1 / 26

Smart Power Strips in Commercial Office Applications

Smart Power Strips in Commercial Office Applications. RTF October 4, 2011. Goal Today. To update UES estimates and move provisionally deemed smart strip measure to active status for commercial office applications Using updated savings from BPA engineering research. Background.

anne
Download Presentation

Smart Power Strips in Commercial Office Applications

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Smart Power Strips in Commercial Office Applications RTF October 4, 2011

  2. Goal Today • To update UES estimates and move provisionally deemed smart strip measure to active status for commercial office applications • Using updated savings from BPA engineering research

  3. Background • RTF Provisionally deemed smart power strips in a commercial office in March 2010 • 100 kWh • $20/unit • 4 year Measure Life • RTF approved Research Plan • 50 unit sample • 2 week pre/post metering • Collect information on equipment plugged in and settings

  4. Smart Power Strips • Resemble traditional power strips, but have outlets with different functionalities. • Control outlet and controlled outlets • Some outlets always remain on • Others controlled by load sensed • Load Sensor • Type of smart strip being proposed today • Occupancy Sensor • Currently researching this measure

  5. Smart Power Strips • Load Sensor • When a control device is turned off or enters sleep mode, the Smart Power Strip cuts power to the controlled peripherals: items such as printers, heaters, speakers. • Occupancy Sensor • The occupancy sensor cuts power to the controlled peripherals: items such as printers, heaters, speakers. • Timer • Timer controls when power is shut off to controlled peripherals

  6. Types of Smart Power Strips

  7. BPA Metering Study • Details about the research activities • Load Sensor device was installed • ‘Current Sensing’ Smart Power Strip • A total of 48 smart strips installed • Installed at Ross Complex, Vancouver, WA • Approximately 3 weeks baseline and post metering time during April/May 2011 • Kill-A-Watt Meters used for data collection

  8. Example of Results

  9. Results Summary • Savings details • Sample size = 45 cubicles/offices • Average Savings per year per cubicle = 132 KWh • Includes removal of 4 units during research period • Median value = 80 KWh • 80% Confidence Interval = 36.34

  10. Results – Frequency Distribution Printer 1057 kwh savings

  11. Results – # of Devices Plugged In * Number of devices plugged in is in addition to computer and monitor

  12. Measure Cost and Measure Life • Cost – Load Sensor Device • $24.99 per unit, Non-Volume, Retail • Labor cost - $3.50 (10 Minutes per unit at $20/hour for installation) • Measure Life • 4 years

  13. Cost Effectiveness

  14. Measure Workbook Results

  15. Measure Workbook Results

  16. More Baseline Data Considered Idaho Design Lab Monitored 4 Office Spaces in Boise   - 205 cubicles total Metering included common area plug loads(non-cubicle)  Attempted to remove these loads using CEC PEIR study by ECOS   - Result: 34 to 40 Watts/cube Inherent error introduced trying to clean data

  17. Measure Checklist

  18. Measure Requirements • Must be installed in commercial offices occupied a minimum of 50 hour per week • Must be at least 1 device plugged into strip, in addition to desktop/laptop/monitor • Okay to use with Network PC management as long as more than desktop/monitor plugged in

  19. Continued Research • Follow up with metered units periodically to check if still installed • BPA to conduct metering on additional 24 work spaces with same metering process • Study using occupancy sensor devices • IDL also researching occupancy sensor devices

  20. Motion for Approval • Motion to approve UES estimate to active status for smart power strips with a load sensing device in commercial office applications, with a sunset date of September 2013 (2 years)

  21. Extra Slides Other baseline data

  22. Idaho Integrated Design Lab Another Baseline Considered: • IDL Monitored four sites in Boise • Office occupancy • 8 am – 5 pm Monday - Friday • 34,182 Square feet (1,500 to 17,088 range ) • Metered whole floor plug loads • 737 total plug loads (84 in commons areas) • 205 cubicles (5.3 average plug loads each)

  23. Idaho Integrated Design Lab • Metered data shown in average hourly kW • 45.76 calculated watts per cubicle • Watts per cubicle weighted average 24/7 • Commons area plug loads included • Using CEC data to subtract commons equipment • 40.06 average watts per cube high estimate • 34.38 average watts per cube low

  24. Idaho Data Adjusted with CEC Data CEC PIER Study by ECOS • Metered select office equipment for 2 weeks • 25 offices in Sonoma and San Diego • 8 - 5 Monday – Friday Office Occupancy • Legal, accounting, tax, engineering, architectural, computer design • Metered (Watts Up Pro ES) • 451 discrete pieces of equipment • 50 separate types of equipment

  25. Idaho Data Adjusted with CEC Data CEC PIER Study by ECOS • Meter logged power, current, voltage, and power factor - real‐time time stamps per minute • Determined equipment states and percent time • Active, Idle, Sleep, Standby, Disconnected • Calculated annual kWh per mode • Calculated average watt load per mode

  26. CEC Data Questions Annual kWh sum by totaling Ave. kWh/mode Sum of Ave. Watt/mode x % time not equal Some equip annual kWh/ 8,760 exceeds average watts per cubicle No count of Idaho laser and inkjet to attribute Watts according to CEC PIER data

More Related