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395 Pages·2012·10.81 MB·English
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Behavioral Perspectives on Home Energy Audits: The Role of Auditors, Labels, Reports, and Audit Tools on Homeowner Decision-Making Aaron Ingle, Mithra Moezzi, Loren Lutzenhiser, and Zac Hathaway Portland State University Susan Lutzenhiser, Joe Van Clock, and Jane Peters Research Into Action Rebecca Smith and David Heslam Earth Advantage Institute Rick Diamond Lawrence Berkeley National Laboratory July 2012 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or The Regents of the University of California. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof or The Regents of the University of California. This work was supported by the Assistant Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. Acknowledgements The authors would like to thank Joan Glickman, Christa McDermott, and David Lee at the U.S. Department of Energy; Oradoña Landgrebe and Andrew Gibb at Seattle City Light; Sara Stiltner at the City of Seattle; Ammen Jordan at Home Performance Collaborative; Kristen Nice and Dave Henson at Puget Sound Energy; and Amber Johnson, Debi Elliot, and Tara Horn of Portland State University. We would also like to thank Tom Sanquist at Pacific Northwest National Laboratory and Alan Sanstad and Evan Mills at the Lawrence Berkeley National Laboratory for providing thoughtful review of a draft of this report. Behavioral Perspectives on Home Energy Audits Page 2 Contents List of Tables ................................................................................................................................................. 4 List of Figures ................................................................................................................................................ 5 Acronyms and Abbreviations ....................................................................................................................... 8 Executive Summary ...................................................................................................................................... 9 1. Introduction and Background ............................................................................................................. 21 2. Approach ............................................................................................................................................. 31 3. Industry Actors’ Opinions and Perceptions—Auditors & Realtors ..................................................... 47 4. Homeowner Decision-Making Related to Energy Upgrades, Audit Reports, and Labels ................... 71 5. Post-Retrofit Assessment and Retrofit Quality Verification ............................................................. 118 6. Home Energy Audit and Assessment Modeling Tool Comparison ................................................... 125 7. Conclusions ....................................................................................................................................... 148 References ................................................................................................................................................ 159 Appendix A: EPS Scorecard....................................................................................................................... 163 Appendix B: EPS Energy Analysis Report .................................................................................................. 165 Appendix C: Sample Home Energy Score Report ..................................................................................... 179 Appendix D: Auditor Interview Guide ...................................................................................................... 182 Appendix E: Auditor Interviews Results – Presentation to Team, 3/2/11 ............................................... 186 Appendix F: Real Estate Professionals Interview Guide ........................................................................... 191 Appendix G: Real Estate Professionals Interviews Presentation 8/16/11 ............................................... 195 Appendix H: Homeowner Pre-Audit Interview Guide .............................................................................. 200 Appendix I: Homeowner Pre-Audit Interview Closed-Ended Responses ................................................. 207 Appendix J: Homeowner Post-Audit Interview Guide .............................................................................. 211 Appendix K: Homeowner Post-Audit Interview Closed-Ended Responses .............................................. 222 Appendix L: Post-Audit Survey Questions and Responses ....................................................................... 228 Appendix M: Retrofit Survey Questions and Responses .......................................................................... 277 Appendix N: Details of Modeling Data Processing and Preparation ........................................................ 323 Appendix O: EPS Auditor, Home Energy Scoring Tool, and HESPro Feature Comparison ....................... 330 Appendix P: Comparison of Asset-Based Energy Use Estimates .............................................................. 334 Appendix Q: Comparison of Model Estimates to Utility-Reported Energy Usage ................................... 345 Appendix R: Assessment of Impact of Missing Home Energy Scoring Tool Inputs .................................. 