Using what they call ‘dynamic norm feedback’ to show how others are saving energy Greenely and Stanford University are launching Greenely Go in California, a mobile app to help PG&E customers reduce their energy use. The app, which is free to PG&E customers, uses a behavioral algorithm to reduce energy usage in the state.
"Many homes already receive comparisons of their energy usage to their neighbors to help encourage energy savings, what we refer to as 'static norm feedback’,” explained Gregg Sparkman, a researcher at Dept. of Psychology, Stanford University. “We believe it will be more influential to show people 'dynamic norm feedback' by highlighting that others are reducing their home energy use, which signals that energy conservation is important and that change is possible. In other domains, like water conservation, we've seen that learning that others are changing can be three times as effective than just comparing one's own use to others," says Gregg Sparkman, PhD. researcher at Dept. of Psychology, Stanford University.
The app, which uses energy consumption data from PG&E, was developed over a year. Its development followed two years of research and development of behavioral technologies for reducing energy consumption to a greater extent than previously achieved, according to Greenely. At the heart of the technologies is a dynamic comparison with equivalent households. Previously Stanford University has achieved used similar methods to help people embrace sustainable behaviors by reducing meat and water consumption.
"We hope to demonstrate a higher energy efficiency rate than previous behavioral techniques. Following the project, the results will be presented to the major energy utilities in the United States to commercialize the service and build a business here in the United States," said Tanmoy Bari, CEO of Greenely.
The project, which will run for the next year, is funded by the Swedish Energy Agency, KIC InnoEnergy, Stanford University and Greenely.Tweet