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Digitising Energy Efficiency
through Virtual Audits
Nilesh Y. Jadhav
Co-Founder & CEO
Qi Square Pte Ltd, Singapore
Future Energy Show, Thailand 2019
27 Nov 2019
Market Context
 Buildings are the largest consumers of
energy on the planet – 40%
 Over the next 20 years, governments and
private players will spend $22 trillion
on retrofits in buildings to save energy
 Rapid urbanization will increase the
building footprint to 1.7 times current
number by 2040 (4.2 trillion sq. ft.)
*Data source: 2018 IEA Energy Efficiency Market Report
Our Mission
Energy intelligence to simplify decision making in the built environment
Virtual
Audits
Green
Certification
 Manual Performance Assessment
 Heavy Reliance on Expertise
 Trial & Error Approach
 Limited Stakeholder Engagement
Digital Twin
Augmented
Intelligence
Our Solution: Virtual Audits
A performance assessment tool
to uncover energy efficiency
improvements in buildings
remotely
Time
Money
Holistic
Accuracy
At scale,
across portfolio
in no time
50-70% faster than
on-site audit
Cost-effective
60-80% cheaper than
on-site audit
Accurate Results
ASHRAE Level2 equivalent,
IPMVP compliant
Whole Building
System-level interaction
of Energy Conservation
Measures for planning
Virtual Audits: Value Differentiators
Virtual Audits: Methodology
Virtual Audits: Process-I
Data Collection
Digital Twin
setup
Energy
Conservation
Measures (ECMs)
Implement
ECMs
 1 year of energy
consumption data
 Building details
 Optional short survey
 Optional sensors
placement
 Add weather, GIS,
occupancy, etc. data
 Create energy model
 Model calibration
 Data analysis
 Simulate ECMs
 Assess overall impact
 Retrocomissioning
 Retrofitting
 Calculate Financials
(Payback, ROI)
Prioritisation support
Constitutes an ASHRAE Level2Audit
* ASHRAE:American Society of Heating, Refrigeration Engineers
Virtual Audits: Process-II
Complies with IPMVP Option-D
verification of energy savings
Verification of
Savings
* IPMVP: International Performance Measurement andVerification Protocol
 Calibrated simulation with
implemented ECMs
 Data Analysis
Implement
ECMs
Case Study: Virtual Audits
3D Virtual Model
Digital Twin Creation: Suburban Shopping Mall, Singapore
 Building data
 Overall: address, GFA, function
 Architectural, Structural: CAD drawings, BIM
 Mechanical & Electrical: layouts, equipment specs
 Operational data: schedules, profiles
 Energy Consumption data
 Multiphysics Dynamic Simulation
 Integrated withWeather Data
 Building data integrated
Case Study: Virtual Audits
Calibration Metric/Errors Achieved
Required-
ASHRAE
Required-
IPMVP
Normalised Mean Bias Error (MBE)- Overall
Monthly
0.73% ± 5% ± 20%
Coefficient of Variation of the Root Mean Square
Error (CVRMSE)- Overall Monthly
1.38% 15 --
NMBE- Overall Hourly 0.01% ± 10% ± 5%
CVRMSE- Overall Hourly 12.01% 30% 20%
NMBE- Cooling Energy Monthly 1.33%
CVRMSE- Cooling Energy Monthly 2.56%
Digital Twin Calibration
Calibration to
well-known industry
standards
Case Study: Virtual Audits
Energy Breakdown Analysis
Case Study: Virtual Audits
Energy Demand & Renewables Integration Analysis
Case Study: Virtual Audits
Energy Conservation Measures Analysis
Savings % Capex Payback
10% $ 0.7 mil. 4.2 yrs
20% $ 2 mil. 3.8 yrs
30% $ 3.3 mil. 4.5 yrs
40% $ 5.3 mil. 5.7 yrs
50% $ 8.2 mil. 6.7 yrs
Energy Conservation Measures are a mix of
a) Retrocomissioning: operational changes
b) Retrofits: involve capex
c) Combination of ECMs can be simulated,
e.g. Solar PV effect on heat reduction
Virtual Audits: Live
Real-time data analysis tool focused on energy performance improvement
New launch!
