1

Refrigerator Decommissioning: Next

Steps for Measure Update

March 18th, 2014

2

Measure Update Research Priorities• Staff, with subcommittee feedback, is researching if

secondary market effects can be estimated using existing data.

• Staff to assess compliance with guidelines as a UES measure.

• Staff, with subcommittee feedback, will update measure parameters as necessary using latest research.

3

Proposed Timeline (Communicated to Subcommittee):• March 14th - Subcommittee reconvenes to understand existing

sources of data. Recommend path forward (Staff makes all necessary revisions to the measure)

• Mid April - Subcommittee meets to review results of staff

work. (Further subcommittee meetings on an as-needed basis. The subcommittee may also meet between March and April if required or if there is no need to wait further.

• May RTF meeting: Presentation to the RTF; aim to get an RTF decision.

• June RTF meeting (If Required): Second presentation to the RTF if necessary.

4

New Refrigerator Decommissioning Studies Considered:

Report State Evaluator Year

PacificPower: See Ya Later, Refrigerator Evaluation Report Idaho Cadmus 2011-12

PacificPower: See Ya Later, Refrigerator Evaluation Report Washington Cadmus 2011-12

ARPs are RAD: How to Incorporate Environmental Benefits from Appliance Recycling Programs into Cost-Effectiveness Calculations

California IEPEC Paper (Cadmus) 2013

Appliance Recycling Program Process Evaluation and Market Characterization

California SCE & PGE 2013

Appliance Recycling Program Retailer Trial Final Report California Innovologie 2013

PSE Refrigerator Decommissioning Washington KEMA 2013

5

March 14th Subcommittee Meeting Update and Next Steps• Subcommittee agrees with staff proposed process

to update the measure.

• The next subcommittee meeting will primarily focus on determining the “brother-in-law” factor.• Staff to prepare a proposal for this factor in advance of

the meeting.

• Other measure parameters will be updated using similar methodology, latest regional datasets.