The Cost of Saving Electricity Through Energy Efficiency Programs Funded by Utility Customers: 2009–2015

Hoffman, Ian M.; Goldman, Charles A.; Murphy, Seán; Frick, Natalie A; Leventis, Greg; Schwartz, Lisa

doi:10.2172/1457014

Cited by 21 publications

(46 citation statements)

References 9 publications

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“…Participating customers also typically pay for a portion of project costs-in some cases, a significant share of the total costs. On a national basis, the total cost of saved electricity was double the program administrator cost of saved electricity between 2009 and 2015: $0.05/kWh vs. $0.025/kWh (Hoffman et al 2018). Thus, we estimate that total market activity leveraged by electricity efficiency programs is about $11.6 billion in 2016.…”

Section: Lowmentioning

confidence: 85%

“…Program Savings -In 2016, efficiency programs funded by utility customers saved 27.5 terawatthours (TWh) of electricity per year, equal to 0.74 percent of retail sales. Efficiency programs funded by customers offset at least 1 percent of investor-owned utility load in 23 states, with four states exceeding savings of 2 percent of sales (Hoffman et al 2018). In the medium case, we project incremental annual electricity savings to increase very modestly to 28 TWh in 2030.…”

Section: Midwestmentioning

confidence: 99%

“…26 In 2010, nine states (CA, CT, HI, MA, MN, NV, OR, RI, VT) with decades of policy commitments to efficiency programs were achieving savings of at least 1 percent of retail electricity sales (Barbose et al 2013). By 2015, efficiency programs funded by customers offset at least 1 percent of IOU load in 23 states, with four states exceeding savings of 2 percent of sales (Hoffman et al 2018). Policy supports for efficiency programs funded by IOU customers drove much of this expansion in program-driven savings.…”

Section: National Overviewmentioning

confidence: 99%

“…In addition to these future scenarios, Berkeley Lab has assessed historical spending and savings trends for electricity efficiency programs for the period 2009 to 2015 in a series of reports on the cost of saving energy (Billingsley et al 2014, Hoffman et al 2015, Hoffman et al 2017, Hoffman et al 2018). These reports provide detailed results down to the program level using information reported by utilities and other program administrators-most recently for 41 states.…”

Section: Introductionmentioning

confidence: 99%

“…Total costs include costs incurred by participating customers. On a national basis, the total cost of saved electricity was double the program administrator cost of saved electricity between 2009 and 2015: $0.05/kWh vs. $0.025/kWh(Hoffman et al 2018).…”

mentioning

confidence: 98%

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The Future of U.S. Electricity Efficiency Programs Funded by Utility Customers: Program Spending and Savings Projections to 2030

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Section: Lowmentioning

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Section: Midwestmentioning

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Section: National Overviewmentioning

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Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models

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Achieving further reductions in building electricity usage requires a detailed characterization of electricity consumption in homes. Understanding drivers of consumption can inform strategies for promoting conservation and efficiency. While there exist numerous approaches for modeling building energy demand, the use of regularization methods in statistical models can address challenges inherent to building energy modeling while also enabling more accurate predictions and better identification of variables that influence consumption. This paper applies five regularization techniques to regression models of original survey and electricity consumption data for more than one thousand households in California. It finds that of these, elastic net and two extensions of the lasso-group lasso and adaptive lasso-outperform other approaches in terms of prediction accuracy and model interpretability. These findings contribute to methodological approaches for modeling energy consumption in buildings as well as to our understanding of key drivers of consumption. The paper shows that while structural factors predominate in explaining annual electricity consumption patterns, habitual actions taken to save energy in the home are important for reducing consumption while pro-environmental attitudes and energy literacy are not. Implications for improving building energy modeling and for informing demand reduction strategies, are discussed in the context of the low-carbon transition.

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The persistence of high energy burdens: A bibliometric analysis of vulnerability, poverty, and exclusion in the United States

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The Cost of Saving Electricity Through Energy Efficiency Programs Funded by Utility Customers: 2009–2015

Cited by 21 publications

References 9 publications

The Future of U.S. Electricity Efficiency Programs Funded by Utility Customers: Program Spending and Savings Projections to 2030

The Future of U.S. Electricity Efficiency Programs Funded by Utility Customers: Program Spending and Savings Projections to 2030

Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models

The persistence of high energy burdens: A bibliometric analysis of vulnerability, poverty, and exclusion in the United States

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