SlideShare a Scribd company logo
Digital Energy Services
for Healthcare
Online Demo
Chris Brown, Public Sector Lead (England)
David Ross, ICL Partner Operations Manager
Mark Gifford, Associate Director, Energy Services
Net-Zero Challenges
 Net-Zero Health Service by 2045
 A digital, low-carbon transformation
 Operation of NHS facilities makes up 15% of NHS Carbon
Footprint, of which 10% is building energy (operational carbon)
 New NHS Net-Zero Building Standard
 Applies to new buildings & upgrades to existing facilities from
1st October 2023
 Sustainable, resilient and energy efficient
 Buildings designed for energy compliance, but controlled for
clinical function.
 Mix of old and new buildings that are complex, dynamic, and energy
intensive, with PFI & health & wellbeing requirements.
www.iesve.com
Making Informed Decisions
www.iesve.com
 How can you reduce the carbon impact of your health facilities
while balancing other priorities? (i.e. energy costs, health &
wellbeing)
 Reliable data is essential to make informed decisions and set
realistic decarbonisation targets
 Identify operational improvements to reduce costs, improve
energy efficiency & lower carbon footprints
 Make informed retrofit/renovation/rebuild decisions
 Assess potential for renewable integration to increase
production from clean sources
 De-risk investments
www.iesve.com
The ICL Digital Twin
 A virtual replica which gathers real data and
uses physics-based simulations to respond and
behave in the same way as its real-world
counterpart
 Allows you to analyse how your buildings and
associated infrastructure are performing now,
gain insights into how they should be
performing and explore different scenarios to
understand the impacts of future changes
 Provides decision support information to
improve asset performance, influence future
building design and retrofit and reduce
investment risks
Physics Enabled Simulation
 Based on fundamental
physics principles
 Simulates the physics of
energy & heat flow
Real & Virtual Sensor Data
 IoT & BMS Data from
the Real Building
 Virtual Sensor Data
from the Simulation
AI & Machine Learning
 Enables data driven prediction
 Fills data gaps & checks for anomalies
Digital Twin
Leverages the best of both Building Simulation,
Sensor Data, AI & Machine Learning
The Best of Physics, Data and AI/ML
www.iesve.com
Digital Twin Applications
www.iesve.com
Audience Poll
Challenges: Mixed Building Stock
www.iesve.com
 Dealing with multiple types of building facilities
 Where to focus attention at the Campus level
 Deep retrofit of old buildings
 Performance verification & energy management of new buildings
Old New
Campus
Challenges: Mixed Building Stock
www.iesve.com
 Existing Campus
 1900-1910 History
 100-yr old Listed Buildings
 Derelict / Asbestos etc
 Green Belt Constraints
 Blend of Old + New
 District Heating
 ‘Fabric First’ etc
 Technology has evolved massively in last 15-20 years
 Convergence of BMS/IoT industries
 Lots of NHS properties do not have BMS systems in place
 Existing BMS systems 20-30 yrs old need upgraded
 Smart Building agenda and evolving standards driving easy access to
data e.g. NHS Net-Zero Standard
 Extensive metering & monitoring specification elements
 Enhanced Commissioning, Post Occupancy Evaluation (POE),
Measurement & Verification (M&V)
 Use of digital techniques such as advanced energy modelling,
building and asset management systems and digital twins to
optimise buildings and systems, reduce the performance gap and
drive resource efficiency
Challenges: Technology Stock
& Data Acquisition
www.iesve.com
Data Source – Sub Meters
www.iesve.com
Demonstration
Barts Health NHS
Trust
England
 The Trust’s ambition was to be the most sustainable
in the UK by 2020; leading the way in the NHS as an
exemplar of best practice, knowledge sharing and
innovation
 Digital Twin provided virtual benchmark for
identification of operational issues and virtual
testing of Energy Conservation Measures (ECMs)
 Strategic review of energy management and data
acquisition
Digital Twins
in Action
“Now that many of the ‘quick win’ and short payback measures
have been implemented, the organization needs to work hard to
achieve the 2020 target and seek transformational change in
order to achieve the 2050 target."
Fiona Daly
Associate Director of Sustainability & Patient Transport, Barts
Health NHS Trust
Barts Health NHS Trust – Alex Wing
www.iesve.com
Energy Conservation Measures Reviewed3 Energy Demand Changes
1. Changes to controls strategies • 29% reduction in Gas Energy Demand
• 6% reduction in Electricity Energy Demand
2. Changes to plant operation schedules and the
addition of AHU inverters
• 19% reduction in Gas Energy Demand
• 3.5% reduction in Electricity Energy Demand
3. Installation of Solar PV and CHP • 35% increase in Gas Energy Demand
• 23% reduction in Electricity Energy Demand
• 13% reduction in Energy Cost
• 9% reduction in CO2 Emissions
4. If all above measures were implemented/installed • 22.5% reduction in Gas Energy Demand
• 30% reduction in Electricity Energy Demand
• 28% reduction in Energy Costs
• 27% reduction in CO2 Emissions
Thank You
Any Questions?
