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2. Services for Buildings Building Optimization Overview August 2013

3. Schneider Electric 3 - Buildings - August 2013 What’s keeping you up at night…? ●Owner-occupied ●Occupant complaints and productivity concerns ●Shortage of CapEx ●Increasing energy costs ●Ever stricter environmental rules ●Shortage of trained building engineers ●Difficult to implement improvements across portfolio of different building types and EMS vendors

4. Schneider Electric 4 - Buildings - August 2013 What’s keeping you up at night…? ●Commercial Office ●Asset Value ●Tenant complaints ●Increasing energy costs ●Ever stricter environmental rules ●Shortage of trained building engineers ●Difficult to implement improvements across portfolio of different building types and EMS vendors ●Minimal available CapEx ●Churn in portfolio ownership

5. Schneider Electric 5 - Buildings - August 2013 What’s keeping you up at night…? ●Education ●Teacher and staff comfort complaints ●Minimal available budget ●Increasing energy costs ●Ever stricter environmental rules ●Building operators often not trained (i.e. janitor, secretary) ●Difficult to implement improvements across campuses of different building types and EMS vendors

6. Schneider Electric 6 - Buildings - August 2013 The solution: Building Optimization Advanced, predictive energy management software to optimize and control HVAC operations and reduce energy costs for commercial buildings How: ●Software continuously monitors weather data, energy prices, and demand response (DR) events ●Makes small changes in HVAC operations that result in large energy savings without impacting comfort

7. Schneider Electric 7 - Buildings - August 2013 How Building Optimization works ●Full optimization, full savings ●Using the thermal model, thousands of alternative operating plans are produced for each operating day ●The plan is selected based on your prioritized objectives: cost, comfort, or consumption, and incorporates information on predicted and actual site conditions including weather, price signals, and demand response signals ●Monitors and re-optimizes every 10 to 45 minutes thereafter

8. Schneider Electric 8 - Buildings - August 2013 Service Positioning ●Optimized operation 24/7 ●Dynamic ●Adaptive, self-learning ●Grid-aware; an extension of the SmartGrid ●Maximize ROI of the asset & future EE investments ●Improves efficiency of local staff by automating actions Optimization ●Detection of equipment faults 24/7 ●Assess energy, comfort, & maintenance impact ●Reports and to-do lists ●ROI to prioritize lists ●Improves efficiency of local staff via tasking Analytics Identifies anomalies to fix Automated, optimized energy management BMS Service Traditional service provider Degree of Intelligence Competitive Uniqueness Commissioning ●ECM Implementation ●Visualization of data ●Single point-in-time commissioning ●Static reports Manual identification of ECMS ●Manual Tuning ●Single Point-in-Time Optimization ●End-to-End system checks

9. Schneider Electric 9 - Buildings - August 2013 System optimization model ●Uses real-time weather forecast, tariff, and demand response events ●Leverages knowledge of building’s thermal envelope ●Considers energy consumption and protects occupants’ comfort ●Changes BMS set points and schedules through an intelligent, comfort- oriented supervisory control engine ●Customer can override at any time Weather Tariffs Thermal Model

10. Schneider Electric 10 - Buildings - August 2013 System architecture Cloud-based intelligence Secure data transfer Vendor agnostic Accessible anywhere Supported by experts

11. Schneider Electric 11 - Buildings - August 2013 Implementation process Install, Integrate 4 Hours onsite On-site server connected to BMS and Internet Learning Mode 4 Weeks Machine learning produces thermal model of building Configure Remotely 4 Days Configure BO to integrate with BMS, weather & tariffs Optimization 3 to 5 Weeks Optimization software is active Timeline Make Ready (reference Technical Implementation Guide) As required by BMS, enable BACNet communication for required points. Run power and network cabling on-site, install and program any required meters, gateways and sensors, perform any required BMS software upgrades.

