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©BuildingIQ 2018 1
Expanding the DigitalTwin
Digitalization of Pneumatic-controlled Buildings through Big Data & the IoT
Any Questions? PleaseType them in…
Expanding the DigitalTwin
Digitalization of Pneumatic-controlled Buildings through Big Data & the IoT
©BuildingIQ 2018 2
Steve Nguyen – BuildingIQ
Harry Sim – Cypress Envirosystems
Agenda
• What is a DigitalTwin?
• BuildingIQ Overview
• Cypress Envirosystems Overview
• Enabling the DigitalTwin in Pneumatic-control Buildings
• Benefits
• Case Examples
• Getting Started
• Q&A
©BuildingIQ 2018 3
DigitalTwin – byWikipedia
©BuildingIQ 2018 4
A digital replica of physical assets, processes and systems that can be
used for various purposes. Provides both the elements and the dynamics of how an
Internet ofThings device operates and lives throughout its life cycle. Digital twins
integrate artificial intelligence, machine learning and software analytics with data
to create living digital simulation models that update and change as their physical
counterparts change.
A digital twin continuously learns and updates itself from multiple sources
to represent its near real-time status, working condition or position.This learning
system, learns from itself, using sensor data that conveys various aspects of its
operating condition; from human experts, such as engineers with deep and relevant
industry domain knowledge; from other similar machines; from other similar fleets
of machines; and from the larger systems and environment in which it may be a part
of. A digital twin also integrates historical data…
DigitalTwins
From Rules to AI
©BuildingIQ 2018 5
Artificial Intelligence
Machine Learning
Reinforced Learning
Transfer Learning
Extreme Learning
Machines
Model
Optimize
Control
Learn
DigitalTwin
LearningCycle
©BuildingIQ 2018 6
Overview
©BuildingIQ 2018 7
Build a Better Building IoT
Supporting Pillars
©BuildingIQ 2018 8
Build a Better Building IoT
BuildingIQ 5i Enabling Platform
Building IQ Confidential 9
Tariff
Weather
Control/BMS
(data)
CPM.l
CPM.l
CPM.l
…
Comfort/App
(data)
CM.l
CM.l
CM.l
…
Assets
(data)
FW
FW
FW
…
Meter
Pulse
CT
BMS
…
Smart City
Meta Data
Power
Source
IoT Sensors
(data)
CM.l
CM.l
CM.l
…
Non-Integrated
Partners/Subs
Integrated
Partner Data)
1
2
3
…
API|Feed
Control Models
Comfort Model
Thermal Model Optimizer
Correlation
Engine
Normalization
Engine
Lightweight Appliance
API
Services
Asset Registry
Customer
Master
Meter
Repository
Trending
Comms Engine
Analytics/
Diagnosis
Power
Source
Invtr
Invtr
Invtr
…
The 5i Journey
Technology Powered Services
©BuildingIQ 2018 10
Control Optimization
AI and data science decode
insights in energy data for fault
detection and operational
benefits
Visualizing energy data to
understand usage across
portfolios
Buildings can be
intelligently and continually
controlled with cloud based
solutions
Accurate prediction and
optimization with
automatic actions to
achieve maximum energy
efficiency
AnalyticsVisualization
Visualization Analytics Control
5i Platform
Optimization
Integrated Ticketing | Mobile App | Audit | Work Order and Asset Management |
Preventive Maintenance | Escalations | Order Triage | Notifications
5i Powered Services For Every Part of the Journey
Overview
©BuildingIQ 2018 12
Challenges with Pneumatic Controls
• Fully mechanical devices – no communication,
no data, no remote control
• Wastes Energy
• Higher maintenance cost, no fault detection or
notification
• Uncomfortable occupants
Pneumatic Controls Still Used in about 70% of Non-Residential Buildings
VFD
Return
Air
Outside
Air
Supply
Fan
Main Supply Duct
VAV
Terminal
Box
T
T
T
T
T
T
Thermostat
not
calibrated
Branch line
air leak
Stuck
actuator
Insufficient
cooling
capacity
No main
air pressure
Oscillating
damper
Cannot See Lurking Issues…
It’s COLD
here. Again!
Sorry,
ma’am. We
thought that
was fixed.
