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National WAP Evaluation: Single Family and Mobile Home Energy Impacts. Michael Blasnik M Blasnik & Associates Greg Dalhoff Dalhoff Associates, LLC David Carroll APPRISE. Presentation Overview. Purpose Measurement and Analysis Procedures Findings for Homes with Natural Gas Main Heat
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National WAP Evaluation: Single Family and Mobile Home Energy Impacts Michael Blasnik M Blasnik & Associates Greg Dalhoff Dalhoff Associates, LLC David Carroll APPRISE
Presentation Overview • Purpose • Measurement and Analysis Procedures • Findings for Homes with Natural Gas Main Heat • Findings for Homes with Electric Main Heat • Analysis – Next Steps • Findings for Homes with Fuel Oil Main Heat
Purpose • Energy Performance – Document energy savings and cost-effectiveness. • Program Performance – Foundation for documenting all program benefits and costs. • Diagnostic – Assessment of what works best under what conditions.
Primary Objective • What was the usage of the home prior to weatherization? • What services were delivered to the targeted housing unit and household? • What is the usage of the home after weatherization?
Study Scope • Primary Focus • Detailed analysis of Program Year 2008 • WX Program Year – 4/2008 to 3/2009 • State Program Year – 7/2008 to 6/2009 • Supplemental Information • Usage analysis only for Program Year 2007 • Preliminary Information • Usage analysis for clients served in the first half of Program Year 2009
Logistical Challenges • What clients were served by the program? • Collection of client account information from 51 grantees and 400 subgrantees for PY 2007, 2008, and 2009 clients • What services did those clients receive? • Collection of detailed information on service delivery for program year 2008 for about 19,000 clients • What is the energy usage of the home before and after weatherization? • Collection of usage data for 57,000 clients from 4/1/2006 through 3/31/2011.
Usage Data Requirements • PY 2008 Clients • Weatherized between 4/2008 and 6/2009 • Pre-weatherization usage = 12 months prior to weatherization (as early as 4/2007 through 3/2008) • Post-weatherization usage = 12 months after weatherization (as late as 7/2009 through 6/2010) • Data required for analysis of PY 2008 from April 2007 through June 2010 = 39 Months of Usage Data • PY 2007 Clients – Need data from 4/06 through 6/09 • PY 2009 Clients – Need data from 4/08 through 6/11
Usage Data Collection • Natural Gas Main Heat • Sample of 15,000 clients per program year • Total sample of 45,000 clients for PY 07, PY 08, and PY 09 • Requested data from 368 gas utilities for 45,000 clients • Received data from 71% of utilities for 30,000 clients (67%) • Natural Gas and Electric Main Heat • Sample of 19,000 clients per program year • Total sample of 57,000 clients for PY 07, PY 08, and PY 09 • Requested data from 984 electric suppliers for 57,000 clients • Received data from 74% of utilities for 37,000 clients (67%)
Analysis Challenges • Differences in Weather from Pre-Program Year to Post-Program Year • Use of PRISM to compare “Weather Normalized” consumption for the two periods • Other factors affecting low income households • Use of a Comparison Group • PY 2008 clients serve as a comparison group for PY 2007 analysis • PY 2009 clients serve as a comparison group for PY 2009 analysis • Attrition from incomplete data or inconsistent data • Use of ORNL model • Use of Fixed Effects regression model
Analysis Completeness • How does Weatherization affect the quality of the housing unit? • Indoor Air Quality Field Study • How does Weatherization affect clients? • Indoor Air Quality Field Study Occupant Survey • Program-Wide Occupant Survey • What is the overall benefit of the Program? • Estimation of NonEnergy Benefits
Policy Note • Homes with the highest preWX usage save the most • In 1981, the AVERAGE preWX gas usage was 1,500 therms • Statistics from the 2005 RECS • Low-income households in gas single family = 6.5 million • Use 1200 or more therms = 820,000 (12%) • Use 1600 or more therms = 240,000 (3%) • Projected savings for 2008 on preWX usage of 1,340 therms = 250 therms; on 1,500 therms = 300 therms
Next Steps – Impact Estimates • Other Periods - PY 2007 and PY 2009 • Other Models • ORNL – Reduces sample attrition • Fixed Effects Regression – Different analytic framework • Longer Term Analysis • PY 2007 – 3 years post program analysis (2008, 2009, 2010) • PY 2008 – 2 years post program analysis (2009, 2010) • PY 2009 – 2 years pre program analysis • 2008 to 2009 change (reported gross to net adjustment) • 2007 to 2008 change (potential gross to net adjustment)
Next Steps – Diagnostics • Factors Associated with Higher Savings • Pre-Program usage • Pre-Program housing unit conditions • Installed measures • Program factors • Audit procedures • Training investment • Quality control procedures
Next Steps – Cost Effectiveness • Document first year savings • Project savings over time based on measure life and price projections • Estimate net present value of savings • Compare to installation costs • Compare to total program costs
Fuel Oil Homes – Data Collection and Analysis Strategy • Sample agencies serving clients with fuel oil main heat • Select a sample of 76 treatment and 52 control clients • October 2010 – PreWX tests, meter homes • January 2011 – Weatherize homes • April 2011 – PostWX tests, retrieve equipment • Analysis – Estimate savings based on metered data
National WAP Energy ImpactsFuel Oil Heat Single FamilyWinter 2010/2011 Treatment