ID-O Energy Dashboard Engaging Occupants to Save Energy

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ID-O Energy Dashboard Engaging Occupants to Save Energy «dashboard-controllers» that enable building occupants to control energy-using components and systems with expert feedback for saving energy

1 ID-O Energy Dashboard Engaging Occupants to Save Energy «dashboard-controllers» that enable building occupants to control energy-using components and systems with expert feedback for saving energy and increased occupant comfort Azizan Aziz* Vivian Loftness*, Bertrand Lasternas*, Ray Yun*, Leah Mo*, Ruchie Kothari*, Jie Zhao* Peter Scupelli [Design], Anthony Rowe [ECE] *Center for Building Performance and Diagnostics Carnegie Mellon University 1/15/2014 1

2 EEBHUB Year 3: Energy Dashboards for Plug Loads Lighting, Thermal, Ventilation for Future Years Plug Load Best Practices Guide Managing Your Office Equipment Plug Load : NBI/Pier /15/2014 2

3 FEATURES (1 st generation Dashboard) feedback control* control* recommendation

4 my desktop! whoops, on overnight FEEDBACK.. selecting the format that communicates to you

5 FEEDBACK.. looking a monthly consumption I left this much on during vacation?

6 FEEDBACK.. checking out the competition I use double the average?

7 RECOMMENDATION generated by expert analysis of use

8 CONTROL. on-line, item by item or as a group wow look what I saved

9 Preliminary Study Government research lab (8) University office suite (7) 1 st generation dashboard (2012) University graduate lab (6) For a preliminary study, we provided our system to one government research lab (n=8), one university office suite (n=7), one university graduate research lab (n=6). We investigated the impact on Energy Dashaboard on energy savings.

10 Preliminary Findings (kwh) 350 kwh 300 kwh 250 kwh 200 kwh 150 kwh 100 kwh 50 kwh Energy Savings (Overall) 76 kwh 89 kwh 63 kwh 82 kwh 168 kwh 155 kwh 10 % Saving Weekend Night Day 0 kwh 2 Weeks Before Intervention 2 Weeks After Intervention The Energy Dashboard with monitoring, advice, comparisons and controls yielded 10% energy savings overall. (Government lab: 5% increase! With reductions in the University office suite: 30%, University lab: 31.5%)

11 Best Preliminary Findings (kwh) University Office Suite ,653 Wh 8,731 Wh 30 % Saving 3,033 Wh 1,837 Wh 54% 79% Weekend Night 20 42,225 Wh 35,734 Wh Day Weeks Before Intervention 2 Weeks After Intervention In the University Office Suite, occupants turned off their electronics more often at night and on weekends after the dashboard intervention.

12 2 nd Generation Dashboard 13

13 Area Chart. Week view with hourly intervals Most useful and engaging

14 Behavior Effectiveness Percent effectiveness for your behavior towards energy savings per device

15 CONTROL. on-line, item by item or as a group

16 Calendar Scheduled control

18 Field Study Feedback only (n=20) Feedback + Control (n=20) Feedback + Control + Automation (n=20) Large office building (80) Eighty employees were divided into four groups. The first group is the control group, the three differently designed interface were assigned to the rest of the groups.

Sun 0:00am Sun 4:00am Sun 8:00am Sun 12:00pm Sun 4:00pm Sun 8:00pm Mon 0:00am Mon 4:00am Mon 8:00am Mon 12:00pm Mon 4:00pm Mon 8:00pm Tue 0:00am Tue 4:00am Tue 8:00am Tue 12:00pm Tue 4:00pm Tue