368 Behavioral Perspectives on Home Energy Audits Page 3 Appendix S: Comparison of Recommendations—EPS Auditor and Home Energy Scoring Tool .............. 371 Appendix T: Model Assumptions of “Standard” Operation Compared to Reported Behaviors .............. 383 List of Tables Table 1: Overview of research data streams .............................................................................................. 11 Table 2: Overview of research data streams .............................................................................................. 31 Table 3: House and household sample ....................................................................................................... 35 Table 4: Characteristics of audited households as compared to SCL Customer Survey............................. 36 Table 5: Demographic characteristics of survey respondents compared to the community overall ........ 38 Table 6: Number of completed homeowner interviews and surveys by category .................................... 41 Table 7: Mapping of house and homeowner data streams to completed analyses .................................. 44 Table 8: Typical homeowner-initiated post-audit call-back topics ............................................................. 56 Table 9: Factors considered and their impact on recommendations ......................................................... 58 Table 10: Auditor use of “General Notes” field in audit report .................................................................. 59 Table 11: Summary of number of completed homeowner interviews and surveys .................................. 71 Table 12: Reasons cited by Pre-Audit Interviewees for seeking an audit (multiple responses allowed) ... 74 Table 13: What part of the audit process was particularly helpful in convincing household members .... 78 Table 14: Responses on the relative importance of Energy Score versus Carbon Score ........................... 81 Table 15: Reasons given for having undertaken audit (Post-Audit Survey; n=134) ................................... 86 Table 16: After your energy audit, have you discussed your Energy Score ............................................... 88 Table 17: Completed or intended upgrades cited more often after the audit .......................................... 89 Table 18: Completed or intended upgrades cited less often after the audit ............................................. 90 Table 19: How much Retrofit Survey respondents reported learning ....................................................... 92 Table 20: Percentage of audited households receiving “standardized” recommendations ...................... 95 Table 21: Considerations in priority of upgrades (Post-Audit Interviews; n=12) ....................................... 96 Table 22: Number of recommendations that survey respondents reported having completed ............... 99 Table 23: Energy upgrade recommendations received and reported completed ................................... 100 Table 24: Reasons homeowners gave for choosing the retrofits they completed ................................... 102 Table 25: Reasons homeowners gave for delaying planned retrofits (Retrofit Survey; n=95) ................ 102 Table 26: Reasons given for deciding against particular recommendations (Retrofit Survey; n=61) ...... 103 Table 27: Who performed the upgrades that were completed? (Retrofit Survey; n=82) ........................ 103 Table 28: Rating of likelihood of incentive affecting upgrade decision (Pre-Audit Interview; n=33) ...... 104 Table 29: Post-Audit Interview responses to whether it would be “worth” taking out a loan ................ 105 Table 30: Total estimated expenditures for all energy upgrades performed for the households ........... 107 Table 31: Homeowner perceptions of savings from recommended upgrades they undertook .............. 108 Table 32: Reported changes in energy use practices after the audit or after upgrades .......................... 112 Table 33: Summary of upgrade quality assessment, by upgrade type (n=50 houses) ............................. 120 Table 34: Similarities and differences between EPS Auditor, Home Energy Scoring Tool, and HESPro .. 128 Table 35: Data sets utilized for the model comparison ............................................................................ 130 Behavioral Perspectives on Home Energy Audits Page 4 Table 36: Modeling tools and emulators used in the analyses ................................................................ 131 Table 37: Six model comparison analyses completed .............................................................................. 132 Table 38: All Home Energy Scoring Tool recommendations for 31 homes .............................................. 135 Table 39: All EPS Auditor tool recommendations for 31 homes .............................................................. 135 Table 40: Thermostat setbacks reported in the energy use behavior survey .......................................... 140 Table 41: Percentage of homes where EPS asset model estimated usage was substantially lower........ 142 Table 42: Percentage of homes where Home Energy Scoring Tool asset model estimated .................... 142 Table 43: Percentage of homes where HESPro house+weather+behavior model estimated usage ....... 144 Table 44: Findings from the SCL Home Energy Audit study compared to the literature ......................... 