sky
thinking
SIF projects
Deployment
Growth & scale
Building investor relationships
and financing models
Strategic co-ordination & alignment
A different approach to innovation
Lessons learnt
Next Round
Round 2 kicking off soon….
Sign up for the SIF newsletter
ukri.innovateuk.org/ofgem-sif-subscription-sign-up
67
Q&A Panel Session
68
New SBRI Competition:
Open Digital Solutions for Net Zero Energy
• The aim of this competition is to develop open software, hardware and data solutions
that address the challenges off transforming to a net zero energy system in the UK.
• 9 month projects (July 2022 – March 2023)
• Applications open 31st January and close 9th March 2022
• Applications welcome for solutions that accelerate net zero energy (across value chain
and energy types)
• SBRI – 100% funded pre commercial procurement contracts
• £1.2m competition - 4 projects funded, up to £300,000(including VAT) available per
project
68
69
• Competition link:
• https://apply-for-innovation-funding.service.gov.uk/competition/1078/overview
• Competition Briefing Event 9th February
• https://ktn-uk.org/events/open-digital-solutions-for-net-zero-energy-sbri-competition-
briefing/
New SBRI Competition:
Open Digital Solutions for Net Zero Energy
70
Closing remarks
Damien Kelly | Innovate UK

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Prospering from the Energy Revolution: Six in Sixty - Technology and Infrastructure

  • 1. Prospering from the Energy Revolution (PFER) Six in Sixty Mini Series Episode 4: Infrastructure & Technology Thursday 3rd February 2022
  • 2. Today’s Agenda 10.00 Welcome & Introduction to PFER | Damien Kelly, Innovate UK 10:03 Helping put the ‘smart’ into Smart Local Energy Systems | Brian Wann, SSE 10.10 How electric vehicles bring flexibility to the electricity grid | William Goldsmith, EV Energy 10.17 Project ESO: the world’s largest hybrid battery project | Liza Lebedev, Habitat Energy 10.24 Decarbonising shipping infrastructure: the Portsmouth PESO project | Simon Powell, MSE International 10.31 Enabling the future: the recommendations of the Energy Digitalisation Taskforce | Laura Sandys, Challenging Ideas 10.38 The Ofgem Strategic Innovation Fund – driving innovation in our energy networks | Chris Coonick, Innovate UK 10.45 Q&A 11.00 Closing remarks 2
  • 3. 3 Welcome and Introduction to Prospering from the Energy Revolution Damien Kelly | Innovate UK
  • 4. Prospering from the Energy Revolution • UKRI programme • Industrial Strategy Challenge Fund • £102m of public funding, matched by industry • 2019 to 2023 • Over 50 projects around the UK • The aim: to show what works 4
  • 5. Programme objectives Prove local energy business models that • are investable and scalable • deliver cleaner, cheaper energy • build prosperous and resilient communities • benefit the whole system • use integrated, intelligent approaches 5 Unlock 10x private investment Accelerate new products and services to commercialisation Build UK leadership
  • 6. Over 180 organisations… 25+ local authorities and bodies 30+ energy providers 35+ energy services companies 30+ data companies 40+ other businesses 20+ universities – the EnergyRev consortium The Energy Systems Catapult 6 …working together on a common goal
  • 7. Highland Grampian Tayside Central Fife Lothian Strathclyde Borders Dumfries & Galloway Northhumberland Tyne & Wear Durham Cleveland Cumbria North Yorkshire Lancashire West Yorkshire Great Manchester East Riding of Yorkshire South Yorkshire Derbyshire Nottingham- shire Lincolnshire Leicestershire Staffordshire Merseyside Cheshire West Midlands Warwickshire Northampton- shire Cambridge- shire Norfolk Suffolk Essex Hertfordshire Bedfordshire Buckingham- shire Kent Surrey Greater London Hampshire West Sussex East Sussex Dorset Somerset Devon Cornwall Oxfordshire Gloucestershire Worcestershire Dyfed West Glamorgan Mid Glamorgan Gwent City of Bristol