19 Sun 0:00am Sun 4:00am Sun 8:00am Sun 12:00pm Sun 4:00pm Sun 8:00pm Mon 0:00am Mon 4:00am Mon 8:00am Mon 12:00pm Mon 4:00pm Mon 8:00pm Tue 0:00am Tue 4:00am Tue 8:00am Tue 12:00pm Tue 4:00pm Tue 8:00pm Wed 0:00am Wed 4:00am Wed 8:00am Wed 12:00pm Wed 4:00pm Wed 8:00pm Thu 0:00am Thu 4:00am Thu 8:00am Thu 12:00pm Thu 4:00pm Thu 8:00pm Fri 0:00am Fri 4:00am Fri 8:00am Fri 12:00pm Fri 4:00pm Fri 8:00pm Sat 0:00am Sat 4:00am Sat 8:00am Sat 12:00pm Sat 4:00pm Sat 8:00pm kwh Preliminary Findings 0.09 Group A (Nothing) Before Energy Dashboard After

20 Sun 0:00am Sun 4:00am Sun 8:00am Sun 12:00pm Sun 4:00pm Sun 8:00pm Mon 0:00am Mon 4:00am Mon 8:00am Mon 12:00pm Mon 4:00pm Mon 8:00pm Tue 0:00am Tue 4:00am Tue 8:00am Tue 12:00pm Tue 4:00pm Tue 8:00pm Wed 0:00am Wed 4:00am Wed 8:00am Wed 12:00pm Wed 4:00pm Wed 8:00pm Thu 0:00am Thu 4:00am Thu 8:00am Thu 12:00pm Thu 4:00pm Thu 8:00pm Fri 0:00am Fri 4:00am Fri 8:00am Fri 12:00pm Fri 4:00pm Fri 8:00pm Sat 0:00am Sat 4:00am Sat 8:00am Sat 12:00pm Sat 4:00pm Sat 8:00pm kwh Preliminary Findings 0.09 Group B (Feedback only) Before Energy Dashboard After

21 Sun 0:00am Sun 4:00am Sun 8:00am Sun 12:00pm Sun 4:00pm Sun 8:00pm Mon 0:00am Mon 4:00am Mon 8:00am Mon 12:00pm Mon 4:00pm Mon 8:00pm Tue 0:00am Tue 4:00am Tue 8:00am Tue 12:00pm Tue 4:00pm Tue 8:00pm Wed 0:00am Wed 4:00am Wed 8:00am Wed 12:00pm Wed 4:00pm Wed 8:00pm Thu 0:00am Thu 4:00am Thu 8:00am Thu 12:00pm Thu 4:00pm Thu 8:00pm Fri 0:00am Fri 4:00am Fri 8:00am Fri 12:00pm Fri 4:00pm Fri 8:00pm Sat 0:00am Sat 4:00am Sat 8:00am Sat 12:00pm Sat 4:00pm Sat 8:00pm kwh Preliminary Findings 0.09 Group C (Feedback + Control) Before Energy Dashboard After

22 Sun 0:00am Sun 4:00am Sun 8:00am Sun 12:00pm Sun 4:00pm Sun 8:00pm Mon 0:00am Mon 4:00am Mon 8:00am Mon 12:00pm Mon 4:00pm Mon 8:00pm Tue 0:00am Tue 4:00am Tue 8:00am Tue 12:00pm Tue 4:00pm Tue 8:00pm Wed 0:00am Wed 4:00am Wed 8:00am Wed 12:00pm Wed 4:00pm Wed 8:00pm Thu 0:00am Thu 4:00am Thu 8:00am Thu 12:00pm Thu 4:00pm Thu 8:00pm Fri 0:00am Fri 4:00am Fri 8:00am Fri 12:00pm Fri 4:00pm Fri 8:00pm Sat 0:00am Sat 4:00am Sat 8:00am Sat 12:00pm Sat 4:00pm Sat 8:00pm kwh Preliminary Findings 0.09 Group D (Feedback + Control + Calendar) Before Energy Dashboard After