149 Table 45: Missing or ambiguous data informing Home Energy Scoring Tool inputs ................................ 325 Table 46: Similarities and Differences between EPS, Home Energy Scoring Tool, and HESPro ............... 330 Table 47: Summary of all EPS and Home Energy Scoring Tool Comparison Runs .................................... 338 Table 48: Total Site Energy (kWheq/yr)—Comparison of Asset, Asset+Weather .................................... 348 Table 49: Total Source Energy (MBTU/yr)—Comparison of Asset, Asset+Weather ................................ 352 Table 50: Electricity Usage (kWhr/yr)—Comparison of Asset, Asset+Weather ....................................... 355 Table 51: Natural Gas Usage (therms/yr)—Comparison of Asset, Asset+Weather ................................. 359 Table 52: Percentage of homes where EPS asset model estimated usage was substantially lower........ 362 Table 53: Percentage of homes where Home Energy Scoring Tool asset model estimated usage .......... 362 Table 54: Percentage of homes where HES-ProHESPro “house+weather+behavior” model .................. 363 Table 55: 15 Houses with Post-Retrofit Assessment Additional Information vs. Home Energy Score .... 369 Table 56: All Home Energy Scoring Tool recommendations for 31 homes .............................................. 373 Table 57: All EPS report “standardized” recommendations for 31 homes .............................................. 373 Table 58: Summary of air sealing recommendations made in EPS Auditor ............................................. 375 Table 59: Details of the 10 air sealing recommendations that coincided ................................................ 375 Table 60: Summary of attic insulation recommendations ....................................................................... 377 Table 61: Details of the 11 attic insulation recommendations that coincided ........................................ 377 Table 62: Summary of floor or basement insulation recommendations ................................................. 378 Table 63: Details of the 7 floor or basement insulation recommendations that coincided .................... 378 Table 64: Summary of duct insulation recommendations ....................................................................... 380 Table 65: Details of the 5 duct insulation recommendations that coincided .......................................... 380 Table 66: Thermostat Setting Assumptions Used in Modeling Tools ....................................................... 384 Table 67: Self-reported thermostat settings from survey respondents ................................................... 384 Table 68: Number of respondents reporting using a particular supplemental heating source ............... 386 Table 69: Large appliance use model assumptions .................................................................................. 389 List of Figures Figure 1: Overview of the home energy audit process and associated actors included in the research ... 12 Figure 2: Overview of the Seattle City Light home energy audit process .................................................. 29 Figure 3: House and household data streams collected in this research ................................................... 35 Figure 4: Home energy audit process and data collection activities .......................................................... 40 Behavioral Perspectives on Home Energy Audits Page 5 Figure 5: Blower door test photo................................................................................................................ 51 Figure 6: Example of EPS savings estimates ............................................................................................... 55 Figure 7: Example of costs reported for recommended energy upgrades from the EPS Report ............... 56 Figure 8: Home labeling and real estate market demand for energy efficient houses .............................. 61 Figure 9: Four current home label options ................................................................................................. 63 Figure 10: Ways labeling differentiates new and existing homes .............................................................. 64 Figure 11: Potential drawbacks to labeling new and existing homes ........................................................ 65 Figure 12: Sample EPS Scorecard ................................................................................................................ 80 Figure 13: Changes in infiltration between values recorded .................................................................... 122 Figure 14: Major sets of activities for model comparison ........................................................................ 129 Figure 15: Estimated total site energy use for Home Energy Scoring Tool compared to EPS .................. 133 Figure 16: Summary of comparison of upgrade recommendations ......................................................... 136 Figure 17: Self-reported and model estimated occupancy vs number of bedrooms in home ................ 139 Figure 18: Histogram of fractional change in model estimated total site energy use of a home ............ 141 Figure 19: Major data collection, processing, and preparation activities for model comparison ........... 323 Figure 20: Percent difference in estimated total source energy use. ...................................................... 327 Figure 21: Percent difference in estimated total source energy use ....................................................... 