OCCUPANCY TRACKING: Your Secret Source of Savings

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1 OCCUPANCY TRACKING: Your Secret Source of Savings

2 Drivers of Smart Building Transformation Energy Mandates Efficiency Cost Savings 30% ($60B of $200B) US Energy wastage on C&I Buildings LED Transition, Automated Controls (e.g CA Title24) 24M/200M Commercial, Multi- Family Buildings in US, Europe, China Indoor Environment Quality Comfort and Productivity $9B to $14B Economic Savings for 12M to 16M employees Internet of Things in Buildings Better sensors, faster communications, open protocols, improved control and analytics $55B Building Energy Management Systems by 2024 (Navigant 2016) Source of Data: Navigant Research 2

3 Feedback Solutions: Real-Time Occupancy Solutions Control strategy enables building facility and energy managers to reduce energy consumption by using real-time occupancy data to control fan speeds to match ventilation requirements Understanding space utilization based on actual occupancy drives growth and better space planning 3

4 Benefits of Real-time Occupancy Data Solutions $ $ Reduce energy consumption Lower maintenance costs Lower utility bills Improve occupant comfort Improve space planning 4

5 How It Works: Components of a Real-Time Occupancy Solution 5

6 Types of Occupancy Sensors Thermal Video CO 2 Occupancy Data Measures number of people in any space Measures number of people in any space Infers number of people from CO2 measurements Accuracy >95%. 90%. 95% Not very accurate Identity Protection Non-intrusive Privacy concerns Non-intrusive Configuration and Calibration Once configured, no need to reconfigure MTBF>25 years Difficult to configure May require recalibration MTBF varies Requires frequent recalibration or replacement. 6

7 Thermal Imaging Sensors vs. CO2 Sensors Fan reacts to change in true occupancy CO2 value does not change in real-time and does not reflect accurate occupancy Thermal Imaging-based Occupancy Data Fan speed CO2-based Occupancy Data 7

8 Case Study: University of Toronto* Realizes 40% Energy Savings University of Toronto s* ventilation systems deliver heating and cooling based on maximum occupancy levels even when actual occupancy is much lower resulting in overused fans, occupant discomfort, and wasted energy. Solution Feedback Solutions installed thermal imaging occupancy counters over classroom, lecture hall, library and other entrances allowing the university to: Detect real-time occupancy Automatically adjust fan speeds to provide proper ventilation for true occupancy Business Impact The University of Toronto* reduced its energy use in two buildings by 40% for a savings of about $1.5M a year and a total return on investment of less than two years. 8

9 Sysconverge Inc*: Modelling, BAS and Occupancy Verification Solutions Occupancy sensor solutions Model expected ROIs Verify modelled ROIs with analytic information 9

10 Energy Modeling Base energy model (DOE 2 building energy and cost analysis) Existing BAS trends Existing utilities invoices New base model Model energy saving initiatives to calculate return on investment (ROI) such as: Real-time occupancy and ventilation Real-time occupancy and lighting Real-time occupancy and thermal comfort Other metrics related to occupancy Model analysis report 10

11 Measuring Return on Investment (ROI) Direct energy savings vs implementation costs Productivity gains Optimized thermal comfort Optimized outdoor air Pre-tempering room to occupied setpoint Verify room usage efficiencies/deficiencies Decreased maintenance time/cost Increased maintenance response time Simple real-life productivity example 11

12 Validation through Analytics Validate energy model improvements and ROIs No guess work Accurate measurements of actual energy use and savings derived from investments made Recognize areas restricting modelled improvements/savings Recognize other areas of inefficiencies to acquire further ROIs Increase maintenance efficiencies Reduce construction/maintenance down time Improve system performance and reliability 12

13 Transformation To Smart Buildings= Amazing Experiences Sustainability and Efficiency Comfort and Productivity Personalization and Mobility 13

14 Intel s Vision for Smart Building Solutions Networked. Intelligent. Adaptable Enhances efficiency and Occupant Experiences HVAC Fire & Life Security A Smart Building Management Solution (BMS) shares data intelligence across Building Automation Systems (BAS) and serves actionable insights and controls applications for facilities managers Water Elevator Top Industry Challenges: Lack of interoperability across BAS leading to high deployment costs Concerns of security breaches from integration into IT networks Lighting Refrigeration Analytics Plug Load Intel Value Proposition: Secure, open, manageable, intelligent Intel IoT Platform building blocks that enable interoperable choice of ecosystems 14

15 Intel IoT Technologies and Platforms Scalable building blocks with security built-in to enable integration of Operations Technology (OT) into Information Technology (IT) systems S Systems Gateway Automation Networked Data Center Analytics Silicon, Software And Security Scalability 15

16 Intel IoT Gateways for Smart Building Solutions See solutionsdirectory.intel.com for full list NIO 100 AIOT-DRM SYS-E100 UTX-3115 Edge Gateway 5000 IoT-ML100G-30 IP Translation/ Data Aggregator Data Insights and Controls Edge Analytics Low Scalable capabilities (compute, communications, connectivity) High 16

17 Q & A What are your questions regarding implementing an occupancy tracking solution? Contact info: chandan@feedbacksolutions.ca - feedbacksolutions.ca gustavo.reyna@intel.com - intel.com yashesh.a.shroff@intel.com - intel.com Ian.Ho@sysconverge.com - sysconverge.com 17

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