Event-based upward flexibility in Great Britain

Last registered on September 24, 2025

Pre-Trial

Trial Information

General Information

Title
Event-based upward flexibility in Great Britain
RCT ID
AEARCTR-0016220
Initial registration date
June 13, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
June 16, 2025, 7:41 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
September 24, 2025, 1:57 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Primary Investigator

Affiliation
Centre for Net Zero

Other Primary Investigator(s)

PI Affiliation
Centre for Net Zero
PI Affiliation
Centre for Net Zero, Columbia University
PI Affiliation
Centre for Net Zero

Additional Trial Information

Status
Completed
Start date
2024-06-14
End date
2024-09-14
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The growth of renewables is creating frequent periods of electricity oversupply, driving wholesale prices to zero or even negative levels and leading to surging curtailment costs. A promising but understudied lever is to encourage households to shift electricity use into periods of surplus supply, helping to balance future electricity grids in Great Britain and other countries transitioning to high-renewable systems.

To explore the potential of this demand-shifting approach at scale, Centre for Net Zero (CNZ) will conduct a large-scale randomized controlled trial (RCT) with 60,000 households across Great Britain to test how different financial incentives affect household electricity demand during “Turn-up” events. These events occur when wholesale prices are forecast to be very low or negative, simulating a future in which price signals are passed through to consumers to encourage demand-side flexibility.
External Link(s)

Registration Citation

Citation
Grainger, Joe et al. 2025. "Event-based upward flexibility in Great Britain." AEA RCT Registry. September 24. https://doi.org/10.1257/rct.16220-1.3
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Experimental Details

Interventions

Intervention(s)
See analysis plan.
Intervention (Hidden)
Between June and September 2025, we will run five “Turn-Up” events in partnership with Octopus Energy Limited (OE), with exact timing determined by market conditions. For each event, participating customers will be randomly assigned to one of five groups:
1. Control – no incentive is offered during the event.
2. 50% Discount – customers receive a 50% discount on their electricity usage (£/kWh) during the event window.
3. 100% Discount (Free Electricity) – customers pay nothing for electricity consumed during the event.
4. Free Electricity + Low Payment – in addition to receiving free electricity, customers are offered a small monetary payment (5p/kWh, approximately 25% of customers’ typical unit rate) for each kWh they turn up.
5. Free Electricity + High Payment – customers receive free electricity and a larger monetary payment (15p/kWh, approximately 75% of customers’ typical unit rate).

Customers will be randomized into a sequence of events such that each customer receives each of the five conditions (four treatments and one rotating control). More explanations about how these sequences are generated in the experimental design description below. In addition, we will include a separate group of customers who are never treated in any event; this pure control group will serve as a baseline for evaluating the effects of trial participation itself, independent of treatment exposure.

Those selected are automatically notified via email prior to each session, with instructions on the time window and the reward offered. They are encouraged to shift their electricity usage, such as running the washing machine, charging their electric vehicle, or heating water, into the designated session period. After each session, they receive a summary of their usage and rewards, which may include discounts, free electricity, or cash payments.

Sample: We will access a pool of 480,523 customers who:

1) Are not enrolled and have not been contacted for other Turn-ups campaigns, which include: NPG Power-ups, LCM Power-ups and UKPN Power-ups
2) Are not enrolled for the Free Electricity Octoplus campaign
3 Have a working smart meter that is sending at least half hourly meter readings
4) Are not on the Agile Octopus tariffs (these customers are already responding to half-hourly wholesale price signals, including negative wholesale prices)

We will hold 5 “Turn up” events during June through September 2025 – each event lasting 1 hour. These events will not happen on predetermined days – they will run when the price of the electricity in the day ahead market is close to 0 or negative.
Intervention Start Date
2024-06-14
Intervention End Date
2024-09-14

Primary Outcomes

Primary Outcomes (end points)
Associated MPAN electricity consumption (import kWh only) at the half hourly level during “Turn up” events, in kWh
Primary Outcomes (explanation)
Consumption is measured at the customer meter point level.

Secondary Outcomes

Secondary Outcomes (end points)
Survey responses sent to all participating households (including identified pure control groups who never receive any outreach on the events). These include:
To what extent do you think that it is technically feasible to stop greenhouse gas emissions by the end of the century while [maintaining / sustaining] satisfactory standards of living in [country]?
Not at all; A little; Moderately; A lot; A great deal
If we decide to halt climate change through ambitious policies, to what extent do you think it would negatively affect your lifestyle?
Not at all; A little; Moderately; A lot; A great deal
Do you believe that Government climate policies will provide more benefits or impose more costs on you personally?
Mostly benefits; Neutral; mostly costs
Secondary Outcomes (explanation)
These survey questions are designed to assess whether participation in the trial influences individuals' perceptions of the energy transition – specifically, whether it increases the likelihood that they view the transition as personally beneficial. The exact wording may be refined following piloting to ensure clarity, neutrality, and respondent comprehension.

Experimental Design

Experimental Design
See analysis plan.
Experimental Design Details
See attached analysis plan for details.

Our primary research question is, how do financial incentives affect half-hourly electricity consumption (kWh) during “Turn-up” events? Specifically, this trial aims to quantify the causal impact of different incentive levels – a 50% discount, free electricity, and free electricity with two levels of additional payments – on customers’ short-term electricity usage during targeted event windows.

The primary analysis will estimate the overall treatment effects during Turn-up events by comparing each treatment group to a pooled control group. This pooled control includes both the rotating control group (assigned during each event) and the pure control group (which is never contacted and never treated).
Randomization Method
Computer using R. See attached analysis plan for details.
Randomization Unit
Account number
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
60,000 clusters, where regressions are clustered at the customer account level
Sample size: planned number of observations
For 60,000 customers, each event includes two half-hour periods (i.e., one hour per event), with a total of 5 events. This results in approximately 600,000 observations in the main analysis, clustered at the customer level (60,000 clusters).
Sample size (or number of clusters) by treatment arms
Treatment: 50,042 (among which 20% will be a "rotating control group" at any given event; see analysis plan for details)
Pure Control: 9,958
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We conducted simple simulations of our trial design using consumption data from British Octopus Energy customers in 2024, assuming 10,000 customers per trial arm (ignoring the “pure control” group, which we believe makes our power calculations conservative). We created placebo treatment and control indicators, assuming five “events” between May and July 2024. Using the rule of 2.8 (wherein the MDES at 80% power and 5% alpha is 2.8 times the standard error on the treatment coefficient), we find that our MDES is 0.0168 kWh per hour (2.11% of hourly consumption during events).
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials