Show and Tell - Data and Digitalisation, Gas Network Asset Monitoring and Analysis Projects.pdf

Strategic Innovation Fund
Project ‘Show and Tell’ webinar
Data & Digitalisation:
Gas network asset monitoring
and analysis Projects
20 May 2022

Welcome
David Richardson, Head of Innovation, Innovate UK

Introduction: Data &
Digitalisation challenge

Data and Digitalisation Challenge
Aim: deliver the next generation of user driven digital products, services and processes
spanning all energy networks, industry and Government.
Themes include:
Data monitoring,
quality, collection
Develop enabling
digital products
supporting other
challenges
Unlock data access,
interoperability, and
insights for third
parties
Improve efficiency,
security, and
resilience of
networks
Image courtesy: The European Files, Big data, IA, augmented intelligence: Building grids for the energy transition

Agenda – Data and Digitalisation, Part 2
1. Gas Analyser Systems for Hydrogen Blends NGGT
2. Hydrogen Metering NGGT
3. HyNTS Pipeline DataSet NGGT
Q&A on projects 1, 2 & 3
14:15pm – 10 minute break
4. Thermal imagery analysis - Condition
assessment fluid and pressure
NGN
5. Digital Platform for Leakage Analytics SGN
Q&A on projects 4 & 5
15:20pm – end of session

Gas Analyser Systems for
Hydrogen Blends
Peter Martin, Gas Transmission & Metering
Martin Croft, Des19ncor

8
National Grid
Gas Analyser
Systems for
Hydrogen Blends
Show & Tell Webinar
20th May 2022
Martin Croft, Des19ncor
SIF Discovery

9
National Grid
Problem Statement
|| Gas Analyser Systems for Hydrogen Blends | Show & Tell Webinar
• The net zero programme of work will require cheaper, accurate
measurement of Hydrogen blends, digitally agile sensors for gas
analysis and the provision of accurate calorific values (CVs) for
customer billing. Most current sensors in use are expensive and too
slow to undertake the requirements of a future blended Hydrogen
network, given the numbers of units potentially required. Net zero gas
generation is likely to be highly distributed throughout the network and
from numerous localised generation points.
• Network users could benefit from the following:
• Accurate contact gas sensors which are sufficiently inexpensive
to place large volume into the network.
• Connecting these sensors through the Internet of Things for
digital control and reporting systems.
• Local calculation of CV's at governor sites for accurate customer
billing and the ability to connect sensor results to smart metering
systems.

10
National Grid
Project Overview
WP1
Feasibility design stage, exploration to
be matched against critical
success factors. The output from this
WP will be a system architecture and
preferred solution report.
WP3
Rig testing of the prototype Fuel Cell
gas analyser Sensor (FCS)
against different gas types and
matched against 2 Emerson sensors
from National Grid Gas Transmission.
WP4
Solution and commercialisation viability
report which will include end-
user feedback, outline business plans for
the Alpha phase
WP2
Solution Prototyping and fabrication to
improve on lab-based prototypes.
The deliverable from this WP will be the
laboratory prototype and software
systems test plan.
Discovery Phase Work Packages:
• This project has been a collaborative
effort between partners Des19ncor,
Gas Transmission & Metering and
Cadent Gas
• Overall objectives of the project:
• Benchmark FCS capability
against other gas analyser
systems and assess the
technical and regulatory barriers
and opportunities involved in the
adoption of new gas analyser
technology on the gas network
• Demonstrate feasibility of IoT
connectivity through the FCS
technology

11
National Grid
Discovery Phase - Data & Digitalisation
• We know the current analysers are not fit for purpose for
Net Zero goals (too slow, too expensive, 2 units required
and not IoT connected).
• Blended Hydrogen networks will need single, faster /
cheaper sensors and a new digitised data architecture.
• Fuel Cell Sensor blended gas sensor has been developed
as a single unit to give accurate gas quality readings in
near real time via IoT.
• The project has aimed to show how FCS data can help the
gas transmission and distribution networks have better
real-time control.
• To see how customers will benefit from a fully digitised
system with hydrogen content and accurate CV’s available
via their smart meters, effectively replacing weighted
average CV systems
Blended Hydrogen
Pure Hydrogen Gas Governor sites
Smart Meters
Internet

12
National Grid
Discovery – Collecting ‘Use cases’
Two main groups :-
NTS
• Gas National Control Centre
• Deblending Requirements
• Green H2 injection
• Compression control
• Embrittlement control on assets
• Simpler connections
• Billing - Exchange / Xoserve
DNO *
• Zonal sensors
• Bespoke billing for I&C
• I&C for CV (process control)
• Green auditing credentials
• Billing - Exchange / Xoserve
• Consumers
*(assuming blending occurs)

13
National Grid
Activity – Agile work packages
• Use Cases collection and analysis.
• Current data architecture review and new IoT design.
• Implemented software data from FCS to Azure platform
using secure wireless IoT.
• Completed assembly of FCS module.
• Integration of software/hardware/mechanical/thermal
elements of system.
• Collated information on other Gas Analyser Systems.
• Upgraded lab for blended Hydrogen and NG testing.
• Setup and calibrated GC’s.
• Completed first test runs.

14
National Grid
Benefits
• We have discovered that the ‘use cases’ for gas sensing are much
larger than first envisaged. Solutions examined can potentially service
all of these cost effectively.
• Where Blended Hydrogen Networks are deployed they will need faster
/ cheaper sensors deployed in greater numbers than currently.
• One element for cost reduction can be the adoption of new digitised
secure data architectures.
• Fuel Cell Sensor gas analyser has been developed as a single sensor
to give accurate gas quality readings in near real time with IoT
functionality built-in and for one twentieth of the existing cost.
• The project shows how FCS with a fully digitised data system can help
the gas transmission and distribution networks have better real-time
control and how that data can be useful to different customers and
users.
• Speeding up the transition to a greener gas network and achieving Net
Zero for the UK.

15
National Grid
Plans for Alpha
• Our plans for the alpha stage are to build on the outputs
from the discovery phase of this project and the ‘Hydrogen
Metering’ SIF, combining the two projects for the Alpha
phase:
- Demonstrate the capability of hydrogen metering systems,
providing a full capability matrix for testing in beta.
- Comparative Gas Analyser systems will be further
investigated to ensure robustness of a final combined flow
and energy measurement system. With continued
development of the fuel cell gas analyser in co-ordination
with the metering activity, as a potential option.
- Will develop a system design required for combining
hydrogen metering and gas analyser systems into one and
determining the data systems surrounding the equipment.
With a focus on the digital infrastructure required for future
network measurement systems.
- We will consider the commercial impact of these new
developments for consumers and the energy market
- There will be the design of a Hydrogen measurement test
facility and associated safety assessments

Hydrogen Metering
Chris Wood & James Blakey, Gas Transmission and Metering
Claire Ashton, DNV

17
Hydrogen Metering
Show & Tell Webinar
20th May 2022
Chris Wood – Gas Transmission and Metering
Claire Ashton – DNV
James Blakey – Gas Transmission and Metering
SIF Discovery

18
• Accurate and reliable metering is essential for energy flow measurement,
managing networks and billing end consumers.
• Hydrogen in the gas network an important for reaching net zero
• Hydrogen ~1/3 energy of same volume of natural gas
• Therefore 3x flow/volume required for same energy required
• Existing metering on the gas network requires testing to ensure accuracy and
performance
Why Hydrogen Metering?

19
Overview
M
M
M
M M
Gas Transmission Distribution Network End Consumer
Estimated c600,000
network and Industrial
metering connections in
the UK
Estimated change out to
new meters in excess of
£439m

20
Hydrogen Metering - Overview
Problem Addressed & Project Aims
The overall project will build metering installations from repurposed and new metering
equipment to operate on hydrogen and hydrogen blends, fully replicating metering facilities
across the whole gas transportation value chain. It will provide a deep understanding of how
metering will operate on a hydrogen network, ensuring confidence in accurate data.
Project Team
Deliverables of
Discovery phase
Feasibility study to assess:
1.) Stakeholder metering requirements
2.) Supply chain assessment
3.) Industry Standards
4.) Options and costs of building facility at
Futuregrid (or other options)
Why?
To determine:
1.) Metering equipment compatibility with
hydrogen
2.) Repurposing costs
3.) Gas equation fundamentals
4.) Test facility for innovative technology
5.) Assurance to users that hydrogen can
be billed accurately

21
Stakeholder Requirements gathering
46 stakeholders across 26 organisations
Outputs
Impact on existing assets
Understand repurposing costs
The importance of gas quality measurement technology for
energy calculations, traceability and purity understanding
Use a real world setting
Develop industry standards and repurposing standards
Help to develop innovative technology for 100% hydrogen
and hydrogen blends
Support competency framework development which will also
inform standards and frameworks

22
Supply Chain Assessment
• Request for Information sent out to 24 organisations, 16
replied. Existing manufacturers and start-ups included
• ‘New’ metering technology is being developed – Nuclear
Magnetic Resonance, Coriolis meters etc
• Range of new products under development
• Good progress by supply chain developing hydrogen
compatible equipment (or proving existing equipment is fit
for purpose)
• However gaps exist in some area and limited product
ranges exist

23
• Meter suitability and viability especially at higher flows and pressures (for measuring
hydrogen)
• Ancillary equipment control and effectiveness on blends and Hydrogen
• Acoustics performance under hydrogen flows and pressures
• Velocities with increased flows on hydrogen to meet the equivalent energy provided on natural
gas
Industry Standards Review
36 IGEM standards reviewed including major Metering standards, GM/4, GM/6,
GM/8, GM/7b etc
Technical review determined following gaps:
To support cost effective solutions, once technical case is proven a
repurposing standard is required.

24
Asset types
Meter Types:
• Diaphragm
• Ultrasonic
• Turbine
• Rotary displacement
Gas Analysis Equipment
Ancillary Equipment
Analysis and Specification
Types of Testing
• Accuracy/uncertainty
measurements
• Ancillary asset performance
Diameter
• Standard design capacity
• Leak testing of assets
• Lifecycle (fatigue)
• Impact of increased velocities
• Chromatography/gas quality
sensors.
• Corrector and flow computer
suitability
Functional Specification
Factors:
• Pressure
• Connections
• Power supply
• Asset interchangeability
• Compatibility with hydrogen
• Gas analysis capability
• Accuracy / uncertainty
measurement
• Compliance with industry
standards and legislation
• Replication of real-life
scenarios
• Interaction with other
innovation projects
What are the most cost effective and reliable ways of measuring volume and energy for gas
networks that transport natural gas/hydrogen blends and/or hydrogen to meet regulations,
stakeholder and consumer requirements?

25
Options and Design thoughts
Equipment donations:
• Transmission skid from NIA project
• Metering installations from NGM
• Metering rigs to cover
transmission, distribution and end
consumers (HP, IP, MP, LP)
• Meeting functional specification
and stakeholder requirements
Project proposes a facility built at Futuregrid / H21
(Spadeadam) would provide the best location to replicate
network conditions and test with hydrogen

26
• Test the whole meter installation (ancillary equipment)
• Inclusion of gas analysis equipment in the scope of further phases of the project.
• A number of tests of different metering technology need to be considered, including;
accuracy,
fitness for purpose (pressure/volume/flow),
lifecycle issues of both new and repurposed equipment.
• Opportunity to test the end-to-end measurement system of the whole gas transportation value chain
• Technology exists for metering hydrogen that has not been traditionally used by the gas networks
• The project will determine the most cost-effective way to measure energy and flow in hydrogen networks
Conclusions

27
Next Steps
Project will widen to include gas analysis equipment
and potential to explore end-2-end solutions

HyNTS Pipeline DataSet
Peter Martin, Gas Transmission and Metering
Adrian Horsley, Rosen Group

29
HyNTS Pipeline
Dataset
Show & Tell Webinar
20th May 2022
Adrian Horsley, Rosen Group
SIF Discovery

30
Problem Statement
|| HyNTS Pipeline Dataset | Show & Tell Webinar
• The existing National Transmission System and Local Transmission
Systems were designed and built to transport natural gas.
• Hydrogen exposure can reduce the toughness of metallic materials
(embrittlement) and increase fatigue crack growth rates. Locations
of existing toughness-sensitive anomalies such as crack-like
anomalies and hardspots are particularly susceptible.
• Potential degradation of non-metallic materials such as polymers
and elastomeric sealing elements (and more onerous performance
requirements)
• Damage susceptibility is microstructurally-driven (i.e. highly material
property sensitive) and can therefore vary from component to
component, from joint-to-joint.
• Before consideration of repurposing our natural gas networks for
Hydrogen transportation, we must determine the additional
information and tools that will be required assess a pipelines
readiness for Hydrogen conversion.

31
Project Overview
• This project has been a collaborative
effort between partners Rosen
Group, Gas Transmission & Metering
and Cadent Gas
• There are two overall primary
objectives for the project:
- Define and gather the data
necessary to facilitate
repurposing of above 7 bar
pipelines on the NTS and LTS
- Develop the tools and processes
to store, align and visualise data
to facilitate effective Integrity
Management decision-making
post-repurposing for Hydrogen
service
Discovery Phase Work Packages:

32
Understanding User Needs
• Comprehensive Integrity Management systems are in place for the NTS and
LTS which will provide valuable information for repurposing, although activities
are understandably focused on the threats surrounding natural gas operation:
- Data surrounding hydrogen ‘sensitive’ anomaly types such as crack-like
anomalies and hardspots are limited.
- Material property data in a hydrogen environment is not available.
• Current industry codes require extensive component-level hydrogen
qualification materials which can quickly become non-viable when considering
repurposing of existing pipelines – especially for the NTS.
• Although hydrogen qualification is unavoidable, identifying and grouping
components with common characteristics (from design, manufacturing,
construction and operational data sources), then undertaking a ‘population-
based’ evaluation of hydrogen damage susceptibility represents a significantly
more pragmatic approach.
• A significant amount of data recovery, alignment and analysis will still be
required and will likely have to be augmented with some additional risk-driven
data-collection activities where gaps exist.
• Detailed component-level material property data is available but not readily
accessible and is likely to be incomplete - especially for older assets.

33
Project Activities
• Defined the data requirements within the context of an overall repurposing
approach based on existing standards, likely NTS and LTS operating regimes and
the current industry hydrogen knowledge-base.
• Identified the range of data sources that exist to support repurposing as part of
current natural gas operations as well as appraisal of how readily accessible this
information is.
• Identified where established and emerging pipeline technologies can support the
collection of the additional anomaly and materials datasets required to repurpose
and subsequently support future integrity management activities.
• Identified the areas for further investigation where hydrogen may impact on the
design and functional performance requirements of the above technologies.
• Identified the synergies with other ongoing UK hydrogen initiatives that can feed
data into NTS and LTS repurposing (especially material testing in hydrogen).
• Identified the optimum Data Management system structure to facilitate the efficient
storage, alignment and visualization of the more granular datasets required to
support repurposing.
• Developed a methodology to rank the repurposing ‘readiness’ of network pipelines
based on operational regime, data availability and risk-based metrics.

34
Opportunities
• The design, construction and operation of NTS and LTS pipeline
assets has generally exceeded industry best-practice over the
decades.
• A wide range of archived Primary and Secondary data sources
from manufacturing, construction and operation will be available to
support material characterization activities and identification of
credible anomaly types taken into service.
• In-Line inspection technologies can support:
- support the identification and monitoring of the additional
‘hydrogen-sensitive’ anomaly populations.
- support a more ‘intelligent’ and efficient approach to material
property verification activities.
• A number of emerging external non-destructive field technologies
have the potential to support material property verification activities.
• Material property testing being undertaken as part of other
hydrogen initiatives can play a key role in supporting the
repurposing NTS and LTS pipelines where materials can be
justified to be comparable.

35
Opportunities
• The more granular material and pipeline anomaly datasets
required for repurposing can be aligned and visualized in a
centralized geo-spatial data-management system to support
more efficient integrity management decision-making.
• A repurposing ‘readiness’ tool can support the network
pipelines in terms of overall operational feasibility, data
availability and integrity threat level.

36
Potential Benefits
• Repurposing of existing pipeline infrastructure to hydrogen is key to
realizing the UK’s energy transition roadmap to net-zero.
• Major cost-savings exist with repurposing existing pipelines as
opposed to the design and construction of new pipelines together
with a reduced environmental footprint.
• Efficient data collection and data-management frameworks provide a
critical input to the viability of NTS and LTS repurposing.
• The structured pipeline data collection and data management
approach will promote more streamlined repurposing across assets
with common characteristics, is flexible enough to be applied to any
part of the NTS & LTS, and is transferrable to the wider global oil and
gas network infrastructure.
• Output should be used to shape hydrogen qualification activities
being undertaken across other UK hydrogen initiatives by ensuring
that testing is suitably representative of the ‘in-place’ NTS and
LTS asset population.

37
Plans for Alpha
• Our plans for the alpha stage shall build on the
outputs from the Discovery stage:
- Pilot the 'population-based' data collection and alignment
process defined during the Discovery phase on a selected
NTS feeder and perform an associated gap analysis
against conversion requirements.
- Identify the options to close out any identified data gaps
(e.g. inspection, engineering analysis, testing etc.)
- Quantify the ability of the inspection technologies
identified during the Discovery phase to support the
closure of data gaps as well as any further development
required to collect data in a hydrogen environment.
- Develop a ‘roadmap’ for data systems within the business
and build a prototype data management system that
ensures any data gathered during this project integrates
with existing systems
- Develop the plan, approach and methodology for the
Hydrogen conversion 'readiness' assessment, ensuring it
can be utilised for the pilot feeder and links to the data
management system.
- Plan for beta phase activities, determining associated
costs and timelines.

Q&A – Data and Digitalisation challenge
1. Gas Analyser Systems for Hydrogen Blends
2. Hydrogen Metering
3. HyNTS Pipeline DataSet

10 minute break
See you soon…..

WELCOME BACK!

Thermal imagery analysis -
Condition assessment fluid
and pressure
Nick Smith, NGN
Simon Langdale, Synovate

LeakVISION
SIF 10027276 - Show & Tell

Introduction
Creative research applied.
Problem: Current methane leakage and future hydrogen leakage
from gas networks pose a risk to the environment, the gas network
and public safety.
LeakVISION was developed to detect leakage within PE and
metallic gas/hydrogen pipelines.
We are developing the technology to translate images into
quantitative leak rates and risk scores.
The sensor can visualise and quantify leakage risks of pipe
features including pinholes, cracks and joints.

Detecting and Visualising Leakage
Introduction

• Challenge Leakage Detection And Repair (LDAR) costs
• Enhance operational efficiency – leakage & H2 conversion activities
• Inform effective, one-time remediation, cutting return visits
• Minimise network leakage → maximise carbon savings
• Support H2 conversion and continued LDAR within future H2 networks
Project Aims
LeakVISION as a strategic tool

Discovery Review
General Overview
Problem definitions
Facilitating common
understanding
Quantifying value
propositions
Identify constraints/
propose solutions
Define riskiest
assumptions to test
in alpha

Discovery Review
Opportunities Identified
Problem Statements Categories
Leakage Detection And Repair Digitisation Hydrogen

• Asset Digitisation
- Track & monitor productivity
- Updated pipeline/feature mapping
• Reduced Cost of LDAR
- Operational costs
- Larger, ambiguous social cost of carbon
• Asset Risk Confidence
- Future network / hydrogen
- Mitigating uncertainty of risk models
Discovery Review
User Needs

Discovery Review
How We Worked
Project Engagement
• Industry events, networking & questionnaire
• World Gas 2022 paper
• Showcase demonstration & discussions
• Meetings / calls
Research & Costing
• Socio-environmental value approximation
(Greenbook approach)
• Detailed cost benefit analyses
• Use case NPV determination

Discovery Review
Potential Benefits
1 2 3
Operational
Benefits
Commercial
Benefits
Environmental
Benefits
Reduced digging to
find leakage, fewer miss-
digs
Small leaks are
challenging to find but are
still detrimental to the
environment
Reduced costs through
targeted intervention
Confirmation and assurance
that treatments are effective

Looking Ahead
Discovery Findings Taken Forwards
• Targeted problem statements and use
cases to develop go-to-market
strategies
• NPVs and value propositions
• Highlighted key risks for Alpha
• Highlighted partners and further
support

Looking Ahead
Next Stages
• Alpha Bid
• Wider GDN engagement
• Broader engagement
• - Tech
• - Policy
• - Local government
• - International
• Beta / implementation preparation -
Team building, etc.

Contacts
• NGN Project Manager –
Nick Smith – 07594 520005
• NGN Portfolio Manager
Michael Charlton
• Senior NGN Project Sponsor
Richard Hynes-Cooper – 07825 539155
• SynOvate Project Manager
Simon Langdale – 07960 659806
• Partner Contract Manager
David Hardman – 07785 370821

Digital Platform for Leakage
Analytics
Matt Marshall, Cadent
Ameer Jasat & Magali Aurand, Guidehouse

Digital Platform for
Leakage Analytics
Digital Platform for Leakage Analytics - Strategic Innovation Fund
Discovery Show & Tell

Contents
1. Background & Problem Statement
2. Project Outputs
3. Next Steps

Background &
Problem Statement

Gas leakage has economic, social, environmental and policy
consequences
2,500
GWh
total shrinkage
and leakage on
the UK GDNs in
2019/20
30%
the global
anthropogenic
methane emissions
reduction from 2020 to
2030, pledged by 110
countries at COP26
£129M
cost of UK
distribution
networks shrinkage
& leakage gas in
2021/22
25
The global
warming potential
of methane
relative to CO2
34,340
cars
reducing GDN
shrinkage & leakage
by 35% would be
equivalent to removing
this many petrol cars
from the road
1%
of total UK GHG
emissions from
distribution
networks shrinkage
& leakage
1 Shrinkage Overview – Joint GDN Presentation 2019, link
20%
level of hydrogen
blending UK
government wants
gas networks to be
ready for by 2023
£0
£50,000,000
£100,000,000
£150,000,000
£200,000,000
Based on Feb
2022 gas prices
20% green
hydrogen blend
100% green
hydrogen
100% blue
hydrogen
Historic cost to
consumer – all GDNs
Projected cost to
consumer – all GDNs

Project Outputs

This phase developed the DPLA from a technological, conceptual,
regulatory and economic perspective
Current Landscape
& Problem
Definition
• Quantified the
present and future
scale of the leakage
problem
• Clearly defined the
current GDN and
NTS approach
• Defined the problem
statement
Technology & Data
Assessment
• Scoped available
technologies and
methods for methane
detection
• Classified/compared
these by technology
and mode
• Recommended the
most suitable techs
for AGIs and urban
and rural mains
Conceptual Digital
Platform Design
• Developed use
cases and user
requirements for an
MVP and beyond
• Defined vision for
analytics engine
• Defined vision for the
user interface
Regulations &
Route To Market
• Assessed existing
regulatory and
licence conditions
• Developed four
future regulatory
options
• Selected three
options to drive
DPLA forward for
further assessment
in the alpha phase
Business Case
• Identified four key
cost streams and
two benefit streams
• Quantified net
benefits of deploying
DPLA to 2050
• Determined the
impact of gas price,
carbon cost and
increased leakage
sensitivities

A range of technologies are available in the market, some of which we
chose not to screen due to clear technical or economic barriers
CONTINUOUS
NON-CONTINUOUS
MODAL TECHNOLOGICAL
FIXED
HANDHELD
DRONE/UAV
VEHICLE
SATELLITE
Smart
meters
In-pipe
methods
On-pipe
methods
Optical gas
imaging
Tunable diode laser
absorption spectroscopy
LiDAR
Cavity enhanced absorption
spectroscopy
Molecular property
spectrometry
External pipe
monitoring methods
such as fibre optic &
acoustic sensing are
too difficult/expensive
to install retroactively
and are not assessed
Several technologies can be used in multiple modes
which may have certain practical and cost benefits
Satellites are assessed for
completeness but there are
concerns about their low resolution
Internal methods such as pressure point
analysis and mass balances were not
assessed as standalone solutions as these
would not be installed from scratch,
however, the presence of existing internal
measurement devices is considered as
part of a hydraulic model solution
Not assessed
TEMPORAL
AIRCRAFT

There is a trade-off between sensitivity, coverage, and speed, which
should be related to cost per site or mile of pipeline
Technology
Mode
Resolution/
Sensitivity
Cost to
deploy
Pipeline
survey
speed
Commercial
uptake
Number of
distinct
products
Primary
environ-
mental
limitations
Handheld ££££
Mobile ground
labs £££
Unmanned
aerial vehicles ££££
Aircraft ££
Satellites ££
Continuous
(AGIs) £££££
Continuous
(pipelines) £££££
* Based on Guidehouse expertise, knowledge and latest literature e.g. Leak detection methods for
natural gas gathering, transmission, and distribution pipelines – Highwood Emissions
Management - 12th Jan 2022
Technology analysis example: Distribution leak detection technology performance comparison
Real-
time
Real-
time

The DPLA concept and minimum viable product requirements and use
cases were developed in collaboration with all the project partners
Existing SCADA systems
and network telemetry
assets are used to inform an
upgraded hydraulic model
for regional leak detection
AGIs
Primary output is a GIS based visual of network with
reliable emissions info at a granular asset level.
Creation of a static
starting point through
state estimation
DPLA Concept
Pipelines
(Urban)
Pipelines
(Rural)
Handheld &
UAVs (drones)
MGLs & UAVs Aircraft &
MGLs & UAVs
User Requirement User Requirement Description
Analytics engine To perform algorithmic calculations against multiple data sets to evaluate key info
User Interface (UI) Dashboard, split by LDZ or 5 networks, key metrics at user-defined granularity
User Experience (UX) Easy to interact with for key users inc. field technicians, emissions leads, etc
Data storage/historian Storage of data in a cloud or server-based setup
Access control To control user level access
Simulations If I replace a leaking pipe, what would be the revised forecast flow, pressure etc.
Up to date asset info Integration with GIS/ESRI systems.
Forecasting Load in company targets and offer paths to achieving it.
Systems integration Integration with risk modelling and portfolio optimisation tools
Granularity To be able to define the level of granularity at which emissions are assigned
Open API Integrate with hydraulic modelling and other technology data inputs e.g. drones, aircraft…
Use Case Use Case Description
Regulatory reporting/RRP To provide accurate annual reports of gas escape quantity to Ofgem/EA
Emergency intervention Reduce risk to public and property by smarter identification of gas escape location
Year ahead forecasting To inform shippers and meet licence conditions
Condition based monitoring Understanding the state of the network, detection, volume and rate characterisation
Predictive intervention Predict growth rate of the leak and time to failure (cause emergency)
Regulatory performance Avoiding penalties, and securing outperformance on a future regulatory regime
Retrospective modelling Model past emissions in the new way to analyse trends fairly and set new baselines
Scenario forecasting To provide forecasts of future emissions & test different network planning scenarios