Wiltshire Berkshire South Glamorgan Clywd Gwynedd Shropshire Powys Londonderry Antrim Down Armagh Fermanagh Tyrone Project locations Indicative only Demonstrators 1. Project LEO 2. Energy Superhub Oxford (ESO) 3. ReFLEX Orkney Detailed Designs 1. Liverpool Multi-Vector Energy Exchange 2. Greater Manchester Local Energy Market 3. GIRONA 4. Zero Carbon Rugeley 5. West Midlands RESO 6. Peterborough Integrated Renewables Infrastructure (PIRI) 7. Milford Haven: Energy Kingdom 8. Project REMeDY 9. REWIRE-NW 10. GreenSCIES 2 Key Technology Components 1. Open Protocol Cloud Metering for Heat Networks 2. Domestic Infrastructure & Network Optimisation (DINO) 3. URBAN-X 4. v-powerChain 5. Seasonal Storage 6. BankEnergi 7. Rail-Charge 8. Hypervolt 9. Port Energy Systems Optimisation (PESO) 10. Maximising Grid Services from Electric Vehicles (M-GSEV) There are also: 3 projects on modernising energy data access (MEDA) 9 projects on modernising energy data applications (MEDApps) 18 earlier 'fast start' projects 11. Heat Networks as Flexible Grid Assets 12. EV Fleet-centred Local Energy System (EFLES) 13. SHOCENSI 14. ADVENT 15. Guru Engage Concept Designs 1. WESLID 2. E-Port Energy 3. Greater Manchester Local Energy Market 4. Bristol Energy Smart System Transformation 5. BankEnergi 6. Intelligent Bridgend Energy System Designs 7. GreenSCIES 8. Energy Autonomous Community (Isle of Wight) 9. LEMDEx 10. DLT Micro-grid Management Platform 11. An Energy Revolution for the Market Town of Caldicot 1 2 3 1 8 2 9 3 10 4 5 6 7 7 2 3 6 9 10 4 5 15 1 11 12 13 8 14 1 8 2 9 3 10 4 11 5 6 7 7
  • 8. Brian Wann, SSEN Helping put the ‘smart’ into Smart Local Energy Systems Local Energy Accelerating Net Zero Working in Partnership with
  • 9.
  • 10. Putting the ‘smart’ into smart local energy systems Operational Forecasting: provides a view of demand/generation profiles at granular nodal level for 0-10 days ahead of real-time Whole System Coordinator (WSC): Provides the core intelligence for flex market decision making, and manages automated data flows between sub- component DSO systems Power System Analysis (PSA): Computes anticipated power flows under different near-term topology change and forecast scenarios Neutral Market Facilitator (NMF): Provides a user interface portal for DSO interaction with the Industry Actors to enter/accept their available flex service volumes/costs, and for them to request approval for peer-to-peer (P2P) capacity trades
  • 12. Procured Flexibility Services (DSO) 100 kW DER asset 30 kW 30 kW 40 kW 30 kW contracted on the NMF for Sustain Peak Management DSO service to manage weekday tea time peak Season Ahead Week ahead Additional 40 kW contracted on the NMF for Sustain Peak Management on increase in requirement from the forecast Dispatch day Day ahead ahead Same 40 kW (stacked) contracted on the NMF for Dynamic Constraint Management Intra Day Additional 30 kW contracted on the NMF for Secure Constraint management of unplanned outages 30 kW dispatched by WSC/NMF with 12 hrs notice for tea time peak Sustain Peak Management Additional 30 kW dispatched with 4 hrs notice for planned outage Secure Constraint Management 40 kW dispatched with 30 mins notice for unplanned outage Dynamic DSO Services Procurement timelines Dispatch timelines Disclaimer: Example of trial intention only, service procurement and stacking may differ through the trial phases
  • 13. Baselining and Settlement Joe Bloggs Energy To understand the amount of flexibility that has been provided the DSO requires both measured data to enable it to provide a Baseline, as well as data from the period the flexibility service is provided. The data is entered into he NMF, which then uses this for Settlement purposes. The NMF is also used to share data between the service providers and the DSO. The ability of the NMF to carry out these functions offers transparency and neutrality for all parties.
  • 14. Operational Forecasting Process 1. Identification of the embedded generators contributing to the net demand observed 2. Quantification of the historical contribution of each generator to the net demand 3. Disaggregation of the pure generation from the net demand signal, resulting in ‘underlying’ demand signal 4. Filtering the resulting underlying demand signal to ensure only representative and appropriate data points are kept for the calibration of the demand model An Operational Forecasting report is available on the TRANSITION website www.ssen-transition.com/library/ Forecasts Historical data
  • 15. Operational Forecasting Process 10 days ahead forecast of net-demand, underlying demand and generation (30 min resolution) Example of operational forecast for an 11kV feeder in Oxfordshire: • 0-4 days probabilistic forecast enabled by using 40 weather ensembles (uncertainty is represented by shaded area) • 0-10 days deterministic forecast based on a single weather forecast (represented by solid lines) Demand Generation An Operational Forecasting report is available on the TRANSITION website www.ssen-transition.com/library/
  • 16. Max Export Capacity Max Import Capacity Offsetting LEO is also working with TRANSITION trialling DSO enabled flexibility services – capacity trades between Peers located at the same point in the network. Peer to Peer Capacity Trading
  • 17. Thank you - find out more - www.project-leo.co.uk/ www.ssen-transition.com
  • 18. Simpler, greener, cheaper electric vehicle charging Notable customers include: “World’s Best Energy Start-Up” 2019 winner Pulse Innovation Challenge 2019 winner “E-mobility start-up of the year” 2020 winner
  • 19. Our mission is to make EV charging greener, cheaper and simpler, to accelerate the decarbonization of transport MISSION 19
  • 20. 20 “How do I charge my car at home?” “How do I charge on a long road trip?” Charging is the #1 challenge with owning an electric vehicle There are 2 key customer pain points: 20
  • 21. Commercial in confidence Electric vehicle charging also causes major problems for utilities ... PROBLEM High carbon Expensive to serve Complex to manage 21 Coal and gas plants are needed to smooth peaks in EV demand EVs will double consumer electricity bills, if they are settled at peak times If EVs charge at peak, £bns will need to be spent to reinforce local network infrastructure ✕ ✕ ✕
  • 22. Commercial in confidence Greener Cheaper Simpler ev.energy’s platform vision is greener, cheaper & simpler charging SOLUTION 22 22 Matching EV charging to renewable generation saves 150 kg of CO2 per EV per year (~20% of emissions) Aligning EV charging with low wholesale prices, saves £150-350 per EV per year Using EV load as a flexible resource, helps grid operators avoid £bns in infrastructure costs ✓ ✓ ✓
  • 23. 0 10 20 30 40 0.0 0.5 1.0 1.5 2.0 0 0 : 0 0 0 1 : 0 0 0 2 : 0 0 0 3 : 0 0 0 4 : 0 0 0 5 : 0 0 0 6 : 0 0 0 7 : 0 0 0 8 : 0 0 0 9 : 0 0 1 0 : 0 0 1 1 : 0 0 1 2 : 0 0 1 3 : 0 0 1 4 : 0 0 1 5 : 0 0 1 6 : 0 0 1 7 : 0 0 1 8 : 0 0 1 9 : 0 0 2 0 : 0 0 2 1 : 0 0 2 2 : 0 0 2 3 : 0 0 Domestic Demand (kW) Unmanaged EV Demand (kW) Energy price (p/kWh) Grid capacity Domestic load (kW) Price (¢/kWh) Energy price (¢/kWh) Our algorithm shifts charging based on price, carbon & grid capacity ALGORITHM Customer arrives at home UNMANAGED 23 UNMANAGED CHARGING Data from the ev.energy platform during a trial in Mid-Western USA, 2019
  • 24. 24 0 10 20 30 40 0.0 0.5 1.0 1.5 2.0 0 0 : 0 0 0 1 : 0 0 0 2 : 0 0 0 3 : 0 0 0 4 : 0 0 0 5 : 0 0 0 6 : 0 0 0 7 : 0 0 0 8 : 0 0 0 9 : 0 0 1 0 : 0 0 1 1 : 0 0 1 2 : 0 0 1 3 : 0 0 1 4 : 0 0 1 5 : 0 0 1 6 : 0 0 1 7 : 0 0 1 8 : 0 0 1 9 : 0 0 2 0 : 0 0 2 1 : 0 0 2 2 : 0 0 2 3 : 0 0 Domestic Demand (kW) Managed EV Demand (kW) Energy price (p/kWh) SMART CHARGING WITH EV.ENERGY …managing load to off peak windows & ensuring the EV is charged ALGORITHM Domestic load (kW) Price (¢/kWh) Customer arrives at home Grid capacity Energy price (¢/kWh) 24 We can help utilities reduce wholesale energy costs by ~35% Data from the ev.energy platform during a trial in Mid-Western USA, 2019
