E-6ENSC (EAC) IR-1 to IR-43 (Revised April 6, 2011) 3/29/2011
18 passages
- 10 solutions in the future and, as a result, higher measure uptake and/or reduced program costs. 1 Request IR-10: 2 3 Please confirm that the Home Energy Report (4.7% of the residential budget) is expected 4 to deliver 26% of the GW/h sa...
AI summary The Home Energy Report is expected to deliver significant energy savings in the residential sector. The report's baseline assumptions include 201.4 kWh annual savings per household and a program budget of $901,875. Further evidence on projected savings is referenced in attachments.
ikely to be Spanish speaking. They were also lower income. share of the college-educated in the block group. We expect that environmentalists are more likely to live in liberal, educated communities. We have access to two other revealed pr...
AI summary The text analyzes factors influencing household participation in renewable energy programs, linking environmentalism to education, political affiliation, and income. It describes a study using voter data and a 2009 survey of Home Energy Report (HER) recipients, noting differences in electricity consumption and demographics between treatment and control groups.
Results Table 2 shows the mean overall treatment effect and the treatment effect by own and neighborhood ideology, own and neighborhood education, and house characteristics using specifications 1-4. We obtain a mean overall treatment effec...
AI summary The analysis reveals a mean treatment effect of -0.021 on electricity consumption, with differential impacts based on political ideology and green energy engagement. Conservatives show smaller reductions (0.4%) compared to liberals (1.1%), while unregistered voters and green energy purchasers exhibit larger responses (2.9% and 1.5%, respectively). Environmental donors also show reduced consumption (1.0%).
Opting out of the Treatment The decision to quit the HER treatment and consumer survey reactions to the HER report provide additional evidence on which subgroups of the population disliked the treatment that are consistent with our identit...
AI summary The analysis reveals that households opting out of the Home Energy Report (HER) treatment were more likely to be high electricity consumers and less likely to be liberals. Liberals were 15% less likely to opt out and showed significantly lower probabilities of finding the reports useless or disliking them compared to conservatives.
Conclusion "Nudge" based policy prescriptions seek to make us healthier, richer in our retirement (through opt out defaults), and better environmental citizens. In one consumer finance experiment, "nudges" that are inexpensive to implement...
AI summary The text discusses how 'nudge' policies in energy conservation may have differential effects on liberals and conservatives, with the latter potentially resisting or defying such measures. It highlights the role of Home Energy Reports (HER) in influencing behavior, the need for targeted messaging, and the potential effectiveness of combining nudges with stricter policies like building codes and higher electricity prices.
References ADM Associates, Inc. 2009. The Impact of Home Electricity Reports. September. Akerlof, George and Rachel E. Kranton. 2000. Economics and Identity. The Quarterly Journal of Economics . 115(3): 715-753. Akerlof, George and Rachel...
AI summary The references include academic studies on energy conservation, behavioral economics, and policy impacts, focusing on social norms, peer comparisons, building codes, and residential demand elasticity. Key themes involve the influence of identity, feedback mechanisms, and pricing structures on energy usage.
Table 6: Decision to Opt Out of Treatment and View of Reports by Ideology Dependent Variable =1 if Reports of Dislike Opt Out No Value Reports Dummy=1 if Above community mean electricity use 0.013 0.082 0.138 (0.002) (0.035) (0.036) Logari...
AI summary Table 6 presents statistical analysis on factors influencing decisions to opt out of treatment and perceptions of home energy reports, segmented by ideology. Variables such as electricity use, age, and political affiliation are analyzed, with findings indicating that higher electricity use and certain political registrations correlate with higher opt-out rates and lower perceived value of reports.
lanations for conformity depend most importantly on whether the action taken is observed or unobserved and whether we are considering consumption of private goods or private provision of public goods. There are three pathways through which...
AI summary The text discusses how information on neighbors' electricity consumption may influence household energy demand through three pathways: inducing conservation, contributing to public goods, and facilitating social learning. It references several studies and highlights the potential for households to re-optimize energy usage based on new information.