12. Schneider Electric 12 - Buildings - August 2013 Making a good system better Building Management System ●Initially commissioned to maintain comfort ●Requires continual re-tuning and operating schedule updates ●Focused on set points for temperature, pressure, etc. ●Alarms generated based on non- compliance with set points ●May lack on-site expertise Building Management System + Building Optimization ●Learning by listening - automatically learns actual building performance ●Continually learns and adapts to changes ●Maintains occupant comfort while reducing energy expense ●Building issues uncovered and diagnosed ●Automated software backed by experts assuring performance; providing guidance, 24/7/365 Continuous, predictive, automatic Optimized for fixed point in time

13. Schneider Electric 13 - Buildings - August 2013 Centralized expert support Transparent results Intelligent automation Automated HVAC energy optimization and demand response implemented quickly & cost effectively Centralized system monitoring and evaluation to optimize operations Advanced M&V methods and clarity delivers real-time results you can trust Reduce total building energy use by 5-8%, which is up to 25% of HVAC energy

14. Schneider Electric 14 - Buildings - August 2013 Increase your building’s rating LEED EB PointsEnergy Star For average buildings… % Energy Reduction Energy Star Point Energy & Atmosphere: -Optimize energy performance (5) -Existing building commissioning (6) -Performance measurement (1) -Emissions reduction reporting (1) Innovation in Operations (2) Indoor Environmental Quality: -AQ best management practice (2) -Occupant comfort-thermal comfort monitoring (1) Regional Priority Credits: -Specific credit (2) Up to 8 Energy Star points Up to 20 LEED EB points

15. Schneider Electric 15 - Buildings - August 2013 Why Building Optimization? ●Reduces total building energy by 5% to 8% ●10% to 25% of HVAC energy use ●Control plus reports and graphs ●Positive ROI in months ●Lowers carbon footprint ●Increases value of portfolio ●Smart grid ready ●You don’t pay unless there are results!

16. Schneider Electric 16 - Buildings - August 2013 Case Study – Iconic US Class A Office THE CHALLENGE ●Automate reduced energy consumption ●One of largest Gold LEED-EB buildings in US ●Top notch in-house engineering staff ●Very risk adverse operations staff “Any reduction in energy must NOT impact tenant comfort or come at the expense of increased attention and efforts from the building engineers.” - Customer THE RESULT ●Saved over $1M (€745K) in utility costs in first two years ●Reduced CO 2 footprint by 440 tons ●Saving $3 (€2.25) in energy for every $1 (€.75) spent

17. Schneider Electric 17 - Buildings - August 2013 Case Study – US Electric Utility Customer THE CHALLENGE ●Reduce energy consumption and peak- power demand response (DR) ●Office building (270,000 ft 2 ; 25,084m 2 ) located in extreme desert climate ●Average high temperature range: 101 o to 104 o F; 110 o F (38 o -40 o C; 43 o C) during the summer A high level of IT security and maintain- ing occupant comfort with 74 o -75 o F (23 o C- 24 o C) internal temper- ature were achieved throughout the optim- ization and demand response events. THE RESULT ● Up to 20% daily reduction in total HVAC energy use ● Projected annual energy savings of 449,851 kWh or $45,000 (€33,790) ● DR savings: 13.7% of chiller load; summer- time load shed is expected to reach 12% to 15%

18. Schneider Electric 18 - Buildings - August 2013 Next steps… 1.aaa 2.bbb 3.ccc

19. Schneider Electric 19 - Buildings - August 2013 Technical system architecture Comfort Modeling Demand- Response Management Building- Wide HVAC Control Infrastructure Building Thermal Modeling Building Optimization Reporting Monitoring M&V Email & SMS Status Alerts Sensor Feedback Optimal Operating Strategies Utility Rates Demand Charges DR Events BMS Supervisory Control And Communication Platform Only critical points mapped to Building Optimization comm device, stores last set points as fail-safe if cloud connection lost Experts monitor/assess HVAC system; provide guidance & additional system tuning; can assist with DR event participation Building model incorporates utility rates & weather to determine ideal set points, recalculates every 15-60 min. Secure Connection Weather Forecast