  • 25. SOLUTION 25 User-friendly app for drivers Cloud based platform with energy market integrations APIs to wirelessly control charging Plus chargers * (beta) (read-only) A SaaS platform for utilities to simplify all aspects of charging (I/II) ▪ Enables utilities to monitor EV owner consumption & charging patterns ▪ Connects to any global utility, optimising for energy tariffs, network signals, and carbon intensity on the grid ▪ Simple white-labelable app, that is engaging for customers 25
  • 26. ev.energy is leading two Innovate UK projects that are driving the way for grid services from domestic EV charging Commercial in confidence 26
  • 27. Commercial in confidence 27 In the last 12 months we’ve worked on over 10 world-leading projects that have set us apart as leaders in EV flexibility Commercial in confidence 27 • Won the UK’s first commercial tender to provide grid services from electric vehicles and delivered Project Shift • Revenue earned with WPD through IntraFlex and Sustain-H • Setup on Piclo and bids submitted in 4 DSO tenders • Delivered smart charging pilot with AusNet to provide grid flexibility from EVs in Australia • Worked with US aggregator Leap to provide grid services in Texas and Low Carbon Events with SVCE in California • Partnered with Flexitricity to enter first VPP of EVs in the BM
  • 28. 28 28 Background UK Power Networks operates the distribution network across southern England, which includes London. With 3.6 million EVs forecast on its network by 2030, UKPN sought to proactively work with ev.energy to baseline charging behavior and incentivize EV drivers to engage with managed charging. Solution ev.energy aggregated 1,000 EVs on UKPN’s network, and incentivized them to allow managed charging by offering a points-based rewards system. All EV drivers using the ev.energy app, with managed charging enabled, would earn 1 Reward point for any managed charging session >10 kWh. Rewards points can be redeemed for Amazon gift cards, free rapid charging, carbon offsets, and more. Impact ev.energy delivered 80% peak load reduction for UKPN through an initial pilot project. UKPN has since awarded ev.energy the country’s first commercial tender for EVs, which will see ev.energy aggregate and manage loads on thousands of EVs across UKPN’s network in England. Commercial in confidence UK Power Networks STATIC LOAD SHIFTING – CASE STUDY
  • 29. 29 ev.energy has won the first commercial tender with UK Power Networks, delivering 80%+ peak reduction using EVs STATIC LOAD SHIFTING – CASE STUDY 29 Commercial in confidence Avg. kW per EV kW per EV - 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 00:00 01:30 03:00 04:30 06:00 07:30 09:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 Unshifted load Demand increases Demand reductions Reduction of 82% 0.86 kW 0.15 kW - 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 00:00 01:30 03:00 04:30 06:00 07:30 09:00 10:30 12:00 13:30 15:00 16:30 18:00 19:30 21:00 22:30 Unshifted load Demand increases Demand reductions Reduction of 81% 1.0 kW 0.19 kW Weekdays: avg. EV goes from needing 1kW at peak, to 0.19 kW at peak times Weekends: avg. EV goes from needing 0.86kW at peak, to 0.15 kW at peak times
  • 30. Assets have been uploaded to 2 flexibility marketplaces to unlock further DSO grid service opportunities Commercial in confidence 30 Registered with Piclo flexibility marketplace, uploading >6,000 assets Next we are exploring system operator and wholesale market opportunities with 4 aggregators, including being the first to provide EV flexibility in the BM Registered as a flexibility provider on Nodes flexibility marketplace