chris.brown@iesve.com
david.ross@iesve.com
mark.gifford@iesve.com

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Digital Energy Services for Healthcare.pdf

  • 1. Digital Energy Services for Healthcare Online Demo Chris Brown, Public Sector Lead (England) David Ross, ICL Partner Operations Manager Mark Gifford, Associate Director, Energy Services
  • 2. Net-Zero Challenges  Net-Zero Health Service by 2045  A digital, low-carbon transformation  Operation of NHS facilities makes up 15% of NHS Carbon Footprint, of which 10% is building energy (operational carbon)  New NHS Net-Zero Building Standard  Applies to new buildings & upgrades to existing facilities from 1st October 2023  Sustainable, resilient and energy efficient  Buildings designed for energy compliance, but controlled for clinical function.  Mix of old and new buildings that are complex, dynamic, and energy intensive, with PFI & health & wellbeing requirements. www.iesve.com
  • 3. Making Informed Decisions www.iesve.com  How can you reduce the carbon impact of your health facilities while balancing other priorities? (i.e. energy costs, health & wellbeing)  Reliable data is essential to make informed decisions and set realistic decarbonisation targets  Identify operational improvements to reduce costs, improve energy efficiency & lower carbon footprints  Make informed retrofit/renovation/rebuild decisions  Assess potential for renewable integration to increase production from clean sources  De-risk investments
  • 4. www.iesve.com The ICL Digital Twin  A virtual replica which gathers real data and uses physics-based simulations to respond and behave in the same way as its real-world counterpart  Allows you to analyse how your buildings and associated infrastructure are performing now, gain insights into how they should be performing and explore different scenarios to understand the impacts of future changes  Provides decision support information to improve asset performance, influence future building design and retrofit and reduce investment risks
  • 5. Physics Enabled Simulation  Based on fundamental physics principles  Simulates the physics of energy & heat flow Real & Virtual Sensor Data  IoT & BMS Data from the Real Building  Virtual Sensor Data from the Simulation AI & Machine Learning  Enables data driven prediction  Fills data gaps & checks for anomalies Digital Twin Leverages the best of both Building Simulation, Sensor Data, AI & Machine Learning The Best of Physics, Data and AI/ML www.iesve.com
  • 8. Challenges: Mixed Building Stock www.iesve.com  Dealing with multiple types of building facilities  Where to focus attention at the Campus level  Deep retrofit of old buildings  Performance verification & energy management of new buildings Old New Campus
  • 9. Challenges: Mixed Building Stock www.iesve.com  Existing Campus  1900-1910 History  100-yr old Listed Buildings  Derelict / Asbestos etc  Green Belt Constraints  Blend of Old + New  District Heating  ‘Fabric First’ etc
  • 10.  Technology has evolved massively in last 15-20 years  Convergence of BMS/IoT industries  Lots of NHS properties do not have BMS systems in place  Existing BMS systems 20-30 yrs old need upgraded  Smart Building agenda and evolving standards driving easy access to data e.g. NHS Net-Zero Standard  Extensive metering & monitoring specification elements  Enhanced Commissioning, Post Occupancy Evaluation (POE), Measurement & Verification (M&V)  Use of digital techniques such as advanced energy modelling, building and asset management systems and digital twins to optimise buildings and systems, reduce the performance gap and drive resource efficiency Challenges: Technology Stock & Data Acquisition www.iesve.com
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  • 12. Data Source – Sub Meters www.iesve.com
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  • 20. Barts Health NHS Trust England  The Trust’s ambition was to be the most sustainable in the UK by 2020; leading the way in the NHS as an exemplar of best practice, knowledge sharing and innovation  Digital Twin provided virtual benchmark for identification of operational issues and virtual testing of Energy Conservation Measures (ECMs)  Strategic review of energy management and data acquisition
  • 21. Digital Twins in Action “Now that many of the ‘quick win’ and short payback measures have been implemented, the organization needs to work hard to achieve the 2020 target and seek transformational change in order to achieve the 2050 target." Fiona Daly Associate Director of Sustainability & Patient Transport, Barts Health NHS Trust
  • 22. Barts Health NHS Trust – Alex Wing www.iesve.com Energy Conservation Measures Reviewed3 Energy Demand Changes 1. Changes to controls strategies • 29% reduction in Gas Energy Demand • 6% reduction in Electricity Energy Demand 2. Changes to plant operation schedules and the addition of AHU inverters • 19% reduction in Gas Energy Demand • 3.5% reduction in Electricity Energy Demand 3. Installation of Solar PV and CHP • 35% increase in Gas Energy Demand • 23% reduction in Electricity Energy Demand • 13% reduction in Energy Cost • 9% reduction in CO2 Emissions 4. If all above measures were implemented/installed • 22.5% reduction in Gas Energy Demand • 30% reduction in Electricity Energy Demand • 28% reduction in Energy Costs • 27% reduction in CO2 Emissions