Why Should We Care? Building Intelligent Solutions 2

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2 Why Should We Care? Building Intelligent Solutions 2

3 Responsible environmental leadership Building Intelligent Solutions 3

4 Responsible environmental leadership Setting targets for reducing energy consumption in our data centers, labs, and offices Connecting data centers directly to innovative renewable energy sources Setting a carbon price to internalize the external impact of our operations Setting targets for reducing air travel using Microsoft collaboration technology Signing long-term renewable power purchase agreements Charging the teams responsible for emissions from data centers, offices, labs, and air travel Controlling energy use in our offices with an enterprise-wide energy management technology program Investing capital in new renewable energy projects Optimizing the supply chain Increase timely and accurate data using emission-tracking technology Purchasing market RECs and carbon offsets with support from key global organizations such as the Gates Foundation, UN, World Bank, NRDC Establishing reduction goals for waste and water Increasing transparency through CDP reporting Building Intelligent Solutions 4

5 Responsible environmental leadership Setting targets for reducing energy consumption in our data centers, labs, and offices Connecting data centers directly to innovative renewable energy sources Setting a carbon price to internalize the external impact of our operations Setting targets for reducing air travel using Microsoft collaboration technology Signing long-term renewable power purchase agreements Charging the teams responsible for emissions from data centers, offices, labs, and air travel Controlling energy use in our offices with an enterprise-wide energy management technology program Investing capital in new renewable energy projects Optimizing the supply chain Increase timely and accurate data using emission-tracking technology Purchasing market RECs and carbon offsets with support from key global organizations such as the Gates Foundation, UN, World Bank, NRDC Establishing reduction goals for waste and water Increasing transparency through CDP reporting Building Intelligent Solutions 5

6 Worldwide presence

7 Puget Sound Campus Building Intelligent Solutions 7

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10 Connecting systems Building Intelligent Solutions 10

11 Energy-Smart Buildings Situation Puget Sound Pilot Smart Building Concept Building Intelligent Solutions 11

12 Energy Usage Alarm Management Example Fault Diagnosis: None 30,000 CFM Air Handler Excessive Static Alarm Static Alarm Static BAS Alarm: Low Temperature Indoor Temp: 61 F Heating Energy Cost /year: 2,130 $/year 30,300 $/year None None Risk Critical 28,200 $/year 1,322% Building Intelligent Solutions 1

13 Energy Usage Fault Detection Fault Diagnosis: OK Worn Outside Air Damper 30,000 CFM Air Handler Fault Analytics Fault Analytics Excessive Static BAS Alarm: None Indoor Temp: 71 F Energy Cost /year: 13,750 2,130 $/year None None Risk Critical 11,620 5,025 $/year 2, $/year 136% Building Intelligent Solutions 1

14 Energy Usage Fault Detection Fault Diagnosis: Worn Outside Air Damper 30,000 CFM Air Handler Excessive Fault Detection Fault Detection Static BAS Alarm: None Indoor Temp: 65 F Energy Cost /year: 24,400 2,130 $/year None None Risk Critical 13,750 22,270 $/year 11,620 1,045% $/year 1,147% Building Intelligent Solutions 1

15 Energy Usage Alarm Management Example Fault Diagnosis: Worn Outside Air Damper 30,000 CFM Air Handler Static Alarm Static BAS Alarm: None Low Temperature Fault Detection Fault Detection Indoor Temp: Excessive F Energy Cost /year: 2,130 $/year 24,294 30,300 $/year None None Risk Critical 28,200 22,175/year $/year 1,147% 1,322% Building Intelligent Solutions 1

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17 Simultaneous Heating and Cooling Fault FAULT RULE: When the heating stage is enabled and the damper position is greater than 40% for a 15 minute duration fault will trigger. Points Required for Fault Rule: Room temperature Heating stage Damper command Rule Syntax: =IF(trueforduration(quality({{@rgs64:<<BLDG>>.TU.<<T U_LVL>>._<<TU_UNIT>>.ROOMTEMP.Value}})!=192, ))&{{@rgs64:<<BLDG>>.TU.<<TU_LVL>TU_UNIT>>. HTG STG1.Value}} = 1) SAVINGS COMPONENT: Excess cooling load multiplied by calculated factor; savings = (ROOM TEMP - AHU DAT) x DMPR COMD x x Utility Rate. Building Intelligent Solutions 17

18 Architecture Building Intelligent Solutions 18

19 Broken Outside Air Dampers Leaking Chilled Water Valve Broken Gas Heater No Duct Static Reset Extraneous Scheduling No Discharge Temp Reset Building Intelligent Solutions 19

20 Before

21 Comparative results Periodic retro-commissioning Building Intelligent Solutions 21

22 Comparative results Building Intelligent Solutions 22

23 Comparative results Building Intelligent Solutions 23

24 Results Replaces 5-year manual retro-commissioning cycle Reduced Energy costs by >$2M $8.5M savings over three years, 11% reduction Building Intelligent Solutions 24

25 Roadmap: End-to-End Pilot Concludes Campus Deployment CMMS Integration Condition-Based Maintenance Plan Energy Signature Smart Grid Integration Dec 2011 March 12 Sept. 13 Beyond APP Development US Campus Deployment International Deployment Office 365 Integration Building Intelligent Solutions 25

26 Building Intelligent Solutions 26

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