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Incentives for Efficient Household Electricity and Water Consumption

Paper Session

Friday, Jan. 6, 2023 2:30 PM - 4:30 PM (CST)

New Orleans Marriott, Bacchus
Hosted By: Transportation and Public Utilities Group
  • Chair: Frank Wolak, Stanford University

Incentivising Within-Day Shifting of Household Electricity Use

Anke Leroux
,
Monash University
Gordon Leslie
,
Monash University
Michael Ward
,
Monash University

Abstract

Electricity markets with booming rooftop solar adoption exhibit increasingly lower daytime energy prices and higher evening energy prices, and can encounter network stability concerns from low levels of net electricity demand. Therefore, mobilising households to undertake within-day shifting of their electricity consumption is a crucial component for maximising the environmental benefits and economic value of renewable energy investment. We utilize a large user network of a real-time electricity data visualisation product and conduct a randomised controlled trial with over 6000 households to test monetary and non-monetary incentives to encourage households to shift their within-day electricity use to better align with solar energy output. Specifically, incentives are designed across three dimensions: incentives to move consumption into daylight hours (solar sponge incentives) versus incentives to move away from non-daylight hours (peak shave incentives); financial subsidies and rebates per kWh shifted versus a non-monetary incentive scheme where households earn status points per kWh shifted; incentives that target routine (every day) actions versus those that target ad hoc (less frequent) actions. We show that households differ in their sensitivity to program design. Households without rooftop solar installations only respond to solar sponge tariffs resulting in these households shifting some consumption from the evening peak to the middle of the day. In contrast households with rooftop solar also responded to peak shave incentives even if they were of a non-monetary nature. Importantly we find that meaningful and commercially valuable consumption responses can be generated by households on ad hoc event days, and of similar size to households that are instead offered every day incentives, thereby providing support for commercial viability for engaging households in both demand response and time-of-use programs.

Centralized vs Decentralized Demand Response: Evidence from a Field Experiment

Megan R. Bailey
,
University of Calgary
David P. Brown
,
University of Alberta
Blake Shaffer
,
University of Calgary
Frank Wolak
,
Stanford University

Abstract

In electricity markets, increased supply-side production volatility and the anticipated growth in demand due to climate change and electrification enhance the need for flexible electricity demand. Despite efforts to incentivize demand changes, residential electricity demand remains inelastic. In partnership with an electric utility, we implement a large-scale field experiment to evaluate the effectiveness of centrally-managed (utility-controlled) demand, which we suspect may overcome consumers' transaction costs in responding to incentives. We randomize households into several treatment groups that include a Central group with utility-controlled appliances, a Tech group that allows households to remotely manage devices via a mobile phone app, and a Manual group that manually adjusts consumption. Households earn rewards for reducing electricity during periodic ``peak'' events. We find that the Central group reduces demand by 27% during the 3-hour events on average, while the Tech and Manual groups only reduce demand by 4% and 6%. Our findings illustrate that a key barrier to residential demand response is transaction costs rather than technological barriers. We find that centralized control can result in significant peak demand reductions with minimal opt-out rates by households.

Causes and Consequences of Inefficient Municipal Water Pricing

Casey J. Wichman
,
Georgia Institute of Technology

Abstract

Municipal water utilities often design rate structures to recover costs, encourage conservation, and reduce burdens on low-income customers. Implementing these goals jointly may pull water prices away from economically efficient two-part tariffs. In this paper, I characterize the extent to which utilities deviate from efficient pricing using a decade of annual rates and municipal finance data for more than 600 water and wastewater utilities in the southeastern US. I show that, on average, utilities price water substantially below average and marginal cost, which is exacerbated by increasing-block rate structures where inframarginal prices are discounted more severely. These suppressed volumetric rates lead to budget shortfalls, are larger in poorer communities, and offset by historical water scarcity, suggesting a direct equity–efficiency–environmental tradeoff. Estimated revenue elasticities imply that utilities can increase both revenue and conservation, thus reducing deadweight loss from overconsumption, by implementing constant marginal cost pricing.

Information, Incentives, and Goal-Setting: A Field Experiment in Water Usage

David P. Byrne
,
University of Melbourne
Lorenz Goette
,
National University of Singapore and University of Bonn

Abstract

We report results from a 12-week field experiment in residential water usage. We examine how personalized feedback from smart meters and weekly goals-based incentives from a digital platform affect water-conserving behavior. Our results reveal large, 8\% reductions (ITT) in daily water usage in the first month of the trial. Daily conservation effects wane over time but persist within the 3pm-6pm interval throughout the trial. Treatment households accelerating reductions in seasonal outdoor water usage explain the substantial short-run daily conservation effects. We further establish that weekly water usage goals drive within-week water usage dynamics and explore a last-mile problem in implementing monetary incentives.

Discussant(s)
Frank Wolak
,
Stanford University
Robert Metcalfe
,
University of Southern California
Sheila Olmstead
,
University of Texas-Austin
Hunt Allcott
,
Microsoft
JEL Classifications
  • L5 - Regulation and Industrial Policy
  • Q4 - Energy