  • 31. 31 Background National Grid ESO offers contracts for flexibility services ranging from long-term capacity to minute-by-minute balancing. Flexitricity and ev.energy have teamed up to register the UK’s first EV aggregated unit with the Balancing Mechanism and will be paid to deliver rapid-response EV load management. Ambition With over 17,000 EVs on its platform in the UK, ev.energy initially plans to aggregate 1,000 EVs into a Virtual Power Plant that can dynamically ramp up/down EV loads with 1 minute’s notice. We estimate the value of this flexibility to be approx. £140/kW per year. Next steps Flexitricity and ev.energy are building the Virtual Power Plant technology and capability to deliver second-by-second operational metering. We anticipate delivering this service to National Grid in H2 2021, in partnership with one or multiple energy suppliers. Commercial in confidence National Grid Balancing Mechanism DYNAMIC RE-DISPATCHING – CASE STUDY
  • 32. Simpler, greener, cheaper electric vehicle charging for everyone William Goldsmith Head of Grid & Data Services william.goldsmith@ev.energy For more information, please contact:
  • 33. Habitat Energy & Energy Superhub Oxford February 2022 33
  • 35. Habitat provides a full route to market, with a complete technical and commercial solution for storage 35 OUR SERVICES • Habitat’s operational dispatch platform connects the physical battery to all relevant battery markets and revenue streams • Habitat combines cloud-based machine- learning and algorithmic decision-making with a 24/7 commercial team to optimally dispatch assets day-by-day and minute-by- minute • More than just an operator, Habitat serves as a strategic partner and advisor, monitoring market and regulatory changes as well as asset-specific conditions like warranty and degradation
  • 36. Habitat’s optimisation approach is designed specifically for battery storage 36 OUR APPROACH
  • 37. Habitat’s degradation modelling dynamically assesses the condition of the battery and the profitability of each trade, maximising lifetime asset value OUR APPROACH Marginal revenue per cycle Marginal degradation cost per cycle Potential trade/physical dispatch Profitable actions Unprofitable actions Optimal physical battery conditions (SOC, DOD, temperature, chemistry, etc) allow profitable cycling despite mild market opportunity Habitat’s dynamic insight and modelling avoids unprofitably degrading the battery – basing decisions jointly on the asset and market Assessed dispatch scenarios (illustrative) 37
  • 38. Habitat’s algorithmic trading platform assesses optimal charge and discharge scenarios across markets based on asset- specific conditions OUR APPROACH Habitat’s proprietary systems can automatically dispatch assets across day-ahead, intraday and imbalance markets 38
  • 39. What is ESO? The Energy Superhub Oxford (ESO) is one of three demonstrator projects part- funded by the UK government’s Industrial Strategy Challenge Fund under its “Prospering from the Energy Revolution” (PFER) programme. The PFER programme is about delivering innovation in smart local energy systems.
  • 40. What is Habitat’s role in ESO? Habitat Energy is managing the UK’s first transmission-connected battery, a 50MW hybrid battery composed of both vanadium flow & lithium-ion batteries. It currently operates the lithium-ion battery in both merchant trading (Day Ahead, Intraday and in the Balancing Mechanism) as well as ancillary services (e.g., Dynamic Containment). Habitat is also helping the Oxford City Council with the management of its public EV fleet by providing optimisation simulations, finding ways to reduce costs & improve charging efficiency.