Cannot Implement Energy Savings Strategies (examples)
 Temperature Setpoint Enforcement
 Separate Heating and Cooling Setpoints
 Programmable Occupancy Schedules
 Auto Demand Response (zone level)
? Duct Static Pressure Control
? Supply AirTemperature Resets
? Optimal Start/Stop
No remote control
No programmability
No/Limited zone
sensor data
Compared to fully digital buildings, pneumatically-controlled buildings use 20-30% more energy
• Manual control, non-communicating
• No fault detection, no energy savings
strategies
• Manual Calibration Required
DDC in 20 Minutes!
Non-Invasive Pneumatic to DDC Retrofit
• Remote Monitoring, Alarming, Control
• BACnet Integration with 3rd party BAS
• Automatic Self-calibration
• Programmable energy savings, demand response
Simply remove existing thermostat from wall, connect WPT, activate wireless interface
Cypress Envirosystems
Wireless Pneumatic Thermostat
Enabling the DigitalTwin
Pneumatic-controlled Buildings
©BuildingIQ 2018 17
The DigitalTwin ChallengeWith Older Buildings
• Pneumatic control at the zone
• No feedback
• No visibility
• No external control
• Manual diagnostics
• Cloud-control challenges
• AHU control (possibly) but no zone level feedback
• Danger in making people uncomfortable
• Mathematical averages for zone don’t account for variances in occupancy, radiance, manual
overrides, etc.
©BuildingIQ 2018 18
Visualization Analytics Control
5i Platform
Optimization
IoT
Pneumatics
Melded DigitalTwin Solution
• Cypress wireless pneumatic thermostats enable:
• Wireless communications
• Centralized control
• Local diagnostics
• Temp Setpoint Policy
• Night/Weekend Setback & Occupancy Override
• Retro Commissioning / Diagnostics
• DeadbandTemp Policy
• Auto Demand Response / Peak Load Shedding
• BuildingIQ 5i services enable:
• Energy visualization
• Cost-based optimization at the whole building
• Zone level optimization without sacrificing comfort
• Expanded data analytics for operational efficiency
• AHU SupplyAirTemperature / SupplyAir Pressure predictive setpoint strategy
• Predictive Zone temperature guidance
• Predictive optimal start / stop
• System diagnostics
• Baselining with AM&V
©BuildingIQ 2018 20
Case Studies
DigitalTwinning for Pneumatic-controlled Buildings
©BuildingIQ 2018 21
311 S.Wacker Drive, Chicago - ComEd Case Study
• Built in 1990, 65 StoryTower Chicago Loop,
premium ClassA Office, 1.4 million sq-ft
• WPT Retrofit delivered
33% HVAC energy savings
• Under 2 year payback
• $440,000 rebate by ComEd
• Retrofit installation took six weeks
(compared to years for conventional DDC
retrofit)
M&VValidated 20% Savings at NYC School
• Edward Hart Middle school Queens, NYC
• Uses Oil Fired Boilers, hot water radiators
• Fault detection, example:
• Radiator hot water valve stuck open
• Undetected probably many years
• Occupants open window to compensate
• Maintenance staff stretched thin,
no data, not aware of situation
© BuildingIQ 2018 24
NYCTower
• Largest LEED-EB in NYC
• A-Grade 2.5m SF
• Schneider BMS
• 7 FT engineers
$800k+ annualised savings
13% HVAC reduction
3x payback on typical
subscription fees
$(100,000)
$-
$100,000
$200,000
$300,000
$400,000
$500,000
$600,000
$700,000
BuildingIQ Cumulative Savings
© BuildingIQ 2018 25
St. John of God Hospital
• Based in Perth,Australia
• 38,450 square meters (413,872 sq. ft.)
• Provides full medical services
• 6 month proof of concept
• Goal of 5% total energy savings based
on 80% of the building space
• Goal was achieved with only 50% of the
building space
Want to learn more?
DigitalTwinning for Pneumatic-controlled Buildings
©BuildingIQ 2018 26
Contact Us
• Steve Nguyen - BuildingIQ
• 2121 S El Camino Real, Suite 200
San Mateo,CA 94403
• (408) 438-3591
• steven@buildingiq.com
• www.buildingiq.com
• Harry Sim - Cypress Envirosystems, Inc.
• 5883 Rue Ferrari, Suite 100
San Jose, CA 95138
• (408) 307-0922
• harry.sim@cypressenvirosystems.com
• www.CypressEnvirosystems.com
©BuildingIQ 2018 27
THANKYOU!