Several regulatory options are recommended to be assessed to
determine how they impact the route to market for the digital platform
Future Regulatory Options
Options for Change Outcome Level of Change
1
As-is regulatory framework, licence condition, and
incentives used in GD2
• Marginal improvements in the SLM model are
achieved
• GDNs reduce leakage at similar rates across
GB
No regulatory change required
2
Regulatory framework and licence condition updated to
adopt recommendations from DPLA across all GDNs
• All GDNs achieve a step-change in accuracy of
leakage modelling
• GDNs reduce leakage at similar rates across
GB
Minor regulatory change needed
3
Regulatory framework, licence condition, and incentives
updated to reflect that GDNs individually submit
strategies & plans (incl. projects) to improve leakage
modelling, measurement, reporting and management.
• GDNs compete to develop the best strategies
and plans and are awarded funding to reduce
leakage accordingly
• GDNs achieve varying leakage reduction rates
across GB
Potential for regulatory acceleration
to deliver greater customer value
4
Regulatory framework, licence condition, and incentives
updated to reflect that GDNs have a greater financial
incentive to reduce emissions through improved leakage
modelling, measurement, reporting, and management
• GDNs develop individual strategies to maximise
leakage reduction incentives
• GDNs achieve varying leakage reduction rates
across GB
Potential for regulatory acceleration
to deliver greater customer value
Options 2, 3, & 4 will be considered for further evaluation during the Alpha phase

The project is expected to deliver £542m in cumulative discounted net
financial benefits and 10,790 ktCO2e in carbon benefits to GB by 2050
2029
-1
2038
2028
318
2026
2022 2042
2023 2024
504
-19
2041
2025 2027 2048
2030 2031
267
54
2043
2032
-2
-21
2033
542
542
2034 2035 2036
220
2037 2039
362
2040
168
2044 2045
-27
2046
540
2047 2049 2050
-7
-30
112
-34
399
431
456
484
518 527
542
529 536 542
Cumulative discounted net benefits
DPLA Cumulative discounted net financial benefits
£542m
of cumulative
discounted net
financial benefit
across GB by 2050
7,831
GWh
of gas volumes
saved across
distribution networks
in GB by 2050
10,790
ktCO2e
of GHG emissions
from distribution
networks shrinkage
& leakage by 2050
2030
is the year
the project
breaks even
After 2047, annual costs exceed annual benefits and the DPLA
programme should be reassessed to consider case for continuation

Next Steps

Next steps and considerations for SIF progression and DPLA
development and deployment
Discovery Phase
Conceptual design
8 weeks
Alpha Phase
Solution design & trial design
6 months
Beta Phase
Solution build & trial
24 – 36 months
BaU roll out
Scale beyond trials
ongoing
• Identify the opportunity for improved
leakage management
• Assess the availability of new
technology & data to support leakage
detection
• Design the conceptual process for
leakage management based on
available technology
• Define conceptually how the analytics
platform would support development of
leakage insights
• Assess regulatory options and barriers
for implementing new processes and
technology
• Determine the value of improved leak
detection and management
• Engage solution providers to determine
the availability, costs, and constraints
for the analytics platform
• Develop detailed solution use cases
and requirements
• Develop detailed solution design
(logical architecture, incl. data,
application, technology, security,
business)
• Update project business case
• Engage Ofgem on regulatory framework
options for leakage management &
incentives
• Develop trial design for Beta Phase
• GD2 & GD3 leakage management
framework updated
• GD Licence Condition updated to
reflect changes from common
Shrinkage & Leakage Model to ‘new’
approach
• GDNs scale analytics platform
beyond trial locations
• GDNs track benefits
• Engage solution provider to build
analytics platform
• Finalise architecture design with
solution provider
• Build/develop analytics platform
• Conduct platform testing
• Identify trial locations
• Develop trial strategies & plans
• Conduct live trials
• Assess trial results
• Update business cases
• Engage Ofgem on regulatory
framework recommendations for
leakage management & incentives
• Develop BaU roll out strategy
• Develop BaU processes incl. benefits
tracking frameworks
Key considerations to ensure successful BaU roll out:
• Alignment across GDNs on the proposed solution design will ensure scalability of the solution across GB.
• Regulatory frameworks and Licence conditions will need to be adjusted to enable and incentivize new solutions to be rolled out beyond trial locations.