  • 41. Disclaimer: This presentation shall not be construed as providing legal or financial opinions or guidance. It is not intended for general advertising, sales, public circulation, quotation or publication. Public information and industry and statistical data are from sources Habitat deems to be reliable but Habitat makes no representation as to the accuracy or completeness of such information. Habitat accepts no duty of care or liability to you, and you waive and release Habitat for all claims, liabilities and damages, if any, suffered as a result of decisions made, or not made, or actions taken, or not taken, based on this presentation.
  • 42. Decarbonising shipping infrastructure: The Portsmouth PESO project Simon Powell, MSE International UKRI Prospering from the Energy Revolution Six in Sixty - Technology and Infrastructure 3rd February 2022
  • 43. PESO Partners MSE International: • Not for profit organisation mobilising investment in a sustainable “blue economy” • Develops cross sectoral collaborations to explore new solutions Swanbarton: • Specialists in energy storage, storage applications and control, local energy systems Energy Systems Catapult: • Independent, not-for-profit centre of excellence bridging the gap between industry, government, academia and research • Accelerating the transformation of the UK’s energy system Portsmouth International Port • Passenger and freight port carrying around 3.8MT of cargo pa. • Deep water cargo terminal operated by Portico
  • 44. Why are we doing PESO? • Air Quality problems – Port cities suffer from emissions from ships (underway & at berth) and freight vehicles • Decarbonisation needs – Move away from traditional high-C fuels • Implications for ports?
  • 45. Electrification of shipping • Shore power for all ships at berth • Ship emissions underway are not counted as port emissions, those alongside are. • Eliminate diesel generator operation in port • Power requirement much greater than ports’ grid connection capacity • Fully electric propulsion • Lithium ion batteries • Flow batteries • Hydrogen fuel cell October 2020 45
  • 46. Maritime Energy Transition • De-carbonisation: • International shipping creates 2.7% of global GHG emissions • IMO: >50% reduction by 2050 • UK: net-zero by 2050 • Air quality • Domestic & international shipping creates (EEA, 2019): • 35% of transport NOx emissions • 42% of transport PM2.5 emissions Carbon reduction pathways: LR/UMAS, 2019
  • 47. • 5 Ro-Ro berths • 2 traditional berths • Owned by Portsmouth City Council – Clean Air Zone – Net Carbon Neutral by 2030 – Zero Emission Shipping by 2050 – Constraints on energy supply infrastructure – Grid reinforcement very costly – Electricity storage is essential – Optimise use of on-site renewable generation
  • 48. Biggest Winners for Carbon Reductions • The biggest winners for quickly decreasing carbon emissions and improving air quality is the provision of shore power to all berths and the obligatory use of shore power where a ship is able to take it • LED Lighting – over 60% carbon Saving • Shore Power – 90% carbon saving ad significant air quality improvements.
