Measuring What Matters –Looking ahead, what data must we have to succeed?

1. Challenge Measuring What Matters –Looking ahead, what data must we have to succeed? NEET Workgroup #1 Report Co-Chairs: Massoud Jourabch and Mary Smith Executive Committee Meeting, Oct. 3, 2008

2. Defining “data” for EE resource Process • Forecasting, conservation potential assessment, acquisition goals • Tracking market trends for this decentralized resource • Determining interventions required: planning, design and development of programs and services • Implementation at lots of ‘levels’, by many entities • Performance feedback, evaluation and optimization

3. Types of data Research and Areas of Focus • Customer, Building and Equipment Characteristics and ‘appliance’ saturations • Products and Services • Market characterization • Evaluation

4. Investigate needs Barriers to be addressed • Who uses what types of data; • What data – level of detail, for variety of purposes and reporting needs • Where – is it from?; to what areas (geographic, weather zone) is it valid? • When – how frequently • Why - • and How Much?(is enough, how much $)

5. “Speed bumps” Barriers to be addressed • Regional and Local • States, utility area, etc.… • West Coast, National • ‘Energy’ vs ‘Electric Energy’ • Timing and Pace of change: with what frequency balanced with costs and level of accuracy

6. Recommendations 1. Entity to plan and coordinate data acquisition for region • Develop and coordinate implementation • Prioritize need • Appropriate ways • Statistical validity • Regional “endorsement” to set up necessary data to develop a comprehensive energy use picture for the four-state region • Oversee clearinghouse operation

7. Recommendations 2. Coordinate research efforts • Definitions, timing, content, sample design, metrics. • Cost share principles

8. Recommendations 3. Establish Data Clearinghouse • Survey forms, data definition, methodology • Economic, load and fuel price forecasts • Library: databases, reports, evaluations, lessons learned – problems and successes • Baselines in market • Measure data, incremental costs • Savings estimates, energy and non-energy • Accessible, “use-able” information for EE providers

9. Recommendations 4. Routine regional data collection with committed funding and resources • Building characteristics studies every 5 yrs • Cost data every 5 yrs; Assessments for new/emerging technologies annually • Evaluation: Coordinated and supplemented with local efforts • Market research for effective targeting

10. Next Steps Prioritize short-term and long-term recommendations • Review draft recommendations across workgroups • Survey NEET participants on these draft recommendations • Further details for requirements, functionality, scope and governance of “entity” and/or “clearinghouse” • Greater detail on funding requirements • Degree to which existing organizations – specifically RTF, NEEA, NPPC- may take on new roles to disseminate data/info • Explore integrated role of States data needs – State programs, incentives, regulations, codes