Advanced Power Strips (APS) Planning UES Measure Proposal Regional Technical Forum August 20, 2013

Presentation Outline Measure Overview Staff Highlighted Areas Presentation of Measure Documents – UES Analysis and Results – Research Plan RTF Staff Recommendations Proposed Decision 2

Measure Overview Review the Measure Properties section on the “Summary” tab of the proposed measure workbook.proposed measure workbook 3 Measure DevelopersBonneville and SBW Technical Subcommittee ReviewNo Research & Evaluation Core Group Review Yes; feedback received from research and evaluation group is included in final research plan. NotesA provisional measure for residential “smart power strips” expired in April, 2011.

Staff Highlighted Areas Measure lifetime – Need RTF to weigh in on appropriate lifetime for this measure (currently set at 10 years) Research plan sample size – Current sample size (185 sites) may be insufficient to reach 80/20 – Should we oversample to have a higher confidence in reaching 80/20 or use the current sample size and see what level of confidence and precision we get? 4

Measure UES Analysis and Results Review the following sections on the “Summary” tab of the proposed measure workbook:proposed measure workbook – Energy Savings Estimation Method, Parameters and Data Sources – Presentation tab (show savings, cost, and TRC B/C results table) 5

Measure Research Plan Review the following sections in the proposed research plan:proposed research plan – Sample Design – Collaboration Strategy – Analysis and Data Collection Plan – Budget (if available) 6

RTF Staff Recommendations RTF staff recommendation on the UES estimate: – Overall, savings methodology fine for planning UES measure. – 10-year lifetime may be unreasonable given that measure can be easily moved and removed; equipment changes over time 2-3 years may be more reasonable – UES estimate currently assumes no removal rate (e.g., due to dissatisfaction); staff suggests adding a non-zero rate of removal – Tier 2 IR savings estimate (321 kWh) could be over-stated given that the APS’s in the study recorded when device would have been shut off. This misses instances when the TV would have been turned back on; however, it would be difficult to estimate this effect. 7

RTF Staff Recommendations RTF staff recommendation on research plan: – The pre/post methodology is reasonable, given that a control group scenario would be practically difficult to implement. – Cautions on sample size: Current sample size of 185 to sample proposed scenarios (on slide 7). Invalid sites (see Section 4.2 of Research Plan) could require greater than 185 total metered installations. Current CV estimate (0.96) based on direct-install studies may be understated for self-installs; therefore greater than 185 sites may be needed to ensure 80/20 confidence and precision. 8

Decision “I _________ move that the RTF approve the UES measure Residential Advanced Power Strips to: Planning category; Active status; a sunset date of August 31, 2015; a measure lifetime of ___ years; and a research plan which includes a sample size of _____ sites.” 9

Additional Slides For Reference 10

UES – Tier 1 Master/peripheral load sensing Applications are assumed to be home entertainment or home office Weighted average UES for owner-installed – 61% home entertainment – 39% home office 11

12  “Typical” home office and home entertainment devices are selected – analyst assumptions, with saturation data from various sources  Power draw in Standby, Ready, and Active states is estimated for each device from various sources  Hours of use for each device in each state are estimated based on in-home metering studies and phone survey reports  Savings occur in master device off-hours State of peripheral during master off-hours is based on analyst assumptions UES – Tier 1 Master/peripheral (cont)

13  Planning UES is the average of field trials of Embertec IR-sensing APS  19 households in Australia – population skewed towards high income/high electronics ownership – Avg savings: 760 kWh/yr. – “Normalized” by govt agencies to 436 kWh/yr.  15 households in South Africa – similar device ownership to other developed countries – Avg savings: 420 kWh/yr.  19 households in Santa Cruz, CA – recruited from rowing club – Avg savings: 258 kWh/yr. UES – Tier 2 IR Sensing

UES – Tier 2 Motion Sensing Products are marketed for computer environments After set period like 30 minutes, power to controlled devices is shut off Greatest savings occur in monitor 14