2.4 Attrition The pilot program experienced two forms of attrition, account closure and opting out. Consumers close accounts when they move to a different house; 1.25 and 1.24 percent of Treatment and Control households, respectively, clos...
AI summary The pilot program experienced attrition through account closure and opting out. Account closure rates were similar between Treatment and Control groups, while opting out was more common among older, lower-income households. These households still had their electricity bills observed.
3.1 Average Treatment Effects This section details the straightforward approach to estimate the Population Average Treatment Effect of the Home Energy Reports in the population of eligible households. Simply put, the preferred specificatio...
AI summary This section explains the method for estimating the Average Treatment Effect (ATE) of Home Energy Reports on energy consumption. It uses the Rubin Causal Model, considering both treatment and control groups, and acknowledges that some households opted out of the treatment. The ATE is calculated by comparing outcomes between groups, with adjustments for opt-out rates.
percent. Although this specification was initially included to demonstrate the innocuousness of using logs to compute percent changes, it is clear that in this case, that approach would be misleading. Figure 8.4 illustrates the estimated A...
AI summary The text discusses the Average Treatment Effect (ATE) on meter reads over time for households receiving quarterly and monthly reports. It notes that the treatment effect becomes noticeable by the second meter read and grows between February and July, possibly due to increased program response and seasonal factors.
8.1 Home Energy Reports: Social Comparison Module
AI summary Section 8.1 discusses the Social Comparison Module within Home Energy Reports, which is likely a feature designed to compare a household's energy usage with that of similar households, promoting energy efficiency through comparative feedback.
8.2 Home Energy Reports: Action Steps Module
AI summary This section discusses the Home Energy Reports: Action Steps Module, which is part of a broader initiative to improve energy efficiency in residential settings. It includes a figure referencing page 75, Figure 5.
Re: OPOWER 2 ½ Year Results at Sacramento Municipal Utility District To Whom it May Concern: OPOWER is pleased to share the latest analysis of the nation's longest running behavioral energy program, our 35,000 household Home Energy Report...
AI summary OPOWER shares results from a 2 ½ year analysis of its Home Energy Report program with Sacramento Municipal Utility District (SMUD), confirming sustained energy savings of 2.89% in Year 2 and no signs of impact deterioration over 30 months. The findings validate the effectiveness of the program and its M&V methodology used at other utilities.
ve information on how to reduce electricity consumption by electric heating systems); and c) most strikingly, information on how their electricity use compares to that of neighbors with similar homes. Importantly, the program was set up as...
AI summary The program involved randomly assigning households to receive Home Electricity Reports (treatment group) or not (control group), with the goal of reducing electricity consumption. The treatment group received reports either monthly or quarterly, with higher energy consumers more likely to receive monthly reports. Studies, including one by Summit Blue Consulting, evaluated the program's impact.
1 Request IR-14: 2 3 Many/most jurisdictions using OPower utilities are claiming a one year measure life. This 4 yields large annual savings, but much smaller lifetime savings and net benefits. Has ENSC 5 considered this factor in the form...
AI summary The document discusses a request regarding the Home Energy Report pilot, specifically whether ENSC considered the one-year measure life assumption used by many jurisdictions. ENSC confirms that it has assumed a one-year measure life for annual savings in the pilot.
Residential - 1.Efficient Products - 2.Existing Houses (includes fuel substitution, pilot in 2011) - 3.Low Income Households (includes fuel substitution, pilot in 2011) - 4.New Houses - 5.Home Energy Report (new in 2012)
AI summary The residential section outlines various energy efficiency initiatives, including efficient products, existing and new houses, fuel substitution pilots starting in 2011, and the introduction of the Home Energy Report in 2012.
Two primary feedback options - On-bill report: feedback information integrated into NSPI bills - Standalone report: feedback provided to customers separately from utility bills - - May involve combination of mailed information and online t...
AI summary The document outlines two primary feedback options for customer engagement: on-bill reports integrated into NSPI bills and standalone reports provided separately, which may include mailed information and online tools. Implementation will involve collaboration between ENSC and NSPI, with the final format determined in 2011. The Smart Meter-Integrated Home Energy Report is also under consideration.