http://live.qi-square.com
Case Study: Virtual AuditsLive Verification
Measurement & Verification using actual data
Thanks
Looking for partners to digitize Energy Efficiency together
Nilesh Jadhav
nilesh@qisquare.sg
http://www.qisquare.sg

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Qi Square: Digitizing Energy Efficiency Through Virtual Audits

  • 1. Digitising Energy Efficiency through Virtual Audits Nilesh Y. Jadhav Co-Founder & CEO Qi Square Pte Ltd, Singapore Future Energy Show, Thailand 2019 27 Nov 2019
  • 2. Market Context  Buildings are the largest consumers of energy on the planet – 40%  Over the next 20 years, governments and private players will spend $22 trillion on retrofits in buildings to save energy  Rapid urbanization will increase the building footprint to 1.7 times current number by 2040 (4.2 trillion sq. ft.) *Data source: 2018 IEA Energy Efficiency Market Report
  • 3. Our Mission Energy intelligence to simplify decision making in the built environment Virtual Audits Green Certification
  • 4.  Manual Performance Assessment  Heavy Reliance on Expertise  Trial & Error Approach  Limited Stakeholder Engagement Digital Twin Augmented Intelligence Our Solution: Virtual Audits A performance assessment tool to uncover energy efficiency improvements in buildings remotely
  • 5. Time Money Holistic Accuracy At scale, across portfolio in no time 50-70% faster than on-site audit Cost-effective 60-80% cheaper than on-site audit Accurate Results ASHRAE Level2 equivalent, IPMVP compliant Whole Building System-level interaction of Energy Conservation Measures for planning Virtual Audits: Value Differentiators
  • 7. Virtual Audits: Process-I Data Collection Digital Twin setup Energy Conservation Measures (ECMs) Implement ECMs  1 year of energy consumption data  Building details  Optional short survey  Optional sensors placement  Add weather, GIS, occupancy, etc. data  Create energy model  Model calibration  Data analysis  Simulate ECMs  Assess overall impact  Retrocomissioning  Retrofitting  Calculate Financials (Payback, ROI) Prioritisation support Constitutes an ASHRAE Level2Audit * ASHRAE:American Society of Heating, Refrigeration Engineers
  • 8. Virtual Audits: Process-II Complies with IPMVP Option-D verification of energy savings Verification of Savings * IPMVP: International Performance Measurement andVerification Protocol  Calibrated simulation with implemented ECMs  Data Analysis Implement ECMs
  • 9. Case Study: Virtual Audits 3D Virtual Model Digital Twin Creation: Suburban Shopping Mall, Singapore  Building data  Overall: address, GFA, function  Architectural, Structural: CAD drawings, BIM  Mechanical & Electrical: layouts, equipment specs  Operational data: schedules, profiles  Energy Consumption data  Multiphysics Dynamic Simulation  Integrated withWeather Data  Building data integrated
  • 10. Case Study: Virtual Audits Calibration Metric/Errors Achieved Required- ASHRAE Required- IPMVP Normalised Mean Bias Error (MBE)- Overall Monthly 0.73% ± 5% ± 20% Coefficient of Variation of the Root Mean Square Error (CVRMSE)- Overall Monthly 1.38% 15 -- NMBE- Overall Hourly 0.01% ± 10% ± 5% CVRMSE- Overall Hourly 12.01% 30% 20% NMBE- Cooling Energy Monthly 1.33% CVRMSE- Cooling Energy Monthly 2.56% Digital Twin Calibration Calibration to well-known industry standards
  • 11. Case Study: Virtual Audits Energy Breakdown Analysis
  • 12. Case Study: Virtual Audits Energy Demand & Renewables Integration Analysis
  • 13. Case Study: Virtual Audits Energy Conservation Measures Analysis Savings % Capex Payback 10% $ 0.7 mil. 4.2 yrs 20% $ 2 mil. 3.8 yrs 30% $ 3.3 mil. 4.5 yrs 40% $ 5.3 mil. 5.7 yrs 50% $ 8.2 mil. 6.7 yrs Energy Conservation Measures are a mix of a) Retrocomissioning: operational changes b) Retrofits: involve capex c) Combination of ECMs can be simulated, e.g. Solar PV effect on heat reduction
  • 14. Virtual Audits: Live Real-time data analysis tool focused on energy performance improvement New launch! http://live.qi-square.com
  • 15. Case Study: Virtual AuditsLive Verification Measurement & Verification using actual data
  • 16. Thanks Looking for partners to digitize Energy Efficiency together Nilesh Jadhav nilesh@qisquare.sg http://www.qisquare.sg