DigitalTwinning for Pneumatic-controlled Buildings
©BuildingIQ 2018 28
©BuildingIQ 2018 29

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Creating Smart Buildings through Digital Twins

  • 1. ©BuildingIQ 2018 1 Expanding the DigitalTwin Digitalization of Pneumatic-controlled Buildings through Big Data & the IoT Any Questions? PleaseType them in…
  • 2. Expanding the DigitalTwin Digitalization of Pneumatic-controlled Buildings through Big Data & the IoT ©BuildingIQ 2018 2 Steve Nguyen – BuildingIQ Harry Sim – Cypress Envirosystems
  • 3. Agenda • What is a DigitalTwin? • BuildingIQ Overview • Cypress Envirosystems Overview • Enabling the DigitalTwin in Pneumatic-control Buildings • Benefits • Case Examples • Getting Started • Q&A ©BuildingIQ 2018 3
  • 4. DigitalTwin – byWikipedia ©BuildingIQ 2018 4 A digital replica of physical assets, processes and systems that can be used for various purposes. Provides both the elements and the dynamics of how an Internet ofThings device operates and lives throughout its life cycle. Digital twins integrate artificial intelligence, machine learning and software analytics with data to create living digital simulation models that update and change as their physical counterparts change. A digital twin continuously learns and updates itself from multiple sources to represent its near real-time status, working condition or position.This learning system, learns from itself, using sensor data that conveys various aspects of its operating condition; from human experts, such as engineers with deep and relevant industry domain knowledge; from other similar machines; from other similar fleets of machines; and from the larger systems and environment in which it may be a part of. A digital twin also integrates historical data…
  • 5. DigitalTwins From Rules to AI ©BuildingIQ 2018 5 Artificial Intelligence Machine Learning Reinforced Learning Transfer Learning Extreme Learning Machines
  • 8. Build a Better Building IoT Supporting Pillars ©BuildingIQ 2018 8
  • 9. Build a Better Building IoT BuildingIQ 5i Enabling Platform Building IQ Confidential 9 Tariff Weather Control/BMS (data) CPM.l CPM.l CPM.l … Comfort/App (data) CM.l CM.l CM.l … Assets (data) FW FW FW … Meter Pulse CT BMS … Smart City Meta Data Power Source IoT Sensors (data) CM.l CM.l CM.l … Non-Integrated Partners/Subs Integrated Partner Data) 1 2 3 … API|Feed Control Models Comfort Model Thermal Model Optimizer Correlation Engine Normalization Engine Lightweight Appliance API Services Asset Registry Customer Master Meter Repository Trending Comms Engine Analytics/ Diagnosis Power Source Invtr Invtr Invtr …
  • 10. The 5i Journey Technology Powered Services ©BuildingIQ 2018 10 Control Optimization AI and data science decode insights in energy data for fault detection and operational benefits Visualizing energy data to understand usage across portfolios Buildings can be intelligently and continually controlled with cloud based solutions Accurate prediction and optimization with automatic actions to achieve maximum energy efficiency AnalyticsVisualization
  • 11. Visualization Analytics Control 5i Platform Optimization Integrated Ticketing | Mobile App | Audit | Work Order and Asset Management | Preventive Maintenance | Escalations | Order Triage | Notifications 5i Powered Services For Every Part of the Journey
  • 13. Challenges with Pneumatic Controls • Fully mechanical devices – no communication, no data, no remote control • Wastes Energy • Higher maintenance cost, no fault detection or notification • Uncomfortable occupants Pneumatic Controls Still Used in about 70% of Non-Residential Buildings
  • 14. VFD Return Air Outside Air Supply Fan Main Supply Duct VAV Terminal Box T T T T T T Thermostat not calibrated Branch line air leak Stuck actuator Insufficient cooling capacity No main air pressure Oscillating damper Cannot See Lurking Issues… It’s COLD here. Again! Sorry, ma’am. We thought that was fixed.