328 Figure 22: Scatter Plots Comparing EPS and Home Energy Scoring Tool Total Energy Use Estimates .... 339 Figure 23: Distribution of the Percent Difference Between EPS and Home Energy Scoring Tool ............ 340 Figure 24: Scatter Plots Comparing EPS and Home Energy Scoring Tool Total Electricity and Nat Gas ... 341 Figure 25: Distribution of Percent Difference Between EPS and Home Energy Scoring Tool Electricity . 341 Figure 26: Scatter Plots Comparing EPS and Home Energy Scoring Tool Space Heating ......................... 342 Figure 27: Distribution of the Percent Difference Between EPS and Home Energy Scoring Tool ............ 343 Figure 28: Scatter Plots of Model Estimated Total Site Energy vs Utility Reported Usage ...................... 349 Figure 29: Distribution of the Percent Difference Between Model Estimated Total Site Energy ............ 350 Figure 30: Scatter Plots of Model Estimated Total Source Energy vs. Utility Reported Usage ................ 353 Figure 31: Distribution of the Percent Difference Between Model Estimated Total Source Energy ....... 354 Figure 32: Scatter Plots of Model Estimated Electricity Usage vs. Utility Reported Usage ...................... 356 Figure 33: Distribution of the Percent Difference Between Model Estimated Electricity Usage ............. 357 Figure 34: Scatter Plots of Model Estimated Natural Gas Usage vs. Utility Reported Usage ................... 360 Figure 35: Distribution of the Percent Difference Between Model Estimated Natural Gas Usage .......... 361 Figure 36: HESPro+Weather+Behavior model estimated electricity use versus. ..................................... 365 Figure 37: Residuals plotted as a function of the regression predicted value for HESPro ....................... 366 Figure 38: Asset model estimated heating use (site kWheq/yr): EPS vs Home Energy Scoring Tool ....... 372 Figure 39: Asset model estimated air sealing savings: EPS vs Home Energy Scoring Tool ....................... 376 Figure 40: Asset model estimated attic insulation savings: EPS vs Home Energy Scoring Tool ............... 377 Figure 41: Asset model estimated floor or basement insulation savings ................................................. 379 Figure 42: Asset model estimated duct insulation savings: EPS vs Home Energy Scoring Tool ............... 380 Figure 43: Self-reported supplemental heating use ................................................................................. 386 Figure 44: Self-reported and model estimated occupancy versus number of bedrooms in home. ........ 387 Figure 45: Response to question about whether someone is home during the day ............................... 388 Figure 46: Dishwasher use as reported by energy use behavior survey respondents ............................. 390 Behavioral Perspectives on Home Energy Audits Page 6 Figure 47: Energy use behavior response on typical washing machine cycle setting .............................. 390 Figure 48: Washing machine use reported by energy use behavior survey respondents ....................... 391 Figure 49: Clothes dryer use reported by energy use behavior survey respondents .............................. 391 Figure 50: Measured hot water temperatures from EPS home energy audits ........................................ 393 Figure 51: Histogram of fractional change in model estimated total site energy use of a home ............ 394 Behavioral Perspectives on Home Energy Audits Page 7 Acronyms and Abbreviations ACHn Natural air changes per hour BPI Building Performance Institute, Inc. CFL Compact fluorescent lamp CFM Cubic feet per minute CFM50 Airflow needed to create a change in building pressure of 50 Pascals DOE U.S. Department of Energy EPS Energy Performance Score HERS Home Energy Rating Systems HESPro Home Energy Saver Pro kWh Kilowatt hour kWheq Kilowatt hour equivalent LBNL Lawrence Berkeley National Laboratory LEED Leadership in Energy and Environmental Design rating system MPG Miles per gallon NAR National Association of Realtors NREL National Renewable Energy Laboratory REPs Real estate professionals SCL Seattle City Light S.T.A.R. Earth Advantage Institute’s Sustainability Training for Real Estate Professionals educational course Behavioral Perspectives on Home Energy Audits Page 8 Executive Summary Overview During 2010 and 2011, thousands of news articles promoted the potential benefits of home energy audits and of subsequent energy efficiency improvements, signaling a resurgence of interest in motivating homeowners to assess and upgrade their homes. An increasing number of home energy audit programs were already underway in the United States, and auditors, utilities, and others learn from these experiences, and continue to try to design more effective audits, pitches, and programs, as they have for more than thirty years (e.g., Hirst et al. 1981; Van de Grift and Schauer 2010)—since the advent of home energy audits in the 1970s. These home energy audits have generally been designed to overcome what the industry commonly considers “barriers” to increasing home energy efficiency, in particular the perception that homeowners do not have enough information about what to do to increase the energy efficiency of their homes or to solve performance problems, nor about the prospective advantages of these actions. Home energy audits are furthermore sometimes used to generate an energy score to inform potential home buyers about energy