2022 2023
Aug Sep Oct Nov Dec Jan
D1.2 Rollout plan
Develop commercial rollout plan for beta phase and BaU
D3.1 Market research summary
D1.3 Business plan
D3.2 Case studies
Develop and release requests for information
Conduct assessment of hydraulic model
Define requirements for data collection from each technology type
D3.5 Technology selection
Determine best fit technology type based on research and case studies
D4.4 SLM options analysis
Elicit detailed requirements for analytics platform
W4: Change
D3.4 Data requirements
D2.6 Hydraulic model recommendations
Develop an engineering and operational change impact assessment
Develop a regulatory change options analysis and recommendations
Engage key stakeholders (e.g., BEIS, Ofgem, Sustainability First)
Conduct an business change impact assessment
Kick off
meeting
D2.5 Current state assessment
D4.1 Options analysis and recommendations
D2.2 Requirements matrix
D2.3 Solutions architecture
W5: Stakeholder Engagement & Knowledge Sharing
Conduct market research on vendors and engage vendors for demos
Develop IS and ML solution architecture
D5.1 Stakeholder engagement plan
Publish Progress Report
Develop stakeholder engagement plan
Develop case studies to understand practical applications for technology
W3: Technical Options, Selection, and Feasibility
Develop approach to engage with customers (e.g. focus group, survey)
D3.3 Business model options analysis
W6: Project Management
Develop materials on learnings for dissemination on social media
D4.2 Business change impact assessment
D4.3 Operational change impact assessment
End of Phase Webinar
and Report
Share learnings via S&L forum and other industry fora
WP 1: Commercial
D1.1 Design options analysis
D2.4 RFI
Facilitate project steering committee meetings
Work Packages and Key Tasks
Develop requirements for enhancements to hydraulic model
Conduct market research on potential vendors
Assess and recommend preferred option for SLM change
D2.1 Market research summary
WP2: Digital Platform and Analytics Design
Refine initial business case based on alpha learnings
Assess commercial design options and IP arrangements
D5.2 Customer learnings
Develop business model options and analysis for each technology type
D5.3 Engagement materials
Alpha Phase Project Plan
This phase is expected to last 6 months—from August to February

Q&A – Data and Digitalisation challenge
4. Thermal imagery analysis - Condition assessment fluid and pressure
5. Digital Platform for Leakage Analytics

Other Show and Tells
Data and Digitalisation
Whole System
Weather and predictive analytics
Projects (Monday 23 May 09.00-
11:30)
Increasing flexibility sources in energy
system and Hydrogen deployment
and integration (Monday 23 May
13:00 – 15:30
Whole System Integration(Monday 23
May 09:00 – 11:30
Registration page will be shared in
the chat
https://www.eventbrite.com/cc/ofge
m-sif-round-1-discovery-show-and-
tells-259469?utm-
campaign=social&utm-
content=attendeeshare&utm-
medium=discovery&utm-
term=odclsxcollection&utm-
source=cp&aff=odclsxcollection

Now Open for Ideas - Ofgem’s Strategic Innovation Fund
A £450m fund for large scale electricity and gas energy network innovation
Each challenge area has key themes which must be addressed. The projects
against these can be technical, social, commercial and/or market innovations.
Supporting a just energy transition
Preparing for a net zero power
system
Improving energy system resilience
and robustness
Accelerating decarbonisation of
major demands
Inclusivity, accessibility, and cost of
living crisis
A fully decarbonised power system by
2035
Energy security and energy system
durability
Decarbonisation of heat, transport,
and buildings
Round 2 Challenges
Supporting
Launch Events – Wednesday 25 May 11:00 – 12:30 and 13:30 – 15:00
Check out the link in the chat

Thank you

Show and Tell - Data and Digitalisation, Gas Network Asset Monitoring and Analysis Projects.pdf

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