  • 15. Cannot Implement Energy Savings Strategies (examples)  Temperature Setpoint Enforcement  Separate Heating and Cooling Setpoints  Programmable Occupancy Schedules  Auto Demand Response (zone level) ? Duct Static Pressure Control ? Supply AirTemperature Resets ? Optimal Start/Stop No remote control No programmability No/Limited zone sensor data Compared to fully digital buildings, pneumatically-controlled buildings use 20-30% more energy
  • 16. • Manual control, non-communicating • No fault detection, no energy savings strategies • Manual Calibration Required DDC in 20 Minutes! Non-Invasive Pneumatic to DDC Retrofit • Remote Monitoring, Alarming, Control • BACnet Integration with 3rd party BAS • Automatic Self-calibration • Programmable energy savings, demand response Simply remove existing thermostat from wall, connect WPT, activate wireless interface Cypress Envirosystems Wireless Pneumatic Thermostat
  • 17. Enabling the DigitalTwin Pneumatic-controlled Buildings ©BuildingIQ 2018 17
  • 18. The DigitalTwin ChallengeWith Older Buildings • Pneumatic control at the zone • No feedback • No visibility • No external control • Manual diagnostics • Cloud-control challenges • AHU control (possibly) but no zone level feedback • Danger in making people uncomfortable • Mathematical averages for zone don’t account for variances in occupancy, radiance, manual overrides, etc. ©BuildingIQ 2018 18
  • 19. Visualization Analytics Control 5i Platform Optimization IoT Pneumatics
  • 20. Melded DigitalTwin Solution • Cypress wireless pneumatic thermostats enable: • Wireless communications • Centralized control • Local diagnostics • Temp Setpoint Policy • Night/Weekend Setback & Occupancy Override • Retro Commissioning / Diagnostics • DeadbandTemp Policy • Auto Demand Response / Peak Load Shedding • BuildingIQ 5i services enable: • Energy visualization • Cost-based optimization at the whole building • Zone level optimization without sacrificing comfort • Expanded data analytics for operational efficiency • AHU SupplyAirTemperature / SupplyAir Pressure predictive setpoint strategy • Predictive Zone temperature guidance • Predictive optimal start / stop • System diagnostics • Baselining with AM&V ©BuildingIQ 2018 20
  • 21. Case Studies DigitalTwinning for Pneumatic-controlled Buildings ©BuildingIQ 2018 21
  • 22. 311 S.Wacker Drive, Chicago - ComEd Case Study • Built in 1990, 65 StoryTower Chicago Loop, premium ClassA Office, 1.4 million sq-ft • WPT Retrofit delivered 33% HVAC energy savings • Under 2 year payback • $440,000 rebate by ComEd • Retrofit installation took six weeks (compared to years for conventional DDC retrofit)
  • 23. M&VValidated 20% Savings at NYC School • Edward Hart Middle school Queens, NYC • Uses Oil Fired Boilers, hot water radiators • Fault detection, example: • Radiator hot water valve stuck open • Undetected probably many years • Occupants open window to compensate • Maintenance staff stretched thin, no data, not aware of situation
  • 24. © BuildingIQ 2018 24 NYCTower • Largest LEED-EB in NYC • A-Grade 2.5m SF • Schneider BMS • 7 FT engineers $800k+ annualised savings 13% HVAC reduction 3x payback on typical subscription fees $(100,000) $- $100,000 $200,000 $300,000 $400,000 $500,000 $600,000 $700,000 BuildingIQ Cumulative Savings
  • 25. © BuildingIQ 2018 25 St. John of God Hospital • Based in Perth,Australia • 38,450 square meters (413,872 sq. ft.) • Provides full medical services • 6 month proof of concept • Goal of 5% total energy savings based on 80% of the building space • Goal was achieved with only 50% of the building space
  • 26. Want to learn more? DigitalTwinning for Pneumatic-controlled Buildings ©BuildingIQ 2018 26
  • 27. Contact Us • Steve Nguyen - BuildingIQ • 2121 S El Camino Real, Suite 200 San Mateo,CA 94403 • (408) 438-3591 • steven@buildingiq.com • www.buildingiq.com • Harry Sim - Cypress Envirosystems, Inc. • 5883 Rue Ferrari, Suite 100 San Jose, CA 95138 • (408) 307-0922 • harry.sim@cypressenvirosystems.com • www.CypressEnvirosystems.com ©BuildingIQ 2018 27
  • 28. THANKYOU! DigitalTwinning for Pneumatic-controlled Buildings ©BuildingIQ 2018 28

Editor's Notes

  1. Use the Nest Learning Thermostat example…or FitBit to show the delta between