efficiency and thereby influence the overall housing stock, to qualify homes for energy efficiency financing, mortgages, loans, or incentives, and to diagnose home energy performance problems. Despite success stories (e.g., Van de Grift and Schauer 2010), the results of home energy audit programs overall have often been considered disappointing: relatively few households undertake audits, and when they do, upgrade recommendations are often not acted upon (Frondel and Vance 2011; Fuller et al. 2010; Palmer et al. 2011). And though there is clearly remaining technical potential, little has been proven about the overall energy savings that result from audits and resulting upgrades, nor the extent to which actual social potential can reach technical potential. Rather than continue to ask why homeowners do not act as theory suggests they should, this research turns the lens more toward homeowners’ views and experiences. A clearer, more open understanding of these views and experiences may help expectations for home energy audits better align with what is likely to be achieved. Our study focused on the perspective of homeowner decision-making in response to home energy audits, combined with attention to the quality of the recommendations that homeowners receive, as well as the perspectives of some key industry actors on auditing and home energy labels. Unlike a program evaluation, the research was not designed to answer detailed questions about program effectiveness in terms of costs, savings, or process, nor was it designed to provide direct answers to questions of how to get people to do more audits or more retrofits. Rather it “steps back” toward a better understanding of more basic questions about what audits provide and what homeowners seem to want, for the case of one particular program that we expect has parallels to many others. In this report, we present the results of a study for the U.S. Department of Energy, applied to an existing home energy audit program and pilot offered by Seattle City Light, the electric utility for the City of Seattle. Portland State University, Research Into Action, and Earth Advantage Institute worked together Behavioral Perspectives on Home Energy Audits Page 9 with Seattle City Light and the Lawrence Berkeley National Laboratory to complete the research project. From mid-2010 to late 2011, approximately 1,350 home energy audits were completed in Seattle as part of Seattle City Light’s program. These audits, and the homeowners who received them, are the subject of our report. The research reported here was designed to advance the field’s knowledge on what homeowners want and get from home energy audits. It did so by simultaneously studying multiple dimensions of these audits, including: physical characteristics of the houses audited, the energy use estimates and upgrade recommendations these audits offered to homeowners, actual energy use data, self-reported retrofit activity and energy use behaviors, physical assessment of the quality of the retrofits undertaken, viewpoints of both auditors and realtors on various key program elements, and—centrally in tying these streams together—homeowner motivations and reactions to the audits, what they consequently changed, and what they thought about the results. These data were used to address gaps in knowledge about home energy efficiency upgrades and audits, including:  Homeowner decision-making processes in planning and undertaking energy retrofits, reactions to home energy performance scores, and satisfaction with the audits performed;  Differences and similarities between home energy assessment and retrofit recommendation tools;  Importance of household energy behaviors relative to house- and equipment-based assessments of home energy performance and upgrade recommendations; and  Industry views on the current and potential future use, and usefulness, of home energy performance ratings in general. While we collected as much as 18 months utility consumption data for these households, the post- retrofit period was typically only 6 months, which was not sufficient to statistically test the degree of energy savings associated with audits and upgrades. Seattle City Light’s Home Energy Audit Program In 2010, Seattle City Light began a program offering Seattle City Light customers owning single-family homes a $400 home energy audit for a discounted rate of $95, with an objective of reaching 5,000 households. These home energy audits used BPI-certified auditors, diagnostic testing, asset-based energy modeling, and an auditor-customizable report featuring an asset rating of the house’s energy and carbon use, upgrade recommendations, and the energy performance details of the house. Earth Advantage Institute’s EPS Auditor modeling and reporting software tool was used for these audits. The Seattle City Light program provided an assessment of the whole house, including attic, walls, windows, foundations, water heating, ducts, and heating and cooling system(s), as well as measurements of air leakage, combustion safety checks, and, when feasible, infrared thermal imaging. Behavioral Perspectives on Home Energy Audits Page 10

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Behavioral Perspectives on Home Energy Audits imply its endorsement, recommendation, or favoring by the United States List of Tables. List of Figures. to help boost upgrade completion, such as financial incentives, direct links to
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