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Use Case 1: Estimate the impact of energy consumption feedback to the consumers in terms of energy savings.

PPC’s customers’ distribution in square meters class and electricity heating on winter.
CW’s customers’ distribution in square meters class and electricity heating on winter.

Rationale: Energy feedback is considered primarily a human related task and thus, user-centered approaches should be employed. Among investigated mechanisms and visual solutions, the research community has currently reached a partial consensus on a set of basic interactions that are generally successful in promoting reductions in energy consumption via consumption feedback methods. These methods include:

  • Goal setting interfaces: Interfaces based on users’ desire of fulfilling a given objective, either induced by the interface or self imposed by home inhabitants.
  • Direct feedback: Timely updated in home displays (IHDs) showing the home current energy consumption.
  • Historical trends in consumption: Showing how home consumption evolves over time and highlighting temporal correlations.

Research questions:

1. Are there crowd out effects between different message framings?
2. Do consumers know about pricing differentials between peak and off-peak consumption?
3. Can consumers “correctly” estimate the energy use for everyday household appliances?
4. Does consumption feedback through consumer ranking affect energy conservation?

Design and impact:  Using data from DSOs that participate in the EVIDENT project we will create historical data on energy consumption for a treatment and a control group and then, the treatment group will be informed about this data in a simplified manner. Results are expected to show that direct power feedback provided by an IHD actually encourages people to make more efficient use of energy and that can reduce consumption of energy, on average, by about 7%. We expect that more than 10,000 consumers will be included in this trial.

Key Performance Indications (KPIs):  

1. Percentage of residential energy saving induced by behavioural insights in the short term (>2% by treatment group).
2. Percentage of residential energy saving induced by behavioural insights in the long term (>2% by treatment group).
3. Percentage of users’ understanding the informational material (> 85%).
4. Number of consumers in both Greece and Sweden (> 50,000).

Involved Energy Actors:   PPC and CWATT

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957117. The information contained in this website reflects only the authors’ view. EC is not responsible for any use that may be made of this information.