  • 49. The PESO Solution • PESO is showing how smart grid technology and energy storage can enable cost- effective decarbonisation in ports • Key part of UK delivery of Clean Maritime Plan, including the role for innovation in port infrastructure • A pilot system at Portsmouth International Port is optimizing energy utilisation across the port estate: – Adapt to vessel needs – Optimise renewable generating capacity – Incorporate local energy storage, including large flow battery (BEIS Bluestor project) – Advanced energy management – Minimise grid reinforcement requirements – Arbitrage energy procurement Energy for vessel recharging & shore powering Grid connection On-site generation On-site facilities PESO System
  • 50. Project Goals 1. Deployment and Control of a novel dual-chemistry ‘Gemini’ battery 2. Development and deployment of energy management software including AI to optimise energy use 3. Advance the System Readiness Level of the complete port smart grid solution
  • 52. An independent report sponsored by Energy Digitalisation Taskforce Chaired by Laura Sandys CBE
  • 53. From 400 Actors to millions of Actions and Assets ChangingNatureofInteractionsrequiretotallynewlevelofVisibility, Knowledge,Analytics&Algorithms • Multiple and Changing Customer Preferences • Carbon Visibility crucial for Net Zero • Significant Interactions between Different Parties • Just in Time Data to New Actors • New Business Models based on interactions & blended propositions • More Dynamic and bi-directional System Needs • Dynamic Constraint Management • Interacting and Dynamic Markets
  • 54. Data & Digitalisation are not just enablers, they are drivers of transformative change Data Openness Open Data Tools & System Platforms Digitalisation, AI, Algorithms Dynamic digital markets Infrastructure and Asset Visibility Operational Optimisation Open System Design Data Visibility Modern, Decarbonised, Digital Energy System Agile Policy & Regulation Energy Digitalisation Taskforce
  • 55. Getting the plumbing right Disjointed Uncoordinated Inefficient & expensive Monopolies Data driven Secure and Stable Consumer Centred Interoperable Optimised Innovation Led Driving Net Zero Consumer Protection Tower Of Babel
  • 56. Whole system ambitions and requirements Prices to Devices Automated communication & contracting to optimise system needs, carbon & cost. Enabling value to flow through the system. Automated & Optimised System Stability & Resilience Digitalised system management operated at central, regional, local or building level
  • 57. Highlights Unlock the value of consumers actions and assets • Customer consent dashboard Customer control and acceptance is crucial to build trust and deliver appropriate consumer protection • Mandate smart energy assets Unlocking flexibility by ensuring customer energy assets are connected and smart Deliver Interoperability • The Digital Spine Distributed systems monitoring to enable whole system interoperability and operation Implement new digital governance and entities • Digital delivery body Delivering public interest assets at speed and independent from vested interests Enable carbon monitoring and accounting • Dynamic carbon monitoring and reporting Carbon visibility is critical to future policies, CCUS, carbon offsetting and informing consumer actions
  • 58. 58 • Unlock Customer Data through clear consent and control portal • Deliver interoperability through Public Interest Assets • Implemented through the Digital Delivery Body • Address new Digital Governance • Establish appropriate customers control and protections • Employ digital Security measures • Enable whole system reconciliation • Deliver whole system Carbon visibility • Open up opportunities for innovation
  • 59. PIPES AND WIRES: how the Ofgem Strategic Innovation Fund aims to transform energy networks CHRIS COONICK PROGRAMME MANAGER, INNOVATE UK
  • 60. The UK energy system Transmission Distribution Electricity Gas
  • 61. The Strategic Innovation Fund (SIF) Ofgem and Innovate UK are collaborating to: 1. Deliver a net zero energy system at lowest costs to consumers 2. Position the UK as the ‘Silicon Valley’ of energy systems £450m over 5 years for energy network innovation projects
  • 62. Under way now… Round 1 Discovery Phase Innovation Challenges Whole System Integration Data & Digitalisation Heat Zero Emission Transport
  • 64. Blue-sky thinking SIF projects Deployment Growth & scale Building investor relationships and financing models Strategic co-ordination & alignment A different approach to innovation Lessons learnt
  • 65. Next Round Round 2 kicking off soon….
  • 66. Sign up for the SIF newsletter ukri.innovateuk.org/ofgem-sif-subscription-sign-up
  • 68. 68 New SBRI Competition: Open Digital Solutions for Net Zero Energy • The aim of this competition is to develop open software, hardware and data solutions that address the challenges off transforming to a net zero energy system in the UK. • 9 month projects (July 2022 – March 2023) • Applications open 31st January and close 9th March 2022 • Applications welcome for solutions that accelerate net zero energy (across value chain and energy types) • SBRI – 100% funded pre commercial procurement contracts • £1.2m competition - 4 projects funded, up to £300,000(including VAT) available per project 68
  • 69. 69 • Competition link: • https://apply-for-innovation-funding.service.gov.uk/competition/1078/overview • Competition Briefing Event 9th February • https://ktn-uk.org/events/open-digital-solutions-for-net-zero-energy-sbri-competition- briefing/ New SBRI Competition: Open Digital Solutions for Net Zero Energy