23 Preliminary Findings (kwh) 7 6 Group A (Nothing) 4.9 % Reduction Weekend Night Day Before After

24 Preliminary Findings (kwh) 7 6 Group B (Feedback only) 14% Reduction % 17% 11% Weekend Night Day 0 Before After

25 Preliminary Findings (kwh) 7 6 Group C (Feedback + Control) 23% Reduction % 29% 11% Weekend Night Day 0 Before After

26 Preliminary Findings (kwh) 7 6 Group D (Feedback + Control + Automation) 42% Reduction % 60% 19% Weekend Night Day 0 Before After

27 Dow Jones Reprints: This copy is for your personal, non- commercial use only. To order presentation- ready copies for distribution to your colleagues, clients or customers, use the Order Reprints tool at the bottom of any article or visit See a sample reprint in PDF format. Order a reprint of this article now JOURNAL REPORTS September 22, 2013, 5:17 p.m. ET Energy Dashboards Enter the Office Cubicle Studies Give Workers Tools to Monitor and Reduce Their Individual Energy Use By LISA WARD Energy dashboards tools that show consumers how much power they are using, and how to use less are becoming more common in households. Journal Report Insights from The Experts Read more at WSJ.com/Energy More in Unleashing Innovation: Energy Six Myths About Renewable Energy Unlocking an Oil Bounty in California Why China Is a Problem for Coal Utilities Connect With Social Media Can the same technology help reduce energy use in office buildings? That's the question two separate pilot projects are hoping to answer. Researchers from Carnegie Mellon University and the National Renewable Energy Laboratory are giving so-called energy dashboards to dozens of office workers to show them, via charts and graphics, how much energy they are using at any particular moment. Based on what they see, and the dashboard's feedback, workers can then make smart decisions about how to cut back on their energy usage. If more workers took responsibility for their own power usage, the savings could be huge. Commercial buildings account for 36% of all energy used in the U.S., according to Department of Energy. Experts believe a significant portion of that is waste; many buildings run close to full power on nights and weekends. The dashboard used in the Carnegie Mellon study charts individual energy use by device over time. TKtk So far, the indications are promising. The Carnegie Mellon team found that two out of three sites in an initial small-scale study saved about 30% of energy compared with a baseline. The third site, a government research lab, showed no real savings because the lab's policy is to keep its computers running at all times. The amount of energy employees personally have control over may grow even more in the future. Plug loads the energy used by anything plugged into an electric socket represent about 10% to 30% of consumption in an average office building, says Nicholas Holt, a director at the 28

28 WHAT S NEXT? now we need to tackle the bigger energy users: heating, cooling, lighting, ventilation... for energy conservation and increased occupant comfort

29 Challenges IEA Annex 66: Definition Focus and how Simulation OB physically of Occupant and quantitatively Behavior in affect Buildings on building performance Page 9 1/15/

30 Thank You! 1/15/

31 Back-up slides 1/15/

32 Individual Actions Diagnostic : Energy Saving Parameters had deficient settings, energy saver was working for the monitor but not the for CPU. The user believed her computer was in sleep mode as her monitor was in sleep mode. Recommendation : Optimization of the CPU Energy Management Settings. Savings : 70 % Energy Savings 1/15/

33 Individual Actions Diagnostic : This old computer was used as a server and needed to stay active all the time. This obsolete computer was using too much energy. Recommendation : Change the computer with Top 10 Energy saving computer Savings : 60 % Energy Savings 1/15/

34 Refrigerator Coffee Maker Water Dispenser Microwave Toaster Printer Conf. Phone TV [25 common appliances]

35 Appliance Energy Consumption

37 Water Dispenser

38 Water Dispenser

39 Water Cooler

TRACKER DASHBOARD USER GUIDE. Version 1.0

TRACKER DASHBOARD USER GUIDE. Version 1.0 Version 1.0 DOCUMENT CONTROL DOCUMENT CONTROL Document Tracker Dashboard User Guide Current Version Version Date Issued Pages Reason For Issue 1.0 Nov 2013 All First issue Previous Versions Version Date